From 43d6bfdd3c1de2afd184edfeeaa2c38e29ba3cd8 Mon Sep 17 00:00:00 2001 From: Lenka Chandini Date: Sat, 18 Jan 2025 12:50:26 +0530 Subject: [PATCH] Fixed the Library - PyBioMed --- PyBioMed/PyGetMol/Getmol.py | 120 +- PyBioMed/PyMolecule/connectivity.py | 96 +- PyBioMed/PyMolecule/connectivity_old.py | 1227 ++ PyBioMed/PyMolecule/constitution.py | 14 +- PyBioMed/PyMolecule/estate.py | 6 +- PyBioMed/PyMolecule/topology.py | 2 +- PyBioMed/aaindex1 | 10575 ---------------- .../doc/_build/doctrees/User_guide.doctree | Bin 97512 -> 0 bytes .../doc/_build/doctrees/application.doctree | Bin 62556 -> 0 bytes PyBioMed/doc/_build/doctrees/download.doctree | Bin 7945 -> 0 bytes .../doc/_build/doctrees/environment.pickle | Bin 2243143 -> 0 bytes PyBioMed/doc/_build/doctrees/index.doctree | Bin 10750 -> 0 bytes PyBioMed/doc/_build/doctrees/modules.doctree | Bin 2946 -> 0 bytes PyBioMed/doc/_build/doctrees/overview.doctree | Bin 37700 -> 0 bytes .../doctrees/reference/AAComposition.doctree | Bin 27801 -> 0 bytes .../_build/doctrees/reference/AAIndex.doctree | Bin 33972 -> 0 bytes .../doctrees/reference/AtomProperty.doctree | Bin 9507 -> 0 bytes .../doctrees/reference/AtomTypes.doctree | Bin 10961 -> 0 bytes .../reference/Autocorrelation.doctree | Bin 169941 -> 0 bytes .../doc/_build/doctrees/reference/CTD.doctree | Bin 130474 -> 0 bytes .../doctrees/reference/ConjointTriad.doctree | Bin 9391 -> 0 bytes .../_build/doctrees/reference/GetDNA.doctree | Bin 20724 -> 0 bytes .../doctrees/reference/GetProtein.doctree | Bin 39663 -> 0 bytes .../reference/GetProteinFromUniprot.doctree | Bin 14733 -> 0 bytes .../doctrees/reference/GetSubSeq.doctree | Bin 10280 -> 0 bytes .../_build/doctrees/reference/Getmol.doctree | Bin 32629 -> 0 bytes .../doctrees/reference/ProCheck.doctree | Bin 9502 -> 0 bytes .../doctrees/reference/PseudoAAC.doctree | Bin 62688 -> 0 bytes .../reference/PubChemFingerprints.doctree | Bin 33660 -> 0 bytes .../_build/doctrees/reference/PyDNA.doctree | Bin 2948 -> 0 bytes .../_build/doctrees/reference/PyDNAac.doctree | Bin 48915 -> 0 bytes .../doctrees/reference/PyDNAacutil.doctree | Bin 11189 -> 0 bytes .../doctrees/reference/PyDNAnac.doctree | Bin 32813 -> 0 bytes .../doctrees/reference/PyDNAnacutil.doctree | Bin 55687 -> 0 bytes .../doctrees/reference/PyDNApsenac.doctree | Bin 59500 -> 0 bytes .../reference/PyDNApsenacutil.doctree | Bin 28177 -> 0 bytes .../doctrees/reference/PyDNAutil.doctree | Bin 59850 -> 0 bytes .../doctrees/reference/PyGetMol.doctree | Bin 2823 -> 0 bytes .../doctrees/reference/PyInteraction.doctree | Bin 3329 -> 0 bytes .../reference/PyInteraction_module.doctree | Bin 15763 -> 0 bytes .../doctrees/reference/PyMolecule.doctree | Bin 3375 -> 0 bytes .../doctrees/reference/PyPreTools.doctree | Bin 11359 -> 0 bytes .../doctrees/reference/PyPretreat.doctree | Bin 2887 -> 0 bytes .../doctrees/reference/PyPretreatDNA.doctree | Bin 60567 -> 0 bytes .../doctrees/reference/PyPretreatMol.doctree | Bin 75280 -> 0 bytes .../reference/PyPretreatMolutil.doctree | Bin 8260 -> 0 bytes .../doctrees/reference/PyPretreatPro.doctree | Bin 9621 -> 0 bytes .../doctrees/reference/PyProtein.doctree | Bin 3205 -> 0 bytes .../reference/PyProteinAAComposition.doctree | Bin 28044 -> 0 bytes .../reference/PyProteinAAIndex.doctree | Bin 35349 -> 0 bytes .../doctrees/reference/PyProteinclass.doctree | Bin 68791 -> 0 bytes .../reference/QuasiSequenceOrder.doctree | Bin 532101 -> 0 bytes .../doctrees/reference/Scaffolds.doctree | Bin 16030 -> 0 bytes .../_build/doctrees/reference/basak.doctree | Bin 73340 -> 0 bytes .../_build/doctrees/reference/bcut.doctree | Bin 20158 -> 0 bytes .../_build/doctrees/reference/cats2d.doctree | Bin 31083 -> 0 bytes .../_build/doctrees/reference/charge.doctree | Bin 117382 -> 0 bytes .../doctrees/reference/connectivity.doctree | Bin 205007 -> 0 bytes .../doctrees/reference/constitution.doctree | Bin 133114 -> 0 bytes .../_build/doctrees/reference/estate.doctree | Bin 27428 -> 0 bytes .../doctrees/reference/fingerprint.doctree | Bin 101866 -> 0 bytes .../_build/doctrees/reference/geary.doctree | Bin 26592 -> 0 bytes .../doctrees/reference/ghosecrippen.doctree | Bin 8327 -> 0 bytes .../_build/doctrees/reference/kappa.doctree | Bin 40584 -> 0 bytes .../doc/_build/doctrees/reference/moe.doctree | Bin 42971 -> 0 bytes .../doctrees/reference/molproperty.doctree | Bin 47865 -> 0 bytes .../_build/doctrees/reference/moran.doctree | Bin 25980 -> 0 bytes .../doctrees/reference/moreaubroto.doctree | Bin 26630 -> 0 bytes .../_build/doctrees/reference/test.doctree | Bin 3024 -> 0 bytes .../_build/doctrees/reference/test2.doctree | Bin 4004 -> 0 bytes .../doctrees/reference/test_PyBioMed.doctree | Bin 6021 -> 0 bytes .../doctrees/reference/test_PyDNA.doctree | Bin 5937 -> 0 bytes .../doctrees/reference/test_PyGetMol.doctree | Bin 6026 -> 0 bytes .../reference/test_PyInteration.doctree | Bin 6133 -> 0 bytes .../reference/test_PyMolecule.doctree | Bin 6077 -> 0 bytes .../reference/test_PyPretreat.doctree | Bin 6077 -> 0 bytes .../doctrees/reference/test_PyProtein.doctree | Bin 6049 -> 0 bytes .../doctrees/reference/topology.doctree | Bin 123422 -> 0 bytes PyBioMed/doc/_build/doctrees/test.doctree | Bin 4558 -> 0 bytes PyBioMed/doc/_build/html/.buildinfo | 4 - PyBioMed/doc/_build/html/User_guide.html | 679 - PyBioMed/doc/_build/html/_images/CCI.png | Bin 965428 -> 0 bytes PyBioMed/doc/_build/html/_images/CPI.png | Bin 1330003 -> 0 bytes PyBioMed/doc/_build/html/_images/DNA.png | Bin 32731 -> 0 bytes PyBioMed/doc/_build/html/_images/DPI.png | Bin 27864 -> 0 bytes PyBioMed/doc/_build/html/_images/brief.png | Bin 1869060 -> 0 bytes PyBioMed/doc/_build/html/_images/caco2.png | Bin 22980 -> 0 bytes PyBioMed/doc/_build/html/_images/logocbdd.png | Bin 136304 -> 0 bytes .../_build/html/_images/single_features.png | Bin 1188615 -> 0 bytes .../doc/_build/html/_images/solubility.png | Bin 57716 -> 0 bytes PyBioMed/doc/_build/html/_images/subcell.png | Bin 29388 -> 0 bytes .../_build/html/_modules/AAComposition.html | 284 - .../doc/_build/html/_modules/AAIndex.html | 418 - .../_build/html/_modules/AtomProperty.html | 207 - .../doc/_build/html/_modules/AtomTypes.html | 287 - .../_build/html/_modules/Autocorrelation.html | 1127 -- PyBioMed/doc/_build/html/_modules/CTD.html | 875 -- .../_build/html/_modules/ConjointTriad.html | 188 - PyBioMed/doc/_build/html/_modules/GetDNA.html | 253 - .../doc/_build/html/_modules/GetProtein.html | 532 - .../html/_modules/GetProteinFromUniprot.html | 204 - .../doc/_build/html/_modules/GetSubSeq.html | 176 - PyBioMed/doc/_build/html/_modules/Getmol.html | 336 - .../doc/_build/html/_modules/ProCheck.html | 154 - .../doc/_build/html/_modules/PseudoAAC.html | 756 -- .../html/_modules/PubChemFingerprints.html | 1661 --- .../doc/_build/html/_modules/PyDNAac.html | 553 - .../doc/_build/html/_modules/PyDNAacutil.html | 204 - .../doc/_build/html/_modules/PyDNAnac.html | 367 - .../_build/html/_modules/PyDNAnacutil.html | 849 -- .../doc/_build/html/_modules/PyDNApsenac.html | 657 - .../_build/html/_modules/PyDNApsenacutil.html | 356 - .../doc/_build/html/_modules/PyDNAutil.html | 542 - .../_build/html/_modules/PyInteraction.html | 250 - .../doc/_build/html/_modules/PyPreTools.html | 217 - .../_build/html/_modules/PyPretreatDNA.html | 542 - .../_build/html/_modules/PyPretreatMol.html | 291 - .../_build/html/_modules/PyPretreatPro.html | 155 - .../doc/_build/html/_modules/PyProtein.html | 515 - .../html/_modules/PyProteinAAComposition.html | 284 - .../html/_modules/PyProteinAAIndex.html | 412 - .../html/_modules/QuasiSequenceOrder.html | 715 -- .../doc/_build/html/_modules/Scaffolds.html | 207 - PyBioMed/doc/_build/html/_modules/basak.html | 646 - PyBioMed/doc/_build/html/_modules/bcut.html | 329 - PyBioMed/doc/_build/html/_modules/cats2d.html | 384 - PyBioMed/doc/_build/html/_modules/charge.html | 839 -- .../_build/html/_modules/connectivity.html | 1305 -- .../_build/html/_modules/constitution.html | 811 -- PyBioMed/doc/_build/html/_modules/estate.html | 365 - .../doc/_build/html/_modules/fingerprint.html | 774 -- PyBioMed/doc/_build/html/_modules/geary.html | 339 - .../_build/html/_modules/ghosecrippen.html | 196 - PyBioMed/doc/_build/html/_modules/index.html | 147 - PyBioMed/doc/_build/html/_modules/kappa.html | 392 - PyBioMed/doc/_build/html/_modules/moe.html | 345 - .../doc/_build/html/_modules/molproperty.html | 376 - PyBioMed/doc/_build/html/_modules/moran.html | 338 - .../doc/_build/html/_modules/moreaubroto.html | 320 - .../_build/html/_modules/test_PyBioMed.html | 148 - .../doc/_build/html/_modules/test_PyDNA.html | 478 - .../_build/html/_modules/test_PyGetMol.html | 202 - .../html/_modules/test_PyInteration.html | 191 - .../_build/html/_modules/test_PyMolecule.html | 406 - .../_build/html/_modules/test_PyPretreat.html | 170 - .../_build/html/_modules/test_PyProtein.html | 375 - .../doc/_build/html/_modules/topology.html | 880 -- .../doc/_build/html/_sources/User_guide.txt | 531 - .../doc/_build/html/_sources/application.txt | 446 - .../doc/_build/html/_sources/download.txt | 40 - PyBioMed/doc/_build/html/_sources/index.txt | 40 - PyBioMed/doc/_build/html/_sources/modules.txt | 13 - .../doc/_build/html/_sources/overview.txt | 126 - .../html/_sources/reference/AAComposition.txt | 7 - .../html/_sources/reference/AAIndex.txt | 7 - .../html/_sources/reference/AtomProperty.txt | 7 - .../html/_sources/reference/AtomTypes.txt | 7 - .../_sources/reference/Autocorrelation.txt | 7 - .../_build/html/_sources/reference/CTD.txt | 7 - .../html/_sources/reference/ConjointTriad.txt | 7 - .../_build/html/_sources/reference/GetDNA.txt | 7 - .../html/_sources/reference/GetProtein.txt | 7 - .../reference/GetProteinFromUniprot.txt | 7 - .../html/_sources/reference/GetSubSeq.txt | 7 - .../_build/html/_sources/reference/Getmol.txt | 7 - .../html/_sources/reference/ProCheck.txt | 7 - .../html/_sources/reference/PseudoAAC.txt | 7 - .../reference/PubChemFingerprints.txt | 7 - .../_build/html/_sources/reference/PyDNA.txt | 13 - .../html/_sources/reference/PyDNAac.txt | 7 - .../html/_sources/reference/PyDNAacutil.txt | 7 - .../html/_sources/reference/PyDNAnac.txt | 7 - .../html/_sources/reference/PyDNAnacutil.txt | 7 - .../html/_sources/reference/PyDNApsenac.txt | 7 - .../_sources/reference/PyDNApsenacutil.txt | 7 - .../html/_sources/reference/PyDNAutil.txt | 7 - .../html/_sources/reference/PyGetMol.txt | 9 - .../html/_sources/reference/PyInteraction.txt | 7 - .../reference/PyInteraction_module.txt | 7 - .../html/_sources/reference/PyMolecule.txt | 26 - .../html/_sources/reference/PyPreTools.txt | 7 - .../html/_sources/reference/PyPretreat.txt | 10 - .../html/_sources/reference/PyPretreatDNA.txt | 7 - .../html/_sources/reference/PyPretreatMol.txt | 7 - .../_sources/reference/PyPretreatMolutil.txt | 7 - .../html/_sources/reference/PyPretreatPro.txt | 7 - .../html/_sources/reference/PyProtein.txt | 19 - .../reference/PyProteinAAComposition.txt | 7 - .../_sources/reference/PyProteinAAIndex.txt | 7 - .../_sources/reference/PyProteinclass.txt | 7 - .../_sources/reference/QuasiSequenceOrder.txt | 7 - .../html/_sources/reference/Scaffolds.txt | 7 - .../_build/html/_sources/reference/basak.txt | 7 - .../_build/html/_sources/reference/bcut.txt | 7 - .../_build/html/_sources/reference/cats2d.txt | 7 - .../_build/html/_sources/reference/charge.txt | 7 - .../html/_sources/reference/connectivity.txt | 7 - .../html/_sources/reference/constitution.txt | 7 - .../_build/html/_sources/reference/estate.txt | 7 - .../html/_sources/reference/fingerprint.txt | 7 - .../_build/html/_sources/reference/geary.txt | 7 - .../html/_sources/reference/ghosecrippen.txt | 7 - .../_build/html/_sources/reference/kappa.txt | 7 - .../_build/html/_sources/reference/moe.txt | 7 - .../html/_sources/reference/molproperty.txt | 7 - .../_build/html/_sources/reference/moran.txt | 7 - .../html/_sources/reference/moreaubroto.txt | 7 - .../_build/html/_sources/reference/test.txt | 17 - .../_build/html/_sources/reference/test2.txt | 7 - .../html/_sources/reference/test_PyBioMed.txt | 7 - .../html/_sources/reference/test_PyDNA.txt | 7 - .../html/_sources/reference/test_PyGetMol.txt | 7 - .../_sources/reference/test_PyInteration.txt | 7 - .../_sources/reference/test_PyMolecule.txt | 7 - .../_sources/reference/test_PyPretreat.txt | 7 - .../_sources/reference/test_PyProtein.txt | 7 - .../html/_sources/reference/topology.txt | 7 - PyBioMed/doc/_build/html/_sources/test.txt | 21 - .../doc/_build/html/_static/ajax-loader.gif | Bin 673 -> 0 bytes PyBioMed/doc/_build/html/_static/basic.css | 611 - .../_build/html/_static/comment-bright.png | Bin 3500 -> 0 bytes .../doc/_build/html/_static/comment-close.png | Bin 3578 -> 0 bytes PyBioMed/doc/_build/html/_static/comment.png | Bin 3445 -> 0 bytes PyBioMed/doc/_build/html/_static/contents.png | Bin 202 -> 0 bytes PyBioMed/doc/_build/html/_static/doctools.js | 287 - .../doc/_build/html/_static/down-pressed.png | Bin 347 -> 0 bytes PyBioMed/doc/_build/html/_static/down.png | Bin 347 -> 0 bytes PyBioMed/doc/_build/html/_static/file.png | Bin 358 -> 0 bytes .../doc/_build/html/_static/jquery-1.11.1.js | 10308 --------------- PyBioMed/doc/_build/html/_static/jquery.js | 4 - PyBioMed/doc/_build/html/_static/logo.png | Bin 267364 -> 0 bytes PyBioMed/doc/_build/html/_static/minus.png | Bin 173 -> 0 bytes .../doc/_build/html/_static/navigation.png | Bin 218 -> 0 bytes PyBioMed/doc/_build/html/_static/plus.png | Bin 173 -> 0 bytes PyBioMed/doc/_build/html/_static/pygments.css | 65 - .../doc/_build/html/_static/searchtools.js | 751 -- .../doc/_build/html/_static/sphinxdoc.css | 345 - .../_build/html/_static/underscore-1.3.1.js | 999 -- .../doc/_build/html/_static/underscore.js | 31 - .../doc/_build/html/_static/up-pressed.png | Bin 345 -> 0 bytes PyBioMed/doc/_build/html/_static/up.png | Bin 345 -> 0 bytes .../doc/_build/html/_static/websupport.js | 808 -- PyBioMed/doc/_build/html/application.html | 886 -- PyBioMed/doc/_build/html/download.html | 158 - PyBioMed/doc/_build/html/genindex.html | 2803 ---- PyBioMed/doc/_build/html/index.html | 210 - PyBioMed/doc/_build/html/modules.html | 202 - PyBioMed/doc/_build/html/objects.inv | Bin 5230 -> 0 bytes PyBioMed/doc/_build/html/overview.html | 270 - PyBioMed/doc/_build/html/py-modindex.html | 439 - .../_build/html/reference/AAComposition.html | 194 - .../doc/_build/html/reference/AAIndex.html | 234 - .../_build/html/reference/AtomProperty.html | 154 - .../doc/_build/html/reference/AtomTypes.html | 154 - .../html/reference/Autocorrelation.html | 535 - PyBioMed/doc/_build/html/reference/CTD.html | 432 - .../_build/html/reference/ConjointTriad.html | 146 - .../doc/_build/html/reference/GetDNA.html | 193 - .../doc/_build/html/reference/GetProtein.html | 235 - .../html/reference/GetProteinFromUniprot.html | 156 - .../doc/_build/html/reference/GetSubSeq.html | 147 - .../doc/_build/html/reference/Getmol.html | 223 - .../doc/_build/html/reference/ProCheck.html | 142 - .../doc/_build/html/reference/PseudoAAC.html | 270 - .../html/reference/PubChemFingerprints.html | 235 - PyBioMed/doc/_build/html/reference/PyDNA.html | 135 - .../doc/_build/html/reference/PyDNAac.html | 270 - .../_build/html/reference/PyDNAacutil.html | 150 - .../doc/_build/html/reference/PyDNAnac.html | 220 - .../_build/html/reference/PyDNAnacutil.html | 269 - .../_build/html/reference/PyDNApsenac.html | 360 - .../html/reference/PyDNApsenacutil.html | 195 - .../doc/_build/html/reference/PyDNAutil.html | 304 - .../doc/_build/html/reference/PyGetMol.html | 131 - .../_build/html/reference/PyInteraction.html | 129 - .../html/reference/PyInteraction_module.html | 181 - .../doc/_build/html/reference/PyMolecule.html | 148 - .../doc/_build/html/reference/PyPreTools.html | 158 - .../doc/_build/html/reference/PyPretreat.html | 132 - .../_build/html/reference/PyPretreatDNA.html | 304 - .../_build/html/reference/PyPretreatMol.html | 289 - .../html/reference/PyPretreatMolutil.html | 116 - .../_build/html/reference/PyPretreatPro.html | 142 - .../doc/_build/html/reference/PyProtein.html | 141 - .../reference/PyProteinAAComposition.html | 194 - .../html/reference/PyProteinAAIndex.html | 234 - .../_build/html/reference/PyProteinclass.html | 369 - .../html/reference/QuasiSequenceOrder.html | 311 - .../doc/_build/html/reference/Scaffolds.html | 163 - PyBioMed/doc/_build/html/reference/basak.html | 278 - PyBioMed/doc/_build/html/reference/bcut.html | 164 - .../doc/_build/html/reference/cats2d.html | 212 - .../doc/_build/html/reference/charge.html | 473 - .../_build/html/reference/connectivity.html | 733 -- .../_build/html/reference/constitution.html | 490 - .../doc/_build/html/reference/estate.html | 195 - .../_build/html/reference/fingerprint.html | 416 - PyBioMed/doc/_build/html/reference/geary.html | 190 - .../_build/html/reference/ghosecrippen.html | 138 - PyBioMed/doc/_build/html/reference/kappa.html | 239 - PyBioMed/doc/_build/html/reference/moe.html | 245 - .../_build/html/reference/molproperty.html | 260 - PyBioMed/doc/_build/html/reference/moran.html | 191 - .../_build/html/reference/moreaubroto.html | 190 - PyBioMed/doc/_build/html/reference/test.html | 136 - PyBioMed/doc/_build/html/reference/test2.html | 130 - .../_build/html/reference/test_PyBioMed.html | 135 - .../doc/_build/html/reference/test_PyDNA.html | 135 - .../_build/html/reference/test_PyGetMol.html | 135 - .../html/reference/test_PyInteration.html | 135 - .../html/reference/test_PyMolecule.html | 135 - .../html/reference/test_PyPretreat.html | 135 - .../_build/html/reference/test_PyProtein.html | 135 - .../doc/_build/html/reference/topology.html | 495 - PyBioMed/doc/_build/html/search.html | 111 - PyBioMed/doc/_build/html/searchindex.js | 1 - PyBioMed/doc/_build/html/test.html | 147 - PyBioMed/doc/image/CCI.png | Bin 965428 -> 0 bytes PyBioMed/doc/image/CPI.png | Bin 1330003 -> 0 bytes PyBioMed/doc/image/DNA.png | Bin 32731 -> 0 bytes PyBioMed/doc/image/DPI.png | Bin 27864 -> 0 bytes PyBioMed/doc/image/brief.png | Bin 1869060 -> 0 bytes PyBioMed/doc/image/caco2.png | Bin 22980 -> 0 bytes PyBioMed/doc/image/logo.png | Bin 267364 -> 0 bytes PyBioMed/doc/image/logocbdd.png | Bin 136304 -> 0 bytes PyBioMed/doc/image/single_features.png | Bin 1188615 -> 0 bytes PyBioMed/doc/image/solubility.png | Bin 57716 -> 0 bytes PyBioMed/doc/image/subcell.png | Bin 29388 -> 0 bytes PyBioMed/doc/reference/AAComposition.rst | 7 - PyBioMed/doc/reference/AAIndex.rst | 7 - PyBioMed/doc/reference/AtomProperty.rst | 7 - PyBioMed/doc/reference/AtomTypes.rst | 7 - PyBioMed/doc/reference/Autocorrelation.rst | 7 - PyBioMed/doc/reference/CTD.rst | 7 - PyBioMed/doc/reference/ConjointTriad.rst | 7 - PyBioMed/doc/reference/GetDNA.rst | 7 - PyBioMed/doc/reference/GetProtein.rst | 7 - .../doc/reference/GetProteinFromUniprot.rst | 7 - PyBioMed/doc/reference/GetSubSeq.rst | 7 - PyBioMed/doc/reference/Getmol.rst | 7 - PyBioMed/doc/reference/ProCheck.rst | 7 - PyBioMed/doc/reference/PseudoAAC.rst | 7 - .../doc/reference/PubChemFingerprints.rst | 7 - PyBioMed/doc/reference/PyDNA.rst | 13 - PyBioMed/doc/reference/PyDNAac.rst | 7 - PyBioMed/doc/reference/PyDNAacutil.rst | 7 - PyBioMed/doc/reference/PyDNAnac.rst | 7 - PyBioMed/doc/reference/PyDNAnacutil.rst | 7 - PyBioMed/doc/reference/PyDNApsenac.rst | 7 - PyBioMed/doc/reference/PyDNApsenacutil.rst | 7 - PyBioMed/doc/reference/PyDNAutil.rst | 7 - PyBioMed/doc/reference/PyGetMol.rst | 9 - PyBioMed/doc/reference/PyInteraction.rst | 7 - .../doc/reference/PyInteraction_module.rst | 7 - PyBioMed/doc/reference/PyMolecule.rst | 26 - PyBioMed/doc/reference/PyPreTools.rst | 7 - PyBioMed/doc/reference/PyPretreat.rst | 10 - PyBioMed/doc/reference/PyPretreatDNA.rst | 7 - PyBioMed/doc/reference/PyPretreatMol.rst | 7 - PyBioMed/doc/reference/PyPretreatMolutil.rst | 7 - PyBioMed/doc/reference/PyPretreatPro.rst | 7 - PyBioMed/doc/reference/PyProtein.rst | 19 - .../doc/reference/PyProteinAAComposition.rst | 7 - PyBioMed/doc/reference/PyProteinAAIndex.rst | 7 - PyBioMed/doc/reference/PyProteinclass.rst | 7 - PyBioMed/doc/reference/QuasiSequenceOrder.rst | 7 - PyBioMed/doc/reference/Scaffolds.rst | 7 - PyBioMed/doc/reference/basak.rst | 7 - PyBioMed/doc/reference/bcut.rst | 7 - PyBioMed/doc/reference/cats2d.rst | 7 - PyBioMed/doc/reference/charge.rst | 7 - PyBioMed/doc/reference/connectivity.rst | 7 - PyBioMed/doc/reference/constitution.rst | 7 - PyBioMed/doc/reference/estate.rst | 7 - PyBioMed/doc/reference/fingerprint.rst | 7 - PyBioMed/doc/reference/geary.rst | 7 - PyBioMed/doc/reference/ghosecrippen.rst | 7 - PyBioMed/doc/reference/kappa.rst | 7 - PyBioMed/doc/reference/moe.rst | 7 - PyBioMed/doc/reference/molproperty.rst | 7 - PyBioMed/doc/reference/moran.rst | 7 - PyBioMed/doc/reference/moreaubroto.rst | 7 - PyBioMed/doc/reference/test.rst | 17 - PyBioMed/doc/reference/test2.rst | 7 - PyBioMed/doc/reference/test_PyBioMed.rst | 7 - PyBioMed/doc/reference/test_PyDNA.rst | 7 - PyBioMed/doc/reference/test_PyGetMol.rst | 7 - PyBioMed/doc/reference/test_PyInteration.rst | 7 - PyBioMed/doc/reference/test_PyMolecule.rst | 7 - PyBioMed/doc/reference/test_PyPretreat.rst | 7 - PyBioMed/doc/reference/test_PyProtein.rst | 7 - PyBioMed/doc/reference/topology.rst | 7 - PyBioMed/download/PyBioMed Chem.pdf | Bin 1164067 -> 0 bytes PyBioMed/download/PyBioMed DNA.pdf | Bin 1411004 -> 0 bytes PyBioMed/download/PyBioMed Documentation.pdf | Bin 5108694 -> 0 bytes PyBioMed/download/PyBioMed Interaction.pdf | Bin 164758 -> 0 bytes PyBioMed/download/PyBioMed Protein.pdf | Bin 780657 -> 0 bytes .../download/PyBioMedDocumentationHTML.zip | Bin 6541760 -> 0 bytes PyBioMed/download/PyBioMed_package_zip | 2 - 399 files changed, 1420 insertions(+), 72903 deletions(-) create mode 100644 PyBioMed/PyMolecule/connectivity_old.py delete mode 100644 PyBioMed/aaindex1 delete mode 100644 PyBioMed/doc/_build/doctrees/User_guide.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/application.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/download.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/environment.pickle delete mode 100644 PyBioMed/doc/_build/doctrees/index.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/modules.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/overview.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/AAComposition.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/AAIndex.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/AtomProperty.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/AtomTypes.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/Autocorrelation.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/CTD.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/ConjointTriad.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/GetDNA.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/GetProtein.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/GetProteinFromUniprot.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/GetSubSeq.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/Getmol.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/ProCheck.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PseudoAAC.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PubChemFingerprints.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNA.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNAac.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNAacutil.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNAnac.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNAnacutil.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNApsenac.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNApsenacutil.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyDNAutil.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyGetMol.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyInteraction.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyInteraction_module.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyMolecule.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyPreTools.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyPretreat.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyPretreatDNA.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyPretreatMol.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyPretreatMolutil.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyPretreatPro.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyProtein.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyProteinAAComposition.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyProteinAAIndex.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/PyProteinclass.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/QuasiSequenceOrder.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/Scaffolds.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/basak.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/bcut.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/cats2d.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/charge.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/connectivity.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/constitution.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/estate.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/fingerprint.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/geary.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/ghosecrippen.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/kappa.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/moe.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/molproperty.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/moran.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/moreaubroto.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test2.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test_PyBioMed.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test_PyDNA.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test_PyGetMol.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test_PyInteration.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test_PyMolecule.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test_PyPretreat.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/test_PyProtein.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/reference/topology.doctree delete mode 100644 PyBioMed/doc/_build/doctrees/test.doctree delete mode 100644 PyBioMed/doc/_build/html/.buildinfo delete mode 100644 PyBioMed/doc/_build/html/User_guide.html delete mode 100644 PyBioMed/doc/_build/html/_images/CCI.png delete mode 100644 PyBioMed/doc/_build/html/_images/CPI.png delete mode 100644 PyBioMed/doc/_build/html/_images/DNA.png delete mode 100644 PyBioMed/doc/_build/html/_images/DPI.png delete mode 100644 PyBioMed/doc/_build/html/_images/brief.png delete mode 100644 PyBioMed/doc/_build/html/_images/caco2.png delete mode 100644 PyBioMed/doc/_build/html/_images/logocbdd.png delete mode 100644 PyBioMed/doc/_build/html/_images/single_features.png delete mode 100644 PyBioMed/doc/_build/html/_images/solubility.png delete mode 100644 PyBioMed/doc/_build/html/_images/subcell.png delete mode 100644 PyBioMed/doc/_build/html/_modules/AAComposition.html delete mode 100644 PyBioMed/doc/_build/html/_modules/AAIndex.html delete mode 100644 PyBioMed/doc/_build/html/_modules/AtomProperty.html delete mode 100644 PyBioMed/doc/_build/html/_modules/AtomTypes.html delete mode 100644 PyBioMed/doc/_build/html/_modules/Autocorrelation.html delete mode 100644 PyBioMed/doc/_build/html/_modules/CTD.html delete mode 100644 PyBioMed/doc/_build/html/_modules/ConjointTriad.html delete mode 100644 PyBioMed/doc/_build/html/_modules/GetDNA.html delete mode 100644 PyBioMed/doc/_build/html/_modules/GetProtein.html delete mode 100644 PyBioMed/doc/_build/html/_modules/GetProteinFromUniprot.html delete mode 100644 PyBioMed/doc/_build/html/_modules/GetSubSeq.html delete mode 100644 PyBioMed/doc/_build/html/_modules/Getmol.html delete mode 100644 PyBioMed/doc/_build/html/_modules/ProCheck.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PseudoAAC.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PubChemFingerprints.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyDNAac.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyDNAacutil.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyDNAnac.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyDNAnacutil.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyDNApsenac.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyDNApsenacutil.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyDNAutil.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyInteraction.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyPreTools.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyPretreatDNA.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyPretreatMol.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyPretreatPro.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyProtein.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyProteinAAComposition.html delete mode 100644 PyBioMed/doc/_build/html/_modules/PyProteinAAIndex.html delete mode 100644 PyBioMed/doc/_build/html/_modules/QuasiSequenceOrder.html delete mode 100644 PyBioMed/doc/_build/html/_modules/Scaffolds.html delete mode 100644 PyBioMed/doc/_build/html/_modules/basak.html delete mode 100644 PyBioMed/doc/_build/html/_modules/bcut.html delete mode 100644 PyBioMed/doc/_build/html/_modules/cats2d.html delete mode 100644 PyBioMed/doc/_build/html/_modules/charge.html delete mode 100644 PyBioMed/doc/_build/html/_modules/connectivity.html delete mode 100644 PyBioMed/doc/_build/html/_modules/constitution.html delete mode 100644 PyBioMed/doc/_build/html/_modules/estate.html delete mode 100644 PyBioMed/doc/_build/html/_modules/fingerprint.html delete mode 100644 PyBioMed/doc/_build/html/_modules/geary.html delete mode 100644 PyBioMed/doc/_build/html/_modules/ghosecrippen.html delete mode 100644 PyBioMed/doc/_build/html/_modules/index.html delete mode 100644 PyBioMed/doc/_build/html/_modules/kappa.html delete mode 100644 PyBioMed/doc/_build/html/_modules/moe.html delete mode 100644 PyBioMed/doc/_build/html/_modules/molproperty.html delete mode 100644 PyBioMed/doc/_build/html/_modules/moran.html delete mode 100644 PyBioMed/doc/_build/html/_modules/moreaubroto.html delete mode 100644 PyBioMed/doc/_build/html/_modules/test_PyBioMed.html delete mode 100644 PyBioMed/doc/_build/html/_modules/test_PyDNA.html delete mode 100644 PyBioMed/doc/_build/html/_modules/test_PyGetMol.html delete mode 100644 PyBioMed/doc/_build/html/_modules/test_PyInteration.html delete mode 100644 PyBioMed/doc/_build/html/_modules/test_PyMolecule.html delete mode 100644 PyBioMed/doc/_build/html/_modules/test_PyPretreat.html delete mode 100644 PyBioMed/doc/_build/html/_modules/test_PyProtein.html delete mode 100644 PyBioMed/doc/_build/html/_modules/topology.html delete mode 100644 PyBioMed/doc/_build/html/_sources/User_guide.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/application.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/download.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/index.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/modules.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/overview.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/AAComposition.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/AAIndex.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/AtomProperty.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/AtomTypes.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/Autocorrelation.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/CTD.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/ConjointTriad.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/GetDNA.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/GetProtein.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/GetProteinFromUniprot.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/GetSubSeq.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/Getmol.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/ProCheck.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PseudoAAC.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PubChemFingerprints.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNA.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNAac.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNAacutil.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNAnac.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNAnacutil.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNApsenac.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNApsenacutil.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyDNAutil.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyGetMol.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyInteraction.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyInteraction_module.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyMolecule.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyPreTools.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyPretreat.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyPretreatDNA.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyPretreatMol.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyPretreatMolutil.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyPretreatPro.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyProtein.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyProteinAAComposition.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyProteinAAIndex.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/PyProteinclass.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/QuasiSequenceOrder.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/Scaffolds.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/basak.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/bcut.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/cats2d.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/charge.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/connectivity.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/constitution.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/estate.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/fingerprint.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/geary.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/ghosecrippen.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/kappa.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/moe.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/molproperty.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/moran.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/moreaubroto.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test2.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test_PyBioMed.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test_PyDNA.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test_PyGetMol.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test_PyInteration.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test_PyMolecule.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test_PyPretreat.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/test_PyProtein.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/reference/topology.txt delete mode 100644 PyBioMed/doc/_build/html/_sources/test.txt delete mode 100644 PyBioMed/doc/_build/html/_static/ajax-loader.gif delete mode 100644 PyBioMed/doc/_build/html/_static/basic.css delete mode 100644 PyBioMed/doc/_build/html/_static/comment-bright.png delete mode 100644 PyBioMed/doc/_build/html/_static/comment-close.png delete mode 100644 PyBioMed/doc/_build/html/_static/comment.png delete mode 100644 PyBioMed/doc/_build/html/_static/contents.png delete mode 100644 PyBioMed/doc/_build/html/_static/doctools.js delete mode 100644 PyBioMed/doc/_build/html/_static/down-pressed.png delete mode 100644 PyBioMed/doc/_build/html/_static/down.png delete mode 100644 PyBioMed/doc/_build/html/_static/file.png delete mode 100644 PyBioMed/doc/_build/html/_static/jquery-1.11.1.js delete mode 100644 PyBioMed/doc/_build/html/_static/jquery.js delete mode 100644 PyBioMed/doc/_build/html/_static/logo.png delete mode 100644 PyBioMed/doc/_build/html/_static/minus.png delete mode 100644 PyBioMed/doc/_build/html/_static/navigation.png delete mode 100644 PyBioMed/doc/_build/html/_static/plus.png delete mode 100644 PyBioMed/doc/_build/html/_static/pygments.css delete mode 100644 PyBioMed/doc/_build/html/_static/searchtools.js delete mode 100644 PyBioMed/doc/_build/html/_static/sphinxdoc.css delete mode 100644 PyBioMed/doc/_build/html/_static/underscore-1.3.1.js delete mode 100644 PyBioMed/doc/_build/html/_static/underscore.js delete mode 100644 PyBioMed/doc/_build/html/_static/up-pressed.png delete mode 100644 PyBioMed/doc/_build/html/_static/up.png delete mode 100644 PyBioMed/doc/_build/html/_static/websupport.js delete mode 100644 PyBioMed/doc/_build/html/application.html delete mode 100644 PyBioMed/doc/_build/html/download.html delete mode 100644 PyBioMed/doc/_build/html/genindex.html delete mode 100644 PyBioMed/doc/_build/html/index.html delete mode 100644 PyBioMed/doc/_build/html/modules.html delete mode 100644 PyBioMed/doc/_build/html/objects.inv delete mode 100644 PyBioMed/doc/_build/html/overview.html delete mode 100644 PyBioMed/doc/_build/html/py-modindex.html delete mode 100644 PyBioMed/doc/_build/html/reference/AAComposition.html delete mode 100644 PyBioMed/doc/_build/html/reference/AAIndex.html delete mode 100644 PyBioMed/doc/_build/html/reference/AtomProperty.html delete mode 100644 PyBioMed/doc/_build/html/reference/AtomTypes.html delete mode 100644 PyBioMed/doc/_build/html/reference/Autocorrelation.html delete mode 100644 PyBioMed/doc/_build/html/reference/CTD.html delete mode 100644 PyBioMed/doc/_build/html/reference/ConjointTriad.html delete mode 100644 PyBioMed/doc/_build/html/reference/GetDNA.html delete mode 100644 PyBioMed/doc/_build/html/reference/GetProtein.html delete mode 100644 PyBioMed/doc/_build/html/reference/GetProteinFromUniprot.html delete mode 100644 PyBioMed/doc/_build/html/reference/GetSubSeq.html delete mode 100644 PyBioMed/doc/_build/html/reference/Getmol.html delete mode 100644 PyBioMed/doc/_build/html/reference/ProCheck.html delete mode 100644 PyBioMed/doc/_build/html/reference/PseudoAAC.html delete mode 100644 PyBioMed/doc/_build/html/reference/PubChemFingerprints.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNA.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNAac.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNAacutil.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNAnac.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNAnacutil.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNApsenac.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNApsenacutil.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyDNAutil.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyGetMol.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyInteraction.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyInteraction_module.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyMolecule.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyPreTools.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyPretreat.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyPretreatDNA.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyPretreatMol.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyPretreatMolutil.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyPretreatPro.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyProtein.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyProteinAAComposition.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyProteinAAIndex.html delete mode 100644 PyBioMed/doc/_build/html/reference/PyProteinclass.html delete mode 100644 PyBioMed/doc/_build/html/reference/QuasiSequenceOrder.html delete mode 100644 PyBioMed/doc/_build/html/reference/Scaffolds.html delete mode 100644 PyBioMed/doc/_build/html/reference/basak.html delete mode 100644 PyBioMed/doc/_build/html/reference/bcut.html delete mode 100644 PyBioMed/doc/_build/html/reference/cats2d.html delete mode 100644 PyBioMed/doc/_build/html/reference/charge.html delete mode 100644 PyBioMed/doc/_build/html/reference/connectivity.html delete mode 100644 PyBioMed/doc/_build/html/reference/constitution.html delete mode 100644 PyBioMed/doc/_build/html/reference/estate.html delete mode 100644 PyBioMed/doc/_build/html/reference/fingerprint.html delete mode 100644 PyBioMed/doc/_build/html/reference/geary.html delete mode 100644 PyBioMed/doc/_build/html/reference/ghosecrippen.html delete mode 100644 PyBioMed/doc/_build/html/reference/kappa.html delete mode 100644 PyBioMed/doc/_build/html/reference/moe.html delete mode 100644 PyBioMed/doc/_build/html/reference/molproperty.html delete mode 100644 PyBioMed/doc/_build/html/reference/moran.html delete mode 100644 PyBioMed/doc/_build/html/reference/moreaubroto.html delete mode 100644 PyBioMed/doc/_build/html/reference/test.html delete mode 100644 PyBioMed/doc/_build/html/reference/test2.html delete mode 100644 PyBioMed/doc/_build/html/reference/test_PyBioMed.html delete mode 100644 PyBioMed/doc/_build/html/reference/test_PyDNA.html delete mode 100644 PyBioMed/doc/_build/html/reference/test_PyGetMol.html delete mode 100644 PyBioMed/doc/_build/html/reference/test_PyInteration.html delete mode 100644 PyBioMed/doc/_build/html/reference/test_PyMolecule.html delete mode 100644 PyBioMed/doc/_build/html/reference/test_PyPretreat.html delete mode 100644 PyBioMed/doc/_build/html/reference/test_PyProtein.html delete mode 100644 PyBioMed/doc/_build/html/reference/topology.html delete mode 100644 PyBioMed/doc/_build/html/search.html delete mode 100644 PyBioMed/doc/_build/html/searchindex.js delete mode 100644 PyBioMed/doc/_build/html/test.html delete mode 100644 PyBioMed/doc/image/CCI.png delete mode 100644 PyBioMed/doc/image/CPI.png delete mode 100644 PyBioMed/doc/image/DNA.png delete mode 100644 PyBioMed/doc/image/DPI.png delete mode 100644 PyBioMed/doc/image/brief.png delete mode 100644 PyBioMed/doc/image/caco2.png delete mode 100644 PyBioMed/doc/image/logo.png delete mode 100644 PyBioMed/doc/image/logocbdd.png delete mode 100644 PyBioMed/doc/image/single_features.png delete mode 100644 PyBioMed/doc/image/solubility.png delete mode 100644 PyBioMed/doc/image/subcell.png delete mode 100644 PyBioMed/doc/reference/AAComposition.rst delete mode 100644 PyBioMed/doc/reference/AAIndex.rst delete mode 100644 PyBioMed/doc/reference/AtomProperty.rst delete mode 100644 PyBioMed/doc/reference/AtomTypes.rst delete mode 100644 PyBioMed/doc/reference/Autocorrelation.rst delete mode 100644 PyBioMed/doc/reference/CTD.rst delete mode 100644 PyBioMed/doc/reference/ConjointTriad.rst delete mode 100644 PyBioMed/doc/reference/GetDNA.rst delete mode 100644 PyBioMed/doc/reference/GetProtein.rst delete mode 100644 PyBioMed/doc/reference/GetProteinFromUniprot.rst delete mode 100644 PyBioMed/doc/reference/GetSubSeq.rst delete mode 100644 PyBioMed/doc/reference/Getmol.rst delete mode 100644 PyBioMed/doc/reference/ProCheck.rst delete mode 100644 PyBioMed/doc/reference/PseudoAAC.rst delete mode 100644 PyBioMed/doc/reference/PubChemFingerprints.rst delete mode 100644 PyBioMed/doc/reference/PyDNA.rst delete mode 100644 PyBioMed/doc/reference/PyDNAac.rst delete mode 100644 PyBioMed/doc/reference/PyDNAacutil.rst delete mode 100644 PyBioMed/doc/reference/PyDNAnac.rst delete mode 100644 PyBioMed/doc/reference/PyDNAnacutil.rst delete mode 100644 PyBioMed/doc/reference/PyDNApsenac.rst delete mode 100644 PyBioMed/doc/reference/PyDNApsenacutil.rst delete mode 100644 PyBioMed/doc/reference/PyDNAutil.rst delete mode 100644 PyBioMed/doc/reference/PyGetMol.rst delete mode 100644 PyBioMed/doc/reference/PyInteraction.rst delete mode 100644 PyBioMed/doc/reference/PyInteraction_module.rst delete mode 100644 PyBioMed/doc/reference/PyMolecule.rst delete mode 100644 PyBioMed/doc/reference/PyPreTools.rst delete mode 100644 PyBioMed/doc/reference/PyPretreat.rst delete mode 100644 PyBioMed/doc/reference/PyPretreatDNA.rst delete mode 100644 PyBioMed/doc/reference/PyPretreatMol.rst delete mode 100644 PyBioMed/doc/reference/PyPretreatMolutil.rst delete mode 100644 PyBioMed/doc/reference/PyPretreatPro.rst delete mode 100644 PyBioMed/doc/reference/PyProtein.rst delete mode 100644 PyBioMed/doc/reference/PyProteinAAComposition.rst delete mode 100644 PyBioMed/doc/reference/PyProteinAAIndex.rst delete mode 100644 PyBioMed/doc/reference/PyProteinclass.rst delete mode 100644 PyBioMed/doc/reference/QuasiSequenceOrder.rst delete mode 100644 PyBioMed/doc/reference/Scaffolds.rst delete mode 100644 PyBioMed/doc/reference/basak.rst delete mode 100644 PyBioMed/doc/reference/bcut.rst delete mode 100644 PyBioMed/doc/reference/cats2d.rst delete mode 100644 PyBioMed/doc/reference/charge.rst delete mode 100644 PyBioMed/doc/reference/connectivity.rst delete mode 100644 PyBioMed/doc/reference/constitution.rst delete mode 100644 PyBioMed/doc/reference/estate.rst delete mode 100644 PyBioMed/doc/reference/fingerprint.rst delete mode 100644 PyBioMed/doc/reference/geary.rst delete mode 100644 PyBioMed/doc/reference/ghosecrippen.rst delete mode 100644 PyBioMed/doc/reference/kappa.rst delete mode 100644 PyBioMed/doc/reference/moe.rst delete mode 100644 PyBioMed/doc/reference/molproperty.rst delete mode 100644 PyBioMed/doc/reference/moran.rst delete mode 100644 PyBioMed/doc/reference/moreaubroto.rst delete mode 100644 PyBioMed/doc/reference/test.rst delete mode 100644 PyBioMed/doc/reference/test2.rst delete mode 100644 PyBioMed/doc/reference/test_PyBioMed.rst delete mode 100644 PyBioMed/doc/reference/test_PyDNA.rst delete mode 100644 PyBioMed/doc/reference/test_PyGetMol.rst delete mode 100644 PyBioMed/doc/reference/test_PyInteration.rst delete mode 100644 PyBioMed/doc/reference/test_PyMolecule.rst delete mode 100644 PyBioMed/doc/reference/test_PyPretreat.rst delete mode 100644 PyBioMed/doc/reference/test_PyProtein.rst delete mode 100644 PyBioMed/doc/reference/topology.rst delete mode 100644 PyBioMed/download/PyBioMed Chem.pdf delete mode 100644 PyBioMed/download/PyBioMed DNA.pdf delete mode 100644 PyBioMed/download/PyBioMed Documentation.pdf delete mode 100644 PyBioMed/download/PyBioMed Interaction.pdf delete mode 100644 PyBioMed/download/PyBioMed Protein.pdf delete mode 100644 PyBioMed/download/PyBioMedDocumentationHTML.zip delete mode 100644 PyBioMed/download/PyBioMed_package_zip diff --git a/PyBioMed/PyGetMol/Getmol.py b/PyBioMed/PyGetMol/Getmol.py index c66b335..94a00ac 100644 --- a/PyBioMed/PyGetMol/Getmol.py +++ b/PyBioMed/PyGetMol/Getmol.py @@ -19,14 +19,15 @@ try: # Python 3 - from urllib.request import urlopen + from urllib.request import urlopen, Request except ImportError: # Python 2 - from urllib2 import urlopen + from urllib2 import urlopen, Request # Core Library modules import os import re import string +import pybel # Third party modules from rdkit import Chem @@ -134,31 +135,45 @@ def ReadMolFromMol(filename=""): ############################################################################# - def GetMolFromCAS(casid=""): """ - Downloading the molecules from http://www.chemnet.com/cas/ by CAS ID (casid). - if you want to use this function, you must be install pybel. + Download molecules from http://www.chemnet.com/cas/ using CAS ID (casid). + Requires OpenBabel's pybel module. """ - from openbabel import pybel - casid = casid.strip() - localfile = urlopen( - "http://www.chemnet.com/cas/supplier.cgi?terms=" + casid + "&l=&exact=dict" - ) - temp = localfile.readlines() + + # Download page from chemnet + link = f"http://www.chemnet.com/cas/supplier.cgi?terms={casid}&l=&exact=dict" + localfile = urlopen(link) + + # Read and decode the content + temp = [line.decode('utf-8') for line in localfile.readlines()] + + # Close the connection + localfile.close() + + # Search for the InChI string in the page content + res = None for i in temp: - if re.findall("InChI=", i) == ["InChI="]: - k = i.split(' ') + if "InChI=" in i: # Check if the line contains "InChI=" + k = i.split('') kk = k[1].split("\r\n") - if kk[0][0:5] == "InChI": - res = kk[0] - else: - res = "None" - localfile.close() - mol = pybel.readstring("inchi", res.strip()) - smile = mol.write("smi") - return smile.strip() + if kk[0].startswith("InChI"): + res = kk[0].strip() + break + + # Error handling if no InChI is found + if res is None: + raise ValueError(f"InChI string not found for CAS ID {casid}.") + + # Convert the InChI string to a molecule using pybel + #mol = pybel.readstring("inchi", res) + mol = pybel.Molecule(res) # Use the Molecule constructor directly + + # Convert the molecule to SMILES format + smile = mol.write("smi").strip() + + return smile def GetMolFromEBI(): @@ -193,30 +208,71 @@ def GetMolFromDrugbank(dbid=""): Downloading the molecules from http://www.drugbank.ca/ by dbid (dbid). """ dbid = dbid.strip() - - localfile = urlopen("http://www.drugbank.ca/drugs/" + dbid + ".sdf") - temp = localfile.readlines() - f = file("temp.sdf", "w") - f.writelines(temp) + link = "http://www.drugbank.ca/drugs/" + dbid + ".sdf" + + # Create a request with headers + req = Request(link, headers={'User-Agent': 'Mozilla/5.0'}) + localfile = urlopen(req) + lines = localfile.readlines() + #print(lines) + # Read and decode the contents of the file + temp = [line.decode('utf-8') for line in lines] # Decode each line + #print(temp) + with open("temp.sdf", "w") as f: + f.write("".join(temp)) # Join the list into a single string and write it to the file + + # Close the files f.close() localfile.close() + + # Check if the file was written successfully + if os.path.getsize("temp.sdf") == 0: + raise ValueError("The downloaded SDF file is empty or corrupted.") + + # Load the molecule using RDKit m = Chem.MolFromMolFile("temp.sdf") - os.remove("temp.sdf") + + #print(f"extracted data: {m}") + + # Check if the molecule was successfully loaded + if m is None: + raise ValueError("RDKit could not load the molecule from the SDF file.") + + # Convert the molecule to SMILES temp = Chem.MolToSmiles(m, isomericSmiles=True) + + # Remove the temporary SDF file + os.remove("temp.sdf") + return temp - def GetMolFromKegg(kid=""): """ Downloading the molecules from http://www.genome.jp/ by kegg id (kid). """ ID = str(kid) - localfile = urlopen("http://www.genome.jp/dbget-bin/www_bget?-f+m+drug+" + ID) - temp = localfile.readlines() - f = file("temp.mol", "w") - f.writelines(temp) + link = urlopen("http://www.genome.jp/dbget-bin/www_bget?-f+m+drug+" + ID) + #temp = localfile.readlines() + #f = open("temp.mol", "w") + #f.writelines(temp) + #f.close() + #localfile.close() + # Create a request with headers + + req = Request(link, headers={'User-Agent': 'Mozilla/5.0'}) + localfile = urlopen(req) + lines = localfile.readlines() + #print(lines) + # Read and decode the contents of the file + temp = [line.decode('utf-8') for line in lines] # Decode each line + #print(temp) + with open("temp.sdf", "w") as f: + f.write("".join(temp)) # Join the list into a single string and write it to the file + + # Close the files f.close() localfile.close() + m = Chem.MolFromMolFile("temp.mol") os.remove("temp.mol") temp = Chem.MolToSmiles(m, isomericSmiles=True) diff --git a/PyBioMed/PyMolecule/connectivity.py b/PyBioMed/PyMolecule/connectivity.py index c288b19..895f6f8 100644 --- a/PyBioMed/PyMolecule/connectivity.py +++ b/PyBioMed/PyMolecule/connectivity.py @@ -22,6 +22,8 @@ ############################################################################## """ # Third party modules +import numpy as np +# -*- coding: utf-8 -*- import numpy from rdkit import Chem from rdkit.Chem import rdchem @@ -303,7 +305,7 @@ def CalculateChi10p(mol): """ return _CalculateChinp(mol, NumPath=10) - +''' def CalculateChi3c(mol): """ ################################################################# @@ -333,8 +335,39 @@ def CalculateChi3c(mol): deltas1 = numpy.array(deltas, numpy.float) accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) return accum +''' +def CalculateChi3c(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for cluster + + ---->Chi3c + + Usage: + + result=CalculateChi3c(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)~*") + HPatt = mol.GetSubstructMatches(patt) + for cluster in HPatt: + deltas = [mol.GetAtomWithIdx(x).GetDegree() for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + # Change numpy.float to float + deltas1 = numpy.array(deltas, float) # or use numpy.float64 if needed + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum +'''''' def CalculateChi4c(mol): """ ################################################################# @@ -365,7 +398,18 @@ def CalculateChi4c(mol): accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) return accum +def CalculateChi4c(mol): + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + # Assuming similar logic as in CalculateChi3c + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, float) # Change this line + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum +''' def CalculateChi4pc(mol): """ ################################################################# @@ -396,7 +440,16 @@ def CalculateChi4pc(mol): deltas1 = numpy.array(deltas, numpy.float) accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) return accum - +''' +def CalculateChi4pc(mol): + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, float) # Change this line + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum def CalculateDeltaChi3c4pc(mol): """ @@ -924,7 +977,39 @@ def _AtomHKDeltas(atom, skipHs=0): res.append(0.0) return res +def CalculateChiv3c(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for cluster + + ---->Chiv3c + + Usage: + result = CalculateChiv3c(mol) + + Input: + mol is a molecule object. + Output: + result is a numeric value + ################################################################# + """ + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)~*") + HPatt = mol.GetSubstructMatches(patt) + + for cluster in HPatt: + deltas = [_AtomHKDeltas(mol.GetAtomWithIdx(x)) for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas: + # Convert deltas to a NumPy array of type float + deltas1 = numpy.array(deltas, float) + accum += 1.0 / np.sqrt(deltas1.prod()) + + return accum +''' def CalculateChiv3c(mol): """ ################################################################# @@ -952,9 +1037,10 @@ def CalculateChiv3c(mol): deltas.remove(0) if deltas != []: deltas1 = numpy.array(deltas, numpy.float) + deltas1 = numpy.array(deltas, float) accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) return accum - +''' def CalculateChiv4c(mol): """ @@ -982,7 +1068,7 @@ def CalculateChiv4c(mol): while 0 in deltas: deltas.remove(0) if deltas != []: - deltas1 = numpy.array(deltas, numpy.float) + deltas1 = numpy.array(deltas, numpy.float64) accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) return accum @@ -1015,7 +1101,7 @@ def CalculateChiv4pc(mol): while 0 in deltas: deltas.remove(0) if deltas != []: - deltas1 = numpy.array(deltas, numpy.float) + deltas1 = numpy.array(deltas, float) accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) return accum diff --git a/PyBioMed/PyMolecule/connectivity_old.py b/PyBioMed/PyMolecule/connectivity_old.py new file mode 100644 index 0000000..c288b19 --- /dev/null +++ b/PyBioMed/PyMolecule/connectivity_old.py @@ -0,0 +1,1227 @@ +# -*- coding: utf-8 -*- +# Copyright (c) 2016-2017, Zhijiang Yao, Jie Dong and Dongsheng Cao +# All rights reserved. +# This file is part of the PyBioMed. +# The contents are covered by the terms of the BSD license +# which is included in the file license.txt, found at the root +# of the PyBioMed source tree. +""" +############################################################################## +The calculation of molecular connectivity indices based on its topological + +structure. You can get 44 molecular connectivity descriptors. You can freely + +use and distribute it. If you hava any problem, you could contact with us timely! + +Authors: Zhijiang Yao and Dongsheng Cao. + +Date: 2016.06.04 + +Email: gadsby@163.com and oriental-cds@163.com + +############################################################################## +""" +# Third party modules +import numpy +from rdkit import Chem +from rdkit.Chem import rdchem + +periodicTable = rdchem.GetPeriodicTable() + +Version = 1.0 +################################################################ + + +def CalculateChi0(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 0 + + ---->Chi0 + + Usage: + + result=CalculateChi0(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + deltas = [x.GetDegree() for x in mol.GetAtoms()] + while 0 in deltas: + deltas.remove(0) + deltas = numpy.array(deltas, "d") + res = sum(numpy.sqrt(1.0 / deltas)) + return res + + +def CalculateChi1(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 1 + + (i.e.,Radich) + + ---->Chi1 + + Usage: + + result=CalculateChi1(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + cc = [ + x.GetBeginAtom().GetDegree() * x.GetEndAtom().GetDegree() + for x in mol.GetBonds() + ] + while 0 in cc: + cc.remove(0) + cc = numpy.array(cc, "d") + res = sum(numpy.sqrt(1.0 / cc)) + return res + + +def CalculateMeanRandic(mol): + """ + ################################################################# + Calculation of mean chi1 (Randic) connectivity index. + + ---->mchi1 + + Usage: + + result=CalculateMeanRandic(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + cc = [ + x.GetBeginAtom().GetDegree() * x.GetEndAtom().GetDegree() + for x in mol.GetBonds() + ] + while 0 in cc: + cc.remove(0) + cc = numpy.array(cc, "d") + res = numpy.mean(numpy.sqrt(1.0 / cc)) + + return res + + +def _CalculateChinp(mol, NumPath=2): + + """ + ################################################################# + **Internal used only** + + Calculation of molecular connectivity chi index for path order 2 + ################################################################# + """ + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + for path in Chem.FindAllPathsOfLengthN(mol, NumPath + 1, useBonds=0): + cAccum = 1.0 + for idx in path: + cAccum *= deltas[idx] + if cAccum: + accum += 1.0 / numpy.sqrt(cAccum) + return accum + + +def CalculateChi2(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 2 + + ---->Chi2 + + Usage: + + result=CalculateChi2(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=2) + + +def CalculateChi3p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 3 + + ---->Chi3 + + Usage: + + result=CalculateChi3p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=3) + + +def CalculateChi4p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 4 + + ---->Chi4 + + Usage: + + result=CalculateChi4p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=4) + + +def CalculateChi5p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 5 + + ---->Chi5 + + Usage: + + result=CalculateChi5p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=5) + + +def CalculateChi6p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 6 + + ---->Chi6 + + Usage: + + result=CalculateChi6p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=6) + + +def CalculateChi7p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 7 + + ---->Chi7 + + Usage: + + result=CalculateChi7p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=7) + + +def CalculateChi8p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 8 + + ---->Chi8 + + Usage: + + result=CalculateChi8p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=8) + + +def CalculateChi9p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 9 + + ---->Chi9 + + Usage: + + result=CalculateChi9p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=9) + + +def CalculateChi10p(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path order 10 + + ---->Chi10 + + Usage: + + result=CalculateChi10p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinp(mol, NumPath=10) + + +def CalculateChi3c(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for cluster + + ---->Chi3c + + Usage: + + result=CalculateChi3c(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)~*") + HPatt = mol.GetSubstructMatches(patt) + for cluster in HPatt: + deltas = [mol.GetAtomWithIdx(x).GetDegree() for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, numpy.float) + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum + + +def CalculateChi4c(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for cluster + + ---->Chi4c + + Usage: + + result=CalculateChi4c(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)(~*)~*") + HPatt = mol.GetSubstructMatches(patt) + for cluster in HPatt: + deltas = [mol.GetAtomWithIdx(x).GetDegree() for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, numpy.float) + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum + + +def CalculateChi4pc(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for path/cluster + + ---->Chi4pc + + Usage: + + result=CalculateChi4pc(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)~*~*") + HPatt = mol.GetSubstructMatches(patt) + # print HPatt + for cluster in HPatt: + deltas = [mol.GetAtomWithIdx(x).GetDegree() for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, numpy.float) + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum + + +def CalculateDeltaChi3c4pc(mol): + """ + ################################################################# + Calculation of the difference between chi3c and chi4pc + + ---->knotp + + Usage: + + result=CalculateDeltaChi3c4pc(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return abs(CalculateChi3c(mol) - CalculateChi4pc(mol)) + + +def _CalculateChinch(mol, NumCycle=3): + + """ + ################################################################# + **Internal used only** + + Calculation of molecular connectivity chi index for cycles of n + ################################################################# + """ + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + for tup in mol.GetRingInfo().AtomRings(): + cAccum = 1.0 + if len(tup) == NumCycle: + for idx in tup: + cAccum *= deltas[idx] + if cAccum: + accum += 1.0 / numpy.sqrt(cAccum) + + return accum + + +def CalculateChi3ch(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for cycles of 3 + + ---->Chi3ch + + Usage: + + result=CalculateChi3ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChinch(mol, NumCycle=3) + + +def CalculateChi4ch(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for cycles of 4 + + ---->Chi4ch + + Usage: + + result=CalculateChi4ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinch(mol, NumCycle=4) + + +def CalculateChi5ch(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for cycles of 5 + + ---->Chi5ch + + Usage: + + result=CalculateChi5ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChinch(mol, NumCycle=5) + + +def CalculateChi6ch(mol): + """ + ################################################################# + Calculation of molecular connectivity chi index for cycles of 6 + + ---->Chi6ch + + Usage: + + result=CalculateChi6ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChinch(mol, NumCycle=6) + + +def _HKDeltas(mol, skipHs=1): + """ + ################################################################# + *Internal Use Only* + + Calculation of modified delta value for a molecule + + res---->list type + ################################################################# + """ + global periodicTable + res = [] + for atom in mol.GetAtoms(): + n = atom.GetAtomicNum() + if n > 1: + nV = periodicTable.GetNOuterElecs(n) + nHs = atom.GetTotalNumHs() + if n < 10: + res.append(float(nV - nHs)) + else: + res.append(float(nV - nHs) / float(n - nV - 1)) + elif not skipHs: + res.append(0.0) + return res + + +def CalculateChiv0(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 0 + + ---->Chiv0 + + Usage: + + result=CalculateChiv0(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + deltas = _HKDeltas(mol, skipHs=0) + while 0 in deltas: + deltas.remove(0) + deltas = numpy.array(deltas, "d") + res = sum(numpy.sqrt(1.0 / deltas)) + return res + + +def _CalculateChivnp(mol, NumPath=1): + + """################################################################# + **Internal used only** + + Calculation of valence molecular connectivity chi index for path order 1 + ################################################################# + """ + + accum = 0.0 + deltas = _HKDeltas(mol, skipHs=0) + for path in Chem.FindAllPathsOfLengthN(mol, NumPath + 1, useBonds=0): + cAccum = 1.0 + for idx in path: + cAccum *= deltas[idx] + if cAccum: + accum += 1.0 / numpy.sqrt(cAccum) + return accum + + +def CalculateChiv1(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 1 + + ---->Chiv1 + + Usage: + + result=CalculateChiv1(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChivnp(mol, NumPath=1) + + +def CalculateChiv2(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 2 + + ---->Chiv2 + + Usage: + + result=CalculateChiv2(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChivnp(mol, NumPath=2) + + +def CalculateChiv3p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 3 + + ---->Chiv3 + + Usage: + + result=CalculateChiv3p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=3) + + +def CalculateChiv4p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 4 + + ---->Chiv4 + + Usage: + + result=CalculateChiv4p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=4) + + +def CalculateChiv5p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 5 + + ---->Chiv5 + + Usage: + + result=CalculateChiv5p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=5) + + +def CalculateChiv6p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 6 + + ---->Chiv6 + + Usage: + + result=CalculateChiv6p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=6) + + +def CalculateChiv7p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 7 + + ---->Chiv7 + + Usage: + + result=CalculateChiv7p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=7) + + +def CalculateChiv8p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 8 + + ---->Chiv8 + + Usage: + + result=CalculateChiv8p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=8) + + +def CalculateChiv9p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 9 + + ---->Chiv9 + + Usage: + + result=CalculateChiv9p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=9) + + +def CalculateChiv10p(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path order 10 + + ---->Chiv10 + + Usage: + + result=CalculateChiv10p(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + + return _CalculateChivnp(mol, NumPath=10) + + +def CalculateDeltaChi0(mol): + """ + ################################################################# + Calculation of the difference between chi0v and chi0 + + ---->dchi0 + + Usage: + + result=CalculateDeltaChi0(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return abs(CalculateChiv0(mol) - CalculateChi0(mol)) + + +def CalculateDeltaChi1(mol): + """ + ################################################################# + Calculation of the difference between chi1v and chi1 + + ---->dchi1 + + Usage: + + result=CalculateDeltaChi1(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return abs(CalculateChiv1(mol) - CalculateChi1(mol)) + + +def CalculateDeltaChi2(mol): + """ + ################################################################# + Calculation of the difference between chi2v and chi2 + + ---->dchi2 + + Usage: + + result=CalculateDeltaChi2(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return abs(_CalculateChivnp(mol, NumPath=2) - _CalculateChinp(mol, NumPath=2)) + + +def CalculateDeltaChi3(mol): + """ + ################################################################# + Calculation of the difference between chi3v and chi3 + + ---->dchi3 + + Usage: + + result=CalculateDeltaChi3(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return abs(_CalculateChivnp(mol, NumPath=3) - _CalculateChinp(mol, NumPath=3)) + + +def CalculateDeltaChi4(mol): + """ + ################################################################# + Calculation of the difference between chi4v and chi4 + + ---->dchi4 + + Usage: + + result=CalculateDeltaChi4(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return abs(_CalculateChivnp(mol, NumPath=4) - _CalculateChinp(mol, NumPath=4)) + + +def _AtomHKDeltas(atom, skipHs=0): + """ + ################################################################# + *Internal Use Only* + + Calculation of modified delta value for a molecule + ################################################################# + """ + global periodicTable + res = [] + n = atom.GetAtomicNum() + if n > 1: + nV = periodicTable.GetNOuterElecs(n) + nHs = atom.GetTotalNumHs() + if n < 10: + res.append(float(nV - nHs)) + else: + res.append(float(nV - nHs) / float(n - nV - 1)) + elif not skipHs: + res.append(0.0) + return res + + +def CalculateChiv3c(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for cluster + + ---->Chiv3c + + Usage: + + result=CalculateChiv3c(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)~*") + HPatt = mol.GetSubstructMatches(patt) + # print HPatt + for cluster in HPatt: + deltas = [_AtomHKDeltas(mol.GetAtomWithIdx(x)) for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, numpy.float) + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum + + +def CalculateChiv4c(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for cluster + + ---->Chiv4c + + Usage: + + result=CalculateChiv4c(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)(~*)~*") + HPatt = mol.GetSubstructMatches(patt) + # print HPatt + for cluster in HPatt: + deltas = [_AtomHKDeltas(mol.GetAtomWithIdx(x)) for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, numpy.float) + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum + + +def CalculateChiv4pc(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + path/cluster + + ---->Chiv4pc + + Usage: + + result=CalculateChiv4pc(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + accum = 0.0 + deltas = [x.GetDegree() for x in mol.GetAtoms()] + patt = Chem.MolFromSmarts("*~*(~*)~*~*") + HPatt = mol.GetSubstructMatches(patt) + # print HPatt + for cluster in HPatt: + deltas = [_AtomHKDeltas(mol.GetAtomWithIdx(x)) for x in cluster] + while 0 in deltas: + deltas.remove(0) + if deltas != []: + deltas1 = numpy.array(deltas, numpy.float) + accum = accum + 1.0 / numpy.sqrt(deltas1.prod()) + return accum + + +def CalculateDeltaChiv3c4pc(mol): + """ + ################################################################# + Calculation of the difference between chiv3c and chiv4pc + + ---->knotpv + + Usage: + + result=CalculateDeltaChiv3c4pc(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return abs(CalculateChiv3c(mol) - CalculateChiv4pc(mol)) + + +def _CalculateChivnch(mol, NumCyc=3): + """ + ################################################################# + **Internal used only** + + Calculation of valence molecular connectivity chi index for cycles of n + ################################################################# + """ + accum = 0.0 + deltas = _HKDeltas(mol, skipHs=0) + for tup in mol.GetRingInfo().AtomRings(): + cAccum = 1.0 + if len(tup) == NumCyc: + for idx in tup: + cAccum *= deltas[idx] + if cAccum: + accum += 1.0 / numpy.sqrt(cAccum) + + return accum + + +def CalculateChiv3ch(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index + + for cycles of 3 + + ---->Chiv3ch + + Usage: + + result=CalculateChiv3ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChivnch(mol, NumCyc=3) + + +def CalculateChiv4ch(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + cycles of 4 + + ---->Chiv4ch + + Usage: + + result=CalculateChiv4ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChivnch(mol, NumCyc=4) + + +def CalculateChiv5ch(mol): + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + cycles of 5 + + ---->Chiv5ch + + Usage: + + result=CalculateChiv5ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChivnch(mol, NumCyc=5) + + +def CalculateChiv6ch(mol): + + """ + ################################################################# + Calculation of valence molecular connectivity chi index for + + cycles of 6 + + ---->Chiv6ch + + Usage: + + result=CalculateChiv6ch(mol) + + Input: mol is a molecule object. + + Output: result is a numeric value + ################################################################# + """ + return _CalculateChivnch(mol, NumCyc=6) + + +_connectivity = { + "Chi0": CalculateChi0, + "Chi1": CalculateChi1, + "mChi1": CalculateMeanRandic, + "Chi2": CalculateChi2, + "Chi3": CalculateChi3p, + "Chi4": CalculateChi4p, + "Chi5": CalculateChi5p, + "Chi6": CalculateChi6p, + "Chi7": CalculateChi7p, + "Chi8": CalculateChi8p, + "Chi9": CalculateChi9p, + "Chi10": CalculateChi10p, + "Chi3c": CalculateChi3c, + "Chi4c": CalculateChi4c, + "Chi4pc": CalculateChi4pc, + "Chi3ch": CalculateChi3ch, + "Chi4ch": CalculateChi4ch, + "Chi5ch": CalculateChi5ch, + "Chi6ch": CalculateChi6ch, + "knotp": CalculateDeltaChi3c4pc, + "Chiv0": CalculateChiv0, + "Chiv1": CalculateChiv1, + "Chiv2": CalculateChiv2, + "Chiv3": CalculateChiv3p, + "Chiv4": CalculateChiv4p, + "Chiv5": CalculateChiv5p, + "Chiv6": CalculateChiv6p, + "Chiv7": CalculateChiv7p, + "Chiv8": CalculateChiv8p, + "Chiv9": CalculateChiv9p, + "Chiv10": CalculateChiv10p, + "dchi0": CalculateDeltaChi0, + "dchi1": CalculateDeltaChi1, + "dchi2": CalculateDeltaChi2, + "dchi3": CalculateDeltaChi3, + "dchi4": CalculateDeltaChi4, + "Chiv3c": CalculateChiv3c, + "Chiv4c": CalculateChiv4c, + "Chiv4pc": CalculateChiv4pc, + "Chiv3ch": CalculateChiv3ch, + "Chiv4ch": CalculateChiv4ch, + "Chiv5ch": CalculateChiv5ch, + "Chiv6ch": CalculateChiv6ch, + "knotpv": CalculateDeltaChiv3c4pc, +} + + +def GetConnectivity(mol): + """ + ################################################################# + Get the dictionary of connectivity descriptors for given moelcule mol + + Usage: + + result=GetConnectivity(mol) + + Input: mol is a molecule object. + + Output: result is a dict form containing all connectivity indices + ################################################################# + """ + result = {} + for DesLabel in _connectivity.keys(): + result[DesLabel] = round(_connectivity[DesLabel](mol), 3) + return result + + +############################################################################### +if __name__ == "__main__": + + smis = ["CCCC", "CCCCC", "CCCCCC", "CC(N)C(=O)O", "CC(N)C(=O)[O-].[Na+]"] + smi5 = ["CCCCCC", "CCC(C)CC", "CC(C)CCC", "CC(C)C(C)C", "CCCCCN", "c1ccccc1N"] + + for index, smi in enumerate(smis): + m = Chem.MolFromSmiles(smi) + print(index + 1) + print(smi) + print("\t", GetConnectivity(m)) + print("\t", len(GetConnectivity(m))) diff --git a/PyBioMed/PyMolecule/constitution.py b/PyBioMed/PyMolecule/constitution.py index c6dca45..02e7743 100644 --- a/PyBioMed/PyMolecule/constitution.py +++ b/PyBioMed/PyMolecule/constitution.py @@ -708,10 +708,16 @@ def GetConstitutional(mol): ################################################################# """ result = {} - for DesLabel in _constitutional.keys(): - result[DesLabel] = round(_constitutional[DesLabel](mol), 3) - return result - + #for DesLabel in _constitutional.keys(): + # result[DesLabel] = round(_constitutional[DesLabel](mol), 3) + #return result + + # Check if the result is a vector and handle accordingly + value = _constitutional[DesLabel](mol) + if isinstance(value, list) or hasattr(value, "__iter__"): # Check if it's a list or iterable + result[DesLabel] = [round(v, 3) for v in value] # Round each element in the vector + else: + result[DesLabel] = round(value, 3) ############################################################# diff --git a/PyBioMed/PyMolecule/estate.py b/PyBioMed/PyMolecule/estate.py index 361cb29..130e1c8 100644 --- a/PyBioMed/PyMolecule/estate.py +++ b/PyBioMed/PyMolecule/estate.py @@ -45,7 +45,7 @@ def _CalculateEState(mol, skipH=1): mol = Chem.RemoveHs(mol) tb1 = Chem.GetPeriodicTable() nAtoms = mol.GetNumAtoms() - Is = numpy.zeros(nAtoms, numpy.float) + Is = numpy.zeros(nAtoms, numpy.float64) for i in range(nAtoms): at = mol.GetAtomWithIdx(i) atNum = at.GetAtomicNum() @@ -58,7 +58,7 @@ def _CalculateEState(mol, skipH=1): Is[i] = (4.0 / (N * N) * dv + 1) / d dists = Chem.GetDistanceMatrix(mol, useBO=0, useAtomWts=0) dists += 1 - accum = numpy.zeros(nAtoms, numpy.float) + accum = numpy.zeros(nAtoms, numpy.float64) for i in range(nAtoms): for j in range(i + 1, nAtoms): p = dists[i, j] @@ -78,7 +78,7 @@ def _CalculateAtomEState(mol,AtomicNum=6): ################################################################# """ nAtoms=mol.GetNumAtoms() - Is=numpy.zeros(nAtoms,numpy.float) + Is=numpy.zeros(nAtoms,numpy.float64) Estate=_CalculateEState(mol) for i in range(nAtoms): diff --git a/PyBioMed/PyMolecule/topology.py b/PyBioMed/PyMolecule/topology.py index 61c0863..7d0fa3b 100644 --- a/PyBioMed/PyMolecule/topology.py +++ b/PyBioMed/PyMolecule/topology.py @@ -825,7 +825,7 @@ def CalculateDistanceEqualityMeanInf(mol): n=1./2*nAT**2-nAT DisType=int(Distance.max()) res=0.0 - cc=numpy.zeros(DisType,numpy.float) + cc=numpy.zeros(DisType,numpy.float64) for i in range(DisType): cc[i]=1./2*sum(sum(Distance==i+1)) diff --git a/PyBioMed/aaindex1 b/PyBioMed/aaindex1 deleted file mode 100644 index f7c90c7..0000000 --- a/PyBioMed/aaindex1 +++ /dev/null @@ -1,10575 +0,0 @@ -H ANDN920101 -D alpha-CH chemical shifts (Andersen et al., 1992) -R PMID:1575719 -A Andersen, N.H., Cao, B. and Chen, C. -T Peptide/protein structure analysis using the chemical shift index method: - upfield alpha-CH values reveal dynamic helices and aL sites -J Biochem. and Biophys. Res. Comm. 184, 1008-1014 (1992) -C BUNA790102 0.949 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.35 4.38 4.75 4.76 4.65 4.37 4.29 3.97 4.63 3.95 - 4.17 4.36 4.52 4.66 4.44 4.50 4.35 4.70 4.60 3.95 -// -H ARGP820101 -D Hydrophobicity index (Argos et al., 1982) -R PMID:7151796 -A Argos, P., Rao, J.K.M. and Hargrave, P.A. -T Structural prediction of membrane-bound proteins -J Eur. J. Biochem. 128, 565-575 (1982) -C JOND750101 1.000 SIMZ760101 0.967 GOLD730101 0.936 - TAKK010101 0.906 MEEJ810101 0.891 ROSM880104 0.872 - CIDH920105 0.867 LEVM760106 0.865 CIDH920102 0.862 - MEEJ800102 0.855 MEEJ810102 0.853 ZHOH040101 0.841 - CIDH920103 0.827 PLIV810101 0.820 CIDH920104 0.819 - LEVM760107 0.806 NOZY710101 0.800 GUYH850103 -0.808 - PARJ860101 -0.835 WOLS870101 -0.838 BULH740101 -0.854 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.61 0.60 0.06 0.46 1.07 0. 0.47 0.07 0.61 2.22 - 1.53 1.15 1.18 2.02 1.95 0.05 0.05 2.65 1.88 1.32 -// -H ARGP820102 -D Signal sequence helical potential (Argos et al., 1982) -R PMID:7151796 -A Argos, P., Rao, J.K.M. and Hargrave, P.A. -T Structural prediction of membrane-bound proteins -J Eur. J. Biochem. 128, 565-575 (1982) -C ARGP820103 0.961 KYTJ820101 0.803 JURD980101 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.18 0.20 0.23 0.05 1.89 0.72 0.11 0.49 0.31 1.45 - 3.23 0.06 2.67 1.96 0.76 0.97 0.84 0.77 0.39 1.08 -// -H ARGP820103 -D Membrane-buried preference parameters (Argos et al., 1982) -R PMID:7151796 -A Argos, P., Rao, J.K.M. and Hargrave, P.A. -T Structural prediction of membrane-bound proteins -J Eur. J. Biochem. 128, 565-575 (1982) -C ARGP820102 0.961 MIYS850101 0.822 NAKH900106 0.810 - EISD860103 0.810 KYTJ820101 0.806 JURD980101 0.800 - PUNT030101 -0.810 MIYS990102 -0.814 MIYS990101 -0.817 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.56 0.45 0.27 0.14 1.23 0.51 0.23 0.62 0.29 1.67 - 2.93 0.15 2.96 2.03 0.76 0.81 0.91 1.08 0.68 1.14 -// -H BEGF750101 -D Conformational parameter of inner helix (Beghin-Dirkx, 1975) -R PMID:50789 -A Beghin, F. and Dirkx, J. -T Une methode statistique simple de prediction des conformations proteiques -J Arch. Int. Physiol. Biochim. 83, 167-168 (1975) -C KANM800103 0.893 AURR980113 0.857 ROBB760103 0.852 - CHOP780201 0.841 QIAN880105 0.833 AURR980109 0.821 - QIAN880107 0.815 PALJ810102 0.811 AURR980108 0.810 - CHOP780101 -0.803 CHOP780210 -0.804 CRAJ730103 -0.812 - ROBB760108 -0.819 ROBB760113 -0.826 CHAM830101 -0.854 - PALJ810106 -0.859 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1. 0.52 0.35 0.44 0.06 0.44 0.73 0.35 0.60 0.73 - 1. 0.60 1. 0.60 0.06 0.35 0.44 0.73 0.44 0.82 -// -H BEGF750102 -D Conformational parameter of beta-structure (Beghin-Dirkx, 1975) -R PMID:50789 -A Beghin, F. and Dirkx, J. -T Une methode statistique simple de prediction des conformations proteiques -J Arch. Int. Physiol. Biochim. 83, 167-168 (1975) -C CORJ870105 0.878 CORJ870106 0.853 PRAM900103 0.834 - LEVM780102 0.834 PALJ810110 0.834 NAGK730102 0.833 - CORJ870107 0.831 QIAN880120 0.829 QIAN880119 0.811 - ROBB760106 0.809 PTIO830102 0.807 LIFS790101 0.807 - MIYS850101 0.806 PONP800107 0.803 PALJ810104 0.801 - CORJ870108 -0.825 MEIH800101 -0.832 RACS770101 -0.840 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.77 0.72 0.55 0.65 0.65 0.72 0.55 0.65 0.83 0.98 - 0.83 0.55 0.98 0.98 0.55 0.55 0.83 0.77 0.83 0.98 -// -H BEGF750103 -D Conformational parameter of beta-turn (Beghin-Dirkx, 1975) -R PMID:50789 -A Beghin, F. and Dirkx, J. -T Une methode statistique simple de prediction des conformations proteiques -J Arch. Int. Physiol. Biochim. 83, 167-168 (1975) -C ROBB760113 0.924 ROBB760108 0.922 ROBB760110 0.903 - CHOP780101 0.885 CRAJ730103 0.874 PALJ810106 0.859 - TANS770110 0.834 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.37 0.84 0.97 0.97 0.84 0.64 0.53 0.97 0.75 0.37 - 0.53 0.75 0.64 0.53 0.97 0.84 0.75 0.97 0.84 0.37 -// -H BHAR880101 -D Average flexibility indices (Bhaskaran-Ponnuswamy, 1988) -R -A Bhaskaran, R. and Ponnuswamy, P.K. -T Positional flexibilities of amino acid residues in globular proteins -J Int. J. Peptide Protein Res. 32, 241-255 (1988) -C VINM940103 0.869 KARP850102 0.806 WERD780101 -0.803 - RICJ880111 -0.813 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.357 0.529 0.463 0.511 0.346 0.493 0.497 0.544 0.323 0.462 - 0.365 0.466 0.295 0.314 0.509 0.507 0.444 0.305 0.420 0.386 -// -H BIGC670101 -D Residue volume (Bigelow, 1967) -R PMID:6048539 -A Bigelow, C.C. -T On the average hydrophobicity of proteins and the relation between it and - protein structure -J J. Theor. Biol. 16, 187-211 (1967) (Asn Gln 5.0) -C GOLD730102 1.000 KRIW790103 0.993 TSAJ990101 0.993 - TSAJ990102 0.992 CHOC750101 0.990 GRAR740103 0.984 - FAUJ880103 0.972 CHAM820101 0.966 HARY940101 0.960 - CHOC760101 0.960 PONJ960101 0.950 FASG760101 0.919 - LEVM760105 0.913 ROSG850101 0.910 DAWD720101 0.903 - LEVM760102 0.896 ZHOH040102 0.884 LEVM760106 0.876 - CHAM830106 0.870 LEVM760107 0.863 FAUJ880106 0.860 - RADA880106 0.856 MCMT640101 0.814 RADA880103 -0.865 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 52.6 109.1 75.7 68.4 68.3 89.7 84.7 36.3 91.9 102.0 - 102.0 105.1 97.7 113.9 73.6 54.9 71.2 135.4 116.2 85.1 -// -H BIOV880101 -D Information value for accessibility; average fraction 35% (Biou et al., 1988) -R PMID:3237683 -A Biou, V., Gibrat, J.F., Levin, J.M., Robson, B. and Garnier, J. -T Secondary structure prediction: combination of three different methods -J Protein Engineering 2, 185-191 (1988) -C RADA880108 0.981 ROSG850102 0.981 NISK860101 0.972 - BIOV880102 0.968 MIYS850101 0.960 WERD780101 0.951 - FAUJ830101 0.942 ZHOH040103 0.941 NADH010103 0.939 - NADH010104 0.937 CASG920101 0.935 MEIH800103 0.934 - CIDH920104 0.933 BASU050103 0.926 PONP800103 0.926 - PONP800102 0.926 NADH010102 0.921 NISK800101 0.920 - PONP800101 0.918 CORJ870101 0.917 CIDH920105 0.912 - PONP930101 0.912 BASU050102 0.909 PONP800108 0.907 - PLIV810101 0.899 MANP780101 0.899 ROBB790101 0.890 - CORJ870107 0.889 CIDH920103 0.887 BASU050101 0.883 - DESM900102 0.878 CORJ870103 0.876 JANJ780102 0.875 - ROSM880105 0.874 CORJ870106 0.870 CORJ870104 0.867 - NADH010105 0.867 CIDH920102 0.864 EISD860103 0.864 - CORJ870105 0.859 MEEJ810101 0.855 BAEK050101 0.853 - JANJ790102 0.848 CIDH920101 0.847 JURD980101 0.840 - GUOD860101 0.839 SWER830101 0.839 NADH010101 0.838 - BLAS910101 0.838 CORJ870102 0.837 KYTJ820101 0.829 - EISD860101 0.828 JANJ790101 0.827 ZHOH040101 0.825 - MEEJ810102 0.824 CHOC760103 0.823 PONP800107 0.816 - EISD840101 0.811 DESM900101 0.807 KRIW710101 -0.813 - PARS000101 -0.819 FUKS010102 -0.820 KARP850101 -0.825 - JANJ780103 -0.829 WOEC730101 -0.829 ROSM880101 -0.830 - LEVM760101 -0.831 KUHL950101 -0.834 FUKS010103 -0.840 - GUYH850104 -0.844 HOPT810101 -0.848 WOLS870101 -0.854 - ROSM880102 -0.854 RACS770103 -0.856 OOBM770101 -0.858 - KRIW790102 -0.869 FUKS010104 -0.873 VINM940102 -0.876 - PUNT030102 -0.878 KARP850102 -0.880 PUNT030101 -0.883 - CORJ870108 -0.886 PARJ860101 -0.889 GUYH850103 -0.890 - KIDA850101 -0.893 RACS770101 -0.893 VINM940103 -0.901 - GRAR740102 -0.910 KRIW790101 -0.910 OOBM770103 -0.920 - GUYH850102 -0.922 GUYH850101 -0.929 RACS770102 -0.937 - VINM940101 -0.941 MIYS990101 -0.947 MIYS990102 -0.948 - MEIH800101 -0.949 MEIH800102 -0.956 MIYS990103 -0.962 - MIYS990104 -0.965 MIYS990105 -0.975 FASG890101 -0.982 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 16. -70. -74. -78. 168. -73. -106. -13. 50. 151. - 145. -141. 124. 189. -20. -70. -38. 145. 53. 123. -// -H BIOV880102 -D Information value for accessibility; average fraction 23% (Biou et al., 1988) -R PMID:3237683 -A Biou, V., Gibrat, J.F., Levin, J.M., Robson, B. and Garnier, J. -T Secondary structure prediction: combination of three different methods -J Protein Engineering 2, 185-191 (1988) -C BIOV880101 0.968 ROSG850102 0.960 RADA880108 0.942 - NISK860101 0.939 MIYS850101 0.930 WERD780101 0.929 - CASG920101 0.919 MEIH800103 0.916 NADH010102 0.914 - NADH010103 0.913 FAUJ830101 0.911 NADH010104 0.900 - ZHOH040103 0.891 CIDH920104 0.890 CIDH920105 0.882 - CORJ870101 0.882 PONP800103 0.879 PONP930101 0.877 - DESM900102 0.876 NISK800101 0.873 ROSM880105 0.871 - BASU050103 0.868 PONP800102 0.867 JANJ780102 0.862 - PONP800101 0.860 CIDH920103 0.860 PLIV810101 0.858 - JANJ790102 0.856 PONP800108 0.854 WARP780101 0.853 - CORJ870107 0.850 MANP780101 0.847 EISD860103 0.845 - CORJ870103 0.840 BASU050102 0.838 CIDH920102 0.837 - EISD860101 0.832 NAKH900110 0.829 CORJ870105 0.823 - MEEJ810101 0.822 DESM900101 0.821 ROBB790101 0.821 - CIDH920101 0.819 CORJ870106 0.818 GUOD860101 0.817 - CORJ870104 0.815 PONP800107 0.814 EISD840101 0.814 - BASU050101 0.812 BLAS910101 0.809 JURD980101 0.805 - NADH010101 0.804 KARP850101 -0.804 KUHL950101 -0.809 - JANJ780101 -0.809 FUKS010102 -0.810 PARS000101 -0.813 - GUYH850103 -0.818 WOEC730101 -0.819 ROSM880101 -0.824 - VINM940102 -0.826 CORJ870108 -0.831 ROSM880102 -0.837 - WOLS870101 -0.842 LEVM760101 -0.847 GUYH850104 -0.855 - KARP850102 -0.859 JANJ780103 -0.860 PUNT030102 -0.860 - HOPT810101 -0.864 PARJ860101 -0.875 RACS770101 -0.875 - KRIW790101 -0.876 OOBM770101 -0.877 KRIW790102 -0.878 - GRAR740102 -0.881 GUYH850101 -0.885 FUKS010104 -0.887 - PUNT030101 -0.888 VINM940103 -0.889 KIDA850101 -0.892 - MIYS990101 -0.901 MIYS990102 -0.902 GUYH850102 -0.903 - RACS770103 -0.906 MIYS990103 -0.923 OOBM770103 -0.925 - FASG890101 -0.928 VINM940101 -0.929 MIYS990104 -0.932 - RACS770102 -0.932 MEIH800101 -0.937 MIYS990105 -0.947 - MEIH800102 -0.951 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 44. -68. -72. -91. 90. -117. -139. -8. 47. 100. - 108. -188. 121. 148. -36. -60. -54. 163. 22. 117. -// -H BROC820101 -D Retention coefficient in TFA (Browne et al., 1982) -R PMID:7125223 -A Browne, C.A., Bennett, H.P.J. and Solomon, S. -T The isolation of peptides by high-performance liquid chromatography using - predicted elution positions -J Anal. Biochem. 124, 201-208 (1982) -C BROC820102 0.925 ZIMJ680105 0.896 MEEJ800102 0.877 - TAKK010101 0.836 GUOD860101 0.832 NAKH900110 0.830 - NOZY710101 0.829 MEEJ810102 0.820 RADA880102 0.811 - BULH740101 -0.815 PARJ860101 -0.849 WOLS870101 -0.871 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.3 -3.6 -5.7 -2.9 -9.2 -0.3 -7.1 -1.2 -2.1 6.6 - 20.0 -3.7 5.6 19.2 5.1 -4.1 0.8 16.3 5.9 3.5 -// -H BROC820102 -D Retention coefficient in HFBA (Browne et al., 1982) -R PMID:7125223 -A Browne, C.A., Bennett, H.P.J. and Solomon, S. -T The isolation of peptides by high-performance liquid chromatography using - predicted elution positions -J Anal. Biochem. 124, 201-208 (1982) -C BROC820101 0.925 ZIMJ680105 0.865 MEEJ800102 0.857 - MEEJ800101 0.840 TAKK010101 0.839 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 3.9 3.2 -2.8 -2.8 -14.3 1.8 -7.5 -2.3 2.0 11.0 - 15.0 -2.5 4.1 14.7 5.6 -3.5 1.1 17.8 3.8 2.1 -// -H BULH740101 -D Transfer free energy to surface (Bull-Breese, 1974) -R PMID:4839053 -A Bull, H.B. and Breese, K. -T Surface tension of amino acid solutions: A hydrophobicity scale of the amino - acid residues -J Arch. Biochem. Biophys. 161, 665-670 (1974) -C WOLS870101 0.929 PARJ860101 0.909 MIYS990101 0.884 - MIYS990102 0.880 GRAR740102 0.822 GUYH850103 0.820 - COWR900101 -0.804 ROBB790101 -0.813 BROC820101 -0.815 - LEVM760106 -0.818 ZHOH040103 -0.828 CIDH920104 -0.829 - FAUJ830101 -0.830 BASU050103 -0.833 EISD860101 -0.833 - MIYS850101 -0.838 WILM950101 -0.845 BASU050102 -0.845 - CIDH920103 -0.848 CIDH920102 -0.851 JOND750101 -0.853 - ARGP820101 -0.854 BASU050101 -0.854 RADA880102 -0.856 - ZHOH040102 -0.860 BLAS910101 -0.860 TAKK010101 -0.865 - CIDH920105 -0.871 GOLD730101 -0.874 MEEJ800102 -0.875 - ZHOH040101 -0.876 MEEJ810101 -0.876 ZIMJ680105 -0.879 - MEEJ810102 -0.880 ROSM880104 -0.884 NOZY710101 -0.892 - SIMZ760101 -0.894 VENT840101 -0.907 PLIV810101 -0.912 - GUOD860101 -0.922 SWER830101 -0.923 CORJ870102 -0.923 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.20 -0.12 0.08 -0.20 -0.45 0.16 -0.30 0.00 -0.12 -2.26 - -2.46 -0.35 -1.47 -2.33 -0.98 -0.39 -0.52 -2.01 -2.24 -1.56 -// -H BULH740102 -D Apparent partial specific volume (Bull-Breese, 1974) -R PMID:4839053 -A Bull, H.B. and Breese, K. -T Surface tension of amino acid solutions: A hydrophobicity scale of the amino - acid residues -J Arch. Biochem. Biophys. 161, 665-670 (1974) (Tyr !) -C COHE430101 0.923 ZIMJ680102 0.825 GOLD730101 0.825 - SIMZ760101 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.691 0.728 0.596 0.558 0.624 0.649 0.632 0.592 0.646 0.809 - 0.842 0.767 0.709 0.756 0.730 0.594 0.655 0.743 0.743 0.777 -// -H BUNA790101 -D alpha-NH chemical shifts (Bundi-Wuthrich, 1979) -R -A Bundi, A. and Wuthrich, K. -T 1H-nmr parameters of the common amino acid residues measured in aqueous - solutions of the linear tetrapeptides H-Gly-Gly-X-L-Ala-OH -J Biopolymers 18, 285-297 (1979) (Pro !) -C BLAM930101 0.945 ONEK900101 0.902 ROBB760104 0.823 - FAUJ880113 0.818 CHOP780213 -0.822 ISOY800104 -0.842 - MUNV940104 -0.865 TANS770104 -0.867 MUNV940105 -0.874 - GEOR030109 -0.901 AVBF000104 -0.922 ONEK900102 -0.949 - FINA910102 -0.992 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.249 8.274 8.747 8.410 8.312 8.411 8.368 8.391 8.415 8.195 - 8.423 8.408 8.418 8.228 0. 8.380 8.236 8.094 8.183 8.436 -// -H BUNA790102 -D alpha-CH chemical shifts (Bundi-Wuthrich, 1979) -R -A Bundi, A. and Wuthrich, K. -T 1H-nmr parameters of the common amino acid residues measured in aqueous - solutions of the linear tetrapeptides H-Gly-Gly-X-L-Ala-OH -J Biopolymers 18, 285-297 (1979) -C ANDN920101 0.949 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.349 4.396 4.755 4.765 4.686 4.373 4.295 3.972 4.630 4.224 - 4.385 4.358 4.513 4.663 4.471 4.498 4.346 4.702 4.604 4.184 -// -H BUNA790103 -D Spin-spin coupling constants 3JHalpha-NH (Bundi-Wuthrich, 1979) -R -A Bundi, A. and Wuthrich, K. -T 1H-nmr parameters of the common amino acid residues measured in aqueous - solutions of the linear tetrapeptides H-Gly-Gly-X-L-Ala-OH -J Biopolymers 18, 285-297 (1979) (Met Pro Trp !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.5 6.9 7.5 7.0 7.7 6.0 7.0 5.6 8.0 7.0 - 6.5 6.5 0. 9.4 0. 6.5 6.9 0. 6.8 7.0 -// -H BURA740101 -D Normalized frequency of alpha-helix (Burgess et al., 1974) -R -A Burgess, A.W., Ponnuswamy, P.K. and Scheraga, H.A. -T Analysis of conformations of amino acid residues and prediction of backbone - topography in proteins -J Isr. J. Chem. 12, 239-286 (1974) -C CHOP780201 0.917 TANS770101 0.917 ROBB760101 0.912 - CRAJ730101 0.900 PALJ810102 0.900 NAGK730101 0.883 - GEIM800101 0.858 KANM800101 0.855 MAXF760101 0.852 - PALJ810101 0.850 ISOY800101 0.839 LEVM780104 0.833 - GEIM800104 0.819 KANM800103 0.810 RACS820108 0.809 - AURR980108 0.808 PRAM900102 0.805 LEVM780101 0.805 - NAGK730103 -0.830 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.486 0.262 0.193 0.288 0.200 0.418 0.538 0.120 0.400 0.370 - 0.420 0.402 0.417 0.318 0.208 0.200 0.272 0.462 0.161 0.379 -// -H BURA740102 -D Normalized frequency of extended structure (Burgess et al., 1974) -R -A Burgess, A.W., Ponnuswamy, P.K. and Scheraga, H.A. -T Analysis of conformations of amino acid residues and prediction of backbone - topography in proteins -J Isr. J. Chem. 12, 239-286 (1974) -C ROBB760105 0.821 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.288 0.362 0.229 0.271 0.533 0.327 0.262 0.312 0.200 0.411 - 0.400 0.265 0.375 0.318 0.340 0.354 0.388 0.231 0.429 0.495 -// -H CHAM810101 -D Steric parameter (Charton, 1981) -R PMID:7300379 -A Charton, M. -T Protein folding and the genetic code: An alternative quantitative model -J J. Theor. Biol. 91, 115-123 (1981) (Pro !) -C FAUJ880102 0.881 LEVM760104 -0.818 KIMC930101 -0.848 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.52 0.68 0.76 0.76 0.62 0.68 0.68 0.00 0.70 1.02 - 0.98 0.68 0.78 0.70 0.36 0.53 0.50 0.70 0.70 0.76 -// -H CHAM820101 -D Polarizability parameter (Charton-Charton, 1982) -R PMID:7183857 -A Charton, M. and Charton, B.I. -T The structural dependence of amino acid hydrophobicity parameters -J J. Theor. Biol. 99, 629-644 (1982) (Pro 0.018) -C FAUJ880103 0.992 CHOC750101 0.982 TSAJ990102 0.978 - TSAJ990101 0.977 GOLD730102 0.967 CHOC760101 0.966 - BIGC670101 0.966 KRIW790103 0.963 FASG760101 0.962 - GRAR740103 0.951 PONJ960101 0.938 HARY940101 0.933 - ROSG850101 0.917 LEVM760102 0.915 LEVM760105 0.915 - FAUJ880106 0.902 CHAM830106 0.899 LEVM760107 0.891 - MCMT640101 0.871 DAWD720101 0.865 RADA880106 0.847 - ZHOH040102 0.826 LEVM760106 0.818 HUTJ700102 0.815 - CHAM830105 0.809 SNEP660103 0.808 RADA880103 -0.912 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.046 0.291 0.134 0.105 0.128 0.180 0.151 0.000 0.230 0.186 - 0.186 0.219 0.221 0.290 0.131 0.062 0.108 0.409 0.298 0.140 -// -H CHAM820102 -D Free energy of solution in water, kcal/mole (Charton-Charton, 1982) -R PMID:7183857 -A Charton, M. and Charton, B.I. -T The structural dependence of amino acid hydrophobicity parameters -J J. Theor. Biol. 99, 629-644 (1982) (Asn His Lys Thr !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.368 -1.03 0. 2.06 4.53 0.731 1.77 -0.525 0. 0.791 - 1.07 0. 0.656 1.06 -2.24 -0.524 0. 1.60 4.91 0.401 -// -H CHAM830101 -D The Chou-Fasman parameter of the coil conformation (Charton-Charton, 1983) -R PMID:6876837 -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) -C CHOP780101 0.946 CHOP780216 0.942 PALJ810106 0.939 - GEIM800111 0.938 CHOP780203 0.931 QIAN880132 0.925 - TANS770110 0.917 GEIM800108 0.916 QIAN880133 0.913 - LEVM780103 0.909 PRAM900104 0.909 CHOP780210 0.905 - LEVM780106 0.900 ISOY800103 0.881 QIAN880131 0.860 - NAGK730103 0.857 ROBB760113 0.841 QIAN880134 0.841 - PALJ810105 0.826 CRAJ730103 0.821 QIAN880135 0.814 - ROBB760108 0.812 ROBB760110 0.804 AVBF000102 -0.803 - QIAN880105 -0.803 PALJ810102 -0.808 FAUJ880102 -0.809 - ISOY800101 -0.815 RICJ880109 -0.826 CHOP780201 -0.828 - AURR980113 -0.828 ROBB760101 -0.828 AURR980108 -0.834 - PTIO830101 -0.841 AURR980114 -0.842 BEGF750101 -0.854 - QIAN880106 -0.856 QIAN880107 -0.858 ROBB760103 -0.878 - KANM800103 -0.889 SUEM840101 -0.891 AURR980109 -0.896 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.71 1.06 1.37 1.21 1.19 0.87 0.84 1.52 1.07 0.66 - 0.69 0.99 0.59 0.71 1.61 1.34 1.08 0.76 1.07 0.63 -// -H CHAM830102 -D A parameter defined from the residuals obtained from the best correlation of - the Chou-Fasman parameter of beta-sheet (Charton-Charton, 1983) -R PMID:6876837 -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) (Pro !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.118 0.124 0.289 0.048 0.083 -0.105 -0.245 0.104 0.138 0.230 - -0.052 0.032 -0.258 0.015 0. 0.225 0.166 0.158 0.094 0.513 -// -H CHAM830103 -D The number of atoms in the side chain labelled 1+1 (Charton-Charton, 1983) -R PMID:6876837 -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) (Pro !) -C AVBF000101 0.843 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 1. 1. 1. 1. 1. 1. 0. 1. 2. - 1. 1. 1. 1. 0. 1. 2. 1. 1. 2. -// -H CHAM830104 -D The number of atoms in the side chain labelled 2+1 (Charton-Charton, 1983) -R PMID: -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) (Pro !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 1. 1. 1. 0. 1. 1. 0. 1. 1. - 2. 1. 1. 1. 0. 0. 0. 1. 1. 0. -// -H CHAM830105 -D The number of atoms in the side chain labelled 3+1 (Charton-Charton, 1983) -R PMID:6876837 -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) (Pro !) -C CHAM830106 0.874 LEVM760102 0.843 FASG760101 0.839 - CHOC760101 0.833 LEVM760105 0.829 FAUJ880103 0.813 - CHAM820101 0.809 RADA880103 -0.808 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 1. 0. 0. 0. 1. 1. 0. 1. 0. - 0. 1. 1. 1. 0. 0. 0. 1.5 1. 0. -// -H CHAM830106 -D The number of bonds in the longest chain (Charton-Charton, 1983) -R PMID:6876837 -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) (Pro !) -C LEVM760102 0.962 LEVM760105 0.958 FASG760101 0.943 - CHOC760101 0.937 FAUJ880103 0.927 RADA880106 0.922 - PONJ960101 0.917 CHOC750101 0.906 CHAM820101 0.899 - TSAJ990102 0.896 HARY940101 0.894 GRAR740103 0.890 - TSAJ990101 0.889 KRIW790103 0.876 CHAM830105 0.874 - BIGC670101 0.870 GOLD730102 0.869 OOBM770102 0.858 - FAUJ880106 0.845 FAUJ880104 0.817 RADA880103 -0.901 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 5. 2. 2. 1. 3. 3. 0. 3. 2. - 2. 4. 3. 4. 0. 1. 1. 5. 5. 1. -// -H CHAM830107 -D A parameter of charge transfer capability (Charton-Charton, 1983) -R PMID:6876837 -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) (Pro !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 0. 1. 1. 0. 0. 1. 1. 0. 0. - 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. -// -H CHAM830108 -D A parameter of charge transfer donor capability (Charton-Charton, 1983) -R PMID:6876837 -A Charton, M. and Charton, B. -T The dependence of the Chou-Fasman parameters on amino acid side chain - structure -J J. Theor. Biol. 111, 447-450 (1983) (Pro !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 1. 1. 0. 1. 1. 0. 0. 1. 0. - 0. 1. 1. 1. 0. 0. 0. 1. 1. 0. -// -H CHOC750101 -D Average volume of buried residue (Chothia, 1975) -R PMID:1118010 -A Chothia, C. -T Structural invariants in protein folding -J Nature 254, 304-308 (1975) (Arg missing) -C TSAJ990102 0.996 TSAJ990101 0.995 FAUJ880103 0.990 - BIGC670101 0.990 GOLD730102 0.989 CHAM820101 0.982 - KRIW790103 0.982 CHOC760101 0.981 GRAR740103 0.973 - PONJ960101 0.966 HARY940101 0.961 FASG760101 0.956 - LEVM760105 0.939 LEVM760102 0.933 ROSG850101 0.908 - CHAM830106 0.906 DAWD720101 0.901 FAUJ880106 0.888 - RADA880106 0.867 LEVM760107 0.858 ZHOH040102 0.856 - LEVM760106 0.841 MCMT640101 0.822 HUTJ700102 0.802 - RADA880103 -0.892 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 91.5 202.0 135.2 124.5 117.7 161.1 155.1 66.4 167.3 168.8 - 167.9 171.3 170.8 203.4 129.3 99.1 122.1 237.6 203.6 141.7 -// -H CHOC760101 -D Residue accessible surface area in tripeptide (Chothia, 1976) -R PMID:994183 -A Chothia, C. -T The nature of the accessible and buried surfaces in proteins -J J. Mol. Biol. 105, 1-14 (1976) -C FAUJ880103 0.985 CHOC750101 0.981 FASG760101 0.978 - LEVM760102 0.972 TSAJ990102 0.972 LEVM760105 0.968 - TSAJ990101 0.968 CHAM820101 0.966 PONJ960101 0.961 - GOLD730102 0.960 BIGC670101 0.960 KRIW790103 0.948 - HARY940101 0.946 GRAR740103 0.945 CHAM830106 0.937 - DAWD720101 0.901 FAUJ880106 0.898 RADA880106 0.875 - WOLS870102 0.845 ROSG850101 0.842 FAUJ880104 0.835 - CHAM830105 0.833 OOBM770102 0.824 HUTJ700102 0.819 - MCMT640101 0.809 LEVM760107 0.807 RADA880103 -0.924 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 115. 225. 160. 150. 135. 180. 190. 75. 195. 175. - 170. 200. 185. 210. 145. 115. 140. 255. 230. 155. -// -H CHOC760102 -D Residue accessible surface area in folded protein (Chothia, 1976) -R PMID:994183 -A Chothia, C. -T The nature of the accessible and buried surfaces in proteins -J J. Mol. Biol. 105, 1-14 (1976) -C JANJ780101 0.973 GUYH850104 0.970 JANJ780103 0.959 - GUYH850105 0.946 OOBM770101 0.925 FAUJ880109 0.872 - ROSM880102 0.845 MEIH800102 0.839 PRAM900101 0.826 - ENGD860101 0.826 PUNT030101 0.809 RACS770102 0.809 - GUYH850101 0.807 KIDA850101 0.804 MEIH800103 -0.802 - EISD860103 -0.802 JACR890101 -0.803 NADH010104 -0.809 - JANJ790101 -0.809 RADA880101 -0.814 ROSG850102 -0.819 - DESM900102 -0.823 RADA880104 -0.830 WOLR790101 -0.834 - KYTJ820101 -0.838 WOLR810101 -0.840 NADH010103 -0.840 - CHOC760104 -0.845 WARP780101 -0.849 JURD980101 -0.851 - OLSK800101 -0.886 EISD840101 -0.892 NADH010102 -0.893 - CHOC760103 -0.912 RADA880107 -0.925 JANJ780102 -0.935 - JANJ790102 -0.969 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 25. 90. 63. 50. 19. 71. 49. 23. 43. 18. - 23. 97. 31. 24. 50. 44. 47. 32. 60. 18. -// -H CHOC760103 -D Proportion of residues 95% buried (Chothia, 1976) -R PMID:994183 -A Chothia, C. -T The nature of the accessible and buried surfaces in proteins -J J. Mol. Biol. 105, 1-14 (1976) -C OLSK800101 0.981 JURD980101 0.967 KYTJ820101 0.964 - JANJ780102 0.950 NADH010102 0.910 CHOC760104 0.907 - JANJ790102 0.905 EISD860103 0.892 JANJ790101 0.887 - EISD840101 0.885 NADH010101 0.881 DESM900102 0.877 - NADH010103 0.875 WOLR810101 0.873 RADA880107 0.870 - MEIH800103 0.865 MANP780101 0.859 WOLR790101 0.857 - RADA880101 0.853 ROSG850102 0.851 NADH010104 0.848 - PONP800103 0.837 PONP800102 0.836 PONP800101 0.830 - RADA880108 0.830 WARP780101 0.824 NAKH920108 0.824 - BIOV880101 0.823 CORJ870101 0.822 RADA880104 0.821 - COWR900101 0.820 PONP930101 0.816 PONP800107 0.813 - MIYS850101 0.810 LIFS790102 0.810 PONP800108 0.809 - BASU050103 0.805 MIYS990101 -0.803 MIYS990102 -0.805 - FAUJ880109 -0.806 ENGD860101 -0.813 PRAM900101 -0.814 - ROSM880101 -0.819 FASG890101 -0.849 GUYH850101 -0.856 - PUNT030101 -0.859 KUHL950101 -0.865 ROSM880102 -0.869 - RACS770102 -0.875 JANJ780103 -0.888 JANJ780101 -0.892 - MEIH800102 -0.894 OOBM770101 -0.902 GUYH850104 -0.907 - CHOC760102 -0.912 GUYH850105 -0.933 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.38 0.01 0.12 0.15 0.45 0.07 0.18 0.36 0.17 0.60 - 0.45 0.03 0.40 0.50 0.18 0.22 0.23 0.27 0.15 0.54 -// -H CHOC760104 -D Proportion of residues 100% buried (Chothia, 1976) -R PMID:994183 -A Chothia, C. -T The nature of the accessible and buried surfaces in proteins -J J. Mol. Biol. 105, 1-14 (1976) (normalized by the total number) -C CHOC760103 0.907 JANJ780102 0.903 KYTJ820101 0.889 - JANJ790101 0.886 OLSK800101 0.872 JURD980101 0.870 - WOLR810101 0.868 WOLR790101 0.851 PONP800104 0.844 - JANJ790102 0.835 DESM900102 0.824 NADH010102 0.817 - WARP780101 0.815 NADH010101 0.804 GUYH850105 -0.822 - CHOC760102 -0.845 GUYH850104 -0.845 JANJ780103 -0.851 - JANJ780101 -0.854 OOBM770101 -0.857 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.20 0.00 0.03 0.04 0.22 0.01 0.03 0.18 0.02 0.19 - 0.16 0.00 0.11 0.14 0.04 0.08 0.08 0.04 0.03 0.18 -// -H CHOP780101 -D Normalized frequency of beta-turn (Chou-Fasman, 1978a) -R PMID:354496 -A Chou, P.Y. and Fasman, G.D. -T Empirical predictions of protein conformation -J Ann. Rev. Biochem. 47, 251-276 (1978) -C PALJ810106 0.977 TANS770110 0.956 CHAM830101 0.946 - CHOP780203 0.940 CHOP780216 0.929 CHOP780210 0.921 - ROBB760113 0.907 GEIM800108 0.899 QIAN880133 0.897 - QIAN880132 0.896 LEVM780103 0.893 PRAM900104 0.891 - LEVM780106 0.890 ROBB760108 0.887 BEGF750103 0.885 - ISOY800103 0.885 CRAJ730103 0.882 GEIM800111 0.878 - PALJ810105 0.868 ROBB760110 0.863 NAGK730103 0.827 - QIAN880131 0.824 AURR980114 -0.803 BEGF750101 -0.803 - QIAN880107 -0.809 KANM800103 -0.824 AURR980109 -0.837 - SUEM840101 -0.845 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.66 0.95 1.56 1.46 1.19 0.98 0.74 1.56 0.95 0.47 - 0.59 1.01 0.60 0.60 1.52 1.43 0.96 0.96 1.14 0.50 -// -H CHOP780201 -D Normalized frequency of alpha-helix (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C PALJ810102 0.981 ROBB760101 0.969 ISOY800101 0.959 - MAXF760101 0.956 KANM800101 0.956 TANS770101 0.947 - BURA740101 0.917 GEIM800101 0.912 KANM800103 0.912 - NAGK730101 0.886 LEVM780104 0.886 PALJ810101 0.881 - QIAN880106 0.874 PRAM900102 0.873 LEVM780101 0.873 - GEIM800104 0.868 RACS820108 0.868 AURR980108 0.867 - AURR980109 0.859 AURR980112 0.856 CRAJ730101 0.851 - QIAN880107 0.843 BEGF750101 0.841 QIAN880105 0.835 - AURR980114 0.828 AURR980115 0.816 AURR980110 0.814 - PALJ810109 0.814 AURR980111 0.813 ROBB760103 0.806 - MUNV940101 -0.802 CRAJ730103 -0.808 ROBB760113 -0.811 - MUNV940102 -0.812 CHAM830101 -0.828 NAGK730103 -0.837 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.42 0.98 0.67 1.01 0.70 1.11 1.51 0.57 1.00 1.08 - 1.21 1.16 1.45 1.13 0.57 0.77 0.83 1.08 0.69 1.06 -// -H CHOP780202 -D Normalized frequency of beta-sheet (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C PALJ810104 0.970 LIFS790101 0.947 KANM800102 0.945 - PALJ810103 0.937 ROBB760106 0.931 LEVM780105 0.930 - GEIM800107 0.929 QIAN880120 0.915 PTIO830102 0.913 - QIAN880121 0.911 LIFS790103 0.908 GEIM800105 0.890 - ROBB760105 0.885 BASU050101 0.883 BASU050103 0.874 - PONP930101 0.867 NAGK730102 0.858 QIAN880119 0.855 - CHOP780208 0.851 BASU050102 0.841 KANM800104 0.839 - GEIM800106 0.839 LEVM780102 0.833 PRAM900103 0.833 - NISK860101 0.832 SWER830101 0.823 CORJ870102 0.822 - CHOP780209 0.822 CORJ870101 0.815 PALJ810112 0.815 - PONP800108 0.809 PALJ810110 0.808 MANP780101 0.805 - VENT840101 0.805 MIYS990102 -0.801 PUNT030102 -0.803 - VINM940102 -0.810 OOBM770103 -0.820 GEIM800110 -0.824 - MIYS990103 -0.825 MIYS990104 -0.829 VINM940101 -0.831 - MUNV940103 -0.892 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.83 0.93 0.89 0.54 1.19 1.10 0.37 0.75 0.87 1.60 - 1.30 0.74 1.05 1.38 0.55 0.75 1.19 1.37 1.47 1.70 -// -H CHOP780203 -D Normalized frequency of beta-turn (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C CHOP780216 0.979 CHOP780101 0.940 TANS770110 0.940 - LEVM780106 0.935 GEIM800111 0.933 ISOY800103 0.933 - CHAM830101 0.931 PRAM900104 0.928 QIAN880132 0.928 - LEVM780103 0.927 GEIM800108 0.925 CHOP780210 0.918 - QIAN880133 0.915 PALJ810106 0.907 PALJ810105 0.878 - QIAN880131 0.861 QIAN880134 0.838 RACS770101 0.827 - QIAN880135 0.811 CORJ870106 -0.813 QIAN880119 -0.814 - CORJ870105 -0.815 PONP800107 -0.818 SUEM840101 -0.892 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.74 1.01 1.46 1.52 0.96 0.96 0.95 1.56 0.95 0.47 - 0.50 1.19 0.60 0.66 1.56 1.43 0.98 0.60 1.14 0.59 -// -H CHOP780204 -D Normalized frequency of N-terminal helix (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C ROBB760102 0.911 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.29 0.44 0.81 2.02 0.66 1.22 2.44 0.76 0.73 0.67 - 0.58 0.66 0.71 0.61 2.01 0.74 1.08 1.47 0.68 0.61 -// -H CHOP780205 -D Normalized frequency of C-terminal helix (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C ROBB760104 0.841 QIAN880109 0.806 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.20 1.25 0.59 0.61 1.11 1.22 1.24 0.42 1.77 0.98 - 1.13 1.83 1.57 1.10 0.00 0.96 0.75 0.40 0.73 1.25 -// -H CHOP780206 -D Normalized frequency of N-terminal non helical region (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.70 0.34 1.42 0.98 0.65 0.75 1.04 1.41 1.22 0.78 - 0.85 1.01 0.83 0.93 1.10 1.55 1.09 0.62 0.99 0.75 -// -H CHOP780207 -D Normalized frequency of C-terminal non helical region (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.52 1.24 1.64 1.06 0.94 0.70 0.59 1.64 1.86 0.87 - 0.84 1.49 0.52 1.04 1.58 0.93 0.86 0.16 0.96 0.32 -// -H CHOP780208 -D Normalized frequency of N-terminal beta-sheet (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C NAGK730102 0.860 CHOP780202 0.851 ROBB760106 0.846 - LIFS790101 0.820 QIAN880119 0.807 KANM800102 0.804 - QIAN880120 0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.86 0.90 0.66 0.38 0.87 1.65 0.35 0.63 0.54 1.94 - 1.30 1.00 1.43 1.50 0.66 0.63 1.17 1.49 1.07 1.69 -// -H CHOP780209 -D Normalized frequency of C-terminal beta-sheet (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C PALJ810104 0.849 CHOP780202 0.822 VENT840101 0.817 - PTIO830102 0.814 QIAN880121 0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.75 0.90 1.21 0.85 1.11 0.65 0.55 0.74 0.90 1.35 - 1.27 0.74 0.95 1.50 0.40 0.79 0.75 1.19 1.96 1.79 -// -H CHOP780210 -D Normalized frequency of N-terminal non beta region (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C CHOP780101 0.921 CHOP780203 0.918 PALJ810106 0.905 - CHAM830101 0.905 CHOP780216 0.896 GEIM800108 0.896 - GEIM800111 0.867 TANS770110 0.858 QIAN880132 0.852 - LEVM780103 0.852 PRAM900104 0.850 ISOY800103 0.829 - QIAN880131 0.826 QIAN880133 0.820 NAGK730103 0.814 - LEVM780106 0.812 PALJ810105 0.803 RICJ880111 -0.804 - BEGF750101 -0.804 RICJ880107 -0.818 PONP800107 -0.820 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.67 0.89 1.86 1.39 1.34 1.09 0.92 1.46 0.78 0.59 - 0.46 1.09 0.52 0.30 1.58 1.41 1.09 0.48 1.23 0.42 -// -H CHOP780211 -D Normalized frequency of C-terminal non beta region (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C ROBB760112 0.841 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.74 1.05 1.13 1.32 0.53 0.77 0.85 1.68 0.96 0.53 - 0.59 0.82 0.85 0.44 1.69 1.49 1.16 1.59 1.01 0.59 -// -H CHOP780212 -D Frequency of the 1st residue in turn (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C PALJ810106 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.060 0.070 0.161 0.147 0.149 0.074 0.056 0.102 0.140 0.043 - 0.061 0.055 0.068 0.059 0.102 0.120 0.086 0.077 0.082 0.062 -// -H CHOP780213 -D Frequency of the 2nd residue in turn (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C TANS770104 0.954 ISOY800104 0.916 QIAN880134 0.870 - QIAN880135 0.851 MUNV940104 0.836 FINA910102 0.832 - MUNV940105 0.826 GEOR030109 0.800 BUNA790101 -0.822 - BLAM930101 -0.824 PTIO830101 -0.835 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.076 0.106 0.083 0.110 0.053 0.098 0.060 0.085 0.047 0.034 - 0.025 0.115 0.082 0.041 0.301 0.139 0.108 0.013 0.065 0.048 -// -H CHOP780214 -D Frequency of the 3rd residue in turn (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C ISOY800105 0.923 TANS770105 0.862 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.035 0.099 0.191 0.179 0.117 0.037 0.077 0.190 0.093 0.013 - 0.036 0.072 0.014 0.065 0.034 0.125 0.065 0.064 0.114 0.028 -// -H CHOP780215 -D Frequency of the 4th residue in turn (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C ROBB760111 0.825 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.058 0.085 0.091 0.081 0.128 0.098 0.064 0.152 0.054 0.056 - 0.070 0.095 0.055 0.065 0.068 0.106 0.079 0.167 0.125 0.053 -// -H CHOP780216 -D Normalized frequency of the 2nd and 3rd residues in turn (Chou-Fasman, 1978b) -R PMID:364941 -A Chou, P.Y. and Fasman, G.D. -T Prediction of the secondary structure of proteins from their amino acid - sequence -J Adv. Enzymol. 47, 45-148 (1978) -C CHOP780203 0.979 GEIM800111 0.955 LEVM780106 0.953 - LEVM780103 0.952 PRAM900104 0.951 CHAM830101 0.942 - GEIM800108 0.942 QIAN880133 0.939 QIAN880132 0.931 - TANS770110 0.930 CHOP780101 0.929 ISOY800103 0.921 - PALJ810106 0.904 QIAN880134 0.900 CHOP780210 0.896 - QIAN880135 0.884 PALJ810105 0.881 QIAN880131 0.873 - NAGK730103 0.819 QIAN880120 -0.800 CORJ870106 -0.803 - FAUJ880102 -0.807 KANM800103 -0.808 QIAN880107 -0.808 - ROBB760103 -0.841 PTIO830101 -0.855 SUEM840101 -0.874 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.64 1.05 1.56 1.61 0.92 0.84 0.80 1.63 0.77 0.29 - 0.36 1.13 0.51 0.62 2.04 1.52 0.98 0.48 1.08 0.43 -// -H CIDH920101 -D Normalized hydrophobicity scales for alpha-proteins (Cid et al., 1992) -R PMID:1518784 -A Cid, H., Bunster, M., Canales, M. and Gazitua, F. -T Hydrophobicity and structural classes in proteins -J Protein Engineering 5, 373-375 (1992) -C CIDH920102 0.921 CIDH920105 0.921 NISK860101 0.882 - WERD780101 0.878 CIDH920103 0.872 RADA880108 0.858 - BASU050102 0.858 ZHOH040101 0.855 CORJ870102 0.855 - SWER830101 0.853 BIOV880101 0.847 ROBB790101 0.846 - ZHOH040103 0.845 CORJ870107 0.843 MIYS850101 0.843 - PLIV810101 0.843 CORJ870104 0.840 BASU050101 0.839 - CIDH920104 0.833 CORJ870106 0.832 ROSG850101 0.831 - CORJ870105 0.828 BASU050103 0.828 LEVM760106 0.826 - CORJ870103 0.825 BIOV880102 0.819 ZHOH040102 0.811 - PONP800101 0.805 VINM940103 -0.814 OOBM770103 -0.818 - KARP850102 -0.828 RACS770101 -0.837 MIYS990103 -0.838 - GUYH850102 -0.843 CORJ870108 -0.845 MIYS990102 -0.846 - MIYS990101 -0.847 MIYS990105 -0.849 VINM940101 -0.854 - FUKS010103 -0.854 GUYH850103 -0.854 MIYS990104 -0.860 - MEIH800101 -0.863 KARP850101 -0.864 PARJ860101 -0.871 - PARS000101 -0.877 VINM940102 -0.885 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.45 -0.24 -0.20 -1.52 0.79 -0.99 -0.80 -1.00 1.07 0.76 - 1.29 -0.36 1.37 1.48 -0.12 -0.98 -0.70 1.38 1.49 1.26 -// -H CIDH920102 -D Normalized hydrophobicity scales for beta-proteins (Cid et al., 1992) -R PMID:1518784 -A Cid, H., Bunster, M., Canales, M. and Gazitua, F. -T Hydrophobicity and structural classes in proteins -J Protein Engineering 5, 373-375 (1992) -C CIDH920105 0.969 ZHOH040101 0.939 CIDH920101 0.921 - BASU050102 0.914 CIDH920103 0.911 ZHOH040103 0.909 - CIDH920104 0.904 NISK860101 0.897 ROBB790101 0.896 - NOZY710101 0.889 MEEJ810101 0.887 PLIV810101 0.877 - LEVM760106 0.873 MIYS850101 0.873 CORJ870102 0.872 - WERD780101 0.871 SWER830101 0.870 ROSG850101 0.866 - BIOV880101 0.864 ZHOH040102 0.862 RADA880102 0.862 - ARGP820101 0.862 JOND750101 0.861 ROSM880104 0.859 - TAKK010101 0.859 BASU050101 0.858 MEEJ800102 0.856 - FAUJ830101 0.856 BASU050103 0.856 MEEJ810102 0.843 - BIOV880102 0.837 WIMW960101 0.837 RADA880108 0.833 - SIMZ760101 0.832 GUOD860101 0.831 GOLD730101 0.829 - PONP930101 0.820 EISD860101 0.819 ZASB820101 0.809 - LIFS790101 0.808 BLAS910101 0.805 CASG920101 0.802 - RACS770101 -0.825 VINM940103 -0.826 FUKS010103 -0.826 - GRAR740102 -0.842 MIYS990103 -0.845 BULH740101 -0.851 - GUYH850102 -0.855 MIYS990105 -0.859 MEIH800101 -0.867 - WOLS870101 -0.869 MIYS990102 -0.870 PARS000101 -0.871 - VINM940101 -0.872 MIYS990101 -0.872 KARP850101 -0.873 - MIYS990104 -0.877 OOBM770103 -0.877 GUYH850103 -0.904 - VINM940102 -0.925 PARJ860101 -0.930 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.08 -0.09 -0.70 -0.71 0.76 -0.40 -1.31 -0.84 0.43 1.39 - 1.24 -0.09 1.27 1.53 -0.01 -0.93 -0.59 2.25 1.53 1.09 -// -H CIDH920103 -D Normalized hydrophobicity scales for alpha+beta-proteins (Cid et al., 1992) -R PMID:1518784 -A Cid, H., Bunster, M., Canales, M. and Gazitua, F. -T Hydrophobicity and structural classes in proteins -J Protein Engineering 5, 373-375 (1992) -C CIDH920105 0.973 CIDH920104 0.955 CIDH920102 0.911 - NISK860101 0.909 MIYS850101 0.906 MANP780101 0.905 - PLIV810101 0.899 PONP930101 0.899 BASU050103 0.894 - BASU050101 0.894 RADA880108 0.891 BIOV880101 0.887 - BASU050102 0.887 ROBB790101 0.884 WERD780101 0.881 - ZHOH040103 0.881 PONP800101 0.876 CIDH920101 0.872 - FAUJ830101 0.868 CORJ870107 0.866 ROSM880104 0.866 - SWER830101 0.865 CORJ870102 0.864 BIOV880102 0.860 - CORJ870104 0.857 CORJ870103 0.856 NISK800101 0.855 - PONP800102 0.849 ROSG850102 0.846 GUOD860101 0.845 - PONP800108 0.841 BLAS910101 0.838 MEEJ810101 0.837 - CORJ870106 0.837 PONP800107 0.833 ROSM880105 0.832 - CORJ870105 0.832 ZHOH040101 0.829 CASG920101 0.827 - ARGP820101 0.827 JOND750101 0.826 PONP800103 0.823 - CORJ870101 0.822 EISD860101 0.821 RADA880102 0.819 - LIFS790101 0.815 PTIO830102 0.807 MEIH800103 0.802 - FUKS010103 -0.804 PUNT030102 -0.810 KRIW790101 -0.819 - PUNT030101 -0.819 PARS000101 -0.821 MEIH800102 -0.825 - RACS770102 -0.834 VINM940101 -0.837 FASG890101 -0.846 - BULH740101 -0.848 KARP850102 -0.852 VINM940102 -0.855 - OOBM770103 -0.863 CORJ870108 -0.864 MIYS990103 -0.870 - GRAR740102 -0.871 GUYH850102 -0.871 MIYS990105 -0.876 - WOLS870101 -0.879 RACS770101 -0.881 MIYS990104 -0.883 - GUYH850103 -0.890 MIYS990102 -0.899 MIYS990101 -0.900 - MEIH800101 -0.905 PARJ860101 -0.916 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.36 -0.52 -0.90 -1.09 0.70 -1.05 -0.83 -0.82 0.16 2.17 - 1.18 -0.56 1.21 1.01 -0.06 -0.60 -1.20 1.31 1.05 1.21 -// -H CIDH920104 -D Normalized hydrophobicity scales for alpha/beta-proteins (Cid et al., 1992) -R PMID:1518784 -A Cid, H., Bunster, M., Canales, M. and Gazitua, F. -T Hydrophobicity and structural classes in proteins -J Protein Engineering 5, 373-375 (1992) -C CIDH920105 0.970 CIDH920103 0.955 NISK860101 0.944 - ZHOH040103 0.941 BASU050103 0.941 BASU050102 0.934 - BIOV880101 0.933 PONP930101 0.930 FAUJ830101 0.922 - MANP780101 0.918 BASU050101 0.917 MIYS850101 0.915 - RADA880108 0.914 PONP800108 0.909 CIDH920102 0.904 - ROBB790101 0.903 CASG920101 0.903 NISK800101 0.900 - ROSG850102 0.896 CORJ870101 0.896 WERD780101 0.896 - PLIV810101 0.893 BIOV880102 0.890 PONP800101 0.888 - NADH010104 0.888 NADH010103 0.885 BLAS910101 0.881 - PONP800102 0.880 MEEJ810101 0.878 NADH010105 0.869 - NADH010101 0.865 PONP800103 0.863 SWER830101 0.862 - ROSM880104 0.860 CORJ870102 0.860 GUOD860101 0.860 - ZHOH040101 0.858 NADH010102 0.856 ROSM880105 0.855 - MEIH800103 0.853 PTIO830102 0.842 CORJ870103 0.841 - MEEJ810102 0.837 CORJ870107 0.835 EISD860103 0.834 - CIDH920101 0.833 PONP800107 0.832 JURD980101 0.832 - CORJ870104 0.832 LIFS790101 0.832 KYTJ820101 0.824 - ARGP820101 0.819 JOND750101 0.818 RADA880102 0.817 - EISD860101 0.812 BAEK050101 0.809 JANJ780102 0.803 - COWR900101 0.803 DESM900102 0.802 KARP850101 -0.801 - GUYH850101 -0.821 KUHL950101 -0.822 WOEC730101 -0.823 - PUNT030101 -0.827 ROSM880101 -0.828 BULH740101 -0.829 - CORJ870108 -0.829 ROSM880102 -0.831 KARP850102 -0.833 - VINM940103 -0.835 KIDA850101 -0.836 RACS770102 -0.854 - PUNT030102 -0.857 RACS770101 -0.864 KRIW790101 -0.867 - MEIH800102 -0.868 VINM940101 -0.883 VINM940102 -0.884 - WOLS870101 -0.891 GUYH850102 -0.894 MIYS990103 -0.902 - FASG890101 -0.903 GUYH850103 -0.906 OOBM770103 -0.912 - PARJ860101 -0.913 GRAR740102 -0.915 MIYS990101 -0.915 - MIYS990102 -0.916 MIYS990104 -0.916 MIYS990105 -0.916 - MEIH800101 -0.917 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.17 -0.70 -0.90 -1.05 1.24 -1.20 -1.19 -0.57 -0.25 2.06 - 0.96 -0.62 0.60 1.29 -0.21 -0.83 -0.62 1.51 0.66 1.21 -// -H CIDH920105 -D Normalized average hydrophobicity scales (Cid et al., 1992) -R PMID:1518784 -A Cid, H., Bunster, M., Canales, M. and Gazitua, F. -T Hydrophobicity and structural classes in proteins -J Protein Engineering 5, 373-375 (1992) -C CIDH920103 0.973 CIDH920104 0.970 CIDH920102 0.969 - NISK860101 0.938 BASU050102 0.931 ZHOH040103 0.926 - ROBB790101 0.921 CIDH920101 0.921 MIYS850101 0.916 - BASU050103 0.914 PLIV810101 0.914 BIOV880101 0.912 - BASU050101 0.907 WERD780101 0.905 ZHOH040101 0.904 - RADA880108 0.898 FAUJ830101 0.893 MEEJ810101 0.892 - PONP930101 0.891 SWER830101 0.890 CORJ870102 0.890 - ROSM880104 0.886 BIOV880102 0.882 MANP780101 0.879 - ARGP820101 0.867 JOND750101 0.866 RADA880102 0.861 - CASG920101 0.859 GUOD860101 0.858 ROSG850102 0.858 - NOZY710101 0.857 PONP800101 0.856 NISK800101 0.854 - BLAS910101 0.852 CORJ870107 0.848 MEEJ810102 0.844 - PONP800108 0.843 ROSM880105 0.843 MEEJ800102 0.840 - TAKK010101 0.840 EISD860101 0.839 CORJ870104 0.838 - CORJ870103 0.838 SIMZ760101 0.837 PONP800102 0.831 - LIFS790101 0.828 LEVM760106 0.828 CORJ870101 0.827 - CORJ870106 0.826 CORJ870105 0.822 GOLD730101 0.820 - ZHOH040102 0.818 PONP800107 0.818 NADH010104 0.817 - PTIO830102 0.813 VENT840101 0.813 NADH010103 0.810 - PONP800103 0.807 MEIH800103 0.804 NADH010105 0.800 - WOEC730101 -0.800 KIDA850101 -0.803 PUNT030101 -0.805 - KRIW790101 -0.816 FUKS010103 -0.821 PUNT030102 -0.822 - MEIH800102 -0.826 RACS770102 -0.830 VINM940103 -0.832 - KARP850102 -0.839 CORJ870108 -0.843 FASG890101 -0.860 - PARS000101 -0.860 KARP850101 -0.866 BULH740101 -0.871 - GRAR740102 -0.884 VINM940101 -0.885 MIYS990103 -0.886 - RACS770101 -0.887 GUYH850102 -0.892 WOLS870101 -0.899 - MIYS990105 -0.901 OOBM770103 -0.904 MIYS990104 -0.908 - VINM940102 -0.910 MIYS990102 -0.915 MIYS990101 -0.916 - MEIH800101 -0.923 GUYH850103 -0.927 PARJ860101 -0.948 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.02 -0.42 -0.77 -1.04 0.77 -1.10 -1.14 -0.80 0.26 1.81 - 1.14 -0.41 1.00 1.35 -0.09 -0.97 -0.77 1.71 1.11 1.13 -// -H COHE430101 -D Partial specific volume (Cohn-Edsall, 1943) -R -A Cohn, E.J. and Edsall, J.T. -T -J "Protein, Amino Acid, and Peptides", Reinhold, New York (1943) -C BULH740102 0.923 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.75 0.70 0.61 0.60 0.61 0.67 0.66 0.64 0.67 0.90 - 0.90 0.82 0.75 0.77 0.76 0.68 0.70 0.74 0.71 0.86 -// -H CRAJ730101 -D Normalized frequency of middle helix (Crawford et al., 1973) -R PMID:4510294 -A Crawford, J.L., Lipscomb, W.N. and Schellman, C.G. -T The reverse turn as a polypeptide conformation in globular proteins -J Proc. Natl. Acad. Sci. USA 70, 538-542 (1973) Reported values normalized by - the total percentage -C NAGK730101 0.925 BURA740101 0.900 PALJ810101 0.891 - PRAM900102 0.887 LEVM780101 0.887 ROBB760101 0.875 - PALJ810102 0.872 GEIM800101 0.870 LEVM780104 0.869 - CHOP780201 0.851 TANS770101 0.843 KANM800101 0.842 - ISOY800101 0.840 RACS820108 0.839 GEIM800104 0.838 - MAXF760101 0.826 PALJ810109 0.811 NAGK730103 -0.850 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.33 0.79 0.72 0.97 0.93 1.42 1.66 0.58 1.49 0.99 - 1.29 1.03 1.40 1.15 0.49 0.83 0.94 1.33 0.49 0.96 -// -H CRAJ730102 -D Normalized frequency of beta-sheet (Crawford et al., 1973) -R PMID:4510294 -A Crawford, J.L., Lipscomb, W.N. and Schellman, C.G. -T The reverse turn as a polypeptide conformation in globular proteins -J Proc. Natl. Acad. Sci. USA 70, 538-542 (1973) Reported values normalized by - the total percentage -C ROBB760106 0.865 PTIO830102 0.820 PALJ810104 0.817 - NAGK730102 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 0.74 0.75 0.89 0.99 0.87 0.37 0.56 0.36 1.75 - 1.53 1.18 1.40 1.26 0.36 0.65 1.15 0.84 1.41 1.61 -// -H CRAJ730103 -D Normalized frequency of turn (Crawford et al., 1973) -R PMID:4510294 -A Crawford, J.L., Lipscomb, W.N. and Schellman, C.G. -T The reverse turn as a polypeptide conformation in globular proteins -J Proc. Natl. Acad. Sci. USA 70, 538-542 (1973) Reported values normalized by - the total percentage -C ROBB760113 0.916 ROBB760108 0.912 ROBB760110 0.887 - PALJ810106 0.884 CHOP780101 0.882 BEGF750103 0.874 - TANS770110 0.859 CHAM830101 0.821 CHOP780201 -0.808 - PALJ810102 -0.809 BEGF750101 -0.812 QIAN880107 -0.840 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.60 0.79 1.42 1.24 1.29 0.92 0.64 1.38 0.95 0.67 - 0.70 1.10 0.67 1.05 1.47 1.26 1.05 1.23 1.35 0.48 -// -H DAWD720101 -D Size (Dawson, 1972) -R -A Dawson, D.M. -T -J In "The Biochemical Genetics of Man" (Brock, D.J.H. and Mayo, O., eds.), - Academic Press, New York, pp.1-38 (1972) -C TSAJ990102 0.905 GOLD730102 0.904 TSAJ990101 0.903 - BIGC670101 0.903 CHOC750101 0.901 CHOC760101 0.901 - HARY940101 0.900 LEVM760105 0.898 KRIW790103 0.893 - FAUJ880103 0.880 PONJ960101 0.873 LEVM760102 0.873 - CHAM820101 0.865 FAUJ880106 0.853 GRAR740103 0.853 - FASG760101 0.833 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.5 7.5 5.0 2.5 3.0 6.0 5.0 0.5 6.0 5.5 - 5.5 7.0 6.0 6.5 5.5 3.0 5.0 7.0 7.0 5.0 -// -H DAYM780101 -D Amino acid composition (Dayhoff et al., 1978a) -R -A Dayhoff, M.O., Hunt, L.T. and Hurst-Calderone, S. -T Composition of proteins -J In "Atlas of Protein Sequence and Structure", Vol.5, Suppl.3 (Dayhoff, M.O., - ed.), National Biomedical Research Foundation, Washington, D.C., p.363 (1978) -C JUNJ780101 0.986 JUKT750101 0.975 CEDJ970101 0.970 - JOND920101 0.954 CEDJ970104 0.952 CEDJ970102 0.945 - NAKH900101 0.940 KUMS000102 0.925 FUKS010110 0.897 - NAKH900102 0.883 FUKS010111 0.882 NAKH920101 0.882 - KUMS000101 0.866 NAKH920107 0.861 FUKS010112 0.856 - NAKH920106 0.856 NAKH920103 0.851 CEDJ970105 0.839 - NAKH920104 0.819 CEDJ970103 0.807 NAKH920102 0.802 - FUKS010109 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.6 4.9 4.3 5.5 2.9 3.9 6.0 8.4 2.0 4.5 - 7.4 6.6 1.7 3.6 5.2 7.0 6.1 1.3 3.4 6.6 -// -H DAYM780201 -D Relative mutability (Dayhoff et al., 1978b) -R -A Dayhoff, M.O., Schwartz, R.M. and Orcutt, B.C. -T A model of evolutionary change in proteins -J In "Atlas of Protein Sequence and Structure", Vol.5, Suppl.3 (Dayhoff, M.O., - ed.), National Biomedical Research Foundation, Washington, D.C. pp. 345-352 - (1978) -C JOND920102 0.889 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 100. 65. 134. 106. 20. 93. 102. 49. 66. 96. - 40. 56. 94. 41. 56. 120. 97. 18. 41. 74. -// -H DESM900101 -D Membrane preference for cytochrome b: MPH89 (Degli Esposti et al., 1990) -R PMID:2364947 -A Degli Esposti, M., Crimi, M. and Venturoli, G. -T A critical evaluation of the hydropathy profile of membrane proteins -J Eur. J. Biochem. 190, 207-219 (1990) -C DESM900102 0.955 PONP800103 0.887 NADH010102 0.885 - PONP800102 0.871 CORJ870101 0.870 NADH010103 0.866 - ROSG850102 0.866 WARP780101 0.864 JANJ780102 0.853 - MEIH800103 0.853 PONP800101 0.847 NADH010104 0.843 - KYTJ820101 0.837 NISK800101 0.837 JURD980101 0.829 - NADH010101 0.825 BIOV880102 0.821 JANJ790102 0.818 - CORJ870107 0.815 CORJ870103 0.812 RADA880108 0.812 - BIOV880101 0.807 PONP930101 0.807 CASG920101 0.806 - PUNT030102 -0.801 RACS770102 -0.801 VINM940101 -0.806 - KRIW710101 -0.807 FASG890101 -0.808 CORJ870108 -0.809 - MEIH800102 -0.822 GUYH850104 -0.824 PUNT030101 -0.828 - MIYS990104 -0.828 KARP850102 -0.829 GUYH850101 -0.831 - MIYS990105 -0.832 KRIW790102 -0.835 RACS770103 -0.837 - JANJ780103 -0.838 KRIW790101 -0.847 MONM990101 -0.848 - MIYS990103 -0.854 OOBM770101 -0.894 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.56 0.59 0.51 0.23 1.80 0.39 0.19 1.03 1. 1.27 - 1.38 0.15 1.93 1.42 0.27 0.96 1.11 0.91 1.10 1.58 -// -H DESM900102 -D Average membrane preference: AMP07 (Degli Esposti et al., 1990) -R PMID:2364947 -A Degli Esposti, M., Crimi, M. and Venturoli, G. -T A critical evaluation of the hydropathy profile of membrane proteins -J Eur. J. Biochem. 190, 207-219 (1990) -C DESM900101 0.955 JANJ780102 0.935 NADH010102 0.933 - MEIH800103 0.924 ROSG850102 0.914 NADH010103 0.910 - NADH010101 0.905 CORJ870101 0.901 JURD980101 0.900 - KYTJ820101 0.898 JANJ790102 0.897 PONP800103 0.896 - NADH010104 0.886 WARP780101 0.882 RADA880108 0.881 - PONP800102 0.880 BIOV880101 0.878 CHOC760103 0.877 - BIOV880102 0.876 CASG920101 0.869 PONP800101 0.858 - JANJ790101 0.855 NISK800101 0.852 OLSK800101 0.849 - EISD860103 0.848 NISK860101 0.843 PONP930101 0.834 - PONP800108 0.833 MIYS850101 0.831 RADA880101 0.828 - EISD840101 0.828 ROSM880105 0.825 CHOC760104 0.824 - CORJ870107 0.819 BASU050103 0.818 MANP780101 0.816 - NADH010105 0.816 FAUJ830101 0.816 CORJ870103 0.815 - WERD780101 0.814 CIDH920104 0.802 VINM940104 -0.803 - MEIH800101 -0.804 MIYS990101 -0.809 CORJ870108 -0.811 - MIYS990102 -0.811 ROSM880101 -0.812 KARP850102 -0.815 - ROSM880102 -0.816 GUYH850105 -0.818 CHOC760102 -0.823 - VINM940103 -0.824 VINM940101 -0.829 WOEC730101 -0.847 - MONM990101 -0.850 KRIW790102 -0.852 MIYS990104 -0.854 - KRIW790101 -0.859 GRAR740102 -0.862 KUHL950101 -0.863 - RACS770102 -0.867 PUNT030102 -0.868 RACS770103 -0.868 - MIYS990105 -0.875 MIYS990103 -0.876 JANJ780101 -0.878 - FASG890101 -0.879 PRAM900101 -0.890 ENGD860101 -0.890 - GUYH850101 -0.895 GUYH850104 -0.896 MEIH800102 -0.898 - PUNT030101 -0.903 JANJ780103 -0.908 OOBM770101 -0.950 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.26 0.38 0.59 0.27 1.60 0.39 0.23 1.08 1. 1.44 - 1.36 0.33 1.52 1.46 0.54 0.98 1.01 1.06 0.89 1.33 -// -H EISD840101 -D Consensus normalized hydrophobicity scale (Eisenberg, 1984) -R PMID:6383201 -A Eisenberg, D. -T Three-dimensional structure of membrane and surface proteins -J Ann. Rev. Biochem. 53, 595-623 (1984) Original references: Eisenberg, D., - Weiss, R.M., Terwilliger, T.C. and Wilcox, W. Faraday Symp. Chem. Soc. 17, - 109-120 (1982) Eisenberg, D., Weiss, R.M. and Terwilliger, T.C. The - hydrophobic moment detects periodicity in protein hydrophobicity Proc. Natl. - Acad. Sci. USA 81, 140-144 (1984) -C RADA880101 0.968 JACR890101 0.938 RADA880107 0.927 - ROSM880105 0.923 WOLR810101 0.914 WOLR790101 0.909 - RADA880104 0.908 JANJ790102 0.900 JURD980101 0.895 - NADH010102 0.887 CHOC760103 0.885 BLAS910101 0.884 - EISD860101 0.884 KYTJ820101 0.878 FAUJ830101 0.875 - JANJ780102 0.874 OLSK800101 0.869 COWR900101 0.863 - NADH010101 0.861 NADH010103 0.840 NAKH900110 0.838 - EISD860103 0.837 DESM900102 0.828 RADA880108 0.817 - BIOV880102 0.814 BIOV880101 0.811 YUTK870101 0.809 - NADH010104 0.809 ROSG850102 0.806 BASU050103 0.806 - WOLS870101 -0.820 GRAR740102 -0.823 MEIH800102 -0.829 - HOPT810101 -0.846 GUYH850101 -0.849 PUNT030102 -0.854 - LEVM760101 -0.859 OOBM770101 -0.878 JANJ780103 -0.881 - FAUJ880109 -0.890 GUYH850104 -0.892 CHOC760102 -0.892 - KIDA850101 -0.900 JANJ780101 -0.907 KUHL950101 -0.907 - PUNT030101 -0.914 VHEG790101 -0.924 ROSM880102 -0.925 - ENGD860101 -0.936 PRAM900101 -0.936 ROSM880101 -0.947 - GUYH850105 -0.951 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.25 -1.76 -0.64 -0.72 0.04 -0.69 -0.62 0.16 -0.40 0.73 - 0.53 -1.10 0.26 0.61 -0.07 -0.26 -0.18 0.37 0.02 0.54 -// -H EISD860101 -D Solvation free energy (Eisenberg-McLachlan, 1986) -R PMID: 3945310 -A Eisenberg, D. and McLachlan, A.D. -T Solvation energy in protein folding and binding -J Nature 319, 199-203 (1986) -C ROSM880105 0.948 FAUJ830101 0.919 RADA880102 0.912 - BLAS910101 0.911 PLIV810101 0.904 ZIMJ680105 0.900 - RADA880101 0.891 MEEJ800102 0.890 EISD840101 0.884 - RADA880108 0.844 MIYS850101 0.842 GUOD860101 0.839 - CIDH920105 0.839 BIOV880102 0.832 BIOV880101 0.828 - JACR890101 0.827 SWER830101 0.824 CORJ870102 0.822 - NOZY710101 0.822 CIDH920103 0.821 NAKH900110 0.820 - CIDH920102 0.819 CIDH920104 0.812 NAKH900104 0.812 - NAKH900106 0.812 BASU050103 0.809 MEEJ810102 0.808 - MEEJ810101 0.805 GUYH850101 -0.823 MIYS990102 -0.824 - MIYS990101 -0.827 BULH740101 -0.833 KUHL950101 -0.835 - WOEC730101 -0.838 PRAM900101 -0.862 ENGD860101 -0.862 - VHEG790101 -0.862 ROSM880102 -0.868 PUNT030102 -0.869 - GRAR740102 -0.871 PARJ860101 -0.876 KIDA850101 -0.890 - PUNT030101 -0.890 HOPT810101 -0.905 ROSM880101 -0.917 - WOLS870101 -0.918 LEVM760101 -0.921 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.67 -2.1 -0.6 -1.2 0.38 -0.22 -0.76 0. 0.64 1.9 - 1.9 -0.57 2.4 2.3 1.2 0.01 0.52 2.6 1.6 1.5 -// -H EISD860102 -D Atom-based hydrophobic moment (Eisenberg-McLachlan, 1986) -R PMID: 3945310 -A Eisenberg, D. and McLachlan, A.D. -T Solvation energy in protein folding and binding -J Nature 319, 199-203 (1986) -C FAUJ880109 0.841 HUTJ700103 0.841 RADA880107 -0.837 - YUTK870103 -0.839 YUTK870104 -0.840 JACR890101 -0.871 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 10. 1.3 1.9 0.17 1.9 3. 0. 0.99 1.2 - 1.0 5.7 1.9 1.1 0.18 0.73 1.5 1.6 1.8 0.48 -// -H EISD860103 -D Direction of hydrophobic moment (Eisenberg-McLachlan, 1986) -R PMID: 3945310 -A Eisenberg, D. and McLachlan, A.D. -T Solvation energy in protein folding and binding -J Nature 319, 199-203 (1986) (Gly Ala missing) -C JURD980101 0.901 KYTJ820101 0.897 CHOC760103 0.892 - JANJ780102 0.883 OLSK800101 0.881 FAUJ830101 0.876 - RADA880108 0.873 NADH010102 0.872 MEIH800103 0.870 - NADH010101 0.868 COWR900101 0.868 BIOV880101 0.864 - MIYS850101 0.858 NADH010103 0.855 PLIV810101 0.852 - RADA880101 0.850 DESM900102 0.848 ROSG850102 0.846 - BIOV880102 0.845 PONP800103 0.842 NADH010104 0.840 - JANJ790102 0.838 EISD840101 0.837 CIDH920104 0.834 - BLAS910101 0.830 JANJ790101 0.829 MANP780101 0.826 - WARP780101 0.820 PONP800102 0.814 RADA880107 0.812 - NISK860101 0.811 ARGP820103 0.810 PONP800108 0.809 - CORJ870101 0.809 BASU050103 0.806 ROSM880105 0.801 - CHOC760102 -0.802 WOEC730101 -0.803 JANJ780101 -0.808 - MEIH800101 -0.810 GUYH850105 -0.812 MIYS990105 -0.815 - FAUJ880110 -0.815 JANJ780103 -0.819 PUNT030101 -0.829 - MIYS990101 -0.829 ENGD860101 -0.831 PRAM900101 -0.831 - MIYS990102 -0.831 GUYH850101 -0.832 KIDA850101 -0.832 - GUYH850104 -0.835 WOLS870101 -0.841 PUNT030102 -0.853 - RACS770102 -0.858 FASG890101 -0.863 ROSM880101 -0.871 - GRAR740102 -0.871 OOBM770101 -0.880 MEIH800102 -0.882 - KUHL950101 -0.894 ROSM880102 -0.943 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. -0.96 -0.86 -0.98 0.76 -1.0 -0.89 0. -0.75 0.99 - 0.89 -0.99 0.94 0.92 0.22 -0.67 0.09 0.67 -0.93 0.84 -// -H FASG760101 -D Molecular weight (Fasman, 1976) -R -A Fasman, G.D., ed. -T -J "Handbook of Biochemistry and Molecular Biology", 3rd ed., Proteins - Volume - 1, CRC Press, Cleveland (1976) -C FAUJ880103 0.979 CHOC760101 0.978 LEVM760102 0.966 - CHAM820101 0.962 CHOC750101 0.956 LEVM760105 0.951 - PONJ960101 0.945 CHAM830106 0.943 TSAJ990102 0.940 - TSAJ990101 0.935 BIGC670101 0.919 GOLD730102 0.918 - KRIW790103 0.910 HARY940101 0.910 GRAR740103 0.908 - FAUJ880106 0.899 RADA880106 0.870 WOLS870102 0.866 - MCMT640101 0.845 CHAM830105 0.839 ROSG850101 0.838 - DAWD720101 0.833 FAUJ880104 0.825 OOBM770102 0.821 - LEVM760107 0.815 RADA880103 -0.954 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 89.09 174.20 132.12 133.10 121.15 146.15 147.13 75.07 155.16 131.17 - 131.17 146.19 149.21 165.19 115.13 105.09 119.12 204.24 181.19 117.15 -// -H FASG760102 -D Melting point (Fasman, 1976) -R -A Fasman, G.D., ed. -T -J "Handbook of Biochemistry and Molecular Biology", 3rd ed., Proteins - Volume - 1, CRC Press, Cleveland (1976) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 297. 238. 236. 270. 178. 185. 249. 290. 277. 284. - 337. 224. 283. 284. 222. 228. 253. 282. 344. 293. -// -H FASG760103 -D Optical rotation (Fasman, 1976) -R -A Fasman, G.D., ed. -T -J "Handbook of Biochemistry and Molecular Biology", 3rd ed., Proteins - Volume - 1, CRC Press, Cleveland (1976) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.80 12.50 -5.60 5.05 -16.50 6.30 12.00 0.00 -38.50 12.40 - -11.00 14.60 -10.00 -34.50 -86.20 -7.50 -28.00 -33.70 -10.00 5.63 -// -H FASG760104 -D pK-N (Fasman, 1976) -R -A Fasman, G.D., ed. -T -J "Handbook of Biochemistry and Molecular Biology", 3rd ed., Proteins - Volume - 1, CRC Press, Cleveland (1976) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.69 8.99 8.80 9.60 8.35 9.13 9.67 9.78 9.17 9.68 - 9.60 9.18 9.21 9.18 10.64 9.21 9.10 9.44 9.11 9.62 -// -H FASG760105 -D pK-C (Fasman, 1976) -R -A Fasman, G.D., ed. -T -J "Handbook of Biochemistry and Molecular Biology", 3rd ed., Proteins - Volume - 1, CRC Press, Cleveland (1976) -C JOND750102 0.833 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.34 1.82 2.02 1.88 1.92 2.17 2.10 2.35 1.82 2.36 - 2.36 2.16 2.28 2.16 1.95 2.19 2.09 2.43 2.20 2.32 -// -H FAUJ830101 -D Hydrophobic parameter pi (Fauchere-Pliska, 1983) -R -A Fauchere, J.L. and Pliska, V. -T Hydrophobic parameters pi of amino-acid side chains from the partitioning of - N-acetyl-amino-acid amides -J Eur. J. Med. Chem. 18, 369-375 (1983) -C BIOV880101 0.942 ROSM880105 0.937 ZHOH040103 0.933 - RADA880108 0.932 PLIV810101 0.931 BLAS910101 0.923 - CIDH920104 0.922 EISD860101 0.919 MIYS850101 0.914 - BIOV880102 0.911 NISK860101 0.906 ROSG850102 0.904 - BASU050103 0.903 MEEJ810101 0.902 GUOD860101 0.900 - NADH010103 0.899 NADH010104 0.894 CIDH920105 0.893 - NADH010102 0.891 MEEJ810102 0.890 BASU050102 0.885 - COWR900101 0.876 EISD860103 0.876 CASG920101 0.875 - EISD840101 0.875 PONP800108 0.875 RADA880101 0.873 - ROBB790101 0.868 CIDH920103 0.868 PONP800103 0.863 - WERD780101 0.862 MEEJ800102 0.858 CIDH920102 0.856 - BASU050101 0.852 NISK800101 0.849 MEIH800103 0.849 - RADA880102 0.846 CORJ870101 0.845 MANP780101 0.843 - PONP930101 0.843 PONP800102 0.841 ZHOH040101 0.841 - NADH010101 0.837 SWER830101 0.833 JURD980101 0.833 - CORJ870102 0.831 JANJ790102 0.826 JANJ780102 0.825 - NADH010105 0.822 PONP800101 0.822 ZIMJ680105 0.816 - DESM900102 0.816 KYTJ820101 0.811 NOZY710101 0.803 - VINM940103 -0.804 FUKS010102 -0.805 GUYH850104 -0.816 - BULH740101 -0.830 OOBM770101 -0.832 FUKS010104 -0.832 - RACS770102 -0.843 VINM940102 -0.844 PRAM900101 -0.853 - ENGD860101 -0.853 GUYH850102 -0.857 GUYH850101 -0.863 - MEIH800101 -0.863 KUHL950101 -0.863 KRIW790101 -0.865 - GUYH850103 -0.870 VINM940101 -0.871 MEIH800102 -0.875 - PUNT030101 -0.876 WOEC730101 -0.880 MIYS990103 -0.893 - OOBM770103 -0.899 MIYS990104 -0.906 PARJ860101 -0.907 - ROSM880101 -0.907 MIYS990101 -0.907 PUNT030102 -0.908 - MIYS990102 -0.908 HOPT810101 -0.909 FASG890101 -0.911 - LEVM760101 -0.919 MIYS990105 -0.920 ROSM880102 -0.927 - WOLS870101 -0.928 KIDA850101 -0.946 GRAR740102 -0.948 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.31 -1.01 -0.60 -0.77 1.54 -0.22 -0.64 0.00 0.13 1.80 - 1.70 -0.99 1.23 1.79 0.72 -0.04 0.26 2.25 0.96 1.22 -// -H FAUJ880101 -D Graph shape index (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) Original reference: Kier, - L.B. Quant. Struct. Act. Relat. 6, 117-122 (1987) -C ZIMJ680102 0.888 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.28 2.34 1.60 1.60 1.77 1.56 1.56 0.00 2.99 4.19 - 2.59 1.89 2.35 2.94 2.67 1.31 3.03 3.21 2.94 3.67 -// -H FAUJ880102 -D Smoothed upsilon steric parameter (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) (Pro missing) Original - reference of these two data: Fauchere, L.J. In "QSAR in Design of Bioactive - Compounds", (Kuchar, M., ed.), Prous, Barcelona pp.135-144 (1984) -C AVBF000102 0.881 CHAM810101 0.881 PTIO830101 0.832 - CHOP780216 -0.807 CHAM830101 -0.809 GEIM800108 -0.819 - MUNV940104 -0.824 PRAM900104 -0.844 LEVM780103 -0.846 - QIAN880132 -0.849 QIAN880133 -0.851 QIAN880134 -0.852 - LEVM780106 -0.865 GEIM800111 -0.873 KIMC930101 -0.886 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.53 0.69 0.58 0.59 0.66 0.71 0.72 0.00 0.64 0.96 - 0.92 0.78 0.77 0.71 0. 0.55 0.63 0.84 0.71 0.89 -// -H FAUJ880103 -D Normalized van der Waals volume (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) (Pro !) Original reference of - these two data: Fauchere, L.J. In "QSAR in Design of Bioactive Compounds", - (Kuchar, M., ed.), Prous, Barcelona pp.135-144 (1984) -C CHAM820101 0.992 CHOC750101 0.990 CHOC760101 0.985 - TSAJ990102 0.985 TSAJ990101 0.983 FASG760101 0.979 - BIGC670101 0.972 GOLD730102 0.972 KRIW790103 0.965 - PONJ960101 0.963 GRAR740103 0.959 HARY940101 0.951 - LEVM760102 0.947 LEVM760105 0.945 CHAM830106 0.927 - FAUJ880106 0.908 ROSG850101 0.892 DAWD720101 0.880 - LEVM760107 0.875 RADA880106 0.869 MCMT640101 0.847 - ZHOH040102 0.816 WOLS870102 0.814 CHAM830105 0.813 - HUTJ700102 0.807 FAUJ880104 0.804 OOBM770102 0.801 - RADA880103 -0.923 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 6.13 2.95 2.78 2.43 3.95 3.78 0.00 4.66 4.00 - 4.00 4.77 4.43 5.89 2.72 1.60 2.60 8.08 6.47 3.00 -// -H FAUJ880104 -D STERIMOL length of the side chain (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) (Pro !) Original reference of - these three data: Verloop, A. In "IUPAC, Pesticide Chemistry", Vol.1 - (Miyamoto, J. and Kearney, P.C., eds.),Pergamon, Oxford pp.339-334 (1983) -C LEVM760105 0.896 LEVM760102 0.867 HUTJ700103 0.839 - CHOC760101 0.835 HUTJ700102 0.835 FASG760101 0.825 - CHAM830106 0.817 FAUJ880103 0.804 RADA880103 -0.806 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.87 7.82 4.58 4.74 4.47 6.11 5.97 2.06 5.23 4.92 - 4.92 6.89 6.36 4.62 4.11 3.97 4.11 7.68 4.73 4.11 -// -H FAUJ880105 -D STERIMOL minimum width of the side chain (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) (Pro !) Original reference of - these three data: Verloop, A. In "IUPAC, Pesticide Chemistry", Vol.1 - (Miyamoto, J. and Kearney, P.C., eds.),Pergamon, Oxford pp.339-334 (1983) -C AVBF000102 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.52 1.52 1.52 1.52 1.52 1.52 1.52 1.00 1.52 1.90 - 1.52 1.52 1.52 1.52 1.52 1.52 1.73 1.52 1.52 1.90 -// -H FAUJ880106 -D STERIMOL maximum width of the side chain (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) Original reference of these - three data: Verloop, A. In "IUPAC, Pesticide Chemistry", Vol.1 (Miyamoto, J. - and Kearney, P.C., eds.),Pergamon, Oxford pp.339-334 (1983) -C PONJ960101 0.913 HARY940101 0.909 FAUJ880103 0.908 - CHAM820101 0.902 LEVM760102 0.900 FASG760101 0.899 - CHOC760101 0.898 LEVM760105 0.889 CHOC750101 0.888 - TSAJ990102 0.882 TSAJ990101 0.879 WOLS870102 0.866 - BIGC670101 0.860 GOLD730102 0.857 DAWD720101 0.853 - KRIW790103 0.845 CHAM830106 0.845 GRAR740103 0.819 - HUTJ700102 0.806 RADA880103 -0.823 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.04 6.24 4.37 3.78 3.41 3.53 3.31 1.00 5.66 3.49 - 4.45 4.87 4.80 6.02 4.31 2.70 3.17 5.90 6.72 3.17 -// -H FAUJ880107 -D N.m.r. chemical shift of alpha-carbon (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) Original reference: Fauchere, - J.L. and Lauterwein, J. Quant. Struct. Act. Rel. 4, 11-13 (1985) -C AVBF000105 0.931 AVBF000107 0.884 AVBF000103 0.873 - AVBF000106 0.853 AVBF000108 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.3 11.1 8.0 9.2 14.4 10.6 11.4 0.0 10.2 16.1 - 10.1 10.9 10.4 13.9 17.8 13.1 16.7 13.2 13.9 17.2 -// -H FAUJ880108 -D Localized electrical effect (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) (Pro missing) Original - reference: Charton, M. and Charton, B.I. J. Theor. Biol. 102, 121-134 (1983) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.01 0.04 0.06 0.15 0.12 0.05 0.07 0.00 0.08 -0.01 - -0.01 0.00 0.04 0.03 0. 0.11 0.04 0.00 0.03 0.01 -// -H FAUJ880109 -D Number of hydrogen bond donors (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) Original reference of these - two data: IUPAC-IUB Joint Commission on Biochemical Nomenclature Eur. J. - Biochem. 138, 9-37 (1984) -C GUYH850105 0.927 CHOC760102 0.872 JANJ780101 0.850 - ROSM880101 0.846 EISD860102 0.841 KUHL950101 0.827 - ROSM880102 0.824 PRAM900101 0.815 ENGD860101 0.814 - GUYH850104 0.812 CHOC760103 -0.806 OLSK800101 -0.821 - JANJ790102 -0.822 RADA880101 -0.873 JACR890101 -0.889 - RADA880105 -0.889 EISD840101 -0.890 WOLR810101 -0.904 - WOLR790101 -0.920 RADA880104 -0.926 RADA880107 -0.957 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 4. 2. 1. 0. 2. 1. 0. 1. 0. - 0. 2. 0. 0. 0. 1. 1. 1. 1. 0. -// -H FAUJ880110 -D Number of full nonbonding orbitals (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) Original reference of these - two data: IUPAC-IUB Joint Commission on Biochemical Nomenclature Eur. J. - Biochem. 138, 9-37 (1984) -C KUHL950101 0.922 ROSM880101 0.888 WOEC730101 0.812 - ROSM880105 -0.803 SNEP660102 -0.804 NADH010101 -0.813 - EISD860103 -0.815 RADA880101 -0.838 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 3. 3. 4. 0. 3. 4. 0. 1. 0. - 0. 1. 0. 0. 0. 2. 2. 0. 2. 0. -// -H FAUJ880111 -D Positive charge (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) -C ZIMJ680104 0.813 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 1. 0. 0. 0. 0. 0. 0. 1. 0. - 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. -// -H FAUJ880112 -D Negative charge (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) -C RICJ880106 0.849 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 0. 0. 1. 0. 0. 1. 0. 0. 0. - 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. -// -H FAUJ880113 -D pK-a(RCOOH) (Fauchere et al., 1988) -R PMID:3209351 -A Fauchere, J.L., Charton, M., Kier, L.B., Verloop, A. and Pliska, V. -T Amino acid side chain parameters for correlation studies in biology and - pharmacology -J Int. J. Peptide Protein Res. 32, 269-278 (1988) (Pro missing) -C BLAM930101 0.839 ONEK900101 0.820 BUNA790101 0.818 - ROBB760103 0.802 MUNV940102 -0.826 MUNV940101 -0.836 - ONEK900102 -0.839 GEOR030109 -0.848 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.76 4.30 3.64 5.69 3.67 4.54 5.48 3.77 2.84 4.81 - 4.79 4.27 4.25 4.31 0. 3.83 3.87 4.75 4.30 4.86 -// -H FINA770101 -D Helix-coil equilibrium constant (Finkelstein-Ptitsyn, 1977) -R PMID:843599 -A Finkelstein, A.V. and Ptitsyn, O.B. -T Theory of protein molecule self-organization. II. A comparison of calculated - thermodynamic parameters of local secondary structures with experiments -J Biopolymers 16, 497-524 (1977) (Pro 0.096) -C SUEM840101 0.883 AURR980114 0.875 AURR980113 0.849 - PTIO830101 0.826 KANM800103 0.823 QIAN880107 0.814 - QIAN880106 0.810 MAXF760101 0.810 AURR980109 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.08 1.05 0.85 0.85 0.95 0.95 1.15 0.55 1.00 1.05 - 1.25 1.15 1.15 1.10 0.71 0.75 0.75 1.10 1.10 0.95 -// -H FINA910101 -D Helix initiation parameter at posision i-1 (Finkelstein et al., 1991) -R PMID:1946339 -A Finkelstein, A.V., Badretdinov, A.Y. and Ptitsyn, O.B. -T Physical reasons for secondary structure stability: alpha-helices in short - peptides -J Proteins 10, 287-299 (1991) In these four data, each of Arg, Asp, Glu, His - and Lys has two value. See comment lines. Arg pH < 12 ( 1 when pH > 12 ) Asp - pH > 4 ( 1.7 when pH < 4 ) Glu pH > 4.3 ( 1 when pH < 4.3 ) His pH > 6.3 ( - 0.7 when pH < 6.3 ) Lys pH < 10.5 ( 1 when pH > 10.5 ) -C MONM990201 0.812 AURR980104 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1. 0.70 1.70 3.20 1. 1. 1.70 1. 1. 0.60 - 1. 0.70 1. 1. 1. 1.70 1.70 1. 1. 0.60 -// -H FINA910102 -D Helix initiation parameter at posision i,i+1,i+2 (Finkelstein et al., 1991) -R PMID:1946339 -A Finkelstein, A.V., Badretdinov, A.Y. and Ptitsyn, O.B. -T Physical reasons for secondary structure stability: alpha-helices in short - peptides -J Proteins 10, 287-299 (1991) In these four data, each of Arg, Asp, Glu, His - and Lys has two value. See comment lines. Arg pH < 12 ( 1 when pH > 12 ) Asp - pH > 4 ( 1 when pH < 4 ) Glu pH > 4.3 ( 1 when pH < 4.3 ) His pH > 6.3 ( 0.7 - when pH < 6.3 ) Lys pH < 10.5 ( 1 when pH > 10.5 ) (Pro !) -C ONEK900102 0.964 MUNV940105 0.911 AVBF000104 0.901 - MUNV940104 0.896 GEOR030109 0.890 TANS770104 0.876 - ISOY800104 0.844 CHOP780213 0.832 ROBB760104 -0.844 - ONEK900101 -0.920 BLAM930101 -0.961 BUNA790101 -0.992 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1. 0.70 1. 1.70 1. 1. 1.70 1.30 1. 1. - 1. 0.70 1. 1. 13. 1. 1. 1. 1. 1. -// -H FINA910103 -D Helix termination parameter at posision j-2,j-1,j (Finkelstein et al., 1991) -R PMID:1946339 -A Finkelstein, A.V., Badretdinov, A.Y. and Ptitsyn, O.B. -T Physical reasons for secondary structure stability: alpha-helices in short - peptides -J Proteins 10, 287-299 (1991) In these four data, each of Arg, Asp, Glu, His - and Lys has two value. See comment lines. Arg pH < 12 ( 1 when pH > 12 ) Asp - pH > 4 ( 1 when pH < 4 ) Glu pH > 4.3 ( 1 when pH < 4.3 ) His pH > 6.3 ( 1.7 - when pH < 6.3 ) Lys pH < 10.5 ( 1 when pH > 10.5 ) -C ZIMJ680104 0.805 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.20 1.70 1.20 0.70 1. 1. 0.70 0.80 1.20 0.80 - 1. 1.70 1. 1. 1. 1.50 1. 1. 1. 0.80 -// -H FINA910104 -D Helix termination parameter at posision j+1 (Finkelstein et al., 1991) -R PMID:1946339 -A Finkelstein, A.V., Badretdinov, A.Y. and Ptitsyn, O.B. -T Physical reasons for secondary structure stability: alpha-helices in short - peptides -J Proteins 10, 287-299 (1991) In these four data, each of Arg, Asp, Glu, His - and Lys has two value. See comment lines. Arg pH < 12 ( 1 when pH > 12 ) Asp - pH > 4 ( 1 when pH < 4 ) Glu pH > 4.3 ( 1 when pH < 4.3 ) His pH > 6.3 ( 1.7 - when pH < 6.3 ) Lys pH < 10.5 ( 1 when pH > 10.5 ) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1. 1.70 1. 0.70 1. 1. 0.70 1.50 1. 1. - 1. 1.70 1. 1. 0.10 1. 1. 1. 1. 1. -// -H GARJ730101 -D Partition coefficient (Garel et al., 1973) -R PMID:4700470 -A Garel, J.P., Filliol, D. and Mandel, P. -T Coefficients de partage d'aminoacides, nucleobases, nucleosides et - nucleotides dans un systeme solvant salin -J J. Chromatogr. 78, 381-391 (1973) -C LEVM760107 0.860 NOZY710101 0.821 OOBM850102 -0.877 - WEBA780101 -0.924 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.28 0.10 0.25 0.21 0.28 0.35 0.33 0.17 0.21 0.82 - 1.00 0.09 0.74 2.18 0.39 0.12 0.21 5.70 1.26 0.60 -// -H GEIM800101 -D Alpha-helix indices (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C PALJ810101 0.951 LEVM780104 0.950 KANM800101 0.942 - TANS770101 0.918 CHOP780201 0.912 NAGK730101 0.912 - PRAM900102 0.912 LEVM780101 0.912 PALJ810102 0.910 - GEIM800104 0.903 ISOY800101 0.903 ROBB760101 0.897 - MAXF760101 0.895 KANM800103 0.881 RACS820108 0.880 - CRAJ730101 0.870 BURA740101 0.858 PALJ810109 0.816 - AURR980115 0.804 AURR980112 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.29 1. 0.81 1.10 0.79 1.07 1.49 0.63 1.33 1.05 - 1.31 1.33 1.54 1.13 0.63 0.78 0.77 1.18 0.71 0.81 -// -H GEIM800102 -D Alpha-helix indices for alpha-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C PALJ810107 0.919 GEIM800109 -0.993 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.13 1.09 1.06 0.94 1.32 0.93 1.20 0.83 1.09 1.05 - 1.13 1.08 1.23 1.01 0.82 1.01 1.17 1.32 0.88 1.13 -// -H GEIM800103 -D Alpha-helix indices for beta-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.55 0.20 1.20 1.55 1.44 1.13 1.67 0.59 1.21 1.27 - 1.25 1.20 1.37 0.40 0.21 1.01 0.55 1.86 1.08 0.64 -// -H GEIM800104 -D Alpha-helix indices for alpha/beta-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C PALJ810109 0.937 KANM800101 0.916 LEVM780101 0.907 - PRAM900102 0.907 GEIM800101 0.903 MAXF760101 0.897 - ISOY800101 0.891 PALJ810102 0.886 LEVM780104 0.872 - CHOP780201 0.868 ROBB760101 0.855 RACS820108 0.851 - PALJ810101 0.841 TANS770101 0.841 CRAJ730101 0.838 - NAGK730101 0.828 BURA740101 0.819 AURR980112 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.19 1. 0.94 1.07 0.95 1.32 1.64 0.60 1.03 1.12 - 1.18 1.27 1.49 1.02 0.68 0.81 0.85 1.18 0.77 0.74 -// -H GEIM800105 -D Beta-strand indices (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C PALJ810103 0.945 LEVM780105 0.926 KANM800102 0.916 - GEIM800107 0.901 CHOP780202 0.890 ROBB760105 0.877 - KANM800104 0.861 PALJ810104 0.856 ROBB760106 0.856 - LIFS790101 0.855 TANS770103 0.850 ISOY800102 0.843 - LIFS790103 0.832 PALJ810112 0.830 QIAN880119 0.829 - QIAN880120 0.822 MAXF760102 0.819 QIAN880121 0.811 - PTIO830102 0.810 QIAN880118 0.810 MUNV940103 -0.841 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.84 1.04 0.66 0.59 1.27 1.02 0.57 0.94 0.81 1.29 - 1.10 0.86 0.88 1.15 0.80 1.05 1.20 1.15 1.39 1.56 -// -H GEIM800106 -D Beta-strand indices for beta-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C GEIM800107 0.878 PALJ810110 0.851 CHOP780202 0.839 - ROBB760106 0.838 QIAN880120 0.825 KANM800102 0.821 - LIFS790103 0.814 MUNV940103 -0.800 GEIM800110 -0.929 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.86 1.15 0.60 0.66 0.91 1.11 0.37 0.86 1.07 1.17 - 1.28 1.01 1.15 1.34 0.61 0.91 1.14 1.13 1.37 1.31 -// -H GEIM800107 -D Beta-strand indices for alpha/beta-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C KANM800102 0.955 CHOP780202 0.929 PALJ810104 0.928 - PALJ810112 0.905 GEIM800105 0.901 ROBB760106 0.899 - PALJ810103 0.890 LIFS790101 0.888 LEVM780105 0.884 - GEIM800106 0.878 KANM800104 0.876 QIAN880121 0.875 - PTIO830102 0.850 BASU050103 0.847 BASU050101 0.847 - QIAN880120 0.843 LEVM780102 0.842 PRAM900103 0.842 - PONP930101 0.838 ROBB760105 0.836 NAGK730102 0.830 - PALJ810110 0.826 LIFS790103 0.823 CORJ870101 0.821 - PONP800108 0.817 NISK860101 0.813 QIAN880119 0.807 - MIYS990103 -0.803 GEIM800110 -0.815 VINM940101 -0.819 - MUNV940103 -0.869 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.91 0.99 0.72 0.74 1.12 0.90 0.41 0.91 1.01 1.29 - 1.23 0.86 0.96 1.26 0.65 0.93 1.05 1.15 1.21 1.58 -// -H GEIM800108 -D Aperiodic indices (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C GEIM800111 0.967 CHOP780216 0.942 LEVM780106 0.932 - PRAM900104 0.931 LEVM780103 0.931 QIAN880133 0.930 - ISOY800103 0.930 CHOP780203 0.925 CHAM830101 0.916 - QIAN880132 0.906 CHOP780101 0.899 CHOP780210 0.896 - TANS770110 0.886 QIAN880134 0.884 QIAN880135 0.877 - PALJ810105 0.873 GEIM800110 0.870 PALJ810106 0.862 - QIAN880131 0.860 MUNV940103 0.806 ROBB760103 -0.802 - QIAN880120 -0.804 QIAN880119 -0.810 FAUJ880102 -0.819 - PTIO830101 -0.840 SUEM840101 -0.875 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.91 1. 1.64 1.40 0.93 0.94 0.97 1.51 0.90 0.65 - 0.59 0.82 0.58 0.72 1.66 1.23 1.04 0.67 0.92 0.60 -// -H GEIM800109 -D Aperiodic indices for alpha-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C PALJ810107 -0.909 GEIM800102 -0.993 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.80 0.96 1.10 1.60 0. 1.60 0.40 2. 0.96 0.85 - 0.80 0.94 0.39 1.20 2.10 1.30 0.60 0. 1.80 0.80 -// -H GEIM800110 -D Aperiodic indices for beta-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C MUNV940103 0.880 GEIM800108 0.870 GEIM800111 0.857 - QIAN880134 0.853 QIAN880135 0.842 PARS000101 0.831 - QIAN880133 0.822 LEVM780106 0.809 QIAN880121 -0.806 - CORJ870105 -0.807 CORJ870106 -0.812 KANM800102 -0.814 - GEIM800107 -0.815 ROBB760106 -0.819 CHOP780202 -0.824 - AVBF000101 -0.825 PALJ810110 -0.840 QIAN880119 -0.853 - LIFS790101 -0.862 LIFS790103 -0.889 QIAN880120 -0.898 - GEIM800106 -0.929 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.10 0.93 1.57 1.41 1.05 0.81 1.40 1.30 0.85 0.67 - 0.52 0.94 0.69 0.60 1.77 1.13 0.88 0.62 0.41 0.58 -// -H GEIM800111 -D Aperiodic indices for alpha/beta-proteins (Geisow-Roberts, 1980) -R -A Geisow, M.J. and Roberts, R.D.B. -T Amino acid preferences for secondary structure vary with protein class -J Int. J. Biol. Macromol. 2, 387-389 (1980) -C GEIM800108 0.967 CHOP780216 0.955 PRAM900104 0.954 - LEVM780103 0.952 LEVM780106 0.951 QIAN880133 0.943 - CHAM830101 0.938 CHOP780203 0.933 ISOY800103 0.929 - QIAN880132 0.929 QIAN880134 0.919 QIAN880135 0.895 - TANS770110 0.883 CHOP780101 0.878 CHOP780210 0.867 - QIAN880131 0.857 GEIM800110 0.857 PALJ810105 0.855 - PALJ810106 0.844 LIFS790101 -0.801 AVBF000101 -0.806 - KANM800103 -0.812 AURR980109 -0.814 QIAN880120 -0.816 - ROBB760103 -0.843 FAUJ880102 -0.873 PTIO830101 -0.876 - SUEM840101 -0.885 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.93 1.01 1.36 1.22 0.92 0.83 1.05 1.45 0.96 0.58 - 0.59 0.91 0.60 0.71 1.67 1.25 1.08 0.68 0.98 0.62 -// -H GOLD730101 -D Hydrophobicity factor (Goldsack-Chalifoux, 1973) -R PMID:4354159 -A Goldsack, D.E. and Chalifoux, R.C. -T Contribution of the free energy of mixing of hydrophobic side chains to the - stability of the tertiary structure -J J. Theor. Biol. 39, 645-651 (1973) (Asn Gln !) -C SIMZ760101 0.939 ARGP820101 0.936 JOND750101 0.935 - TAKK010101 0.872 MEEJ800102 0.866 LAWE840101 0.829 - CIDH920102 0.829 LEVM760106 0.827 BULH740102 0.825 - MEEJ810101 0.824 BLAS910101 0.821 ZIMJ680105 0.820 - CIDH920105 0.820 ZIMJ680102 0.818 ZHOH040101 0.817 - ROSM880104 0.808 MEEJ800101 0.808 MEEJ810102 0.806 - VENT840101 0.802 PARJ860101 -0.827 WOLS870101 -0.854 - BULH740101 -0.874 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.75 0.75 0.69 0.00 1.00 0.59 0.00 0.00 0.00 2.95 - 2.40 1.50 1.30 2.65 2.60 0.00 0.45 3.00 2.85 1.70 -// -H GOLD730102 -D Residue volume (Goldsack-Chalifoux, 1973) -R PMID:4354159 -A Goldsack, D.E. and Chalifoux, R.C. -T Contribution of the free energy of mixing of hydrophobic side chains to the - stability of the tertiary structure -J J. Theor. Biol. 39, 645-651 (1973) (Asn Gln 8.8) -C BIGC670101 1.000 KRIW790103 0.994 TSAJ990101 0.993 - TSAJ990102 0.991 CHOC750101 0.989 GRAR740103 0.984 - FAUJ880103 0.972 CHAM820101 0.967 CHOC760101 0.960 - HARY940101 0.959 PONJ960101 0.947 FASG760101 0.918 - LEVM760105 0.911 ROSG850101 0.909 DAWD720101 0.904 - LEVM760102 0.893 ZHOH040102 0.882 LEVM760106 0.875 - CHAM830106 0.869 LEVM760107 0.865 FAUJ880106 0.857 - RADA880106 0.854 MCMT640101 0.814 RADA880103 -0.864 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 88.3 181.2 125.1 110.8 112.4 148.7 140.5 60.0 152.6 168.5 - 168.5 175.6 162.2 189.0 122.2 88.7 118.2 227.0 193.0 141.4 -// -H GRAR740101 -D Composition (Grantham, 1974) -R PMID:4843792 -A Grantham, R. -T Amino acid difference formula to help explain protein evolution -J Science 185, 862-864 (1974) (Atomic weight ratio of noncarbons to carbons in - the side chain) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.00 0.65 1.33 1.38 2.75 0.89 0.92 0.74 0.58 0.00 - 0.00 0.33 0.00 0.00 0.39 1.42 0.71 0.13 0.20 0.00 -// -H GRAR740102 -D Polarity (Grantham, 1974) -R PMID:4843792 -A Grantham, R. -T Amino acid difference formula to help explain protein evolution -J Science 185, 862-864 (1974) -C WOEC730101 0.960 MIYS990105 0.928 PUNT030102 0.915 - MIYS990104 0.910 WOLS870101 0.910 MIYS990103 0.904 - MIYS990101 0.903 MIYS990102 0.903 OOBM770103 0.896 - PARJ860101 0.891 ROSM880101 0.887 KIDA850101 0.881 - HOPT810101 0.874 PUNT030101 0.873 FASG890101 0.872 - ROSM880102 0.870 VINM940101 0.869 LEVM760101 0.865 - KUHL950101 0.865 PRAM900101 0.855 ENGD860101 0.855 - KRIW790101 0.847 OOBM770101 0.841 CORJ870108 0.838 - VINM940102 0.837 MEIH800102 0.836 GUYH850103 0.831 - MONM990101 0.831 MEIH800101 0.824 BULH740101 0.822 - GUYH850101 0.818 GUYH850102 0.806 WIMW960101 -0.804 - JANJ780102 -0.809 MEEJ810102 -0.811 NADH010105 -0.812 - EISD840101 -0.823 WERD780101 -0.826 ROBB790101 -0.832 - CORJ870103 -0.836 MEEJ810101 -0.839 CORJ870107 -0.840 - CIDH920102 -0.842 PONP800101 -0.849 CORJ870104 -0.850 - CASG920101 -0.850 COWR900101 -0.854 GUOD860101 -0.855 - KYTJ820101 -0.859 NADH010101 -0.859 RADA880101 -0.861 - DESM900102 -0.862 JURD980101 -0.864 BASU050102 -0.864 - MEIH800103 -0.866 NADH010104 -0.868 MANP780101 -0.868 - PONP800102 -0.871 EISD860101 -0.871 EISD860103 -0.871 - CIDH920103 -0.871 PONP930101 -0.872 NISK800101 -0.879 - ROSG850102 -0.880 BIOV880102 -0.881 NADH010103 -0.881 - NADH010102 -0.881 CIDH920105 -0.884 PLIV810101 -0.888 - BASU050101 -0.889 CORJ870101 -0.890 CORJ870102 -0.893 - ZHOH040103 -0.895 MIYS850101 -0.895 SWER830101 -0.896 - PONP800103 -0.897 RADA880108 -0.899 NISK860101 -0.900 - BASU050103 -0.906 PONP800108 -0.907 BIOV880101 -0.910 - CIDH920104 -0.915 ROSM880105 -0.924 FAUJ830101 -0.948 - BLAS910101 -0.950 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.1 10.5 11.6 13.0 5.5 10.5 12.3 9.0 10.4 5.2 - 4.9 11.3 5.7 5.2 8.0 9.2 8.6 5.4 6.2 5.9 -// -H GRAR740103 -D Volume (Grantham, 1974) -R PMID:4843792 -A Grantham, R. -T Amino acid difference formula to help explain protein evolution -J Science 185, 862-864 (1974) -C KRIW790103 0.989 BIGC670101 0.984 GOLD730102 0.984 - TSAJ990101 0.979 TSAJ990102 0.978 CHOC750101 0.973 - FAUJ880103 0.959 CHAM820101 0.951 HARY940101 0.946 - CHOC760101 0.945 PONJ960101 0.937 ROSG850101 0.922 - RADA880106 0.920 FASG760101 0.908 LEVM760105 0.900 - CHAM830106 0.890 LEVM760102 0.885 ZHOH040102 0.872 - DAWD720101 0.853 LEVM760106 0.846 LEVM760107 0.841 - FAUJ880106 0.819 MCMT640101 0.817 RADA880103 -0.881 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 31. 124. 56. 54. 55. 85. 83. 3. 96. 111. - 111. 119. 105. 132. 32.5 32. 61. 170. 136. 84. -// -H GUYH850101 -D Partition energy (Guy, 1985) -R PMID:3978191 -A Guy, H.R. -T Amino acid side-chain partition energies and distribution of residues in - soluble proteins -J Biophys. J. 47, 61-70 (1985) -C MEIH800102 0.934 RACS770102 0.934 FASG890101 0.934 - PUNT030101 0.910 MIYS990103 0.907 MIYS990105 0.895 - MEIH800101 0.893 MIYS990102 0.892 MIYS990101 0.891 - MIYS990104 0.889 KRIW790101 0.885 VINM940103 0.865 - KRIW790102 0.864 GUYH850104 0.857 RACS770101 0.853 - CORJ870108 0.851 OOBM770101 0.848 GUYH850105 0.843 - KARP850102 0.840 ROSM880102 0.837 PUNT030102 0.836 - KIDA850101 0.834 KRIW710101 0.831 VINM940101 0.829 - JANJ780103 0.829 KUHL950101 0.827 JANJ780101 0.821 - PRAM900101 0.820 ENGD860101 0.820 GRAR740102 0.818 - RACS770103 0.816 CHOC760102 0.807 GUYH850102 0.805 - ROSM880101 0.803 HOPT810101 0.802 BASU050102 -0.801 - BASU050101 -0.807 CORJ870105 -0.810 NISK800101 -0.811 - YUTK870101 -0.813 CORJ870103 -0.813 RADA880101 -0.815 - CORJ870104 -0.815 PONP930101 -0.817 CORJ870101 -0.820 - CIDH920104 -0.821 OLSK800101 -0.823 EISD860101 -0.823 - PONP800106 -0.826 DESM900101 -0.831 EISD860103 -0.832 - ROSM880105 -0.832 CORJ870106 -0.833 CASG920101 -0.836 - PLIV810101 -0.836 MANP780101 -0.838 ZHOH040103 -0.839 - CORJ870107 -0.841 KYTJ820101 -0.843 EISD840101 -0.849 - NADH010105 -0.855 CHOC760103 -0.856 NADH010101 -0.862 - FAUJ830101 -0.863 JURD980101 -0.864 JANJ790102 -0.865 - BASU050103 -0.871 WERD780101 -0.871 JANJ780102 -0.872 - PONP800101 -0.877 NISK860101 -0.877 MEIH800103 -0.880 - PONP800102 -0.883 BIOV880102 -0.885 PONP800103 -0.887 - DESM900102 -0.895 MIYS850101 -0.909 NADH010104 -0.910 - NADH010102 -0.910 NADH010103 -0.916 BIOV880101 -0.929 - ROSG850102 -0.929 RADA880108 -0.948 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.10 1.91 0.48 0.78 -1.42 0.95 0.83 0.33 -0.50 -1.13 - -1.18 1.40 -1.59 -2.12 0.73 0.52 0.07 -0.51 -0.21 -1.27 -// -H HOPA770101 -D Hydration number (Hopfinger, 1971), Cited by Charton-Charton (1982) -R -A Hopfinger, A.J. -T -J "Intermolecular Interactions and Biomolecular Organizations", Wiley, New York - (1977) Cited by Charton-Charton (1982) (Cys !) -C WOEC730101 0.876 ZIMJ680103 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.0 2.3 2.2 6.5 0.1 2.1 6.2 1.1 2.8 0.8 - 0.8 5.3 0.7 1.4 0.9 1.7 1.5 1.9 2.1 0.9 -// -H HOPT810101 -D Hydrophilicity value (Hopp-Woods, 1981) -R PMID:6167991 -A Hopp, T.P. and Woods, K.R. -T Prediction of protein antigenic determinants from amino acid sequecces -J Proc. Natl. Acad. Sci. USA 78, 3824-3828 (1981) -C LEVM760101 0.985 WOEC730101 0.886 PUNT030102 0.886 - FUKS010104 0.884 ENGD860101 0.882 PRAM900101 0.881 - KIDA850101 0.881 GRAR740102 0.874 MIYS990105 0.862 - VINM940101 0.859 PUNT030101 0.858 FUKS010102 0.854 - VHEG790101 0.849 ROSM880101 0.848 MIYS990104 0.843 - OOBM770103 0.833 WOLS870101 0.830 MIYS990103 0.825 - PARJ860101 0.819 MIYS990102 0.804 MIYS990101 0.803 - GUYH850101 0.802 MIYS850101 -0.800 NADH010103 -0.805 - NAKH900110 -0.812 ZIMJ680105 -0.816 JACR890101 -0.816 - NADH010102 -0.820 NISK860101 -0.822 ROSG850102 -0.825 - MEEJ800102 -0.826 RADA880101 -0.829 ZHOH040103 -0.829 - BASU050103 -0.830 RADA880108 -0.831 CASG920101 -0.839 - EISD840101 -0.846 BIOV880101 -0.848 WIMW960101 -0.855 - RADA880102 -0.859 BIOV880102 -0.864 BLAS910101 -0.877 - EISD860101 -0.905 FAUJ830101 -0.909 ROSM880105 -0.955 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.5 3.0 0.2 3.0 -1.0 0.2 3.0 0.0 -0.5 -1.8 - -1.8 3.0 -1.3 -2.5 0.0 0.3 -0.4 -3.4 -2.3 -1.5 -// -H HUTJ700101 -D Heat capacity (Hutchens, 1970) -R -A Hutchens, J.O. -T Heat capacities, absolute entropies, and entropies of formation of amino - acids and related compounds -J In "Handbook of Biochemistry", 2nd ed. (Sober, H.A., ed.), Chemical Rubber - Co., Cleveland, Ohio, pp. B60-B61 (1970) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 29.22 26.37 38.30 37.09 50.70 44.02 41.84 23.71 59.64 45.00 - 48.03 57.10 69.32 48.52 36.13 32.40 35.20 56.92 51.73 40.35 -// -H HUTJ700102 -D Absolute entropy (Hutchens, 1970) -R -A Hutchens, J.O. -T Heat capacities, absolute entropies, and entropies of formation of amino - acids and related compounds -J In "Handbook of Biochemistry", 2nd ed. (Sober, H.A., ed.), Chemical Rubber - Co., Cleveland, Ohio, pp. B60-B61 (1970) -C HUTJ700103 0.867 LEVM760105 0.864 LEVM760102 0.835 - FAUJ880104 0.835 CHOC760101 0.819 CHAM820101 0.815 - FAUJ880103 0.807 FAUJ880106 0.806 CHOC750101 0.802 - RADA880103 -0.812 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 30.88 68.43 41.70 40.66 53.83 46.62 44.98 24.74 65.99 49.71 - 50.62 63.21 55.32 51.06 39.21 35.65 36.50 60.00 51.15 42.75 -// -H HUTJ700103 -D Entropy of formation (Hutchens, 1970) -R -A Hutchens, J.O. -T Heat capacities, absolute entropies, and entropies of formation of amino - acids and related compounds -J In "Handbook of Biochemistry", 2nd ed. (Sober, H.A., ed.), Chemical Rubber - Co., Cleveland, Ohio, pp. B60-B61 (1970) -C HUTJ700102 0.867 EISD860102 0.841 FAUJ880104 0.839 - LEVM760105 0.834 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 154.33 341.01 207.90 194.91 219.79 235.51 223.16 127.90 242.54 233.21 - 232.30 300.46 202.65 204.74 179.93 174.06 205.80 237.01 229.15 207.60 -// -H ISOY800101 -D Normalized relative frequency of alpha-helix (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C MAXF760101 0.982 PALJ810102 0.965 KANM800101 0.963 - CHOP780201 0.959 ROBB760101 0.957 KANM800103 0.931 - LEVM780101 0.929 PRAM900102 0.929 TANS770101 0.906 - LEVM780104 0.904 RACS820108 0.904 QIAN880106 0.903 - GEIM800101 0.903 AURR980109 0.894 GEIM800104 0.891 - QIAN880107 0.887 PALJ810101 0.882 PALJ810109 0.874 - AURR980112 0.870 NAGK730101 0.862 AURR980114 0.857 - AURR980108 0.856 AURR980110 0.855 AURR980115 0.844 - ROBB760103 0.841 CRAJ730101 0.840 BURA740101 0.839 - QIAN880105 0.828 AURR980113 0.815 AURR980111 0.801 - CHAM830101 -0.815 NAGK730103 -0.821 MUNV940101 -0.875 - MUNV940102 -0.877 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.53 1.17 0.60 1.00 0.89 1.27 1.63 0.44 1.03 1.07 - 1.32 1.26 1.66 1.22 0.25 0.65 0.86 1.05 0.70 0.93 -// -H ISOY800102 -D Normalized relative frequency of extended structure (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C MAXF760102 0.931 TANS770103 0.929 ROBB760105 0.847 - GEIM800105 0.843 PALJ810103 0.807 WOEC730101 -0.803 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.86 0.98 0.74 0.69 1.39 0.89 0.66 0.70 1.06 1.31 - 1.01 0.77 1.06 1.16 1.16 1.09 1.24 1.17 1.28 1.40 -// -H ISOY800103 -D Normalized relative frequency of bend (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C LEVM780106 0.941 PRAM900104 0.934 CHOP780203 0.933 - LEVM780103 0.932 GEIM800108 0.930 GEIM800111 0.929 - PALJ810105 0.928 CHOP780216 0.921 QIAN880133 0.908 - TANS770110 0.897 QIAN880132 0.892 CHOP780101 0.885 - CHAM830101 0.881 CHOP780210 0.829 QIAN880134 0.828 - PALJ810116 0.814 PALJ810114 0.809 PALJ810106 0.807 - ROBB760112 0.807 AVBF000102 -0.821 SUEM840101 -0.850 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.78 1.06 1.56 1.50 0.60 0.78 0.97 1.73 0.83 0.40 - 0.57 1.01 0.30 0.67 1.55 1.19 1.09 0.74 1.14 0.44 -// -H ISOY800104 -D Normalized relative frequency of bend R (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C TANS770104 0.918 CHOP780213 0.916 QIAN880134 0.893 - MUNV940104 0.866 FINA910102 0.844 MUNV940105 0.844 - QIAN880135 0.837 ONEK900102 0.828 GEOR030109 0.812 - ROBB760104 -0.817 ROBB760103 -0.830 PTIO830101 -0.832 - BUNA790101 -0.842 QIAN880108 -0.847 BLAM930101 -0.860 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.09 0.97 1.14 0.77 0.50 0.83 0.92 1.25 0.67 0.66 - 0.44 1.25 0.45 0.50 2.96 1.21 1.33 0.62 0.94 0.56 -// -H ISOY800105 -D Normalized relative frequency of bend S (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C CHOP780214 0.923 TANS770105 0.836 ISOY800108 0.812 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.35 0.75 2.12 2.16 0.50 0.73 0.65 2.40 1.19 0.12 - 0.58 0.83 0.22 0.89 0.43 1.24 0.85 0.62 1.44 0.43 -// -H ISOY800106 -D Normalized relative frequency of helix end (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C MAXF760106 0.849 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.09 1.07 0.88 1.24 1.04 1.09 1.14 0.27 1.07 0.97 - 1.30 1.20 0.55 0.80 1.78 1.20 0.99 1.03 0.69 0.77 -// -H ISOY800107 -D Normalized relative frequency of double bend (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.34 2.78 0.92 1.77 1.44 0.79 2.54 0.95 0.00 0.52 - 1.05 0.79 0.00 0.43 0.37 0.87 1.14 1.79 0.73 0.00 -// -H ISOY800108 -D Normalized relative frequency of coil (Isogai et al., 1980) -R PMID:7378550 -A Isogai, Y., Nemethy, G., Rackovsky, S., Leach, S.J. and Scheraga,H.A -T Characterization of multiple bends in proteins -J Biopolymers 19, 1183-1210 (1980) Recalculated by Kidera using a different set - of proteins -C MAXF760104 0.945 RICJ880115 0.889 RACS820109 0.848 - RACS820106 0.831 TANS770107 0.827 AURR980117 0.822 - TANS770109 0.816 ISOY800105 0.812 MAXF760105 0.810 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.47 0.52 2.16 1.15 0.41 0.95 0.64 3.03 0.89 0.62 - 0.53 0.98 0.68 0.61 0.63 1.03 0.39 0.63 0.83 0.76 -// -H JANJ780101 -D Average accessible surface area (Janin et al., 1978) -R PMID:731698 -A Janin, J., Wodak, S., Levitt, M. and Maigret, B. -T Conformation of amino acid side-chains in proteins -J J. Mol. Biol. 125, 357-386 (1978) -C GUYH850104 0.989 JANJ780103 0.985 CHOC760102 0.973 - OOBM770101 0.953 GUYH850105 0.923 PRAM900101 0.901 - ENGD860101 0.901 ROSM880102 0.853 FAUJ880109 0.850 - KIDA850101 0.843 MEIH800102 0.843 KUHL950101 0.839 - PUNT030101 0.824 ROSM880101 0.822 GUYH850101 0.821 - FASG890101 0.813 EISD860103 -0.808 BIOV880102 -0.809 - MEIH800103 -0.811 JANJ790101 -0.824 RADA880104 -0.825 - NADH010104 -0.832 ROSG850102 -0.836 RADA880101 -0.844 - KYTJ820101 -0.852 CHOC760104 -0.854 WOLR790101 -0.856 - OLSK800101 -0.858 JURD980101 -0.862 WOLR810101 -0.864 - JACR890101 -0.865 NADH010103 -0.868 WARP780101 -0.869 - DESM900102 -0.878 CHOC760103 -0.892 EISD840101 -0.907 - RADA880107 -0.917 NADH010102 -0.924 JANJ780102 -0.949 - JANJ790102 -0.989 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 27.8 94.7 60.1 60.6 15.5 68.7 68.2 24.5 50.7 22.8 - 27.6 103.0 33.5 25.5 51.5 42.0 45.0 34.7 55.2 23.7 -// -H JANJ780102 -D Percentage of buried residues (Janin et al., 1978) -R PMID:731698 -A Janin, J., Wodak, S., Levitt, M. and Maigret, B. -T Conformation of amino acid side-chains in proteins -J J. Mol. Biol. 125, 357-386 (1978) -C JANJ790102 0.966 CHOC760103 0.950 NADH010102 0.949 - JANJ790101 0.941 DESM900102 0.935 JURD980101 0.928 - NADH010103 0.923 KYTJ820101 0.922 ROSG850102 0.909 - OLSK800101 0.905 CHOC760104 0.903 NADH010104 0.898 - MEIH800103 0.897 NADH010101 0.892 CORJ870101 0.885 - EISD860103 0.883 PONP800103 0.882 WARP780101 0.878 - PONP800102 0.875 BIOV880101 0.875 EISD840101 0.874 - RADA880108 0.869 PONP800108 0.863 BIOV880102 0.862 - RADA880107 0.856 RADA880101 0.855 CASG920101 0.853 - DESM900101 0.853 NISK800101 0.853 PONP800101 0.851 - WOLR810101 0.851 MANP780101 0.842 WOLR790101 0.833 - PONP930101 0.825 FAUJ830101 0.825 NADH010105 0.814 - NISK860101 0.813 MIYS850101 0.806 BASU050103 0.803 - CIDH920104 0.803 GRAR740102 -0.809 MIYS990104 -0.811 - KRIW790102 -0.818 RACS770103 -0.828 KIDA850101 -0.828 - PUNT030102 -0.830 MIYS990103 -0.834 ROSM880101 -0.835 - KRIW790101 -0.837 MIYS990105 -0.846 PUNT030101 -0.848 - ENGD860101 -0.860 PRAM900101 -0.860 RACS770102 -0.869 - ROSM880102 -0.870 GUYH850101 -0.872 KUHL950101 -0.890 - GUYH850105 -0.898 FASG890101 -0.903 MEIH800102 -0.907 - CHOC760102 -0.935 JANJ780101 -0.949 JANJ780103 -0.957 - OOBM770101 -0.968 GUYH850104 -0.968 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 51. 5. 22. 19. 74. 16. 16. 52. 34. 66. - 60. 3. 52. 58. 25. 35. 30. 49. 24. 64. -// -H JANJ780103 -D Percentage of exposed residues (Janin et al., 1978) -R PMID:731698 -A Janin, J., Wodak, S., Levitt, M. and Maigret, B. -T Conformation of amino acid side-chains in proteins -J J. Mol. Biol. 125, 357-386 (1978) -C JANJ780101 0.985 GUYH850104 0.983 OOBM770101 0.965 - CHOC760102 0.959 GUYH850105 0.885 ENGD860101 0.884 - PRAM900101 0.884 MEIH800102 0.873 KRIW790102 0.848 - PUNT030101 0.848 RACS770103 0.847 KIDA850101 0.842 - FASG890101 0.838 ROSM880102 0.838 GUYH850101 0.829 - KUHL950101 0.826 RACS770102 0.823 MIYS990105 0.816 - VINM940104 0.811 ROSM880101 0.810 KRIW790101 0.805 - NADH010101 -0.804 RADA880108 -0.805 WOLR790101 -0.806 - JACR890101 -0.809 PONP800103 -0.812 RADA880101 -0.817 - EISD860103 -0.819 WOLR810101 -0.822 CASG920101 -0.825 - CORJ870101 -0.826 BIOV880101 -0.829 JANJ790101 -0.832 - DESM900101 -0.838 OLSK800101 -0.845 KYTJ820101 -0.845 - CHOC760104 -0.851 JURD980101 -0.853 RADA880107 -0.856 - BIOV880102 -0.860 NADH010104 -0.860 MEIH800103 -0.866 - ROSG850102 -0.879 EISD840101 -0.881 CHOC760103 -0.888 - WARP780101 -0.890 NADH010103 -0.892 DESM900102 -0.908 - NADH010102 -0.938 JANJ780102 -0.957 JANJ790102 -0.980 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 15. 67. 49. 50. 5. 56. 55. 10. 34. 13. - 16. 85. 20. 10. 45. 32. 32. 17. 41. 14. -// -H JANJ790101 -D Ratio of buried and accessible molar fractions (Janin, 1979) -R PMID:763335 -A Janin, J. -T Surface and inside volumes in globular proteins -J Nature 277, 491-492 (1979) -C JANJ780102 0.941 PONP800102 0.897 CORJ870101 0.891 - CHOC760103 0.887 CHOC760104 0.886 PONP800103 0.886 - PONP800108 0.881 NADH010103 0.879 NISK800101 0.875 - NADH010102 0.872 NADH010104 0.871 JURD980101 0.868 - KYTJ820101 0.867 PONP800101 0.866 JANJ790102 0.860 - ROSG850102 0.857 DESM900102 0.855 NADH010101 0.847 - NADH010105 0.843 MANP780101 0.842 MEIH800103 0.838 - EISD860103 0.829 OLSK800101 0.828 CASG920101 0.828 - BIOV880101 0.827 RADA880108 0.824 PONP930101 0.816 - CHOC760102 -0.809 KRIW790101 -0.810 KUHL950101 -0.811 - KRIW710101 -0.815 MEIH800102 -0.821 JANJ780101 -0.824 - JANJ780103 -0.832 GUYH850104 -0.862 OOBM770101 -0.871 - FASG890101 -0.885 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.7 0.1 0.4 0.4 4.6 0.3 0.3 1.8 0.8 3.1 - 2.4 0.05 1.9 2.2 0.6 0.8 0.7 1.6 0.5 2.9 -// -H JANJ790102 -D Transfer free energy (Janin, 1979) -R PMID:763335 -A Janin, J. -T Surface and inside volumes in globular proteins -J Nature 277, 491-492 (1979) -C JANJ780102 0.966 NADH010102 0.945 RADA880107 0.906 - CHOC760103 0.905 EISD840101 0.900 NADH010103 0.899 - DESM900102 0.897 ROSG850102 0.892 JURD980101 0.879 - WARP780101 0.877 OLSK800101 0.870 NADH010104 0.868 - KYTJ820101 0.866 JANJ790101 0.860 BIOV880102 0.856 - RADA880108 0.853 MEIH800103 0.853 BIOV880101 0.848 - PONP800103 0.844 JACR890101 0.840 RADA880101 0.839 - EISD860103 0.838 CHOC760104 0.835 WOLR810101 0.828 - FAUJ830101 0.826 CORJ870101 0.825 CASG920101 0.822 - PONP800102 0.822 DESM900101 0.818 WOLR790101 0.818 - NADH010101 0.808 ROSM880105 0.805 PONP800108 0.802 - MIYS990103 -0.804 MIYS990105 -0.820 FAUJ880109 -0.822 - ROSM880101 -0.824 KRIW790101 -0.825 RACS770103 -0.834 - KUHL950101 -0.844 PUNT030101 -0.846 KRIW790102 -0.847 - RACS770102 -0.851 KIDA850101 -0.858 GUYH850101 -0.865 - ROSM880102 -0.866 FASG890101 -0.875 ENGD860101 -0.890 - PRAM900101 -0.890 MEIH800102 -0.894 GUYH850105 -0.913 - OOBM770101 -0.963 CHOC760102 -0.969 JANJ780103 -0.980 - JANJ780101 -0.989 GUYH850104 -0.999 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.3 -1.4 -0.5 -0.6 0.9 -0.7 -0.7 0.3 -0.1 0.7 - 0.5 -1.8 0.4 0.5 -0.3 -0.1 -0.2 0.3 -0.4 0.6 -// -H JOND750101 -D Hydrophobicity (Jones, 1975) -R PMID:1127956 -A Jones, D.D. -T Amino acid properties and side-chain orientation in proteins: A cross - correlation approach -J J. Theor. Biol. 50, 167-183 (1975) -C ARGP820101 1.000 SIMZ760101 0.966 GOLD730101 0.935 - TAKK010101 0.906 MEEJ810101 0.891 ROSM880104 0.872 - CIDH920105 0.866 LEVM760106 0.864 CIDH920102 0.861 - MEEJ800102 0.855 MEEJ810102 0.852 ZHOH040101 0.841 - CIDH920103 0.826 PLIV810101 0.819 CIDH920104 0.818 - LEVM760107 0.806 GUYH850103 -0.807 PARJ860101 -0.834 - WOLS870101 -0.837 BULH740101 -0.853 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.87 0.85 0.09 0.66 1.52 0.00 0.67 0.10 0.87 3.15 - 2.17 1.64 1.67 2.87 2.77 0.07 0.07 3.77 2.67 1.87 -// -H JOND750102 -D pK (-COOH) (Jones, 1975) -R PMID:1127956 -A Jones, D.D. -T Amino acid properties and side-chain orientation in proteins: A cross - correlation approach -J J. Theor. Biol. 50, 167-183 (1975) Original reference of this data: McMeekin, - T.L., Groves, M.L. and Hipp, N.J. In "Amino Acids and Serum Proteins" - (Stekol, J.A., ed.), American Chemical Society, Washington, D.C., p. 54 - (1964) -C FASG760105 0.833 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.34 1.18 2.02 2.01 1.65 2.17 2.19 2.34 1.82 2.36 - 2.36 2.18 2.28 1.83 1.99 2.21 2.10 2.38 2.20 2.32 -// -H JOND920101 -D Relative frequency of occurrence (Jones et al., 1992) -R PMID:1633570 -A Jones, D.T., Taylor, W.R. and Thornton, J.M. -T The rapid generation of mutation data matrices from protein sequences -J CABIOS 8, 275-282 (1992) -C CEDJ970102 0.995 NAKH900101 0.993 CEDJ970104 0.983 - CEDJ970101 0.968 DAYM780101 0.954 JUKT750101 0.953 - FUKS010110 0.944 FUKS010112 0.943 JUNJ780101 0.932 - CEDJ970103 0.911 KUMS000102 0.909 NAKH920101 0.900 - NAKH920107 0.893 NAKH920106 0.889 NAKH920104 0.887 - NAKH920103 0.881 NAKH900109 0.878 KUMS000101 0.863 - FUKS010109 0.861 NAKH900102 0.846 CEDJ970105 0.834 - FUKS010111 0.832 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.077 0.051 0.043 0.052 0.020 0.041 0.062 0.074 0.023 0.053 - 0.091 0.059 0.024 0.040 0.051 0.069 0.059 0.014 0.032 0.066 -// -H JOND920102 -D Relative mutability (Jones et al., 1992) -R PMID:1633570 -A Jones, D.T., Taylor, W.R. and Thornton, J.M. -T The rapid generation of mutation data matrices from protein sequences -J CABIOS 8, 275-282 (1992) -C DAYM780201 0.889 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 100. 83. 104. 86. 44. 84. 77. 50. 91. 103. - 54. 72. 93. 51. 58. 117. 107. 25. 50. 98. -// -H JUKT750101 -D Amino acid distribution (Jukes et al., 1975) -R PMID:237322 -A Jukes, T.H., Holmquist, R. and Moise, H. -T Amino acid composition of proteins: Selection against the genetic code -J Science 189, 50-51 (1975) -C JUNJ780101 0.980 DAYM780101 0.975 CEDJ970101 0.973 - JOND920101 0.953 KUMS000102 0.948 CEDJ970104 0.942 - CEDJ970102 0.942 NAKH900101 0.941 FUKS010111 0.927 - FUKS010110 0.908 KUMS000101 0.879 FUKS010112 0.875 - NAKH920107 0.862 NAKH920101 0.849 NAKH920103 0.837 - CEDJ970103 0.835 NAKH920106 0.831 NAKH920104 0.827 - NAKH900109 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.3 2.6 3.0 3.6 1.3 2.4 3.3 4.8 1.4 3.1 - 4.7 4.1 1.1 2.3 2.5 4.5 3.7 0.8 2.3 4.2 -// -H JUNJ780101 -D Sequence frequency (Jungck, 1978) -R PMID:691072 -A Jungck, J.R. -T The genetic code as a periodic table -J J. Mol. Evol. 11, 211-224 (1978) -C DAYM780101 0.986 JUKT750101 0.980 CEDJ970101 0.968 - JOND920101 0.932 KUMS000102 0.927 CEDJ970104 0.921 - CEDJ970102 0.920 NAKH900101 0.918 FUKS010111 0.906 - FUKS010110 0.868 NAKH920107 0.856 KUMS000101 0.854 - NAKH900102 0.853 FUKS010112 0.836 NAKH920106 0.829 - NAKH920101 0.826 NAKH920103 0.820 NAKH920104 0.807 - CEDJ970103 0.806 CEDJ970105 0.803 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 685. 382. 397. 400. 241. 313. 427. 707. 155. 394. - 581. 575. 132. 303. 366. 593. 490. 99. 292. 553. -// -H KANM800101 -D Average relative probability of helix (Kanehisa-Tsong, 1980) -R PMID:7426680 -A Kanehisa, M.I. and Tsong, T.Y. -T Local hydrophobicity stabilizes secondary structures in proteins -J Biopolymers 19, 1617-1628 (1980) -C ISOY800101 0.963 PALJ810102 0.962 LEVM780104 0.958 - CHOP780201 0.956 MAXF760101 0.950 ROBB760101 0.945 - GEIM800101 0.942 LEVM780101 0.942 PRAM900102 0.942 - PALJ810101 0.928 TANS770101 0.927 GEIM800104 0.916 - RACS820108 0.914 KANM800103 0.912 NAGK730101 0.883 - AURR980115 0.858 BURA740101 0.855 QIAN880106 0.854 - QIAN880107 0.854 AURR980109 0.852 AURR980114 0.852 - PALJ810109 0.849 AURR980112 0.847 CRAJ730101 0.842 - AURR980110 0.830 QIAN880105 0.827 MUNV940102 -0.843 - MUNV940101 -0.846 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.36 1.00 0.89 1.04 0.82 1.14 1.48 0.63 1.11 1.08 - 1.21 1.22 1.45 1.05 0.52 0.74 0.81 0.97 0.79 0.94 -// -H KANM800102 -D Average relative probability of beta-sheet (Kanehisa-Tsong, 1980) -R PMID:7426680 -A Kanehisa, M.I. and Tsong, T.Y. -T Local hydrophobicity stabilizes secondary structures in proteins -J Biopolymers 19, 1617-1628 (1980) -C GEIM800107 0.955 PALJ810104 0.948 CHOP780202 0.945 - LIFS790101 0.940 LEVM780105 0.938 ROBB760106 0.938 - PALJ810103 0.932 KANM800104 0.928 PTIO830102 0.917 - GEIM800105 0.916 QIAN880121 0.900 ROBB760105 0.898 - QIAN880120 0.896 QIAN880119 0.888 NAGK730102 0.878 - PALJ810112 0.869 BASU050103 0.869 PONP930101 0.866 - LIFS790103 0.863 AVBF000101 0.859 BASU050101 0.856 - LEVM780102 0.856 PRAM900103 0.856 PONP800108 0.849 - CORJ870101 0.839 PALJ810110 0.836 MANP780101 0.833 - PONP800101 0.829 GEIM800106 0.821 NISK860101 0.819 - PONP800102 0.815 NISK800101 0.809 CHOP780208 0.804 - PONP800103 0.803 LIFS790102 0.801 QIAN880118 0.801 - PUNT030102 -0.803 MIYS990104 -0.808 OOBM770103 -0.812 - GEIM800110 -0.814 MIYS990103 -0.823 MUNV940103 -0.916 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.81 0.85 0.62 0.71 1.17 0.98 0.53 0.88 0.92 1.48 - 1.24 0.77 1.05 1.20 0.61 0.92 1.18 1.18 1.23 1.66 -// -H KANM800103 -D Average relative probability of inner helix (Kanehisa-Tsong, 1980) -R PMID:7426680 -A Kanehisa, M.I. and Tsong, T.Y. -T Local hydrophobicity stabilizes secondary structures in proteins -J Biopolymers 19, 1617-1628 (1980) -C AURR980109 0.944 ISOY800101 0.931 PALJ810102 0.916 - AURR980114 0.916 KANM800101 0.912 CHOP780201 0.912 - QIAN880107 0.908 AURR980113 0.905 MAXF760101 0.901 - BEGF750101 0.893 QIAN880106 0.889 ROBB760103 0.887 - ROBB760101 0.886 GEIM800101 0.881 AURR980112 0.871 - LEVM780104 0.859 RACS820108 0.858 AURR980108 0.857 - PRAM900102 0.850 LEVM780101 0.850 TANS770101 0.843 - PALJ810101 0.836 RICJ880109 0.829 QIAN880108 0.829 - QIAN880109 0.824 FINA770101 0.823 QIAN880110 0.820 - SUEM840101 0.820 QIAN880105 0.820 BURA740101 0.810 - CHOP780216 -0.808 GEIM800111 -0.812 PRAM900104 -0.814 - LEVM780103 -0.816 MUNV940102 -0.823 CHOP780101 -0.824 - MUNV940101 -0.826 PALJ810106 -0.840 NAGK730103 -0.847 - CHAM830101 -0.889 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.45 1.15 0.64 0.91 0.70 1.14 1.29 0.53 1.13 1.23 - 1.56 1.27 1.83 1.20 0.21 0.48 0.77 1.17 0.74 1.10 -// -H KANM800104 -D Average relative probability of inner beta-sheet (Kanehisa-Tsong, 1980) -R PMID:7426680 -A Kanehisa, M.I. and Tsong, T.Y. -T Local hydrophobicity stabilizes secondary structures in proteins -J Biopolymers 19, 1617-1628 (1980) -C KANM800102 0.928 ROBB760105 0.885 ROBB760106 0.877 - GEIM800107 0.876 GEIM800105 0.861 PTIO830102 0.858 - PALJ810104 0.851 BASU050101 0.850 PONP800108 0.849 - BASU050103 0.848 LEVM780105 0.841 QIAN880119 0.841 - CHOP780202 0.839 LIFS790101 0.834 PONP930101 0.833 - CORJ870101 0.833 QIAN880121 0.829 MANP780101 0.827 - JURD980101 0.826 KYTJ820101 0.824 PALJ810103 0.823 - PONP800101 0.823 PALJ810112 0.813 PONP800102 0.813 - LIFS790102 0.809 QIAN880120 0.803 MUNV940103 -0.857 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.75 0.79 0.33 0.31 1.46 0.75 0.46 0.83 0.83 1.87 - 1.56 0.66 0.86 1.37 0.52 0.82 1.36 0.79 1.08 2.00 -// -H KARP850101 -D Flexibility parameter for no rigid neighbors (Karplus-Schulz, 1985) -R -A Karplus, P.A. and Schulz, G.E. -T Prediction of chain flexibility in proteins -J Naturwiss. 72, 212-213 (1985) -C VINM940102 0.874 VINM940103 0.837 RACS770101 0.837 - FUKS010103 0.834 MEIH800101 0.832 MIYS990104 0.822 - VINM940101 0.821 PARS000101 0.816 GUYH850102 0.811 - CIDH920104 -0.801 BIOV880102 -0.804 RADA880108 -0.804 - ROSG850101 -0.807 MIYS850101 -0.811 MEEJ810101 -0.818 - BASU050102 -0.819 BIOV880101 -0.825 NISK860101 -0.828 - ZHOH040101 -0.833 WERD780101 -0.842 ZHOH040103 -0.846 - CIDH920101 -0.864 CIDH920105 -0.866 CIDH920102 -0.873 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.041 1.038 1.117 1.033 0.960 1.165 1.094 1.142 0.982 1.002 - 0.967 1.093 0.947 0.930 1.055 1.169 1.073 0.925 0.961 0.982 -// -H KARP850102 -D Flexibility parameter for one rigid neighbor (Karplus-Schulz, 1985) -R -A Karplus, P.A. and Schulz, G.E. -T Prediction of chain flexibility in proteins -J Naturwiss. 72, 212-213 (1985) -C KRIW790101 0.917 MIYS990104 0.909 MIYS990103 0.901 - MIYS990105 0.888 VINM940101 0.885 MEIH800101 0.884 - GUYH850102 0.882 FASG890101 0.871 RACS770101 0.869 - CORJ870108 0.868 VINM940103 0.863 KRIW710101 0.855 - PARS000101 0.852 RACS770102 0.852 KRIW790102 0.843 - GUYH850101 0.840 MEIH800102 0.837 FUKS010103 0.835 - VINM940102 0.834 MIYS990102 0.828 MIYS990101 0.825 - FUKS010104 0.822 OOBM770103 0.820 BHAR880101 0.806 - PUNT030101 0.805 BASU050103 -0.806 NADH010102 -0.807 - DESM900102 -0.815 PONP800106 -0.820 BASU050102 -0.825 - CIDH920101 -0.828 DESM900101 -0.829 CORJ870104 -0.830 - CIDH920104 -0.833 NADH010103 -0.834 CORJ870105 -0.834 - NADH010104 -0.835 ZHOH040103 -0.836 CIDH920105 -0.839 - BAEK050101 -0.839 CORJ870103 -0.850 CIDH920103 -0.852 - BIOV880102 -0.859 MANP780101 -0.863 CORJ870101 -0.865 - CORJ870107 -0.866 PONP800103 -0.870 CORJ870106 -0.870 - MIYS850101 -0.878 RADA880108 -0.879 BIOV880101 -0.880 - NISK800101 -0.885 PONP800102 -0.887 PONP800101 -0.889 - PONP930101 -0.893 ROSG850102 -0.897 CASG920101 -0.901 - NISK860101 -0.901 WERD780101 -0.909 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.946 1.028 1.006 1.089 0.878 1.025 1.036 1.042 0.952 0.892 - 0.961 1.082 0.862 0.912 1.085 1.048 1.051 0.917 0.930 0.927 -// -H KARP850103 -D Flexibility parameter for two rigid neighbors (Karplus-Schulz, 1985) -R -A Karplus, P.A. and Schulz, G.E. -T Prediction of chain flexibility in proteins -J Naturwiss. 72, 212-213 (1985) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.892 0.901 0.930 0.932 0.925 0.885 0.933 0.923 0.894 0.872 - 0.921 1.057 0.804 0.914 0.932 0.923 0.934 0.803 0.837 0.913 -// -H KHAG800101 -D The Kerr-constant increments (Khanarian-Moore, 1980) -R -A Khanarian, G. and Moore, W.J. -T The Kerr effect of amino acids in water -J Aust. J. Chem. 33, 1727-1741 (1980) (Cys Lys Tyr !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 49.1 133. -3.6 0. 0. 20. 0. 64.6 75.7 18.9 - 15.6 0. 6.8 54.7 43.8 44.4 31.0 70.5 0. 29.5 -// -H KLEP840101 -D Net charge (Klein et al., 1984) -R PMID:6547351 -A Klein, P., Kanehisa, M. and DeLisi, C. -T Prediction of protein function from sequence properties: Discriminant - analysis of a data base -J Biochim. Biophys. Acta 787, 221-226 (1984) -C ZIMJ680104 0.941 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 1. 0. -1. 0. 0. -1. 0. 0. 0. - 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. -// -H KRIW710101 -D Side chain interaction parameter (Krigbaum-Rubin, 1971) -R PMID:5553983 -A Krigbaum, W.R. and Rubin, B.H. -T Local interactions as structure determinant for globular proteins -J Biochim. Biophys. Acta 229, 368-383 (1971) -C KRIW790101 0.908 FASG890101 0.865 MIYS990103 0.856 - KARP850102 0.855 KRIW790102 0.839 MIYS990104 0.837 - GUYH850101 0.831 GUYH850102 0.811 MIYS990105 0.801 - DESM900101 -0.807 CASG920101 -0.808 CORJ870101 -0.812 - BIOV880101 -0.813 JANJ790101 -0.815 WERD780101 -0.819 - NADH010102 -0.825 NISK800101 -0.831 PONP800106 -0.841 - NADH010105 -0.842 NADH010106 -0.846 RADA880108 -0.847 - PONP800101 -0.850 ROSG850102 -0.852 NADH010103 -0.860 - NADH010104 -0.874 PONP800102 -0.887 PONP800103 -0.890 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.60 6.50 5.90 5.70 -1.00 6.10 5.60 7.60 4.50 2.60 - 3.25 7.90 1.40 3.20 7.00 5.25 4.80 4.00 4.35 3.40 -// -H KRIW790101 -D Side chain interaction parameter (Krigbaum-Komoriya, 1979) -R PMID:760806 -A Krigbaum, W.R. and Komoriya, A. -T Local interactions as a structure determinant for protein molecules: II -J Biochim. Biophys. Acta 576, 204-228 (1979) -C MIYS990104 0.945 MIYS990103 0.944 MIYS990105 0.925 - KARP850102 0.917 FASG890101 0.914 KRIW790102 0.914 - KRIW710101 0.908 VINM940101 0.890 GUYH850101 0.885 - GUYH850102 0.878 MEIH800102 0.876 VINM940103 0.875 - MIYS990102 0.873 RACS770102 0.871 MIYS990101 0.870 - MEIH800101 0.869 OOBM770103 0.865 GRAR740102 0.847 - VINM940102 0.834 PUNT030101 0.833 CORJ870108 0.833 - MONM990101 0.830 RACS770101 0.828 FUKS010104 0.828 - PUNT030102 0.826 GUYH850104 0.822 OOBM770101 0.816 - JANJ780103 0.805 PARS000101 0.804 CORJ870104 -0.801 - PTIO830102 -0.801 QIAN880121 -0.803 KYTJ820101 -0.805 - JANJ790101 -0.810 CIDH920105 -0.816 CIDH920103 -0.819 - BASU050101 -0.821 JURD980101 -0.824 JANJ790102 -0.825 - CORJ870106 -0.825 NADH010101 -0.827 CORJ870103 -0.830 - CORJ870107 -0.832 JANJ780102 -0.837 DESM900101 -0.847 - MEIH800103 -0.850 DESM900102 -0.859 PONP800108 -0.860 - BAEK050101 -0.860 BASU050103 -0.860 NADH010106 -0.861 - FAUJ830101 -0.865 BASU050102 -0.867 CIDH920104 -0.867 - MANP780101 -0.870 BIOV880102 -0.876 PONP800101 -0.888 - NISK800101 -0.896 RADA880108 -0.897 NADH010105 -0.898 - WERD780101 -0.899 CORJ870101 -0.902 ZHOH040103 -0.905 - NISK860101 -0.907 PONP930101 -0.909 MIYS850101 -0.910 - BIOV880101 -0.910 CASG920101 -0.911 PONP800102 -0.915 - NADH010102 -0.929 PONP800103 -0.930 ROSG850102 -0.935 - NADH010103 -0.954 NADH010104 -0.958 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.32 6.55 6.24 6.04 1.73 6.13 6.17 6.09 5.66 2.31 - 3.93 7.92 2.44 2.59 7.19 5.37 5.16 2.78 3.58 3.31 -// -H KRIW790102 -D Fraction of site occupied by water (Krigbaum-Komoriya, 1979) -R PMID:760806 -A Krigbaum, W.R. and Komoriya, A. -T Local interactions as a structure determinant for protein molecules: II -J Biochim. Biophys. Acta 576, 204-228 (1979) -C KRIW790101 0.914 MIYS990103 0.899 MEIH800102 0.898 - RACS770102 0.895 RACS770103 0.889 MIYS990104 0.889 - MIYS990105 0.887 FASG890101 0.882 GUYH850101 0.864 - FUKS010104 0.853 VINM940101 0.853 GUYH850104 0.849 - JANJ780103 0.848 KARP850102 0.843 GUYH850102 0.841 - KRIW710101 0.839 VINM940103 0.836 MEIH800101 0.835 - MIYS990102 0.826 OOBM770103 0.824 OOBM770101 0.822 - MIYS990101 0.821 RACS770101 0.814 PUNT030101 0.811 - PONP800101 -0.804 CORJ870103 -0.812 CORJ870107 -0.816 - JANJ780102 -0.818 PONP930101 -0.821 PONP800102 -0.830 - DESM900101 -0.835 CORJ870101 -0.838 JANJ790102 -0.847 - DESM900102 -0.852 PONP800103 -0.853 NISK860101 -0.855 - RADA880108 -0.856 CASG920101 -0.865 BIOV880101 -0.869 - MIYS850101 -0.869 WERD780101 -0.875 BIOV880102 -0.878 - NADH010104 -0.882 MEIH800103 -0.885 NADH010103 -0.887 - NADH010102 -0.890 ROSG850102 -0.922 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.28 0.34 0.31 0.33 0.11 0.39 0.37 0.28 0.23 0.12 - 0.16 0.59 0.08 0.10 0.46 0.27 0.26 0.15 0.25 0.22 -// -H KRIW790103 -D Side chain volume (Krigbaum-Komoriya, 1979) -R PMID:760806 -A Krigbaum, W.R. and Komoriya, A. -T Local interactions as a structure determinant for protein molecules: II -J Biochim. Biophys. Acta 576, 204-228 (1979) (Gly Pro 7.8) -C GOLD730102 0.994 BIGC670101 0.993 GRAR740103 0.989 - TSAJ990101 0.988 TSAJ990102 0.987 CHOC750101 0.982 - FAUJ880103 0.965 CHAM820101 0.963 HARY940101 0.956 - CHOC760101 0.948 PONJ960101 0.943 ROSG850101 0.920 - FASG760101 0.910 LEVM760105 0.900 DAWD720101 0.893 - ZHOH040102 0.884 LEVM760102 0.884 RADA880106 0.883 - CHAM830106 0.876 LEVM760106 0.862 LEVM760107 0.860 - FAUJ880106 0.845 MCMT640101 0.810 RADA880103 -0.871 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 27.5 105.0 58.7 40.0 44.6 80.7 62.0 0.0 79.0 93.5 - 93.5 100.0 94.1 115.5 41.9 29.3 51.3 145.5 117.3 71.5 -// -H KYTJ820101 -D Hydropathy index (Kyte-Doolittle, 1982) -R PMID:7108955 -A Kyte, J. and Doolittle, R.F. -T A simple method for displaying the hydropathic character of a protein -J J. Mol. Biol. 157, 105-132 (1982) -C JURD980101 0.996 CHOC760103 0.964 OLSK800101 0.942 - JANJ780102 0.922 NADH010102 0.920 NADH010101 0.918 - DESM900102 0.898 EISD860103 0.897 CHOC760104 0.889 - NADH010103 0.885 WOLR810101 0.885 RADA880101 0.884 - MANP780101 0.881 EISD840101 0.878 PONP800103 0.870 - WOLR790101 0.869 NAKH920108 0.868 JANJ790101 0.867 - JANJ790102 0.866 BASU050103 0.863 PONP800102 0.861 - MEIH800103 0.856 NADH010104 0.856 PONP800101 0.851 - PONP800108 0.850 CORJ870101 0.848 WARP780101 0.845 - COWR900101 0.845 PONP930101 0.844 RADA880108 0.842 - ROSG850102 0.841 DESM900101 0.837 BLAS910101 0.836 - BIOV880101 0.829 RADA880107 0.828 BASU050101 0.826 - KANM800104 0.824 LIFS790102 0.824 CIDH920104 0.824 - MIYS850101 0.821 RADA880104 0.819 NAKH900111 0.817 - CORJ870104 0.812 NISK800101 0.812 FAUJ830101 0.811 - ROSM880105 0.806 ARGP820103 0.806 CORJ870103 0.806 - NADH010105 0.804 NAKH920105 0.803 ARGP820102 0.803 - CORJ870107 0.801 MIYS990104 -0.800 CORJ870108 -0.802 - KRIW790101 -0.805 MIYS990105 -0.818 MIYS990103 -0.833 - CHOC760102 -0.838 MIYS990101 -0.840 MIYS990102 -0.840 - MONM990101 -0.842 GUYH850101 -0.843 FASG890101 -0.844 - RACS770102 -0.844 ROSM880101 -0.845 JANJ780103 -0.845 - ENGD860101 -0.850 PRAM900101 -0.850 JANJ780101 -0.852 - GRAR740102 -0.859 PUNT030102 -0.862 GUYH850104 -0.869 - MEIH800102 -0.871 PUNT030101 -0.872 ROSM880102 -0.878 - KUHL950101 -0.883 GUYH850105 -0.883 OOBM770101 -0.899 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.8 -4.5 -3.5 -3.5 2.5 -3.5 -3.5 -0.4 -3.2 4.5 - 3.8 -3.9 1.9 2.8 -1.6 -0.8 -0.7 -0.9 -1.3 4.2 -// -H LAWE840101 -D Transfer free energy, CHP/water (Lawson et al., 1984) -R PMID:6699000 -A Lawson, E.Q., Sadler, A.J., Harmatz, D., Brandau, D.T., Micanovic, R. - MacElroy, R.D. and Middaught, C.R. -T A simple experimental model for hydrophobic interactions in proteins -J J. Biol. Chem. 259, 2910-2912 (1984) -C GOLD730101 0.829 SIMZ760101 0.815 ZIMJ680105 0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.48 -0.06 -0.87 -0.75 -0.32 -0.32 -0.71 0.00 -0.51 0.81 - 1.02 -0.09 0.81 1.03 2.03 0.05 -0.35 0.66 1.24 0.56 -// -H LEVM760101 -D Hydrophobic parameter (Levitt, 1976) -R PMID:957439 -A Levitt, M. -T A simplified representation of protein conformations for rapid simulation of - protein folfing -J J. Mol. Biol. 104, 59-107 (1976) -C HOPT810101 0.985 KIDA850101 0.915 ENGD860101 0.881 - PRAM900101 0.881 ROSM880101 0.876 WOEC730101 0.872 - FUKS010104 0.869 GRAR740102 0.865 PUNT030102 0.848 - WOLS870101 0.845 FUKS010102 0.837 PUNT030101 0.835 - MIYS990105 0.828 VHEG790101 0.825 ROSM880102 0.823 - VINM940101 0.815 KUHL950101 0.807 PARJ860101 0.806 - OOBM770103 0.805 MIYS990104 0.801 PLIV810101 -0.801 - BASU050103 -0.808 ZHOH040103 -0.811 WIMW960101 -0.812 - RADA880108 -0.824 BIOV880101 -0.831 JACR890101 -0.832 - RADA880101 -0.838 RADA880102 -0.838 ZIMJ680105 -0.844 - BIOV880102 -0.847 MEEJ800102 -0.855 EISD840101 -0.859 - BLAS910101 -0.889 FAUJ830101 -0.919 EISD860101 -0.921 - ROSM880105 -0.954 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.5 3.0 0.2 2.5 -1.0 0.2 2.5 0.0 -0.5 -1.8 - -1.8 3.0 -1.3 -2.5 -1.4 0.3 -0.4 -3.4 -2.3 -1.5 -// -H LEVM760102 -D Distance between C-alpha and centroid of side chain (Levitt, 1976) -R PMID:957439 -A Levitt, M. -T A simplified representation of protein conformations for rapid simulation of - protein folfing -J J. Mol. Biol. 104, 59-107 (1976) -C LEVM760105 0.987 CHOC760101 0.972 FASG760101 0.966 - CHAM830106 0.962 FAUJ880103 0.947 CHOC750101 0.933 - PONJ960101 0.930 TSAJ990102 0.918 CHAM820101 0.915 - TSAJ990101 0.910 HARY940101 0.905 FAUJ880106 0.900 - BIGC670101 0.896 GOLD730102 0.893 GRAR740103 0.885 - KRIW790103 0.884 WOLS870102 0.881 DAWD720101 0.873 - RADA880106 0.871 OOBM770102 0.869 FAUJ880104 0.867 - CHAM830105 0.843 HUTJ700102 0.835 RADA880103 -0.913 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.77 3.72 1.98 1.99 1.38 2.58 2.63 0.00 2.76 1.83 - 2.08 2.94 2.34 2.97 1.42 1.28 1.43 3.58 3.36 1.49 -// -H LEVM760103 -D Side chain angle theta(AAR) (Levitt, 1976) -R PMID:957439 -A Levitt, M. -T A simplified representation of protein conformations for rapid simulation of - protein folfing -J J. Mol. Biol. 104, 59-107 (1976) (Gly missing) -C AVBF000102 0.816 RICJ880115 -0.829 LEVM760104 -0.840 - KIMC930101 -0.861 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 121.9 121.4 117.5 121.2 113.7 118.0 118.2 0. 118.2 118.9 - 118.1 122.0 113.1 118.2 81.9 117.9 117.1 118.4 110.0 121.7 -// -H LEVM760104 -D Side chain torsion angle phi(AAAR) (Levitt, 1976) -R PMID:957439 -A Levitt, M. -T A simplified representation of protein conformations for rapid simulation of - protein folfing -J J. Mol. Biol. 104, 59-107 (1976) -C KIMC930101 0.842 PRAM820102 0.812 CHAM810101 -0.818 - LEVM760103 -0.840 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 243.2 206.6 207.1 215.0 209.4 205.4 213.6 300.0 219.9 217.9 - 205.6 210.9 204.0 203.7 237.4 232.0 226.7 203.7 195.6 220.3 -// -H LEVM760105 -D Radius of gyration of side chain (Levitt, 1976) -R PMID:957439 -A Levitt, M. -T A simplified representation of protein conformations for rapid simulation of - protein folfing -J J. Mol. Biol. 104, 59-107 (1976) (Gly 0.089) -C LEVM760102 0.987 CHOC760101 0.968 CHAM830106 0.958 - FASG760101 0.951 FAUJ880103 0.945 CHOC750101 0.939 - PONJ960101 0.928 TSAJ990102 0.928 TSAJ990101 0.922 - HARY940101 0.919 CHAM820101 0.915 BIGC670101 0.913 - GOLD730102 0.911 GRAR740103 0.900 KRIW790103 0.900 - DAWD720101 0.898 FAUJ880104 0.896 FAUJ880106 0.889 - RADA880106 0.871 OOBM770102 0.868 HUTJ700102 0.864 - WOLS870102 0.836 HUTJ700103 0.834 CHAM830105 0.829 - RADA880103 -0.893 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.77 2.38 1.45 1.43 1.22 1.75 1.77 0.58 1.78 1.56 - 1.54 2.08 1.80 1.90 1.25 1.08 1.24 2.21 2.13 1.29 -// -H LEVM760106 -D van der Waals parameter R0 (Levitt, 1976) -R PMID:957439 -A Levitt, M. -T A simplified representation of protein conformations for rapid simulation of - protein folfing -J J. Mol. Biol. 104, 59-107 (1976) -C ZHOH040102 0.905 ROSG850101 0.896 ZHOH040101 0.883 - BIGC670101 0.876 GOLD730102 0.875 ZIMJ680102 0.873 - CIDH920102 0.873 ARGP820101 0.865 JOND750101 0.864 - KRIW790103 0.862 TSAJ990101 0.849 SIMZ760101 0.848 - GRAR740103 0.846 CHOC750101 0.841 TSAJ990102 0.841 - TAKK010101 0.841 PLIV810101 0.830 HARY940101 0.829 - CIDH920105 0.828 GOLD730101 0.827 MEEJ810101 0.827 - CIDH920101 0.826 CHAM820101 0.818 BASU050102 0.805 - ROBB790101 0.804 LEVM760107 0.804 BULH740101 -0.818 - GUYH850103 -0.822 FUKS010103 -0.829 PARJ860101 -0.832 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.2 6.0 5.0 5.0 6.1 6.0 6.0 4.2 6.0 7.0 - 7.0 6.0 6.8 7.1 6.2 4.9 5.0 7.6 7.1 6.4 -// -H LEVM760107 -D van der Waals parameter epsilon (Levitt, 1976) -R PMID:957439 -A Levitt, M. -T A simplified representation of protein conformations for rapid simulation of - protein folfing -J J. Mol. Biol. 104, 59-107 (1976) -C CHAM820101 0.891 FAUJ880103 0.875 TSAJ990101 0.866 - GOLD730102 0.865 BIGC670101 0.863 TSAJ990102 0.861 - GARJ730101 0.860 KRIW790103 0.860 CHOC750101 0.858 - ZHOH040101 0.855 ROSG850101 0.852 NOZY710101 0.845 - ZHOH040102 0.843 GRAR740103 0.841 PONJ960101 0.827 - TAKK010101 0.819 SNEP660103 0.818 HARY940101 0.815 - FASG760101 0.815 CHOC760101 0.807 JOND750101 0.806 - ARGP820101 0.806 LEVM760106 0.804 WEBA780101 -0.923 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.025 0.20 0.10 0.10 0.10 0.10 0.10 0.025 0.10 0.19 - 0.19 0.20 0.19 0.39 0.17 0.025 0.10 0.56 0.39 0.15 -// -H LEVM780101 -D Normalized frequency of alpha-helix, with weights (Levitt, 1978) -R PMID:708713 -A Levitt, M. -T Conformational preferences of amino acids in globular proteins -J Biochemistry 17, 4277-4285 (1978) -C PRAM900102 1.000 LEVM780104 0.964 PALJ810101 0.943 - KANM800101 0.942 ISOY800101 0.929 MAXF760101 0.924 - ROBB760101 0.916 GEIM800101 0.912 GEIM800104 0.907 - RACS820108 0.904 PALJ810102 0.902 PALJ810109 0.898 - NAGK730101 0.894 CRAJ730101 0.887 CHOP780201 0.873 - TANS770101 0.854 KANM800103 0.850 QIAN880107 0.829 - QIAN880106 0.827 BURA740101 0.805 NAGK730103 -0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.29 0.96 0.90 1.04 1.11 1.27 1.44 0.56 1.22 0.97 - 1.30 1.23 1.47 1.07 0.52 0.82 0.82 0.99 0.72 0.91 -// -H LEVM780102 -D Normalized frequency of beta-sheet, with weights (Levitt, 1978) -R PMID:708713 -A Levitt, M. -T Conformational preferences of amino acids in globular proteins -J Biochemistry 17, 4277-4285 (1978) -C PRAM900103 1.000 PALJ810112 0.913 LEVM780105 0.899 - PALJ810104 0.868 PTIO830102 0.865 LIFS790101 0.864 - QIAN880120 0.858 KANM800102 0.856 PALJ810103 0.846 - GEIM800107 0.842 BEGF750102 0.834 QIAN880119 0.834 - CHOP780202 0.833 AVBF000101 0.815 QIAN880121 0.805 - MUNV940103 -0.848 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.90 0.99 0.76 0.72 0.74 0.80 0.75 0.92 1.08 1.45 - 1.02 0.77 0.97 1.32 0.64 0.95 1.21 1.14 1.25 1.49 -// -H LEVM780103 -D Normalized frequency of reverse turn, with weights (Levitt, 1978) -R PMID:708713 -A Levitt, M. -T Conformational preferences of amino acids in globular proteins -J Biochemistry 17, 4277-4285 (1978) -C PRAM900104 1.000 LEVM780106 0.984 GEIM800111 0.952 - CHOP780216 0.952 QIAN880133 0.948 QIAN880134 0.935 - ISOY800103 0.932 QIAN880132 0.931 GEIM800108 0.931 - CHOP780203 0.927 CHAM830101 0.909 PALJ810105 0.909 - QIAN880135 0.906 CHOP780101 0.893 TANS770110 0.875 - CHOP780210 0.852 PALJ810106 0.848 RACS770101 0.808 - AURR980109 -0.814 KANM800103 -0.816 QIAN880108 -0.820 - QIAN880107 -0.834 AVBF000102 -0.834 ROBB760103 -0.843 - FAUJ880102 -0.846 QIAN880109 -0.848 PTIO830101 -0.860 - SUEM840101 -0.864 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.77 0.88 1.28 1.41 0.81 0.98 0.99 1.64 0.68 0.51 - 0.58 0.96 0.41 0.59 1.91 1.32 1.04 0.76 1.05 0.47 -// -H LEVM780104 -D Normalized frequency of alpha-helix, unweighted (Levitt, 1978) -R PMID:708713 -A Levitt, M. -T Conformational preferences of amino acids in globular proteins -J Biochemistry 17, 4277-4285 (1978) -C PALJ810101 0.988 PRAM900102 0.964 LEVM780101 0.964 - KANM800101 0.958 GEIM800101 0.950 NAGK730101 0.918 - ROBB760101 0.911 TANS770101 0.908 PALJ810102 0.906 - MAXF760101 0.904 ISOY800101 0.904 RACS820108 0.889 - CHOP780201 0.886 GEIM800104 0.872 CRAJ730101 0.869 - KANM800103 0.859 BURA740101 0.833 QIAN880107 0.822 - PALJ810109 0.819 AURR980115 0.818 QIAN880106 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.32 0.98 0.95 1.03 0.92 1.10 1.44 0.61 1.31 0.93 - 1.31 1.25 1.39 1.02 0.58 0.76 0.79 0.97 0.73 0.93 -// -H LEVM780105 -D Normalized frequency of beta-sheet, unweighted (Levitt, 1978) -R PMID:708713 -A Levitt, M. -T Conformational preferences of amino acids in globular proteins -J Biochemistry 17, 4277-4285 (1978) -C PALJ810103 0.980 KANM800102 0.938 CHOP780202 0.930 - LIFS790101 0.928 GEIM800105 0.926 PALJ810104 0.921 - QIAN880120 0.913 QIAN880119 0.903 PRAM900103 0.899 - LEVM780102 0.899 LIFS790103 0.897 PTIO830102 0.894 - GEIM800107 0.884 QIAN880121 0.876 PALJ810112 0.870 - ROBB760106 0.869 ROBB760105 0.842 KANM800104 0.841 - AVBF000101 0.824 QIAN880118 0.819 MUNV940103 -0.891 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.86 0.97 0.73 0.69 1.04 1.00 0.66 0.89 0.85 1.47 - 1.04 0.77 0.93 1.21 0.68 1.02 1.27 1.26 1.31 1.43 -// -H LEVM780106 -D Normalized frequency of reverse turn, unweighted (Levitt, 1978) -R PMID:708713 -A Levitt, M. -T Conformational preferences of amino acids in globular proteins -J Biochemistry 17, 4277-4285 (1978) -C LEVM780103 0.984 PRAM900104 0.983 QIAN880133 0.971 - CHOP780216 0.953 GEIM800111 0.951 QIAN880132 0.943 - ISOY800103 0.941 CHOP780203 0.935 QIAN880134 0.932 - GEIM800108 0.932 QIAN880135 0.902 PALJ810105 0.902 - CHAM830101 0.900 TANS770110 0.892 CHOP780101 0.890 - PALJ810106 0.850 MUNV940103 0.815 CHOP780210 0.812 - GEIM800110 0.809 AVBF000101 -0.805 LIFS790101 -0.806 - QIAN880119 -0.810 QIAN880107 -0.813 QIAN880109 -0.815 - QIAN880120 -0.831 PTIO830101 -0.854 AVBF000102 -0.860 - FAUJ880102 -0.865 SUEM840101 -0.878 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.79 0.90 1.25 1.47 0.79 0.92 1.02 1.67 0.81 0.50 - 0.57 0.99 0.51 0.77 1.78 1.30 0.97 0.79 0.93 0.46 -// -H LEWP710101 -D Frequency of occurrence in beta-bends (Lewis et al., 1971) -R PMID:5289387 -A Lewis, P. N., Momany, F.A. and Scheraga, H.A. -T Folding of polypeptide chains in proteins: A proposed mechanism for folding -J Proc. Natl. Acad. Sci. USA 68, 2293-2297 (1971) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.22 0.28 0.42 0.73 0.20 0.26 0.08 0.58 0.14 0.22 - 0.19 0.27 0.38 0.08 0.46 0.55 0.49 0.43 0.46 0.08 -// -H LIFS790101 -D Conformational preference for all beta-strands (Lifson-Sander, 1979) -R PMID:503185 -A Lifson, S. and Sander, C. -T Antiparallel and parallel beta-strands differ in amino acid residue - preference -J Nature 282, 109-111 (1979) -C QIAN880120 0.969 CHOP780202 0.947 LIFS790103 0.944 - PTIO830102 0.941 KANM800102 0.940 QIAN880121 0.930 - PALJ810104 0.929 QIAN880119 0.929 LEVM780105 0.928 - PALJ810103 0.912 PONP930101 0.908 ROBB760106 0.906 - GEIM800107 0.888 BASU050101 0.886 ROBB760105 0.867 - BASU050103 0.865 PRAM900103 0.864 LEVM780102 0.864 - BASU050102 0.861 MANP780101 0.859 NISK860101 0.859 - AVBF000101 0.857 GEIM800105 0.855 PALJ810112 0.845 - CORJ870106 0.836 KANM800104 0.834 CIDH920104 0.832 - CORJ870105 0.830 CIDH920105 0.828 PONP800108 0.828 - NISK800101 0.827 CORJ870101 0.826 PONP800101 0.823 - CHOP780208 0.820 CORJ870107 0.820 PALJ810110 0.817 - SWER830101 0.815 CIDH920103 0.815 CORJ870102 0.815 - ZHOH040103 0.815 VENT840101 0.814 CIDH920102 0.808 - BEGF750102 0.807 LIFS790102 0.803 PONP800107 0.801 - GEIM800111 -0.801 QIAN880134 -0.804 LEVM780106 -0.806 - QIAN880132 -0.806 MEIH800101 -0.809 PUNT030102 -0.809 - MIYS990101 -0.811 CORJ870108 -0.811 MIYS990102 -0.813 - VINM940101 -0.834 MIYS990103 -0.838 VINM940102 -0.843 - MIYS990104 -0.843 PARS000101 -0.844 QIAN880133 -0.848 - OOBM770103 -0.855 GEIM800110 -0.862 MUNV940103 -0.941 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.92 0.93 0.60 0.48 1.16 0.95 0.61 0.61 0.93 1.81 - 1.30 0.70 1.19 1.25 0.40 0.82 1.12 1.54 1.53 1.81 -// -H LIFS790102 -D Conformational preference for parallel beta-strands (Lifson-Sander, 1979) -R PMID:503185 -A Lifson, S. and Sander, C. -T Antiparallel and parallel beta-strands differ in amino acid residue - preference -J Nature 282, 109-111 (1979) -C PTIO830102 0.874 MANP780101 0.870 PONP800107 0.849 - PONP930101 0.833 JURD980101 0.824 KYTJ820101 0.824 - OLSK800101 0.818 CHOC760103 0.810 KANM800104 0.809 - PONP800101 0.804 LIFS790101 0.803 KANM800102 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 0.68 0.54 0.50 0.91 0.28 0.59 0.79 0.38 2.60 - 1.42 0.59 1.49 1.30 0.35 0.70 0.59 0.89 1.08 2.63 -// -H LIFS790103 -D Conformational preference for antiparallel beta-strands (Lifson-Sander, 1979) -R PMID:503185 -A Lifson, S. and Sander, C. -T Antiparallel and parallel beta-strands differ in amino acid residue - preference -J Nature 282, 109-111 (1979) -C LIFS790101 0.944 QIAN880120 0.939 CHOP780202 0.908 - LEVM780105 0.897 QIAN880121 0.882 PALJ810103 0.877 - QIAN880119 0.877 KANM800102 0.863 PALJ810104 0.860 - GEIM800105 0.832 ROBB760106 0.827 BASU050102 0.826 - GEIM800107 0.823 PTIO830102 0.822 GEIM800106 0.814 - AVBF000101 0.814 ZHOH040101 0.801 OOBM770103 -0.807 - VINM940101 -0.829 PARS000101 -0.861 VINM940102 -0.862 - GEIM800110 -0.889 MUNV940103 -0.902 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.90 1.02 0.62 0.47 1.24 1.18 0.62 0.56 1.12 1.54 - 1.26 0.74 1.09 1.23 0.42 0.87 1.30 1.75 1.68 1.53 -// -H MANP780101 -D Average surrounding hydrophobicity (Manavalan-Ponnuswamy, 1978) -R PMID:703834 -A Manavalan, P. and Ponnuswamy, P.K. -T Hydrophobic character of amino acid residues in globular proteins -J Nature 275, 673-674 (1978) -C PONP930101 0.967 PONP800101 0.963 PONP800102 0.945 - NISK800101 0.940 PONP800108 0.935 NISK860101 0.930 - BASU050101 0.925 BASU050103 0.923 CIDH920104 0.918 - CORJ870101 0.918 PONP800103 0.913 MIYS850101 0.909 - CORJ870107 0.908 CORJ870104 0.908 CORJ870103 0.906 - CIDH920103 0.905 ROSG850102 0.903 RADA880108 0.900 - BIOV880101 0.899 JURD980101 0.887 KYTJ820101 0.881 - BASU050102 0.879 CIDH920105 0.879 NADH010103 0.878 - NADH010104 0.873 PONP800107 0.871 LIFS790102 0.870 - CORJ870106 0.867 ZHOH040103 0.864 NADH010102 0.863 - PTIO830102 0.861 LIFS790101 0.859 CHOC760103 0.859 - PLIV810101 0.856 WERD780101 0.853 CORJ870105 0.853 - CASG920101 0.848 BIOV880102 0.847 NADH010101 0.847 - FAUJ830101 0.843 JANJ790101 0.842 NADH010105 0.842 - JANJ780102 0.842 MEIH800103 0.839 ROBB790101 0.834 - KANM800102 0.833 KANM800104 0.827 EISD860103 0.826 - ROBB760106 0.824 SWER830101 0.821 CORJ870102 0.818 - OLSK800101 0.817 DESM900102 0.816 GUOD860101 0.815 - PONP800106 0.813 QIAN880120 0.806 PALJ810104 0.805 - CHOP780202 0.805 ROBB760105 0.805 ROSM880105 0.803 - BLAS910101 0.802 QIAN880121 0.802 OOBM770101 -0.806 - WOLS870101 -0.809 MUNV940103 -0.815 VINM940102 -0.821 - PUNT030101 -0.824 GUYH850103 -0.833 VINM940101 -0.836 - GUYH850101 -0.838 PARJ860101 -0.841 GUYH850102 -0.850 - OOBM770103 -0.859 KARP850102 -0.863 RACS770102 -0.865 - MEIH800102 -0.865 GRAR740102 -0.868 KRIW790101 -0.870 - PUNT030102 -0.873 RACS770101 -0.878 MEIH800101 -0.897 - FASG890101 -0.904 MIYS990105 -0.906 MIYS990104 -0.909 - CORJ870108 -0.911 MIYS990101 -0.913 MIYS990102 -0.915 - MIYS990103 -0.918 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 12.97 11.72 11.42 10.85 14.63 11.76 11.89 12.43 12.16 15.67 - 14.90 11.36 14.39 14.00 11.37 11.23 11.69 13.93 13.42 15.71 -// -H MAXF760101 -D Normalized frequency of alpha-helix (Maxfield-Scheraga, 1976) -R PMID:990270 -A Maxfield, F.R. and Scheraga, H.A. -T Status of empirical methods for the prediction of protein backbone topography -J Biochemistry 15, 5138-5153 (1976) Recalculated by Kidera using a different - set of proteins Reported values normalized by the total number -C ISOY800101 0.982 PALJ810102 0.959 CHOP780201 0.956 - ROBB760101 0.956 KANM800101 0.950 TANS770101 0.930 - PRAM900102 0.924 LEVM780101 0.924 LEVM780104 0.904 - KANM800103 0.901 GEIM800104 0.897 GEIM800101 0.895 - PALJ810101 0.889 QIAN880107 0.885 QIAN880106 0.881 - NAGK730101 0.877 PALJ810109 0.876 AURR980109 0.865 - AURR980110 0.860 RACS820108 0.860 AURR980114 0.853 - BURA740101 0.852 AURR980115 0.852 AURR980108 0.841 - AURR980112 0.838 CRAJ730101 0.826 QIAN880105 0.811 - AURR980111 0.811 FINA770101 0.810 NAGK730103 -0.801 - MUNV940102 -0.829 MUNV940101 -0.833 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.43 1.18 0.64 0.92 0.94 1.22 1.67 0.46 0.98 1.04 - 1.36 1.27 1.53 1.19 0.49 0.70 0.78 1.01 0.69 0.98 -// -H MAXF760102 -D Normalized frequency of extended structure (Maxfield-Scheraga, 1976) -R PMID:990270 -A Maxfield, F.R. and Scheraga, H.A. -T Status of empirical methods for the prediction of protein backbone topography -J Biochemistry 15, 5138-5153 (1976) Recalculated by Kidera using a different - set of proteins Reported values normalized by the total number -C ISOY800102 0.931 TANS770103 0.891 GEIM800105 0.819 - RACS820111 0.815 WOEC730101 -0.842 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.86 0.94 0.74 0.72 1.17 0.89 0.62 0.97 1.06 1.24 - 0.98 0.79 1.08 1.16 1.22 1.04 1.18 1.07 1.25 1.33 -// -H MAXF760103 -D Normalized frequency of zeta R (Maxfield-Scheraga, 1976) -R PMID:990270 -A Maxfield, F.R. and Scheraga, H.A. -T Status of empirical methods for the prediction of protein backbone topography -J Biochemistry 15, 5138-5153 (1976) Recalculated by Kidera using a different - set of proteins Reported values normalized by the total number -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.64 0.62 3.14 1.92 0.32 0.80 1.01 0.63 2.05 0.92 - 0.37 0.89 1.07 0.86 0.50 1.01 0.92 1.00 1.31 0.87 -// -H MAXF760104 -D Normalized frequency of left-handed alpha-helix (Maxfield-Scheraga, 1976) -R PMID:990270 -A Maxfield, F.R. and Scheraga, H.A. -T Status of empirical methods for the prediction of protein backbone topography -J Biochemistry 15, 5138-5153 (1976) Recalculated by Kidera using a different - set of proteins Reported values normalized by the total number -C ISOY800108 0.945 RICJ880115 0.919 TANS770107 0.913 - MAXF760105 0.850 AURR980117 0.849 RACS820109 0.844 - TANS770109 0.821 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.17 0.76 2.62 1.08 0.95 0.91 0.28 5.02 0.57 0.26 - 0.21 1.17 0.00 0.28 0.12 0.57 0.23 0.00 0.97 0.24 -// -H MAXF760105 -D Normalized frequency of zeta L (Maxfield-Scheraga, 1976) -R PMID:990270 -A Maxfield, F.R. and Scheraga, H.A. -T Status of empirical methods for the prediction of protein backbone topography -J Biochemistry 15, 5138-5153 (1976) Recalculated by Kidera using a different - set of proteins Reported values normalized by the total number -C TANS770109 0.878 MAXF760104 0.850 ISOY800108 0.810 - RICJ880115 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.13 0.48 1.11 1.18 0.38 0.41 1.02 3.84 0.30 0.40 - 0.65 1.13 0.00 0.45 0.00 0.81 0.71 0.93 0.38 0.48 -// -H MAXF760106 -D Normalized frequency of alpha region (Maxfield-Scheraga, 1976) -R PMID:990270 -A Maxfield, F.R. and Scheraga, H.A. -T Status of empirical methods for the prediction of protein backbone topography -J Biochemistry 15, 5138-5153 (1976) Recalculated by Kidera using a different - set of proteins Reported values normalized by the total number -C ISOY800106 0.849 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 1.18 0.87 1.39 1.09 1.13 1.04 0.46 0.71 0.68 - 1.01 1.05 0.36 0.65 1.95 1.56 1.23 1.10 0.87 0.58 -// -H MCMT640101 -D Refractivity (McMeekin et al., 1964), Cited by Jones (1975) -R -A McMeekin, T.L., Groves, M.L. and Hipp, N.J. -T -J In "Amino Acids and Serum Proteins" (Stekol, J.A., ed.), American Chemical - Society, Washington, D.C., p. 54 (1964) -C CHAM820101 0.871 ROSG850101 0.857 FAUJ880103 0.847 - FASG760101 0.845 CHOC750101 0.822 GRAR740103 0.817 - BIGC670101 0.814 GOLD730102 0.814 KRIW790103 0.810 - CHOC760101 0.809 FUKS010111 -0.806 RADA880103 -0.833 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.34 26.66 13.28 12.00 35.77 17.56 17.26 0.00 21.81 19.06 - 18.78 21.29 21.64 29.40 10.93 6.35 11.01 42.53 31.53 13.92 -// -H MEEJ800101 -D Retention coefficient in HPLC, pH7.4 (Meek, 1980) -R PMID:6929513 -A Meek, J.L. -T Prediction of peptide retention times in high-pressure liquid chromatography - on the basis of amino acid composition -J Proc. Natl. Acad. Sci. USA 77, 1632-1636 (1980) -C MEEJ800102 0.886 ZIMJ680105 0.842 BROC820102 0.840 - WIMW960101 0.838 GOLD730101 0.808 PARJ860101 -0.806 - WOLS870101 -0.823 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.5 0.8 0.8 -8.2 -6.8 -4.8 -16.9 0.0 -3.5 13.9 - 8.8 0.1 4.8 13.2 6.1 1.2 2.7 14.9 6.1 2.7 -// -H MEEJ800102 -D Retention coefficient in HPLC, pH2.1 (Meek, 1980) -R PMID:6929513 -A Meek, J.L. -T Prediction of peptide retention times in high-pressure liquid chromatography - on the basis of amino acid composition -J Proc. Natl. Acad. Sci. USA 77, 1632-1636 (1980) -C ZIMJ680105 0.921 RADA880102 0.900 NOZY710101 0.895 - TAKK010101 0.891 EISD860101 0.890 MEEJ800101 0.886 - MEEJ810102 0.881 BROC820101 0.877 MEEJ810101 0.871 - PLIV810101 0.867 GOLD730101 0.866 GUOD860101 0.866 - SIMZ760101 0.861 FAUJ830101 0.858 BROC820102 0.857 - CIDH920102 0.856 ARGP820101 0.855 JOND750101 0.855 - BLAS910101 0.849 ROSM880105 0.841 CIDH920105 0.840 - ZHOH040101 0.838 WIMW960101 0.821 ZHOH040102 0.808 - ROBB790101 0.807 WEBA780101 -0.808 GUYH850103 -0.809 - KIDA850101 -0.823 HOPT810101 -0.826 LEVM760101 -0.855 - BULH740101 -0.875 PARJ860101 -0.902 WOLS870101 -0.925 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.1 -4.5 -1.6 -2.8 -2.2 -2.5 -7.5 -0.5 0.8 11.8 - 10.0 -3.2 7.1 13.9 8.0 -3.7 1.5 18.1 8.2 3.3 -// -H MEEJ810101 -D Retention coefficient in NaClO4 (Meek-Rossetti, 1981) -R -A Meek, J.L. and Rossetti, Z.L. -T Factors affecting retention and resolution of peptides in high-performance - liquid chromatography -J J. Chromatogr. 211, 15-28 (1981) -C MEEJ810102 0.987 ZHOH040101 0.935 GUOD860101 0.931 - ZHOH040103 0.921 PLIV810101 0.914 ROSM880104 0.911 - FAUJ830101 0.902 BASU050102 0.898 CIDH920105 0.892 - ARGP820101 0.891 JOND750101 0.891 CIDH920102 0.887 - NOZY710101 0.882 CIDH920104 0.878 MEEJ800102 0.871 - MIYS850101 0.863 ROBB790101 0.861 BIOV880101 0.855 - NISK860101 0.848 CIDH920103 0.837 SIMZ760101 0.836 - TAKK010101 0.836 BLAS910101 0.831 LEVM760106 0.827 - WERD780101 0.825 GOLD730101 0.824 COWR900101 0.823 - BIOV880102 0.822 VENT840101 0.813 BASU050101 0.810 - CORJ870102 0.807 SWER830101 0.806 EISD860101 0.805 - ZHOH040102 0.804 RADA880108 0.804 ROSM880105 0.802 - MEIH800101 -0.809 GUYH850102 -0.813 KARP850101 -0.818 - MIYS990104 -0.831 WEBA780101 -0.831 GRAR740102 -0.839 - VINM940102 -0.839 MIYS990105 -0.839 KIDA850101 -0.850 - OOBM770103 -0.861 GUYH850103 -0.864 MIYS990102 -0.866 - MIYS990101 -0.867 BULH740101 -0.876 WOLS870101 -0.906 - PARJ860101 -0.920 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.1 -0.4 -4.2 -1.6 7.1 -2.9 0.7 -0.2 -0.7 8.5 - 11.0 -1.9 5.4 13.4 4.4 -3.2 -1.7 17.1 7.4 5.9 -// -H MEEJ810102 -D Retention coefficient in NaH2PO4 (Meek-Rossetti, 1981) -R -A Meek, J.L. and Rossetti, Z.L. -T Factors affecting retention and resolution of peptides in high-performance - liquid chromatography -J J. Chromatogr. 211, 15-28 (1981) -C MEEJ810101 0.987 GUOD860101 0.949 ZHOH040101 0.922 - ZHOH040103 0.902 NOZY710101 0.899 PLIV810101 0.898 - FAUJ830101 0.890 ROSM880104 0.885 MEEJ800102 0.881 - BASU050102 0.871 ARGP820101 0.853 JOND750101 0.852 - WILM950101 0.849 COWR900101 0.849 MIYS850101 0.844 - CIDH920105 0.844 CIDH920102 0.843 CIDH920104 0.837 - VENT840101 0.831 BLAS910101 0.830 BIOV880101 0.824 - ROBB790101 0.821 BROC820101 0.820 TAKK010101 0.819 - RADA880102 0.813 NISK860101 0.810 WILM950102 0.809 - EISD860101 0.808 SIMZ760101 0.808 GOLD730101 0.806 - ROSM880105 0.804 MIYS990104 -0.807 GRAR740102 -0.811 - MIYS990105 -0.817 GUYH850103 -0.823 OOBM770103 -0.831 - KIDA850101 -0.851 MIYS990102 -0.853 WEBA780101 -0.854 - MIYS990101 -0.854 BULH740101 -0.880 PARJ860101 -0.897 - WOLS870101 -0.905 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.0 -2.0 -3.0 -0.5 4.6 -2.0 1.1 0.2 -2.2 7.0 - 9.6 -3.0 4.0 12.6 3.1 -2.9 -0.6 15.1 6.7 4.6 -// -H MEIH800101 -D Average reduced distance for C-alpha (Meirovitch et al., 1980) -R -A Meirovitch, H., Rackovsky, S. and Scheraga, H.A. -T Empirical studies of hydrophobicity. 1. Effect of protein size on the - hydrophobic behavior of amino acids -J Macromolecules 13, 1398-1405 (1980) Database taken from group C -C RACS770101 0.973 RACS770102 0.963 MEIH800102 0.952 - MIYS990102 0.941 MIYS990101 0.940 MIYS990104 0.925 - MIYS990103 0.923 FASG890101 0.919 MIYS990105 0.912 - PARJ860101 0.905 VINM940101 0.900 GUYH850102 0.899 - OOBM770103 0.897 GUYH850101 0.893 CORJ870108 0.889 - KARP850102 0.884 VINM940103 0.875 GUYH850103 0.873 - KRIW790101 0.869 PUNT030101 0.860 WOLS870101 0.852 - PUNT030102 0.837 RACS770103 0.837 KRIW790102 0.835 - VINM940102 0.833 KARP850101 0.832 FUKS010103 0.832 - GRAR740102 0.824 PARS000101 0.813 RICJ880111 -0.802 - ROSM880105 -0.802 DESM900102 -0.804 NADH010105 -0.806 - LIFS790101 -0.809 MEEJ810101 -0.809 EISD860103 -0.810 - RADA880102 -0.816 PONP800108 -0.825 ZHOH040101 -0.827 - PTIO830102 -0.828 CORJ870102 -0.829 SWER830101 -0.830 - BEGF750102 -0.832 GUOD860101 -0.833 NADH010102 -0.847 - NISK800101 -0.852 CORJ870101 -0.855 PONP800103 -0.856 - CORJ870104 -0.862 CIDH920101 -0.863 FAUJ830101 -0.863 - NADH010104 -0.867 CIDH920102 -0.867 NADH010103 -0.868 - ROBB790101 -0.868 PONP800102 -0.870 CORJ870103 -0.871 - CASG920101 -0.875 MEIH800103 -0.875 CORJ870106 -0.882 - CORJ870105 -0.883 BASU050101 -0.887 PONP800101 -0.888 - BASU050102 -0.892 PLIV810101 -0.896 MANP780101 -0.897 - CORJ870107 -0.897 ZHOH040103 -0.898 CIDH920103 -0.905 - BASU050103 -0.906 PONP800107 -0.909 PONP930101 -0.916 - CIDH920104 -0.917 CIDH920105 -0.923 ROSG850102 -0.930 - BIOV880102 -0.937 RADA880108 -0.940 WERD780101 -0.943 - BIOV880101 -0.949 MIYS850101 -0.957 NISK860101 -0.960 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.93 0.98 0.98 1.01 0.88 1.02 1.02 1.01 0.89 0.79 - 0.85 1.05 0.84 0.78 1.00 1.02 0.99 0.83 0.93 0.81 -// -H MEIH800102 -D Average reduced distance for side chain (Meirovitch et al., 1980) -R -A Meirovitch, H., Rackovsky, S. and Scheraga, H.A. -T Empirical studies of hydrophobicity. 1. Effect of protein size on the - hydrophobic behavior of amino acids -J Macromolecules 13, 1398-1405 (1980) Database taken from group C (Gly 0.067) -C RACS770102 0.987 MEIH800101 0.952 FASG890101 0.951 - GUYH850101 0.934 MIYS990103 0.917 MIYS990102 0.916 - MIYS990105 0.914 MIYS990101 0.913 RACS770101 0.905 - MIYS990104 0.903 RACS770103 0.903 PUNT030101 0.901 - KRIW790102 0.898 GUYH850104 0.892 OOBM770101 0.881 - KRIW790101 0.876 JANJ780103 0.873 VINM940101 0.872 - CORJ870108 0.860 ROSM880102 0.859 OOBM770103 0.859 - GUYH850102 0.856 PUNT030102 0.849 JANJ780101 0.843 - VINM940103 0.841 CHOC760102 0.839 KARP850102 0.837 - GRAR740102 0.836 KIDA850101 0.834 PARJ860101 0.831 - KUHL950101 0.822 FUKS010104 0.822 WOLS870101 0.813 - GUYH850105 0.811 VINM940104 0.808 NAKH900110 -0.802 - BASU050102 -0.812 NADH010101 -0.818 JANJ790101 -0.821 - ROSM880105 -0.821 DESM900101 -0.822 BASU050101 -0.825 - CIDH920103 -0.825 WARP780101 -0.826 CIDH920105 -0.826 - EISD840101 -0.829 CORJ870106 -0.835 PONP800108 -0.836 - CORJ870105 -0.839 CORJ870104 -0.840 NISK800101 -0.844 - ZHOH040103 -0.848 PLIV810101 -0.849 CORJ870103 -0.855 - OLSK800101 -0.858 PONP800107 -0.858 MANP780101 -0.865 - CIDH920104 -0.868 CORJ870107 -0.871 KYTJ820101 -0.871 - FAUJ830101 -0.875 PONP800101 -0.877 CORJ870101 -0.878 - CASG920101 -0.879 JURD980101 -0.879 BASU050103 -0.880 - PONP930101 -0.881 EISD860103 -0.882 PONP800102 -0.883 - PONP800103 -0.891 CHOC760103 -0.894 JANJ790102 -0.894 - DESM900102 -0.898 NADH010104 -0.900 WERD780101 -0.903 - JANJ780102 -0.907 NADH010103 -0.916 NISK860101 -0.920 - NADH010102 -0.928 MIYS850101 -0.934 MEIH800103 -0.941 - BIOV880102 -0.951 RADA880108 -0.953 BIOV880101 -0.956 - ROSG850102 -0.959 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.94 1.09 1.04 1.08 0.84 1.11 1.12 1.01 0.92 0.76 - 0.82 1.23 0.83 0.73 1.04 1.04 1.02 0.87 1.03 0.81 -// -H MEIH800103 -D Average side chain orientation angle (Meirovitch et al., 1980) -R -A Meirovitch, H., Rackovsky, S. and Scheraga, H.A. -T Empirical studies of hydrophobicity. 1. Effect of protein size on the - hydrophobic behavior of amino acids -J Macromolecules 13, 1398-1405 (1980) Database taken from group C (Gly 7.4) -C ROSG850102 0.948 BIOV880101 0.934 DESM900102 0.924 - RADA880108 0.916 BIOV880102 0.916 NISK860101 0.909 - MIYS850101 0.908 NADH010102 0.907 CORJ870101 0.902 - NADH010103 0.901 JANJ780102 0.897 WERD780101 0.895 - PONP800103 0.895 NADH010104 0.890 PONP800102 0.885 - CORJ870107 0.883 CASG920101 0.881 CORJ870103 0.880 - NISK800101 0.871 EISD860103 0.870 PONP800101 0.869 - CHOC760103 0.865 PONP930101 0.863 PONP800108 0.862 - JURD980101 0.861 KYTJ820101 0.856 CORJ870104 0.856 - CIDH920104 0.853 DESM900101 0.853 JANJ790102 0.853 - FAUJ830101 0.849 MANP780101 0.839 JANJ790101 0.838 - WARP780101 0.835 BASU050103 0.832 CORJ870105 0.827 - OLSK800101 0.826 NADH010101 0.824 CORJ870106 0.822 - ZHOH040103 0.820 NADH010105 0.816 PLIV810101 0.811 - CIDH920105 0.804 CIDH920103 0.802 ROBB790101 0.801 - BASU050102 0.801 WOEC730101 -0.802 CHOC760102 -0.802 - PARJ860101 -0.808 KUHL950101 -0.809 JANJ780101 -0.811 - KIDA850101 -0.813 PUNT030102 -0.815 ROSM880102 -0.829 - VINM940103 -0.830 RACS770101 -0.845 KRIW790101 -0.850 - GUYH850102 -0.854 GUYH850104 -0.854 VINM940101 -0.861 - GRAR740102 -0.866 OOBM770103 -0.866 JANJ780103 -0.866 - CORJ870108 -0.870 MEIH800101 -0.875 GUYH850101 -0.880 - PUNT030101 -0.882 KRIW790102 -0.885 MIYS990101 -0.891 - MIYS990102 -0.893 MIYS990104 -0.894 OOBM770101 -0.896 - MIYS990103 -0.906 RACS770102 -0.918 MIYS990105 -0.919 - RACS770103 -0.919 FASG890101 -0.924 MEIH800102 -0.941 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 87. 81. 70. 71. 104. 66. 72. 90. 90. 105. - 104. 65. 100. 108. 78. 83. 83. 94. 83. 94. -// -H MIYS850101 -D Effective partition energy (Miyazawa-Jernigan, 1985) -R -A Miyazawa, S. and Jernigan, R.L. -T Estimation of effective interresidue contact energies from protein crystal - structures: Quasi-chemical approximation -J Macromolecules 18, 534-552 (1985) -C BIOV880101 0.960 NISK860101 0.960 RADA880108 0.950 - PLIV810101 0.944 ROSG850102 0.937 WERD780101 0.934 - BIOV880102 0.930 CIDH920105 0.916 CIDH920104 0.915 - FAUJ830101 0.914 ZHOH040103 0.914 CORJ870107 0.911 - PONP930101 0.910 MANP780101 0.909 MEIH800103 0.908 - GUOD860101 0.908 CIDH920103 0.906 BASU050102 0.904 - BASU050103 0.899 PONP800103 0.898 NADH010104 0.897 - NADH010103 0.896 ROBB790101 0.895 CORJ870104 0.892 - PONP800101 0.892 CORJ870103 0.892 PONP800102 0.891 - SWER830101 0.889 BASU050101 0.888 CORJ870102 0.887 - CORJ870106 0.884 PONP800107 0.884 CORJ870105 0.879 - NADH010102 0.878 CIDH920102 0.873 NISK800101 0.864 - MEEJ810101 0.863 CASG920101 0.863 CORJ870101 0.861 - EISD860103 0.858 ZHOH040101 0.855 PONP800108 0.847 - MEEJ810102 0.844 NADH010105 0.844 ROSM880105 0.844 - CIDH920101 0.843 EISD860101 0.842 JURD980101 0.837 - DESM900102 0.831 BLAS910101 0.829 RADA880102 0.824 - COWR900101 0.824 ROSM880104 0.824 ARGP820103 0.822 - KYTJ820101 0.821 NADH010101 0.815 PONP800106 0.812 - CHOC760103 0.810 NOZY710101 0.810 PTIO830102 0.807 - BEGF750102 0.806 JANJ780102 0.806 NAKH900110 0.804 - HOPT810101 -0.800 KARP850101 -0.811 RACS770103 -0.818 - PARS000101 -0.821 ROSM880102 -0.825 FUKS010103 -0.828 - KIDA850101 -0.831 VINM940102 -0.832 BULH740101 -0.838 - VINM940103 -0.849 PUNT030102 -0.868 KRIW790102 -0.869 - KARP850102 -0.878 VINM940101 -0.883 GUYH850102 -0.884 - PUNT030101 -0.892 GRAR740102 -0.895 GUYH850103 -0.897 - WOLS870101 -0.899 GUYH850101 -0.909 OOBM770103 -0.910 - KRIW790101 -0.910 CORJ870108 -0.910 PARJ860101 -0.929 - MEIH800102 -0.934 FASG890101 -0.938 RACS770101 -0.940 - RACS770102 -0.943 MIYS990105 -0.951 MIYS990103 -0.952 - MIYS990104 -0.953 MEIH800101 -0.957 MIYS990101 -0.977 - MIYS990102 -0.978 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.36 1.92 1.70 1.67 3.36 1.75 1.74 2.06 2.41 4.17 - 3.93 1.23 4.22 4.37 1.89 1.81 2.04 3.82 2.91 3.49 -// -H NAGK730101 -D Normalized frequency of alpha-helix (Nagano, 1973) -R PMID:4728695 -A Nagano, K. -T Local analysis of the mechanism of protein folding. I. Prediction of helices, - loops, and beta-structures from primary structure -J J. Mol. Biol. 75, 401-420 (1973) -C PALJ810101 0.953 CRAJ730101 0.925 TANS770101 0.925 - LEVM780104 0.918 GEIM800101 0.912 ROBB760101 0.910 - PRAM900102 0.894 LEVM780101 0.894 CHOP780201 0.886 - KANM800101 0.883 BURA740101 0.883 MAXF760101 0.877 - PALJ810102 0.876 ISOY800101 0.862 GEIM800104 0.828 - RACS820108 0.820 NAGK730103 -0.870 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.29 0.83 0.77 1.00 0.94 1.10 1.54 0.72 1.29 0.94 - 1.23 1.23 1.23 1.23 0.70 0.78 0.87 1.06 0.63 0.97 -// -H NAGK730102 -D Normalized frequency of bata-structure (Nagano, 1973) -R PMID:4728695 -A Nagano, K. -T Local analysis of the mechanism of protein folding. I. Prediction of helices, - loops, and beta-structures from primary structure -J J. Mol. Biol. 75, 401-420 (1973) -C ROBB760106 0.887 KANM800102 0.878 PALJ810104 0.867 - CHOP780208 0.860 CHOP780202 0.858 BASU050103 0.837 - BEGF750102 0.833 GEIM800107 0.830 ROBB760105 0.815 - CRAJ730102 0.815 PTIO830102 0.811 PUNT030102 -0.836 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.96 0.67 0.72 0.90 1.13 1.18 0.33 0.90 0.87 1.54 - 1.26 0.81 1.29 1.37 0.75 0.77 1.23 1.13 1.07 1.41 -// -H NAGK730103 -D Normalized frequency of coil (Nagano, 1973) -R PMID:4728695 -A Nagano, K. -T Local analysis of the mechanism of protein folding. I. Prediction of helices, - loops, and beta-structures from primary structure -J J. Mol. Biol. 75, 401-420 (1973) -C CHAM830101 0.857 CHOP780101 0.827 CHOP780216 0.819 - CHOP780210 0.814 ROBB760113 0.811 PALJ810105 0.804 - TANS770101 -0.800 MAXF760101 -0.801 PALJ810101 -0.808 - LEVM780101 -0.809 PRAM900102 -0.809 PALJ810102 -0.818 - ISOY800101 -0.821 BURA740101 -0.830 CHOP780201 -0.837 - KANM800103 -0.847 CRAJ730101 -0.850 ROBB760101 -0.861 - NAGK730101 -0.870 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.72 1.33 1.38 1.04 1.01 0.81 0.75 1.35 0.76 0.80 - 0.63 0.84 0.62 0.58 1.43 1.34 1.03 0.87 1.35 0.83 -// -H NAKH900101 -D AA composition of total proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C JOND920101 0.993 CEDJ970102 0.988 CEDJ970104 0.978 - CEDJ970101 0.954 FUKS010112 0.948 FUKS010110 0.946 - JUKT750101 0.941 DAYM780101 0.940 JUNJ780101 0.918 - CEDJ970103 0.908 NAKH920101 0.907 NAKH920106 0.900 - KUMS000102 0.894 FUKS010109 0.868 NAKH900109 0.866 - NAKH920107 0.863 CEDJ970105 0.860 NAKH900102 0.858 - NAKH920104 0.857 KUMS000101 0.856 NAKH920103 0.854 - FUKS010111 0.812 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.99 5.86 4.33 5.14 1.81 3.98 6.10 6.91 2.17 5.48 - 9.16 6.01 2.50 3.83 4.95 6.84 5.77 1.34 3.15 6.65 -// -H NAKH900102 -D SD of AA composition of total proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C CEDJ970105 0.903 DAYM780101 0.883 NAKH920106 0.872 - CEDJ970104 0.860 NAKH900101 0.858 NAKH920101 0.854 - JUNJ780101 0.853 JOND920101 0.846 CEDJ970102 0.841 - CEDJ970101 0.832 RACS820105 -0.839 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 3.73 3.34 2.33 2.23 2.30 2.36 3. 3.36 1.55 2.52 - 3.40 3.36 1.37 1.94 3.18 2.83 2.63 1.15 1.76 2.53 -// -H NAKH900103 -D AA composition of mt-proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH900105 0.992 NAKH900112 0.966 NAKH900107 0.927 - FUKS010108 0.864 NAKH900111 0.832 NAKH920105 0.829 - NAKH920108 0.826 CEDJ970103 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.74 1.92 5.25 2.11 1.03 2.30 2.63 5.66 2.30 9.12 - 15.36 3.20 5.30 6.51 4.79 7.55 7.51 2.51 4.08 5.12 -// -H NAKH900104 -D Normalized composition of mt-proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH900106 0.986 NAKH900108 0.849 EISD860101 0.812 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.60 -1.18 0.39 -1.36 -0.34 -0.71 -1.16 -0.37 0.08 1.44 - 1.82 -0.84 2.04 1.38 -0.05 0.25 0.66 1.02 0.53 -0.60 -// -H NAKH900105 -D AA composition of mt-proteins from animal (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH900103 0.992 NAKH900112 0.974 NAKH900107 0.870 - FUKS010108 0.846 NAKH900111 0.815 NAKH920105 0.806 - NAKH920108 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.88 1.54 4.38 1.70 1.11 2.30 2.60 5.29 2.33 8.78 - 16.52 2.58 6.00 6.58 5.29 7.68 8.38 2.89 3.51 4.66 -// -H NAKH900106 -D Normalized composition from animal (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH900104 0.986 EISD860101 0.812 ARGP820103 0.810 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.57 -1.29 0.02 -1.54 -0.30 -0.71 -1.17 -0.48 0.10 1.31 - 2.16 -1.02 2.55 1.42 0.11 0.30 0.99 1.35 0.20 -0.79 -// -H NAKH900107 -D AA composition of mt-proteins from fungi and plant (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH900103 0.927 NAKH900105 0.870 NAKH900112 0.850 - FUKS010108 0.830 CEDJ970103 0.820 NAKH920108 0.816 - NAKH920105 0.814 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.39 2.81 7.31 3.07 0.86 2.31 2.70 6.52 2.23 9.94 - 12.64 4.67 3.68 6.34 3.62 7.24 5.44 1.64 5.42 6.18 -// -H NAKH900108 -D Normalized composition from fungi and plant (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH900104 0.849 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.70 -0.91 1.28 -0.93 -0.41 -0.71 -1.13 -0.12 0.04 1.77 - 1.02 -0.40 0.86 1.29 -0.42 0.14 -0.13 0.26 1.29 -0.19 -// -H NAKH900109 -D AA composition of membrane proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C CEDJ970103 0.970 FUKS010106 0.927 FUKS010107 0.903 - FUKS010105 0.892 NAKH900111 0.890 JOND920101 0.878 - FUKS010108 0.872 NAKH900101 0.866 CEDJ970102 0.865 - CEDJ970101 0.861 FUKS010110 0.853 KUMS000102 0.837 - NAKH920105 0.823 CEDJ970104 0.821 JUKT750101 0.815 - NAKH920108 0.811 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.25 3.96 3.71 3.89 1.07 3.17 4.80 8.51 1.88 6.47 - 10.94 3.50 3.14 6.36 4.36 6.26 5.66 2.22 3.28 7.55 -// -H NAKH900110 -D Normalized composition of membrane proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C ROSM880105 0.859 EISD840101 0.838 BROC820101 0.830 - BIOV880102 0.829 EISD860101 0.820 GUOD860101 0.805 - MIYS850101 0.804 BLAS910101 0.801 MEIH800102 -0.802 - KIDA850101 -0.808 PARJ860101 -0.808 ROSM880101 -0.812 - HOPT810101 -0.812 WOLS870101 -0.832 VHEG790101 -0.848 - PUNT030101 -0.886 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.34 -0.57 -0.27 -0.56 -0.32 -0.34 -0.43 0.48 -0.19 0.39 - 0.52 -0.75 0.47 1.30 -0.19 -0.20 -0.04 0.77 0.07 0.36 -// -H NAKH900111 -D Transmembrane regions of non-mt-proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH920108 0.975 NAKH920105 0.958 FUKS010108 0.954 - FUKS010106 0.933 FUKS010105 0.911 NAKH900109 0.890 - NAKH900112 0.878 FUKS010107 0.867 CEDJ970103 0.865 - NAKH900103 0.832 KYTJ820101 0.817 NAKH900105 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 10.17 1.21 1.36 1.18 1.48 1.57 1.15 8.87 1.07 10.91 - 16.22 1.04 4.12 9.60 2.24 5.38 5.61 2.67 2.68 11.44 -// -H NAKH900112 -D Transmembrane regions of mt-proteins (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C NAKH900105 0.974 NAKH900103 0.966 FUKS010108 0.896 - NAKH920105 0.881 NAKH920108 0.879 NAKH900111 0.878 - NAKH900107 0.850 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.61 0.41 1.84 0.59 0.83 1.20 1.63 4.88 1.14 12.91 - 21.66 1.15 7.17 7.76 3.51 6.84 8.89 2.11 2.57 6.30 -// -H NAKH900113 -D Ratio of average and computed composition (Nakashima et al., 1990) -R PMID:2235995 -A Nakashima, H., Nishikawa, K. and Ooi, T. -T Distinct character in hydrophobicity of amino acid composition of - mitochondrial proteins -J Proteins 8, 173-178 (1990) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.61 0.40 0.73 0.75 0.37 0.61 1.50 3.12 0.46 1.61 - 1.37 0.62 1.59 1.24 0.67 0.68 0.92 1.63 0.67 1.30 -// -H NAKH920101 -D AA composition of CYT of single-spanning proteins (Nakashima-Nishikawa, 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C CEDJ970105 0.942 NAKH920106 0.929 NAKH920102 0.929 - CEDJ970104 0.920 NAKH900101 0.907 JOND920101 0.900 - CEDJ970102 0.898 DAYM780101 0.882 FUKS010112 0.856 - NAKH900102 0.854 CEDJ970101 0.850 JUKT750101 0.849 - FUKS010110 0.833 JUNJ780101 0.826 NAKH920104 0.822 - NAKH920103 0.811 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.63 6.75 4.18 6.24 1.03 4.76 7.82 6.80 2.70 3.48 - 8.44 6.25 2.14 2.73 6.28 8.53 4.43 0.80 2.54 5.44 -// -H NAKH920102 -D AA composition of CYT2 of single-spanning proteins (Nakashima-Nishikawa, - 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C NAKH920101 0.929 CEDJ970105 0.843 CEDJ970104 0.834 - NAKH920106 0.832 DAYM780101 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 10.88 6.01 5.75 6.13 0.69 4.68 9.34 7.72 2.15 1.80 - 8.03 6.11 3.79 2.93 7.21 7.25 3.51 0.47 1.01 4.57 -// -H NAKH920103 -D AA composition of EXT of single-spanning proteins (Nakashima-Nishikawa, 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C CEDJ970102 0.906 NAKH920104 0.904 NAKH920107 0.882 - JOND920101 0.881 CEDJ970104 0.863 NAKH900101 0.854 - DAYM780101 0.851 CEDJ970101 0.843 FUKS010112 0.842 - JUKT750101 0.837 JUNJ780101 0.820 NAKH920101 0.811 - NAKH920106 0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.15 4.38 4.81 5.75 3.24 4.45 7.05 6.38 2.69 4.40 - 8.11 5.25 1.60 3.52 5.65 8.04 7.41 1.68 3.42 7.00 -// -H NAKH920104 -D AA composition of EXT2 of single-spanning proteins (Nakashima-Nishikawa, - 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C CEDJ970102 0.905 NAKH920103 0.904 NAKH920107 0.889 - JOND920101 0.887 FUKS010112 0.882 CEDJ970104 0.865 - CEDJ970101 0.859 NAKH900101 0.857 NAKH920106 0.829 - JUKT750101 0.827 NAKH920101 0.822 DAYM780101 0.819 - JUNJ780101 0.807 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.04 3.73 5.94 5.26 2.20 4.50 6.07 7.09 2.99 4.32 - 9.88 6.31 1.85 3.72 6.22 8.05 5.20 2.10 3.32 6.19 -// -H NAKH920105 -D AA composition of MEM of single-spanning proteins (Nakashima-Nishikawa, 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C FUKS010108 0.968 NAKH920108 0.959 NAKH900111 0.958 - FUKS010106 0.931 FUKS010105 0.929 NAKH900112 0.881 - CEDJ970103 0.836 FUKS010107 0.833 NAKH900103 0.829 - NAKH900109 0.823 NAKH900107 0.814 NAKH900105 0.806 - KYTJ820101 0.803 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.90 0.09 0.94 0.35 2.55 0.87 0.08 8.14 0.20 15.25 - 22.28 0.16 1.85 6.47 2.38 4.17 4.33 2.21 3.42 14.34 -// -H NAKH920106 -D AA composition of CYT of multi-spanning proteins (Nakashima-Nishikawa, 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C CEDJ970105 0.930 NAKH920101 0.929 CEDJ970104 0.923 - FUKS010112 0.921 NAKH900101 0.900 JOND920101 0.889 - CEDJ970102 0.886 NAKH900102 0.872 DAYM780101 0.856 - NAKH920102 0.832 JUKT750101 0.831 NAKH920104 0.829 - JUNJ780101 0.829 CEDJ970101 0.826 FUKS010110 0.824 - FUKS010104 0.818 FUKS010109 0.814 NAKH920103 0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.69 6.65 4.49 4.97 1.70 5.39 7.76 6.32 2.11 4.51 - 8.23 8.36 2.46 3.59 5.20 7.40 5.18 1.06 2.75 5.27 -// -H NAKH920107 -D AA composition of EXT of multi-spanning proteins (Nakashima-Nishikawa, 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C JOND920101 0.893 CEDJ970102 0.891 NAKH920104 0.889 - NAKH920103 0.882 NAKH900101 0.863 JUKT750101 0.862 - DAYM780101 0.861 CEDJ970101 0.860 CEDJ970104 0.857 - JUNJ780101 0.856 FUKS010111 0.841 KUMS000102 0.839 - FUKS010112 0.824 FUKS010110 0.810 KUMS000101 0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.08 4.75 5.75 5.96 2.95 4.24 6.04 8.20 2.10 4.95 - 8.03 4.93 2.61 4.36 4.84 6.41 5.87 2.31 4.55 6.07 -// -H NAKH920108 -D AA composition of MEM of multi-spanning proteins (Nakashima-Nishikawa, 1992) -R PMID:1607012 -A Nakashima, H. and Nishikawa, K. -T The amino acid composition is different between the cytoplasmic and - extracellular sides in membrane proteins -J FEBS Lett. 303, 141-146 (1992) -C NAKH900111 0.975 NAKH920105 0.959 FUKS010108 0.948 - FUKS010106 0.898 FUKS010105 0.890 NAKH900112 0.879 - KYTJ820101 0.868 JURD980101 0.858 NAKH900103 0.826 - CHOC760103 0.824 FUKS010107 0.817 NAKH900107 0.816 - NAKH900109 0.811 CEDJ970103 0.811 NAKH900105 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.36 0.27 2.31 0.94 2.56 1.14 0.94 6.17 0.47 13.73 - 16.64 0.58 3.93 10.99 1.96 5.58 4.68 2.20 3.13 12.43 -// -H NISK800101 -D 8 A contact number (Nishikawa-Ooi, 1980) -R PMID:7440060 -A Nishikawa, K. and Ooi, T. -T Prediction of the surface-interior diagram of globular proteins by an - empirical method -J Int. J. Peptide Protein Res. 16, 19-32 (1980) -C PONP800108 0.976 CORJ870101 0.976 PONP800102 0.965 - PONP800101 0.960 PONP930101 0.956 NISK860101 0.943 - ROSG850102 0.942 PONP800103 0.941 MANP780101 0.940 - CASG920101 0.935 BIOV880101 0.920 NADH010104 0.909 - NADH010103 0.908 RADA880108 0.902 CIDH920104 0.900 - BASU050103 0.896 WERD780101 0.891 ZHOH040103 0.888 - CORJ870103 0.886 CORJ870107 0.884 BASU050102 0.884 - NADH010102 0.881 BAEK050101 0.881 BASU050101 0.876 - JANJ790101 0.875 BIOV880102 0.873 MEIH800103 0.871 - CORJ870104 0.868 MIYS850101 0.864 NADH010105 0.860 - CORJ870106 0.857 CIDH920103 0.855 CIDH920105 0.854 - JANJ780102 0.853 DESM900102 0.852 FAUJ830101 0.849 - DESM900101 0.837 CORJ870105 0.834 ROBB790101 0.830 - LIFS790101 0.827 QIAN880121 0.818 JURD980101 0.816 - NADH010101 0.813 KYTJ820101 0.812 KANM800102 0.809 - QIAN880122 0.808 RACS770101 -0.805 GUYH850101 -0.811 - MUNV940103 -0.813 PARS000102 -0.814 RACS770102 -0.818 - GUYH850103 -0.828 KRIW710101 -0.831 PARS000101 -0.832 - VINM940103 -0.836 MEIH800102 -0.844 OOBM770101 -0.845 - MEIH800101 -0.852 PUNT030102 -0.855 MIYS990101 -0.860 - MIYS990102 -0.863 GRAR740102 -0.879 CORJ870108 -0.880 - KARP850102 -0.885 OOBM770103 -0.894 KRIW790101 -0.896 - VINM940102 -0.900 GUYH850102 -0.914 VINM940101 -0.922 - FASG890101 -0.923 MIYS990105 -0.935 MIYS990103 -0.938 - MIYS990104 -0.938 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.23 -0.26 -0.94 -1.13 1.78 -0.57 -0.75 -0.07 0.11 1.19 - 1.03 -1.05 0.66 0.48 -0.76 -0.67 -0.36 0.90 0.59 1.24 -// -H NISK860101 -D 14 A contact number (Nishikawa-Ooi, 1986) -R PMID:3818558 -A Nishikawa, K. and Ooi, T. -T Radial locations of amino acid residues in a globular protein: Correlation - with the sequence -J J. Biochem. 100, 1043-1047 (1986) Values supplied by the author -C BIOV880101 0.972 WERD780101 0.966 ROSG850102 0.962 - PONP930101 0.961 MIYS850101 0.960 BASU050102 0.951 - RADA880108 0.950 ZHOH040103 0.946 CIDH920104 0.944 - NISK800101 0.943 BIOV880102 0.939 CIDH920105 0.938 - CASG920101 0.938 BASU050103 0.937 CORJ870101 0.935 - MANP780101 0.930 PONP800101 0.930 CORJ870107 0.928 - BASU050101 0.926 PONP800102 0.924 PONP800108 0.921 - NADH010104 0.915 CORJ870103 0.914 ROBB790101 0.912 - PONP800103 0.910 NADH010103 0.910 MEIH800103 0.909 - CIDH920103 0.909 CORJ870106 0.908 FAUJ830101 0.906 - CORJ870104 0.901 CORJ870105 0.901 CIDH920102 0.897 - PLIV810101 0.892 BAEK050101 0.886 CIDH920101 0.882 - NADH010102 0.878 ZHOH040101 0.871 SWER830101 0.865 - CORJ870102 0.864 NADH010105 0.863 LIFS790101 0.859 - MEEJ810101 0.848 PONP800107 0.847 DESM900102 0.843 - GUOD860101 0.840 QIAN880120 0.837 ROSM880105 0.836 - CHOP780202 0.832 QIAN880121 0.829 PTIO830102 0.825 - KANM800102 0.819 JANJ780102 0.813 GEIM800107 0.813 - EISD860103 0.811 NADH010101 0.810 ROBB760106 0.810 - MEEJ810102 0.810 PALJ810104 0.809 JURD980101 0.808 - BLAS910101 0.803 ROSM880104 0.801 HOPT810101 -0.822 - WOEC730101 -0.822 KARP850101 -0.828 FUKS010104 -0.832 - RACS770103 -0.837 MUNV940103 -0.840 WOLS870101 -0.848 - FUKS010103 -0.850 PUNT030101 -0.854 KRIW790102 -0.855 - GUYH850101 -0.877 PARS000101 -0.884 PUNT030102 -0.885 - GRAR740102 -0.900 KARP850102 -0.901 VINM940103 -0.903 - KRIW790101 -0.907 RACS770102 -0.913 GUYH850103 -0.914 - PARJ860101 -0.916 VINM940102 -0.919 CORJ870108 -0.920 - MEIH800102 -0.920 RACS770101 -0.923 FASG890101 -0.949 - OOBM770103 -0.949 GUYH850102 -0.950 MIYS990101 -0.957 - VINM940101 -0.959 MEIH800101 -0.960 MIYS990102 -0.960 - MIYS990105 -0.972 MIYS990103 -0.974 MIYS990104 -0.980 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.22 -0.93 -2.65 -4.12 4.66 -2.76 -3.64 -1.62 1.28 5.58 - 5.01 -4.18 3.51 5.27 -3.03 -2.84 -1.20 5.20 2.15 4.45 -// -H NOZY710101 -D Transfer energy, organic solvent/water (Nozaki-Tanford, 1971) -R PMID:5555568 -A Nozaki, Y. and Tanford, C. -T The solubility of amino acids and two glycine peptides in aqueous ethanol and - dioxane solutions -J J. Biol. Chem. 246, 2211-2217 (1971) Missing values filled with zeros -C ZHOH040101 0.932 RADA880102 0.917 MEEJ810102 0.899 - VENT840101 0.897 ZHOH040102 0.897 MEEJ800102 0.895 - CIDH920102 0.889 TAKK010101 0.884 GUOD860101 0.884 - MEEJ810101 0.882 CIDH920105 0.857 ROSM880104 0.847 - BASU050102 0.847 LEVM760107 0.845 ZHOH040103 0.842 - PLIV810101 0.839 CORJ870102 0.838 ZIMJ680105 0.837 - SWER830101 0.836 ROSG850101 0.834 BROC820101 0.829 - EISD860101 0.822 GARJ730101 0.821 WIMW960101 0.818 - MIYS850101 0.810 SIMZ760101 0.807 FAUJ830101 0.803 - ARGP820101 0.800 MIYS990102 -0.819 MIYS990101 -0.821 - OOBM770103 -0.828 PARS000101 -0.829 WOLS870101 -0.874 - WEBA780101 -0.890 BULH740101 -0.892 PARJ860101 -0.900 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 1.8 - 1.8 0.0 1.3 2.5 0.0 0.0 0.4 3.4 2.3 1.5 -// -H OOBM770101 -D Average non-bonded energy per atom (Oobatake-Ooi, 1977) -R PMID:904331 -A Oobatake, M. and Ooi, T. -T An analysis of non-bonded energy of proteins -J J. Theor. Biol. 67, 567-584 (1977) Last two calcualted by Kidera; multiplied - by the number of heavy atoms -C GUYH850104 0.966 JANJ780103 0.965 JANJ780101 0.953 - CHOC760102 0.925 ENGD860101 0.907 PRAM900101 0.907 - MEIH800102 0.881 KUHL950101 0.876 GUYH850105 0.874 - RACS770103 0.871 FASG890101 0.868 ROSM880102 0.867 - PUNT030101 0.865 ROSM880101 0.854 GUYH850101 0.848 - PUNT030102 0.845 MIYS990105 0.844 KIDA850101 0.843 - GRAR740102 0.841 RACS770102 0.838 MIYS990103 0.827 - KRIW790102 0.822 KRIW790101 0.816 MIYS990104 0.806 - WOEC730101 0.804 MANP780101 -0.806 JACR890101 -0.812 - ROSM880105 -0.824 WOLR790101 -0.831 FAUJ830101 -0.832 - PONP800101 -0.835 CASG920101 -0.838 NISK800101 -0.845 - WOLR810101 -0.847 PONP800108 -0.851 RADA880107 -0.854 - CHOC760104 -0.857 BIOV880101 -0.858 NADH010101 -0.861 - PONP800102 -0.862 RADA880101 -0.863 RADA880108 -0.864 - NADH010104 -0.871 JANJ790101 -0.871 CORJ870101 -0.875 - BIOV880102 -0.877 OLSK800101 -0.878 EISD840101 -0.878 - EISD860103 -0.880 PONP800103 -0.880 DESM900101 -0.894 - MEIH800103 -0.896 KYTJ820101 -0.899 CHOC760103 -0.902 - NADH010103 -0.902 JURD980101 -0.903 ROSG850102 -0.903 - WARP780101 -0.937 NADH010102 -0.944 DESM900102 -0.950 - JANJ790102 -0.963 JANJ780102 -0.968 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -1.895 -1.475 -1.560 -1.518 -2.035 -1.521 -1.535 -1.898 -1.755 -1.951 - -1.966 -1.374 -1.963 -1.864 -1.699 -1.753 -1.767 -1.869 -1.686 -1.981 -// -H OOBM770102 -D Short and medium range non-bonded energy per atom (Oobatake-Ooi, 1977) -R PMID:904331 -A Oobatake, M. and Ooi, T. -T An analysis of non-bonded energy of proteins -J J. Theor. Biol. 67, 567-584 (1977) Last two calcualted by Kidera; multiplied - by the number of heavy atoms -C LEVM760102 0.869 LEVM760105 0.868 CHAM830106 0.858 - CHOC760101 0.824 FASG760101 0.821 FAUJ880103 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -1.404 -0.921 -1.178 -1.162 -1.365 -1.116 -1.163 -1.364 -1.215 -1.189 - -1.315 -1.074 -1.303 -1.135 -1.236 -1.297 -1.252 -1.030 -1.030 -1.254 -// -H OOBM770103 -D Long range non-bonded energy per atom (Oobatake-Ooi, 1977) -R PMID:904331 -A Oobatake, M. and Ooi, T. -T An analysis of non-bonded energy of proteins -J J. Theor. Biol. 67, 567-584 (1977) Last two calcualted by Kidera; multiplied - by the number of heavy atoms -C MIYS990105 0.936 VINM940101 0.936 MIYS990104 0.931 - MIYS990103 0.908 GUYH850103 0.906 GUYH850102 0.904 - MEIH800101 0.897 GRAR740102 0.896 PARJ860101 0.891 - VINM940102 0.891 MIYS990102 0.891 MIYS990101 0.887 - FASG890101 0.869 KRIW790101 0.865 PARS000101 0.864 - MEIH800102 0.859 WOLS870101 0.852 FUKS010104 0.849 - VINM940103 0.845 WOEC730101 0.835 RACS770101 0.835 - HOPT810101 0.833 CORJ870108 0.829 RACS770102 0.828 - PUNT030102 0.828 KRIW790102 0.824 RACS770103 0.823 - KARP850102 0.820 MUNV940103 0.805 LEVM760101 0.805 - PTIO830102 -0.801 LIFS790103 -0.807 BAEK050101 -0.810 - KANM800102 -0.812 WIMW960101 -0.814 CORJ870104 -0.814 - CIDH920101 -0.818 PONP800107 -0.819 CHOP780202 -0.820 - QIAN880120 -0.824 CORJ870106 -0.826 ROSM880105 -0.828 - NOZY710101 -0.828 MEEJ810102 -0.831 CORJ870102 -0.832 - CORJ870105 -0.833 SWER830101 -0.833 NADH010102 -0.838 - GUOD860101 -0.838 CORJ870103 -0.839 PONP800101 -0.848 - BASU050101 -0.850 CORJ870107 -0.851 PLIV810101 -0.852 - PONP800102 -0.854 LIFS790101 -0.855 MANP780101 -0.859 - MEEJ810101 -0.861 NADH010103 -0.861 ZHOH040101 -0.862 - NADH010104 -0.863 CIDH920103 -0.863 PONP800103 -0.865 - MEIH800103 -0.866 BASU050103 -0.866 CIDH920102 -0.877 - RADA880108 -0.878 BASU050102 -0.893 NISK800101 -0.894 - PONP800108 -0.896 FAUJ830101 -0.899 CIDH920105 -0.904 - WERD780101 -0.906 CORJ870101 -0.907 ZHOH040103 -0.907 - ROBB790101 -0.909 MIYS850101 -0.910 CIDH920104 -0.912 - PONP930101 -0.914 CASG920101 -0.914 ROSG850102 -0.916 - BIOV880101 -0.920 BIOV880102 -0.925 NISK860101 -0.949 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.491 -0.554 -0.382 -0.356 -0.670 -0.405 -0.371 -0.534 -0.540 -0.762 - -0.650 -0.300 -0.659 -0.729 -0.463 -0.455 -0.515 -0.839 -0.656 -0.728 -// -H OOBM770104 -D Average non-bonded energy per residue (Oobatake-Ooi, 1977) -R PMID:904331 -A Oobatake, M. and Ooi, T. -T An analysis of non-bonded energy of proteins -J J. Theor. Biol. 67, 567-584 (1977) Last two calcualted by Kidera; multiplied - by the number of heavy atoms -C OOBM770105 0.980 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -9.475 -16.225 -12.480 -12.144 -12.210 -13.689 -13.815 -7.592 -17.550 -15.608 - -15.728 -12.366 -15.704 -20.504 -11.893 -10.518 -12.369 -26.166 -20.232 -13.867 -// -H OOBM770105 -D Short and medium range non-bonded energy per residue (Oobatake-Ooi, 1977) -R PMID:904331 -A Oobatake, M. and Ooi, T. -T An analysis of non-bonded energy of proteins -J J. Theor. Biol. 67, 567-584 (1977) Last two calcualted by Kidera; multiplied - by the number of heavy atoms -C OOBM770104 0.980 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -7.020 -10.131 -9.424 -9.296 -8.190 -10.044 -10.467 -5.456 -12.150 -9.512 - -10.520 -9.666 -10.424 -12.485 -8.652 -7.782 -8.764 -14.420 -12.360 -8.778 -// -H OOBM850101 -D Optimized beta-structure-coil equilibrium constant (Oobatake et al., 1985) -R -A Oobatake, M., Kubota, Y. and Ooi, T. -T Optimization of amino acid parameters for correspondence of sequence to - tertiary structures of proteuins -J Bull. Inst. Chem. Res., Kyoto Univ. 63, 82-94 (1985) -C QIAN880119 0.825 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.01 0.84 0.03 -2.05 1.98 1.02 0.93 0.12 -0.14 3.70 - 2.73 2.55 1.75 2.68 0.41 1.47 2.39 2.49 2.23 3.50 -// -H OOBM850102 -D Optimized propensity to form reverse turn (Oobatake et al., 1985) -R -A Oobatake, M., Kubota, Y. and Ooi, T. -T Optimization of amino acid parameters for correspondence of sequence to - tertiary structures of proteuins -J Bull. Inst. Chem. Res., Kyoto Univ. 63, 82-94 (1985) -C ZASB820101 -0.853 GARJ730101 -0.877 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.34 0.95 2.49 3.32 1.07 1.49 2.20 2.07 1.27 0.66 - 0.54 0.61 0.70 0.80 2.12 0.94 1.09 -4.65 -0.17 1.32 -// -H OOBM850103 -D Optimized transfer energy parameter (Oobatake et al., 1985) -R -A Oobatake, M., Kubota, Y. and Ooi, T. -T Optimization of amino acid parameters for correspondence of sequence to - tertiary structures of proteuins -J Bull. Inst. Chem. Res., Kyoto Univ. 63, 82-94 (1985) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.46 -1.54 1.31 -0.33 0.20 -1.12 0.48 0.64 -1.31 3.28 - 0.43 -1.71 0.15 0.52 -0.58 -0.83 -1.52 1.25 -2.21 0.54 -// -H OOBM850104 -D Optimized average non-bonded energy per atom (Oobatake et al., 1985) -R -A Oobatake, M., Kubota, Y. and Ooi, T. -T Optimization of amino acid parameters for correspondence of sequence to - tertiary structures of proteuins -J Bull. Inst. Chem. Res., Kyoto Univ. 63, 82-94 (1985) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -2.49 2.55 2.27 8.86 -3.13 1.79 4.04 -0.56 4.22 -10.87 - -7.16 -9.97 -4.96 -6.64 5.19 -1.60 -4.75 -17.84 9.25 -3.97 -// -H OOBM850105 -D Optimized side chain interaction parameter (Oobatake et al., 1985) -R -A Oobatake, M., Kubota, Y. and Ooi, T. -T Optimization of amino acid parameters for correspondence of sequence to - tertiary structures of proteuins -J Bull. Inst. Chem. Res., Kyoto Univ. 63, 82-94 (1985) -C QIAN880127 -0.813 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.55 5.97 5.56 2.85 -0.78 4.15 5.16 9.14 4.48 2.10 - 3.24 10.68 2.18 4.37 5.14 6.78 8.60 1.97 2.40 3.81 -// -H PALJ810101 -D Normalized frequency of alpha-helix from LG (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C LEVM780104 0.988 NAGK730101 0.953 GEIM800101 0.951 - LEVM780101 0.943 PRAM900102 0.943 KANM800101 0.928 - TANS770101 0.918 ROBB760101 0.914 CRAJ730101 0.891 - PALJ810102 0.889 MAXF760101 0.889 ISOY800101 0.882 - CHOP780201 0.881 RACS820108 0.872 BURA740101 0.850 - GEIM800104 0.841 KANM800103 0.836 NAGK730103 -0.808 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.30 0.93 0.90 1.02 0.92 1.04 1.43 0.63 1.33 0.87 - 1.30 1.23 1.32 1.09 0.63 0.78 0.80 1.03 0.71 0.95 -// -H PALJ810102 -D Normalized frequency of alpha-helix from CF (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C CHOP780201 0.981 ISOY800101 0.965 KANM800101 0.962 - MAXF760101 0.959 ROBB760101 0.946 TANS770101 0.923 - KANM800103 0.916 GEIM800101 0.910 LEVM780104 0.906 - PRAM900102 0.902 LEVM780101 0.902 BURA740101 0.900 - PALJ810101 0.889 AURR980112 0.888 GEIM800104 0.886 - RACS820108 0.881 AURR980109 0.877 NAGK730101 0.876 - CRAJ730101 0.872 AURR980108 0.871 QIAN880106 0.871 - PALJ810109 0.864 QIAN880107 0.856 AURR980114 0.848 - AURR980111 0.830 AURR980115 0.827 AURR980110 0.812 - BEGF750101 0.811 CHAM830101 -0.808 CRAJ730103 -0.809 - MUNV940101 -0.815 NAGK730103 -0.818 MUNV940102 -0.824 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.32 1.04 0.74 0.97 0.70 1.25 1.48 0.59 1.06 1.01 - 1.22 1.13 1.47 1.10 0.57 0.77 0.86 1.02 0.72 1.05 -// -H PALJ810103 -D Normalized frequency of beta-sheet from LG (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C LEVM780105 0.980 GEIM800105 0.945 CHOP780202 0.937 - KANM800102 0.932 LIFS790101 0.912 PALJ810104 0.907 - GEIM800107 0.890 ROBB760106 0.886 QIAN880120 0.886 - LIFS790103 0.877 QIAN880121 0.875 ROBB760105 0.869 - PTIO830102 0.867 QIAN880119 0.861 PRAM900103 0.846 - LEVM780102 0.846 QIAN880118 0.845 PALJ810112 0.841 - TANS770103 0.824 KANM800104 0.823 ISOY800102 0.807 - MUNV940103 -0.857 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.81 1.03 0.81 0.71 1.12 1.03 0.59 0.94 0.85 1.47 - 1.03 0.77 0.96 1.13 0.75 1.02 1.19 1.24 1.35 1.44 -// -H PALJ810104 -D Normalized frequency of beta-sheet from CF (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C CHOP780202 0.970 KANM800102 0.948 PTIO830102 0.937 - LIFS790101 0.929 GEIM800107 0.928 LEVM780105 0.921 - QIAN880121 0.910 PALJ810103 0.907 ROBB760106 0.894 - QIAN880120 0.886 BASU050103 0.882 BASU050101 0.873 - LEVM780102 0.868 PRAM900103 0.868 NAGK730102 0.867 - LIFS790103 0.860 PONP930101 0.857 GEIM800105 0.856 - KANM800104 0.851 CHOP780209 0.849 PALJ810112 0.849 - ROBB760105 0.835 VENT840101 0.831 BASU050102 0.826 - QIAN880119 0.822 AVBF000101 0.818 CRAJ730102 0.817 - SWER830101 0.809 CORJ870102 0.809 NISK860101 0.809 - MANP780101 0.805 BEGF750102 0.801 VINM940101 -0.801 - MIYS990104 -0.810 MIYS990103 -0.811 MUNV940103 -0.888 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.90 0.75 0.82 0.75 1.12 0.95 0.44 0.83 0.86 1.59 - 1.24 0.75 0.94 1.41 0.46 0.70 1.20 1.28 1.45 1.73 -// -H PALJ810105 -D Normalized frequency of turn from LG (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C ISOY800103 0.928 LEVM780103 0.909 PRAM900104 0.906 - LEVM780106 0.902 PALJ810116 0.891 CHOP780216 0.881 - CHOP780203 0.878 GEIM800108 0.873 CHOP780101 0.868 - TANS770110 0.860 GEIM800111 0.855 QIAN880133 0.843 - QIAN880132 0.830 CHAM830101 0.826 PALJ810106 0.809 - NAGK730103 0.804 CHOP780210 0.803 AVBF000102 -0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.84 0.91 1.48 1.28 0.69 1. 0.78 1.76 0.53 0.55 - 0.49 0.95 0.52 0.88 1.47 1.29 1.05 0.88 1.28 0.51 -// -H PALJ810106 -D Normalized frequency of turn from CF (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C CHOP780101 0.977 CHAM830101 0.939 TANS770110 0.925 - CHOP780203 0.907 CHOP780210 0.905 CHOP780216 0.904 - ROBB760113 0.895 CRAJ730103 0.884 ROBB760108 0.882 - ROBB760110 0.864 GEIM800108 0.862 QIAN880133 0.860 - BEGF750103 0.859 QIAN880132 0.859 LEVM780106 0.850 - LEVM780103 0.848 GEIM800111 0.844 PRAM900104 0.844 - QIAN880131 0.809 PALJ810105 0.809 ISOY800103 0.807 - CHOP780212 0.801 QIAN880107 -0.821 SUEM840101 -0.832 - KANM800103 -0.840 AURR980114 -0.842 AURR980109 -0.845 - BEGF750101 -0.859 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.65 0.93 1.45 1.47 1.43 0.94 0.75 1.53 0.96 0.57 - 0.56 0.95 0.71 0.72 1.51 1.46 0.96 0.90 1.12 0.55 -// -H PALJ810107 -D Normalized frequency of alpha-helix in all-alpha class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C GEIM800102 0.919 GEIM800109 -0.909 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.08 0.93 1.05 0.86 1.22 0.95 1.09 0.85 1.02 0.98 - 1.04 1.01 1.11 0.96 0.91 0.95 1.15 1.17 0.80 1.03 -// -H PALJ810108 -D Normalized frequency of alpha-helix in alpha+beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.34 0.91 0.83 1.06 1.27 1.13 1.69 0.47 1.11 0.84 - 1.39 1.08 0.90 1.02 0.48 1.05 0.74 0.64 0.73 1.18 -// -H PALJ810109 -D Normalized frequency of alpha-helix in alpha/beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C GEIM800104 0.937 PRAM900102 0.898 LEVM780101 0.898 - MAXF760101 0.876 ISOY800101 0.874 PALJ810102 0.864 - KANM800101 0.849 LEVM780104 0.819 AURR980112 0.817 - GEIM800101 0.816 CHOP780201 0.814 CRAJ730101 0.811 - ROBB760101 0.805 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.15 1.06 0.87 1. 1.03 1.43 1.37 0.64 0.95 0.99 - 1.22 1.20 1.45 0.92 0.72 0.84 0.97 1.11 0.72 0.82 -// -H PALJ810110 -D Normalized frequency of beta-sheet in all-beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C GEIM800106 0.851 ROBB760106 0.836 KANM800102 0.836 - BEGF750102 0.834 GEIM800107 0.826 QIAN880120 0.824 - QIAN880119 0.824 LIFS790101 0.817 AVBF000101 0.816 - CHOP780202 0.808 ROBB760105 0.804 GEIM800110 -0.840 - MUNV940103 -0.845 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.89 1.06 0.67 0.71 1.04 1.06 0.72 0.87 1.04 1.14 - 1.02 1. 1.41 1.32 0.69 0.86 1.15 1.06 1.35 1.66 -// -H PALJ810111 -D Normalized frequency of beta-sheet in alpha+beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.82 0.99 1.27 0.98 0.71 1.01 0.54 0.94 1.26 1.67 - 0.94 0.73 1.30 1.56 0.69 0.65 0.98 1.25 1.26 1.22 -// -H PALJ810112 -D Normalized frequency of beta-sheet in alpha/beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C PRAM900103 0.913 LEVM780102 0.913 GEIM800107 0.905 - LEVM780105 0.870 KANM800102 0.869 PALJ810104 0.849 - LIFS790101 0.845 PALJ810103 0.841 GEIM800105 0.830 - CHOP780202 0.815 KANM800104 0.813 QIAN880121 0.812 - PTIO830102 0.811 MUNV940103 -0.830 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.98 1.03 0.66 0.74 1.01 0.63 0.59 0.90 1.17 1.38 - 1.05 0.83 0.82 1.23 0.73 0.98 1.20 1.26 1.23 1.62 -// -H PALJ810113 -D Normalized frequency of turn in all-alpha class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. - (Arg Cys Leu Trp missing) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.69 0. 1.52 2.42 0. 1.44 0.63 2.64 0.22 0.43 - 0. 1.18 0.88 2.20 1.34 1.43 0.28 0. 1.53 0.14 -// -H PALJ810114 -D Normalized frequency of turn in all-beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. - (Met missing) -C ISOY800103 0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.87 1.30 1.36 1.24 0.83 1.06 0.91 1.69 0.91 0.27 - 0.67 0.66 0. 0.47 1.54 1.08 1.12 1.24 0.54 0.69 -// -H PALJ810115 -D Normalized frequency of turn in alpha+beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C ROBB760112 0.885 QIAN880132 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.91 0.77 1.32 0.90 0.50 1.06 0.53 1.61 1.08 0.36 - 0.77 1.27 0.76 0.37 1.62 1.34 0.87 1.10 1.24 0.52 -// -H PALJ810116 -D Normalized frequency of turn in alpha/beta class (Palau et al., 1981) -R PMID:7118409 -A Palau, J., Argos, P. and Puigdomenech, P. -T Protein secondary structure -J Int. J. Peptide Protein Res. 19, 394-401 (1981) LG :a set of protein samples - formed by 44 proteins. CF :a set of protein samples formed by 33 proteins. -C PALJ810105 0.891 ISOY800103 0.814 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.92 0.90 1.57 1.22 0.62 0.66 0.92 1.61 0.39 0.79 - 0.50 0.86 0.50 0.96 1.30 1.40 1.11 0.57 1.78 0.50 -// -H PARJ860101 -D HPLC parameter (Parker et al., 1986) -R PMID:2430611 -A Parker, J.M.R., Guo, D. and Hodges, R.S. -T New hydrophilicity scale derived from high-performance liquid chromatography - peptide retention data: Correlation of predicted surface residues with - antigencity and x-ray-derived accessible sites -J Biochemistry 25, 5425-5432 (1986) -C WOLS870101 0.964 MIYS990101 0.944 MIYS990102 0.942 - BULH740101 0.909 MEIH800101 0.905 GUYH850103 0.897 - GRAR740102 0.891 OOBM770103 0.891 MIYS990105 0.878 - MIYS990104 0.877 RACS770101 0.871 PUNT030102 0.867 - MIYS990103 0.859 PUNT030101 0.845 VINM940101 0.837 - GUYH850102 0.836 RACS770102 0.834 VINM940102 0.833 - MEIH800102 0.831 CORJ870108 0.831 FASG890101 0.825 - WOEC730101 0.821 HOPT810101 0.819 PARS000101 0.812 - KIDA850101 0.809 LEVM760101 0.806 ROSM880101 0.803 - ROSM880102 0.801 WIMW960101 -0.804 MEEJ800101 -0.806 - CORJ870103 -0.807 MEIH800103 -0.808 NAKH900110 -0.808 - CORJ870106 -0.820 CORJ870104 -0.823 ROSG850102 -0.823 - SIMZ760101 -0.825 GOLD730101 -0.827 LEVM760106 -0.832 - JOND750101 -0.834 ARGP820101 -0.835 CORJ870105 -0.837 - CORJ870107 -0.838 MANP780101 -0.841 PONP930101 -0.846 - VENT840101 -0.846 BROC820101 -0.849 ZHOH040102 -0.854 - RADA880108 -0.865 PONP800107 -0.868 WERD780101 -0.869 - TAKK010101 -0.870 BLAS910101 -0.870 CIDH920101 -0.871 - ROSM880105 -0.871 BASU050103 -0.874 BIOV880102 -0.875 - EISD860101 -0.876 RADA880102 -0.883 ZIMJ680105 -0.886 - BIOV880101 -0.889 CORJ870102 -0.892 SWER830101 -0.893 - ROBB790101 -0.893 ROSM880104 -0.896 ZHOH040103 -0.897 - MEEJ810102 -0.897 BASU050101 -0.897 NOZY710101 -0.900 - MEEJ800102 -0.902 FAUJ830101 -0.907 BASU050102 -0.908 - ZHOH040101 -0.912 CIDH920104 -0.913 NISK860101 -0.916 - CIDH920103 -0.916 MEEJ810101 -0.920 GUOD860101 -0.925 - MIYS850101 -0.929 CIDH920102 -0.930 CIDH920105 -0.948 - PLIV810101 -0.958 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.1 4.2 7.0 10.0 1.4 6.0 7.8 5.7 2.1 -8.0 - -9.2 5.7 -4.2 -9.2 2.1 6.5 5.2 -10.0 -1.9 -3.7 -// -H PLIV810101 -D Partition coefficient (Pliska et al., 1981) -R -A Pliska, V., Schmidt, M. and Fauchere, J.L. -T Partition coefficients of amino acids and hydrophobic parameters pi of their - side-chains as measured by thin-layer chromatography -J J. Chromatogr. 216, 79-92 (1981) (Arg 0.25) -C MIYS850101 0.944 GUOD860101 0.943 FAUJ830101 0.931 - MEEJ810101 0.914 CIDH920105 0.914 RADA880108 0.906 - EISD860101 0.904 CIDH920103 0.899 BIOV880101 0.899 - MEEJ810102 0.898 CIDH920104 0.893 NISK860101 0.892 - ZHOH040103 0.889 BASU050103 0.880 BASU050101 0.879 - CIDH920102 0.877 BASU050102 0.876 SWER830101 0.875 - ZIMJ680105 0.875 ROBB790101 0.875 CORJ870102 0.873 - BLAS910101 0.871 MEEJ800102 0.867 ROSM880104 0.866 - PONP800107 0.866 ZHOH040101 0.864 ROSM880105 0.862 - BIOV880102 0.858 COWR900101 0.857 MANP780101 0.856 - EISD860103 0.852 RADA880102 0.845 CIDH920101 0.843 - WERD780101 0.841 ROSG850102 0.841 NOZY710101 0.839 - LEVM760106 0.830 CORJ870107 0.829 CORJ870105 0.827 - TAKK010101 0.822 CORJ870104 0.821 CORJ870106 0.820 - ARGP820101 0.820 PONP930101 0.819 JOND750101 0.819 - MEIH800103 0.811 ZHOH040102 0.809 PONP800101 0.806 - NADH010104 0.806 SIMZ760101 0.805 NADH010103 0.804 - PONP800103 0.802 LEVM760101 -0.801 GUYH850102 -0.802 - FUKS010103 -0.805 VINM940102 -0.808 ROSM880101 -0.834 - GUYH850101 -0.836 CORJ870108 -0.838 KIDA850101 -0.841 - MEIH800102 -0.849 OOBM770103 -0.852 FASG890101 -0.858 - PUNT030102 -0.858 RACS770102 -0.859 PUNT030101 -0.860 - MIYS990103 -0.861 ROSM880102 -0.864 RACS770101 -0.868 - MIYS990104 -0.869 MIYS990105 -0.869 GUYH850103 -0.881 - GRAR740102 -0.888 MEIH800101 -0.896 BULH740101 -0.912 - MIYS990102 -0.942 MIYS990101 -0.944 PARJ860101 -0.958 - WOLS870101 -0.963 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -2.89 -3.30 -3.41 -3.38 -2.49 -3.15 -2.94 -3.25 -2.84 -1.72 - -1.61 -3.31 -1.84 -1.63 -2.50 -3.30 -2.91 -1.75 -2.42 -2.08 -// -H PONP800101 -D Surrounding hydrophobicity in folded form (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C PONP800102 0.990 MANP780101 0.963 NISK800101 0.960 - PONP800103 0.957 PONP930101 0.945 CORJ870101 0.939 - PONP800108 0.938 ROSG850102 0.938 RADA880108 0.934 - NISK860101 0.930 CORJ870107 0.923 BIOV880101 0.918 - CORJ870103 0.917 BASU050103 0.915 CORJ870104 0.913 - NADH010103 0.894 MIYS850101 0.892 NADH010104 0.892 - CIDH920104 0.888 CORJ870106 0.887 BASU050101 0.882 - WERD780101 0.880 CIDH920103 0.876 NADH010102 0.875 - CASG920101 0.874 PONP800106 0.871 MEIH800103 0.869 - CORJ870105 0.867 JANJ790101 0.866 BIOV880102 0.860 - DESM900102 0.858 JURD980101 0.858 CIDH920105 0.856 - NADH010105 0.853 KYTJ820101 0.851 JANJ780102 0.851 - BASU050102 0.848 DESM900101 0.847 ZHOH040103 0.847 - CHOC760103 0.830 ROBB760106 0.829 KANM800102 0.829 - NADH010101 0.826 ROBB760105 0.823 KANM800104 0.823 - LIFS790101 0.823 FAUJ830101 0.822 ROBB790101 0.822 - PTIO830102 0.819 QIAN880121 0.815 BAEK050101 0.812 - PLIV810101 0.806 CIDH920101 0.805 LIFS790102 0.804 - QIAN880122 0.801 PUNT030101 -0.800 FUKS010103 -0.801 - KRIW790102 -0.804 VINM940103 -0.813 MUNV940103 -0.819 - GUYH850103 -0.822 PUNT030102 -0.827 OOBM770101 -0.835 - VINM940102 -0.845 OOBM770103 -0.848 GRAR740102 -0.849 - KRIW710101 -0.850 RACS770101 -0.863 RACS770102 -0.870 - GUYH850102 -0.873 MEIH800102 -0.877 GUYH850101 -0.877 - VINM940101 -0.878 MIYS990101 -0.883 MIYS990102 -0.886 - KRIW790101 -0.888 MEIH800101 -0.888 KARP850102 -0.889 - MIYS990105 -0.918 MIYS990104 -0.924 CORJ870108 -0.928 - FASG890101 -0.932 MIYS990103 -0.940 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 12.28 11.49 11.00 10.97 14.93 11.28 11.19 12.01 12.84 14.77 - 14.10 10.80 14.33 13.43 11.19 11.26 11.65 12.95 13.29 15.07 -// -H PONP800102 -D Average gain in surrounding hydrophobicity (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C PONP800101 0.990 PONP800103 0.986 NISK800101 0.965 - CORJ870101 0.954 ROSG850102 0.949 PONP800108 0.948 - MANP780101 0.945 RADA880108 0.938 PONP930101 0.934 - BIOV880101 0.926 NISK860101 0.924 NADH010103 0.919 - NADH010104 0.917 CORJ870103 0.907 CORJ870107 0.905 - BASU050103 0.902 NADH010102 0.901 CORJ870104 0.901 - JANJ790101 0.897 MIYS850101 0.891 CASG920101 0.889 - MEIH800103 0.885 PONP800106 0.883 WERD780101 0.883 - DESM900102 0.880 CIDH920104 0.880 JANJ780102 0.875 - DESM900101 0.871 NADH010105 0.869 JURD980101 0.869 - BIOV880102 0.867 CORJ870106 0.864 BASU050101 0.864 - KYTJ820101 0.861 ZHOH040103 0.858 CIDH920103 0.849 - BASU050102 0.843 CORJ870105 0.841 FAUJ830101 0.841 - CHOC760103 0.836 NADH010101 0.832 CIDH920105 0.831 - ROBB760105 0.828 JANJ790102 0.822 ROBB760106 0.822 - BAEK050101 0.818 KANM800102 0.815 EISD860103 0.814 - KANM800104 0.813 ROBB790101 0.807 MUNV940103 -0.802 - GUYH850103 -0.808 RACS770103 -0.809 VINM940103 -0.820 - GUYH850104 -0.824 PUNT030102 -0.827 RACS770101 -0.827 - KRIW790102 -0.830 VINM940102 -0.842 OOBM770103 -0.854 - OOBM770101 -0.862 RACS770102 -0.864 MEIH800101 -0.870 - GRAR740102 -0.871 MIYS990101 -0.874 GUYH850102 -0.874 - MIYS990102 -0.877 GUYH850101 -0.883 MEIH800102 -0.883 - VINM940101 -0.883 KARP850102 -0.887 KRIW710101 -0.887 - CORJ870108 -0.911 KRIW790101 -0.915 MIYS990105 -0.927 - MIYS990104 -0.930 FASG890101 -0.944 MIYS990103 -0.946 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.62 6.81 6.17 6.18 10.93 6.67 6.38 7.31 7.85 9.99 - 9.37 5.72 9.83 8.99 6.64 6.93 7.08 8.41 8.53 10.38 -// -H PONP800103 -D Average gain ratio in surrounding hydrophobicity (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C PONP800102 0.986 PONP800101 0.957 ROSG850102 0.947 - CORJ870101 0.944 NISK800101 0.941 RADA880108 0.934 - NADH010103 0.932 PONP800108 0.931 BIOV880101 0.926 - NADH010104 0.926 NADH010102 0.921 MANP780101 0.913 - NISK860101 0.910 PONP930101 0.909 MIYS850101 0.898 - DESM900102 0.896 MEIH800103 0.895 CORJ870103 0.889 - DESM900101 0.887 JANJ790101 0.886 CORJ870107 0.884 - CORJ870104 0.884 PONP800106 0.883 JANJ780102 0.882 - JURD980101 0.879 BIOV880102 0.879 BASU050103 0.879 - CASG920101 0.879 WERD780101 0.876 KYTJ820101 0.870 - NADH010105 0.866 FAUJ830101 0.863 CIDH920104 0.863 - ZHOH040103 0.861 JANJ790102 0.844 BASU050101 0.842 - EISD860103 0.842 CORJ870106 0.840 CHOC760103 0.837 - NADH010101 0.833 BASU050102 0.828 ROBB760105 0.823 - CIDH920103 0.823 CORJ870105 0.821 ROBB760106 0.812 - CIDH920105 0.807 NADH010106 0.803 KANM800102 0.803 - PLIV810101 0.802 OLSK800101 0.801 PUNT030101 -0.812 - JANJ780103 -0.812 VINM940103 -0.817 RACS770103 -0.819 - VINM940102 -0.820 WOEC730101 -0.823 PUNT030102 -0.834 - GUYH850104 -0.845 KRIW790102 -0.853 GUYH850102 -0.856 - MEIH800101 -0.856 RACS770102 -0.860 OOBM770103 -0.865 - KARP850102 -0.870 MIYS990101 -0.871 MIYS990102 -0.875 - VINM940101 -0.878 OOBM770101 -0.880 GUYH850101 -0.887 - CORJ870108 -0.889 KRIW710101 -0.890 MEIH800102 -0.891 - GRAR740102 -0.897 MIYS990105 -0.928 MIYS990104 -0.929 - KRIW790101 -0.930 FASG890101 -0.936 MIYS990103 -0.943 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.63 2.45 2.27 2.29 3.36 2.45 2.31 2.55 2.57 3.08 - 2.98 2.12 3.18 3.02 2.46 2.60 2.55 2.85 2.79 3.21 -// -H PONP800104 -D Surrounding hydrophobicity in alpha-helix (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C CHOC760104 0.844 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 13.65 11.28 12.24 10.98 14.49 11.30 12.55 15.36 11.59 14.63 - 14.01 11.96 13.40 14.08 11.51 11.26 13.00 12.06 12.64 12.88 -// -H PONP800105 -D Surrounding hydrophobicity in beta-sheet (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 14.60 13.24 11.79 13.78 15.90 12.02 13.59 14.18 15.35 14.10 - 16.49 13.28 16.23 14.18 14.10 13.36 14.50 13.90 14.76 16.30 -// -H PONP800106 -D Surrounding hydrophobicity in turn (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C PONP800102 0.883 PONP800103 0.883 PONP800101 0.871 - CORJ870104 0.842 RADA880108 0.835 CORJ870107 0.834 - CORJ870103 0.821 MANP780101 0.813 MIYS850101 0.812 - CORJ870106 0.807 ROSG850102 0.807 MIYS990103 -0.807 - KARP850102 -0.820 FASG890101 -0.823 GUYH850101 -0.826 - KRIW710101 -0.841 CORJ870108 -0.859 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 10.67 11.05 10.85 10.21 14.15 11.71 11.71 10.95 12.07 12.95 - 13.07 9.93 15.00 13.27 10.62 11.18 10.53 11.41 11.52 13.86 -// -H PONP800107 -D Accessibility reduction ratio (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C MIYS850101 0.884 MANP780101 0.871 PLIV810101 0.866 - GUOD860101 0.854 PONP930101 0.851 LIFS790102 0.849 - NISK860101 0.847 PTIO830102 0.837 CIDH920103 0.833 - CIDH920104 0.832 BASU050101 0.825 CIDH920105 0.818 - BIOV880101 0.816 BIOV880102 0.814 CHOC760103 0.813 - CORJ870105 0.812 BASU050103 0.812 VENT840101 0.805 - CORJ870107 0.805 BEGF750102 0.803 ROSG850102 0.803 - LIFS790101 0.801 RADA880108 0.800 CORJ870106 0.800 - PUNT030101 -0.804 CHOP780203 -0.818 OOBM770103 -0.819 - CHOP780210 -0.820 WOLS870101 -0.852 MEIH800102 -0.858 - PARJ860101 -0.868 MIYS990101 -0.877 RACS770102 -0.878 - MIYS990102 -0.879 RACS770101 -0.905 MEIH800101 -0.909 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 3.70 2.53 2.12 2.60 3.03 2.70 3.30 3.13 3.57 7.69 - 5.88 1.79 5.21 6.60 2.12 2.43 2.60 6.25 3.03 7.14 -// -H PONP800108 -D Average number of surrounding residues (Ponnuswamy et al., 1980) -R PMID:7397216 -A Ponnuswamy, P.K., Prabhakaran, M. and Manavalan, P. -T Hydrophobic packing and spatial arrangement of amino acid residues in - globular proteins -J Biochim. Biophys. Acta 623, 301-316 (1980) -C NISK800101 0.976 CORJ870101 0.969 PONP800102 0.948 - PONP930101 0.944 PONP800101 0.938 MANP780101 0.935 - PONP800103 0.931 BASU050103 0.921 NISK860101 0.921 - ROSG850102 0.919 CIDH920104 0.909 BIOV880101 0.907 - NADH010103 0.907 NADH010104 0.902 CASG920101 0.901 - BASU050101 0.894 NADH010102 0.890 RADA880108 0.889 - ZHOH040103 0.887 JANJ790101 0.881 BASU050102 0.880 - FAUJ830101 0.875 CORJ870103 0.873 JANJ780102 0.863 - MEIH800103 0.862 CORJ870104 0.861 CORJ870107 0.859 - JURD980101 0.856 BIOV880102 0.854 KYTJ820101 0.850 - KANM800102 0.849 KANM800104 0.849 MIYS850101 0.847 - NADH010105 0.845 WERD780101 0.843 CIDH920105 0.843 - CIDH920103 0.841 DESM900102 0.833 BAEK050101 0.833 - ROBB790101 0.831 LIFS790101 0.828 NADH010101 0.820 - ROBB760105 0.820 GEIM800107 0.817 CORJ870106 0.813 - QIAN880122 0.811 BLAS910101 0.810 EISD860103 0.809 - CHOC760103 0.809 CHOP780202 0.809 ROSM880105 0.808 - ROBB760106 0.808 QIAN880121 0.802 JANJ790102 0.802 - CORJ870105 0.801 GUYH850104 -0.807 MEIH800101 -0.825 - GUYH850103 -0.828 WOEC730101 -0.831 MEIH800102 -0.836 - OOBM770101 -0.851 CORJ870108 -0.853 PUNT030102 -0.855 - KRIW790101 -0.860 MIYS990101 -0.866 MIYS990102 -0.869 - VINM940102 -0.871 GUYH850102 -0.873 VINM940101 -0.891 - OOBM770103 -0.896 GRAR740102 -0.907 FASG890101 -0.913 - MIYS990104 -0.918 MIYS990103 -0.920 MIYS990105 -0.927 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.05 5.70 5.04 4.95 7.86 5.45 5.10 6.16 5.80 7.51 - 7.37 4.88 6.39 6.62 5.65 5.53 5.81 6.98 6.73 7.62 -// -H PRAM820101 -D Intercept in regression analysis (Prabhakaran-Ponnuswamy, 1982) -R -A Prabhakaran, M. and Ponnuswamy, P.K. -T Shape and surface features of globular proteins -J Macromolecules 15, 314-320 (1982) Regression analysis of solvent contact area - and spatial position -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.305 0.227 0.322 0.335 0.339 0.306 0.282 0.352 0.215 0.278 - 0.262 0.391 0.280 0.195 0.346 0.326 0.251 0.291 0.293 0.291 -// -H PRAM820102 -D Slope in regression analysis x 1.0E1 (Prabhakaran-Ponnuswamy, 1982) -R -A Prabhakaran, M. and Ponnuswamy, P.K. -T Shape and surface features of globular proteins -J Macromolecules 15, 314-320 (1982) Regression analysis of solvent contact area - and spatial position -C LEVM760104 0.812 PRAM820103 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.175 0.083 0.090 0.140 0.074 0.093 0.135 0.201 0.125 0.100 - 0.104 0.058 0.054 0.104 0.136 0.155 0.152 0.092 0.081 0.096 -// -H PRAM820103 -D Correlation coefficient in regression analysis (Prabhakaran-Ponnuswamy, 1982) -R -A Prabhakaran, M. and Ponnuswamy, P.K. -T Shape and surface features of globular proteins -J Macromolecules 15, 314-320 (1982) Regression analysis of solvent contact area - and spatial position -C PRAM820102 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.687 0.590 0.489 0.632 0.263 0.527 0.669 0.670 0.594 0.564 - 0.541 0.407 0.328 0.577 0.600 0.692 0.713 0.632 0.495 0.529 -// -H PRAM900101 -D Hydrophobicity (Prabhakaran, 1990) -R PMID:2390062 -A Prabhakaran, M. -T The distribution of physical, chemical and conformational properties in - signal and nascent peptides -J Biochem. J. 269, 691-696 (1990) Original references: Engelman, D.M., Steitz, - T.A. and Terwilliger, T.C. Annu. Rev. Biophys. Chem. 15, 321-353 (1986) -C ENGD860101 1.000 ROSM880101 0.917 VHEG790101 0.909 - KUHL950101 0.908 OOBM770101 0.907 JANJ780101 0.901 - ROSM880102 0.892 PUNT030101 0.889 JANJ780103 0.884 - HOPT810101 0.881 GUYH850104 0.881 LEVM760101 0.881 - WOEC730101 0.871 PUNT030102 0.869 GUYH850105 0.867 - KIDA850101 0.866 GRAR740102 0.855 ZIMJ680103 0.854 - CHOC760102 0.826 MONM990101 0.820 GUYH850101 0.820 - FAUJ880109 0.815 RADA880104 -0.803 OLSK800101 -0.806 - CHOC760103 -0.814 NADH010103 -0.815 WARP780101 -0.827 - EISD860103 -0.831 NADH010101 -0.843 KYTJ820101 -0.850 - FAUJ830101 -0.853 JANJ780102 -0.860 EISD860101 -0.862 - JURD980101 -0.862 BLAS910101 -0.864 RADA880107 -0.865 - NADH010102 -0.870 WOLR790101 -0.877 WOLR810101 -0.887 - JANJ790102 -0.890 DESM900102 -0.890 ROSM880105 -0.912 - RADA880101 -0.932 EISD840101 -0.936 JACR890101 -0.948 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -6.70 51.50 20.10 38.50 -8.40 17.20 34.30 -4.20 12.60 -13. - -11.70 36.80 -14.20 -15.50 0.80 -2.50 -5. -7.90 2.90 -10.90 -// -H PRAM900102 -D Relative frequency in alpha-helix (Prabhakaran, 1990) -R PMID:2390062 -A Prabhakaran, M. -T The distribution of physical, chemical and conformational properties in - signal and nascent peptides -J Biochem. J. 269, 691-696 (1990) Original reference of these three data: - Creighton, T.E. In "Protein Structure and Melecular Properties", (Freeman, - W.H., ed.), San Francisco P.235 (1983) -C LEVM780101 1.000 LEVM780104 0.964 PALJ810101 0.943 - KANM800101 0.942 ISOY800101 0.929 MAXF760101 0.924 - ROBB760101 0.916 GEIM800101 0.912 GEIM800104 0.907 - RACS820108 0.904 PALJ810102 0.902 PALJ810109 0.898 - NAGK730101 0.894 CRAJ730101 0.887 CHOP780201 0.873 - TANS770101 0.854 KANM800103 0.850 QIAN880107 0.829 - QIAN880106 0.827 BURA740101 0.805 NAGK730103 -0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.29 0.96 0.90 1.04 1.11 1.27 1.44 0.56 1.22 0.97 - 1.30 1.23 1.47 1.07 0.52 0.82 0.82 0.99 0.72 0.91 -// -H PRAM900103 -D Relative frequency in beta-sheet (Prabhakaran, 1990) -R PMID:2390062 -A Prabhakaran, M. -T The distribution of physical, chemical and conformational properties in - signal and nascent peptides -J Biochem. J. 269, 691-696 (1990) Original reference of these three data: - Creighton, T.E. In "Protein Structure and Melecular Properties", (Freeman, - W.H., ed.), San Francisco P.235 (1983) -C LEVM780102 1.000 PALJ810112 0.913 LEVM780105 0.899 - PALJ810104 0.868 PTIO830102 0.865 LIFS790101 0.864 - QIAN880120 0.858 KANM800102 0.856 PALJ810103 0.846 - GEIM800107 0.842 BEGF750102 0.834 QIAN880119 0.834 - CHOP780202 0.833 AVBF000101 0.815 QIAN880121 0.805 - MUNV940103 -0.848 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.90 0.99 0.76 0.72 0.74 0.80 0.75 0.92 1.08 1.45 - 1.02 0.77 0.97 1.32 0.64 0.95 1.21 1.14 1.25 1.49 -// -H PRAM900104 -D Relative frequency in reverse-turn (Prabhakaran, 1990) -R PMID:2390062 -A Prabhakaran, M. -T The distribution of physical, chemical and conformational properties in - signal and nascent peptides -J Biochem. J. 269, 691-696 (1990) Original reference of these three data: - Creighton, T.E. In "Protein Structure and Melecular Properties", (Freeman, - W.H., ed.), San Francisco P.235 (1983) -C LEVM780103 1.000 LEVM780106 0.983 GEIM800111 0.954 - CHOP780216 0.951 QIAN880133 0.947 QIAN880134 0.934 - ISOY800103 0.934 QIAN880132 0.932 GEIM800108 0.931 - CHOP780203 0.928 CHAM830101 0.909 PALJ810105 0.906 - QIAN880135 0.903 CHOP780101 0.891 TANS770110 0.873 - CHOP780210 0.850 PALJ810106 0.844 RACS770101 0.809 - KANM800103 -0.814 AURR980109 -0.815 QIAN880108 -0.819 - QIAN880107 -0.829 AVBF000102 -0.834 ROBB760103 -0.840 - FAUJ880102 -0.844 QIAN880109 -0.846 PTIO830101 -0.858 - SUEM840101 -0.865 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.78 0.88 1.28 1.41 0.80 0.97 1. 1.64 0.69 0.51 - 0.59 0.96 0.39 0.58 1.91 1.33 1.03 0.75 1.05 0.47 -// -H PTIO830101 -D Helix-coil equilibrium constant (Ptitsyn-Finkelstein, 1983) -R PMID:6673754 -A Ptitsyn, O.B. and Finkelstein, A.V. -T Theory of protein secondary structure and algorithm of its prediction -J Biopolymers 22, 15-25 (1983) Charged state for Arg, His, Lys, Asp, and Glu -C ROBB760103 0.903 QIAN880109 0.886 QIAN880108 0.884 - SUEM840101 0.877 BLAM930101 0.868 QIAN880111 0.857 - ONEK900101 0.847 QIAN880107 0.846 QIAN880110 0.835 - AURR980113 0.833 FAUJ880102 0.832 FINA770101 0.826 - AURR980109 0.820 ROBB760104 0.817 AURR980114 0.809 - MUNV940104 -0.807 QIAN880131 -0.826 ONEK900102 -0.830 - ISOY800104 -0.832 MUNV940105 -0.833 QIAN880132 -0.833 - CHOP780213 -0.835 GEIM800108 -0.840 CHAM830101 -0.841 - MUNV940102 -0.844 LEVM780106 -0.854 CHOP780216 -0.855 - PRAM900104 -0.858 LEVM780103 -0.860 QIAN880133 -0.864 - GEIM800111 -0.876 MUNV940101 -0.880 QIAN880135 -0.899 - QIAN880134 -0.920 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.10 0.95 0.80 0.65 0.95 1.00 1.00 0.60 0.85 1.10 - 1.25 1.00 1.15 1.10 0.10 0.75 0.75 1.10 1.10 0.95 -// -H PTIO830102 -D Beta-coil equilibrium constant (Ptitsyn-Finkelstein, 1983) -R PMID:6673754 -A Ptitsyn, O.B. and Finkelstein, A.V. -T Theory of protein secondary structure and algorithm of its prediction -J Biopolymers 22, 15-25 (1983) Charged state for Arg, His, Lys, Asp, and Glu -C LIFS790101 0.941 PALJ810104 0.937 KANM800102 0.917 - CHOP780202 0.913 QIAN880120 0.908 BASU050101 0.903 - LEVM780105 0.894 BASU050103 0.888 ROBB760106 0.882 - QIAN880121 0.880 PONP930101 0.879 ROBB760105 0.878 - LIFS790102 0.874 PALJ810103 0.867 QIAN880119 0.865 - LEVM780102 0.865 PRAM900103 0.865 AVBF000101 0.861 - MANP780101 0.861 KANM800104 0.858 SWER830101 0.856 - CORJ870102 0.854 GEIM800107 0.850 BASU050102 0.848 - VENT840101 0.842 CIDH920104 0.842 PONP800107 0.837 - NISK860101 0.825 LIFS790103 0.822 CRAJ730102 0.820 - PONP800101 0.819 CHOP780209 0.814 ZHOH040103 0.813 - CIDH920105 0.813 NAGK730102 0.811 PALJ810112 0.811 - GEIM800105 0.810 CORJ870107 0.810 CORJ870106 0.809 - CIDH920103 0.807 BEGF750102 0.807 MIYS850101 0.807 - OOBM770103 -0.801 KRIW790101 -0.801 CORJ870108 -0.812 - MIYS990104 -0.818 MIYS990103 -0.820 MEIH800101 -0.828 - MIYS990101 -0.833 MIYS990102 -0.834 MUNV940103 -0.903 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 0.70 0.60 0.50 1.90 1.00 0.70 0.30 0.80 4.00 - 2.00 0.70 1.90 3.10 0.20 0.90 1.70 2.20 2.80 4.00 -// -H QIAN880101 -D Weights for alpha-helix at the window position of -6 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.12 0.04 -0.10 0.01 -0.25 -0.03 -0.02 -0.02 -0.06 -0.07 - 0.05 0.26 0.00 0.05 -0.19 -0.19 -0.04 -0.06 -0.14 -0.03 -// -H QIAN880102 -D Weights for alpha-helix at the window position of -5 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.26 -0.14 -0.03 0.15 -0.15 -0.13 0.21 -0.37 0.10 -0.03 - -0.02 0.12 0.00 0.12 -0.08 0.01 -0.34 -0.01 -0.29 0.02 -// -H QIAN880103 -D Weights for alpha-helix at the window position of -4 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.64 -0.10 0.09 0.33 0.03 -0.23 0.51 -0.09 -0.23 -0.22 - 0.41 -0.17 0.13 -0.03 -0.43 -0.10 -0.07 -0.02 -0.38 -0.01 -// -H QIAN880104 -D Weights for alpha-helix at the window position of -3 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880106 0.851 QIAN880105 0.824 AURR980108 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.29 -0.03 -0.04 0.11 -0.05 0.26 0.28 -0.67 -0.26 0.00 - 0.47 -0.19 0.27 0.24 -0.34 -0.17 -0.20 0.25 -0.30 -0.01 -// -H QIAN880105 -D Weights for alpha-helix at the window position of -2 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C ROBB760101 0.874 QIAN880106 0.846 CHOP780201 0.835 - AURR980113 0.833 BEGF750101 0.833 QIAN880107 0.829 - ISOY800101 0.828 KANM800101 0.827 QIAN880104 0.824 - RACS820108 0.820 KANM800103 0.820 ROBB760103 0.811 - MAXF760101 0.811 CHAM830101 -0.803 MUNV940102 -0.816 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.68 -0.22 -0.09 -0.02 -0.15 -0.15 0.44 -0.73 -0.14 -0.08 - 0.61 0.03 0.39 0.06 -0.76 -0.26 -0.10 0.20 -0.04 0.12 -// -H QIAN880106 -D Weights for alpha-helix at the window position of -1 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C ROBB760101 0.904 ISOY800101 0.903 QIAN880107 0.896 - KANM800103 0.889 MAXF760101 0.881 CHOP780201 0.874 - PALJ810102 0.871 RACS820108 0.866 AURR980109 0.862 - ROBB760103 0.854 KANM800101 0.854 QIAN880104 0.851 - QIAN880105 0.846 AURR980112 0.839 AURR980108 0.838 - AURR980113 0.835 RICJ880109 0.834 PRAM900102 0.827 - LEVM780101 0.827 TANS770101 0.819 FINA770101 0.810 - LEVM780104 0.804 AURR980110 0.804 AURR980114 0.803 - QIAN880132 -0.813 MUNV940101 -0.835 CHAM830101 -0.856 - MUNV940102 -0.867 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.34 0.22 -0.33 0.06 -0.18 0.01 0.20 -0.88 -0.09 -0.03 - 0.20 -0.11 0.43 0.15 -0.81 -0.35 -0.37 0.07 -0.31 0.13 -// -H QIAN880107 -D Weights for alpha-helix at the window position of 0 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C KANM800103 0.908 QIAN880106 0.896 AURR980109 0.893 - ROBB760103 0.889 ISOY800101 0.887 MAXF760101 0.885 - AURR980114 0.876 QIAN880108 0.872 ROBB760101 0.867 - QIAN880109 0.865 PALJ810102 0.856 KANM800101 0.854 - QIAN880110 0.853 PTIO830101 0.846 CHOP780201 0.843 - AURR980113 0.832 RACS820108 0.831 LEVM780101 0.829 - PRAM900102 0.829 QIAN880105 0.829 LEVM780104 0.822 - BEGF750101 0.815 AURR980110 0.815 FINA770101 0.814 - TANS770101 0.804 AURR980108 0.803 SUEM840101 0.803 - AURR980112 0.802 CHOP780216 -0.808 QIAN880133 -0.809 - CHOP780101 -0.809 LEVM780106 -0.813 PALJ810106 -0.821 - PRAM900104 -0.829 LEVM780103 -0.834 CRAJ730103 -0.840 - CHAM830101 -0.858 MUNV940101 -0.880 MUNV940102 -0.882 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.57 0.23 -0.36 -0.46 -0.15 0.15 0.26 -0.71 -0.05 0.00 - 0.48 0.16 0.41 0.03 -1.12 -0.47 -0.54 -0.10 -0.35 0.31 -// -H QIAN880108 -D Weights for alpha-helix at the window position of 1 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880109 0.951 ROBB760103 0.914 QIAN880110 0.901 - PTIO830101 0.884 ROBB760104 0.879 QIAN880107 0.872 - ONEK900101 0.866 BLAM930101 0.860 KANM800103 0.829 - RACS820108 0.820 QIAN880111 0.819 PRAM900104 -0.819 - LEVM780103 -0.820 QIAN880135 -0.836 MUNV940102 -0.839 - QIAN880136 -0.843 QIAN880134 -0.845 ISOY800104 -0.847 - ONEK900102 -0.860 MUNV940101 -0.864 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.33 0.10 -0.19 -0.44 -0.03 0.19 0.21 -0.46 0.27 -0.33 - 0.57 0.23 0.79 0.48 -1.86 -0.23 -0.33 0.15 -0.19 0.24 -// -H QIAN880109 -D Weights for alpha-helix at the window position of 2 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880110 0.953 QIAN880108 0.951 QIAN880111 0.912 - PTIO830101 0.886 ROBB760104 0.871 ROBB760103 0.868 - QIAN880107 0.865 BLAM930101 0.828 KANM800103 0.824 - QIAN880112 0.824 ONEK900101 0.824 AURR980114 0.810 - AURR980109 0.807 CHOP780205 0.806 ONEK900102 -0.800 - LEVM780106 -0.815 MUNV940101 -0.841 QIAN880134 -0.841 - PRAM900104 -0.846 LEVM780103 -0.848 QIAN880135 -0.884 - QIAN880136 -0.927 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.13 0.08 -0.07 -0.71 -0.09 0.12 0.13 -0.39 0.32 0.00 - 0.50 0.37 0.63 0.15 -1.40 -0.28 -0.21 0.02 -0.10 0.17 -// -H QIAN880110 -D Weights for alpha-helix at the window position of 3 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880109 0.953 QIAN880111 0.922 QIAN880108 0.901 - QIAN880107 0.853 PTIO830101 0.835 QIAN880112 0.828 - KANM800103 0.820 AURR980114 0.819 ROBB760103 0.807 - ROBB760104 0.806 AURR980109 0.802 QIAN880136 -0.890 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.31 0.18 -0.10 -0.81 -0.26 0.41 -0.06 -0.42 0.51 -0.15 - 0.56 0.47 0.58 0.10 -1.33 -0.49 -0.44 0.14 -0.08 -0.01 -// -H QIAN880111 -D Weights for alpha-helix at the window position of 4 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880110 0.922 QIAN880109 0.912 QIAN880112 0.861 - PTIO830101 0.857 QIAN880108 0.819 QIAN880135 -0.878 - QIAN880136 -0.900 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.21 0.07 -0.04 -0.58 -0.12 0.13 -0.23 -0.15 0.37 0.31 - 0.70 0.28 0.61 -0.06 -1.03 -0.28 -0.25 0.21 0.16 0.00 -// -H QIAN880112 -D Weights for alpha-helix at the window position of 5 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880111 0.861 QIAN880113 0.859 QIAN880110 0.828 - QIAN880109 0.824 QIAN880136 -0.812 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.18 0.21 -0.03 -0.32 -0.29 -0.27 -0.25 -0.40 0.28 -0.03 - 0.62 0.41 0.21 0.05 -0.84 -0.05 -0.16 0.32 0.11 0.06 -// -H QIAN880113 -D Weights for alpha-helix at the window position of 6 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880112 0.859 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.08 0.05 -0.08 -0.24 -0.25 -0.28 -0.19 -0.10 0.29 -0.01 - 0.28 0.45 0.11 0.00 -0.42 0.07 -0.33 0.36 0.00 -0.13 -// -H QIAN880114 -D Weights for beta-sheet at the window position of -6 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880115 0.832 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.18 -0.13 0.28 0.05 -0.26 0.21 -0.06 0.23 0.24 -0.42 - -0.23 0.03 -0.42 -0.18 -0.13 0.41 0.33 -0.10 -0.10 -0.07 -// -H QIAN880115 -D Weights for beta-sheet at the window position of -5 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880114 0.832 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.01 0.02 0.41 -0.09 -0.27 0.01 0.09 0.13 0.22 -0.27 - -0.25 0.08 -0.57 -0.12 0.26 0.44 0.35 -0.15 0.15 -0.09 -// -H QIAN880116 -D Weights for beta-sheet at the window position of -4 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880126 0.823 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.19 0.03 0.02 -0.06 -0.29 0.02 -0.10 0.19 -0.16 -0.08 - -0.42 -0.09 -0.38 -0.32 0.05 0.25 0.22 -0.19 0.05 -0.15 -// -H QIAN880117 -D Weights for beta-sheet at the window position of -3 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.14 0.14 -0.27 -0.10 -0.64 -0.11 -0.39 0.46 -0.04 0.16 - -0.57 0.04 0.24 0.08 0.02 -0.12 0.00 -0.10 0.18 0.29 -// -H QIAN880118 -D Weights for beta-sheet at the window position of -2 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C PALJ810103 0.845 LEVM780105 0.819 QIAN880119 0.812 - GEIM800105 0.810 KANM800102 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.31 0.25 -0.53 -0.54 -0.06 0.07 -0.52 0.37 -0.32 0.57 - 0.09 -0.29 0.29 0.24 -0.31 0.11 0.03 0.15 0.29 0.48 -// -H QIAN880119 -D Weights for beta-sheet at the window position of -1 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880120 0.959 LIFS790101 0.929 LEVM780105 0.903 - ROBB760106 0.897 KANM800102 0.888 LIFS790103 0.877 - PTIO830102 0.865 QIAN880121 0.862 PALJ810103 0.861 - ROBB760105 0.859 AVBF000101 0.859 CHOP780202 0.855 - KANM800104 0.841 PONP930101 0.836 PRAM900103 0.834 - LEVM780102 0.834 GEIM800105 0.829 OOBM850101 0.825 - PALJ810110 0.824 PALJ810104 0.822 QIAN880118 0.812 - BEGF750102 0.811 CORJ870105 0.810 GEIM800107 0.807 - CHOP780208 0.807 BASU050101 0.805 CORJ870106 0.803 - LEVM780106 -0.810 GEIM800108 -0.810 CHOP780203 -0.814 - QIAN880131 -0.830 QIAN880133 -0.849 GEIM800110 -0.853 - QIAN880132 -0.858 MUNV940103 -0.927 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.10 0.19 -0.89 -0.89 0.13 -0.04 -0.34 -0.45 -0.34 0.95 - 0.32 -0.46 0.43 0.36 -0.91 -0.12 0.49 0.34 0.42 0.76 -// -H QIAN880120 -D Weights for beta-sheet at the window position of 0 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C LIFS790101 0.969 QIAN880119 0.959 LIFS790103 0.939 - QIAN880121 0.935 CHOP780202 0.915 LEVM780105 0.913 - PTIO830102 0.908 ROBB760106 0.908 KANM800102 0.896 - PALJ810103 0.886 PALJ810104 0.886 PONP930101 0.879 - AVBF000101 0.876 CORJ870106 0.866 ROBB760105 0.860 - PRAM900103 0.858 LEVM780102 0.858 CORJ870105 0.858 - BASU050101 0.856 GEIM800107 0.843 CORJ870107 0.840 - BASU050102 0.837 NISK860101 0.837 BEGF750102 0.829 - CORJ870102 0.825 SWER830101 0.825 GEIM800106 0.825 - PALJ810110 0.824 GEIM800105 0.822 BASU050103 0.811 - MANP780101 0.806 KANM800104 0.803 CORJ870101 0.802 - CHOP780208 0.800 CHOP780216 -0.800 QIAN880131 -0.801 - GEIM800108 -0.804 VINM940102 -0.813 GEIM800111 -0.816 - VINM940101 -0.823 OOBM770103 -0.824 MIYS990103 -0.829 - LEVM780106 -0.831 MIYS990104 -0.833 CORJ870108 -0.834 - QIAN880132 -0.839 QIAN880134 -0.842 PARS000101 -0.863 - QIAN880133 -0.863 GEIM800110 -0.898 MUNV940103 -0.959 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.25 -0.02 -0.77 -1.01 0.13 -0.12 -0.62 -0.72 -0.16 1.10 - 0.23 -0.59 0.32 0.48 -1.24 -0.31 0.17 0.45 0.77 0.69 -// -H QIAN880121 -D Weights for beta-sheet at the window position of 1 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880120 0.935 LIFS790101 0.930 CHOP780202 0.911 - PALJ810104 0.910 ROBB760106 0.907 KANM800102 0.900 - PONP930101 0.893 LIFS790103 0.882 PTIO830102 0.880 - LEVM780105 0.876 PALJ810103 0.875 GEIM800107 0.875 - QIAN880119 0.862 AVBF000101 0.855 CORJ870101 0.842 - QIAN880122 0.838 BAEK050101 0.836 ROBB760105 0.834 - NISK860101 0.829 KANM800104 0.829 BASU050103 0.828 - BASU050101 0.828 BASU050102 0.825 NISK800101 0.818 - PONP800101 0.815 PALJ810112 0.812 GEIM800105 0.811 - CHOP780209 0.809 CORJ870107 0.806 CORJ870106 0.806 - PRAM900103 0.805 LEVM780102 0.805 PONP800108 0.802 - MANP780101 0.802 QIAN880133 -0.802 KRIW790101 -0.803 - GEIM800110 -0.806 PARS000101 -0.809 VINM940101 -0.828 - MIYS990104 -0.832 QIAN880134 -0.838 MIYS990103 -0.838 - MUNV940103 -0.938 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.26 -0.09 -0.34 -0.55 0.47 -0.33 -0.75 -0.56 -0.04 0.94 - 0.25 -0.55 -0.05 0.20 -1.28 -0.28 0.08 0.22 0.53 0.67 -// -H QIAN880122 -D Weights for beta-sheet at the window position of 2 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880121 0.838 PONP930101 0.837 CORJ870101 0.826 - PONP800108 0.811 NADH010103 0.809 CORJ870103 0.808 - NISK800101 0.808 NADH010104 0.804 PONP800101 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.05 -0.11 -0.40 -0.11 0.36 -0.67 -0.35 0.14 0.02 0.47 - 0.32 -0.51 -0.10 0.20 -0.79 0.03 -0.15 0.09 0.34 0.58 -// -H QIAN880123 -D Weights for beta-sheet at the window position of 3 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.44 -0.13 0.05 -0.20 0.13 -0.58 -0.28 0.08 0.09 -0.04 - -0.12 -0.33 -0.21 -0.13 -0.48 0.27 0.47 -0.22 -0.11 0.06 -// -H QIAN880124 -D Weights for beta-sheet at the window position of 4 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.31 -0.10 0.06 0.13 -0.11 -0.47 -0.05 0.45 -0.06 -0.25 - -0.44 -0.44 -0.28 -0.04 -0.29 0.34 0.27 -0.08 0.06 0.11 -// -H QIAN880125 -D Weights for beta-sheet at the window position of 5 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.02 0.04 0.03 0.11 -0.02 -0.17 0.10 0.38 -0.09 -0.48 - -0.26 -0.39 -0.14 -0.03 -0.04 0.41 0.36 -0.01 -0.08 -0.18 -// -H QIAN880126 -D Weights for beta-sheet at the window position of 6 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880116 0.823 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.06 0.02 0.10 0.24 -0.19 -0.04 -0.04 0.17 0.19 -0.20 - -0.46 -0.43 -0.52 -0.33 0.37 0.43 0.50 -0.32 0.35 0.00 -// -H QIAN880127 -D Weights for coil at the window position of -6 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C OOBM850105 -0.813 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.05 0.06 0.00 0.15 0.30 -0.08 -0.02 -0.14 -0.07 0.26 - 0.04 -0.42 0.25 0.09 0.31 -0.11 -0.06 0.19 0.33 0.04 -// -H QIAN880128 -D Weights for coil at the window position of -5 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.19 0.17 -0.38 0.09 0.41 0.04 -0.20 0.28 -0.19 -0.06 - 0.34 -0.20 0.45 0.07 0.04 -0.23 -0.02 0.16 0.22 0.05 -// -H QIAN880129 -D Weights for coil at the window position of -4 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.43 0.06 0.00 -0.31 0.19 0.14 -0.41 -0.21 0.21 0.29 - -0.10 0.33 -0.01 0.25 0.28 -0.23 -0.26 0.15 0.09 -0.10 -// -H QIAN880130 -D Weights for coil at the window position of -3 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.19 -0.07 0.17 -0.27 0.42 -0.29 -0.22 0.17 0.17 -0.34 - -0.22 0.00 -0.53 -0.31 0.14 0.22 0.10 -0.15 -0.02 -0.33 -// -H QIAN880131 -D Weights for coil at the window position of -2 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C CHOP780216 0.873 TANS770110 0.873 QIAN880133 0.871 - CHOP780203 0.861 CHAM830101 0.860 GEIM800108 0.860 - GEIM800111 0.857 QIAN880132 0.847 QIAN880135 0.844 - QIAN880134 0.832 CHOP780210 0.826 CHOP780101 0.824 - PALJ810106 0.809 QIAN880120 -0.801 SUEM840101 -0.823 - PTIO830101 -0.826 QIAN880119 -0.830 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.25 0.12 0.61 0.60 0.18 0.09 -0.12 0.09 0.42 -0.54 - -0.55 0.14 -0.47 -0.29 0.89 0.24 0.16 -0.44 -0.19 -0.45 -// -H QIAN880132 -D Weights for coil at the window position of -1 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880133 0.957 LEVM780106 0.943 PRAM900104 0.932 - LEVM780103 0.931 CHOP780216 0.931 GEIM800111 0.929 - CHOP780203 0.928 CHAM830101 0.925 QIAN880134 0.909 - GEIM800108 0.906 TANS770110 0.903 CHOP780101 0.896 - ISOY800103 0.892 PALJ810106 0.859 CHOP780210 0.852 - QIAN880131 0.847 PALJ810105 0.830 QIAN880135 0.824 - PALJ810115 0.804 ROBB760112 0.800 AURR980109 -0.806 - LIFS790101 -0.806 AVBF000101 -0.809 QIAN880106 -0.813 - ROBB760103 -0.827 PTIO830101 -0.833 QIAN880120 -0.839 - AVBF000102 -0.849 FAUJ880102 -0.849 QIAN880119 -0.858 - SUEM840101 -0.880 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.27 -0.40 0.71 0.54 0.00 -0.08 -0.12 1.14 0.18 -0.74 - -0.54 0.45 -0.76 -0.47 1.40 0.40 -0.10 -0.46 -0.05 -0.86 -// -H QIAN880133 -D Weights for coil at the window position of 0 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C LEVM780106 0.971 QIAN880132 0.957 LEVM780103 0.948 - PRAM900104 0.947 GEIM800111 0.943 CHOP780216 0.939 - QIAN880134 0.938 GEIM800108 0.930 TANS770110 0.920 - CHOP780203 0.915 CHAM830101 0.913 ISOY800103 0.908 - QIAN880135 0.907 CHOP780101 0.897 QIAN880131 0.871 - PALJ810106 0.860 PALJ810105 0.843 MUNV940103 0.836 - GEIM800110 0.822 CHOP780210 0.820 ROBB760112 0.814 - QIAN880121 -0.802 ROBB760103 -0.807 AVBF000101 -0.807 - QIAN880107 -0.809 AVBF000102 -0.823 LIFS790101 -0.848 - QIAN880119 -0.849 FAUJ880102 -0.851 QIAN880120 -0.863 - PTIO830101 -0.864 SUEM840101 -0.879 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.42 -0.23 0.81 0.95 -0.18 -0.01 -0.09 1.24 0.05 -1.17 - -0.69 0.09 -0.86 -0.39 1.77 0.63 0.29 -0.37 -0.41 -1.32 -// -H QIAN880134 -D Weights for coil at the window position of 1 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880135 0.961 QIAN880133 0.938 LEVM780103 0.935 - PRAM900104 0.934 LEVM780106 0.932 GEIM800111 0.919 - QIAN880132 0.909 CHOP780216 0.900 MUNV940105 0.899 - MUNV940104 0.897 ISOY800104 0.893 GEIM800108 0.884 - CHOP780213 0.870 MUNV940103 0.858 GEIM800110 0.853 - CHAM830101 0.841 CHOP780203 0.838 TANS770104 0.837 - QIAN880131 0.832 ISOY800103 0.828 ROBB760104 -0.802 - LIFS790101 -0.804 AVBF000101 -0.822 BLAM930101 -0.836 - QIAN880121 -0.838 QIAN880109 -0.841 QIAN880120 -0.842 - QIAN880108 -0.845 FAUJ880102 -0.852 ROBB760103 -0.855 - PTIO830101 -0.920 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.24 -0.04 0.45 0.65 -0.38 0.01 0.07 0.85 -0.21 -0.65 - -0.80 0.17 -0.71 -0.61 2.27 0.33 0.13 -0.44 -0.49 -0.99 -// -H QIAN880135 -D Weights for coil at the window position of 2 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) (Gin !) -C QIAN880134 0.961 QIAN880133 0.907 LEVM780103 0.906 - PRAM900104 0.903 LEVM780106 0.902 GEIM800111 0.895 - CHOP780216 0.884 GEIM800108 0.877 CHOP780213 0.851 - QIAN880131 0.844 GEIM800110 0.842 QIAN880136 0.838 - ISOY800104 0.837 MUNV940105 0.829 QIAN880132 0.824 - MUNV940103 0.820 MUNV940104 0.819 CHAM830101 0.814 - CHOP780203 0.811 ROBB760103 -0.834 QIAN880108 -0.836 - QIAN880111 -0.878 QIAN880109 -0.884 PTIO830101 -0.899 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.14 0.21 0.35 0.66 -0.09 0.11 0.06 0.36 -0.31 -0.51 - -0.80 -0.14 -0.56 -0.25 1.59 0.32 0.21 -0.17 -0.35 -0.70 -// -H QIAN880136 -D Weights for coil at the window position of 3 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C QIAN880135 0.838 QIAN880112 -0.812 QIAN880108 -0.843 - QIAN880110 -0.890 QIAN880111 -0.900 QIAN880109 -0.927 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.01 -0.13 -0.11 0.78 -0.31 -0.13 0.09 0.14 -0.56 -0.09 - -0.81 -0.43 -0.49 -0.20 1.14 0.13 -0.02 -0.20 0.10 -0.11 -// -H QIAN880137 -D Weights for coil at the window position of 4 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.30 -0.09 -0.12 0.44 0.03 0.24 0.18 -0.12 -0.20 -0.07 - -0.18 0.06 -0.44 0.11 0.77 -0.09 -0.27 -0.09 -0.25 -0.06 -// -H QIAN880138 -D Weights for coil at the window position of 5 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.23 -0.20 0.06 0.34 0.19 0.47 0.28 0.14 -0.22 0.42 - -0.36 -0.15 -0.19 -0.02 0.78 -0.29 -0.30 -0.18 0.07 0.29 -// -H QIAN880139 -D Weights for coil at the window position of 6 (Qian-Sejnowski, 1988) -R PMID:3172241 -A Qian, N. and Sejnowski, T.J. -T Predicting the secondary structure of globular proteins using neural network - models -J J. Mol. Biol. 202, 865-884 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.08 -0.01 -0.06 0.04 0.37 0.48 0.36 -0.02 -0.45 0.09 - 0.24 -0.27 0.16 0.34 0.16 -0.35 -0.04 -0.06 -0.20 0.18 -// -H RACS770101 -D Average reduced distance for C-alpha (Rackovsky-Scheraga, 1977) -R PMID:271950 -A Rackovsky, S. and Scheraga, H.A. -T Hydrophobicity, hydrophilicity, and the radial and orientational - distributions of residues in native proteins -J Proc. Natl. Acad. Sci. USA 74, 5248-5251 (1977) -C MEIH800101 0.973 RACS770102 0.946 MIYS990102 0.921 - MIYS990101 0.920 MEIH800102 0.905 CORJ870108 0.891 - MIYS990103 0.887 MIYS990104 0.884 FASG890101 0.872 - PARJ860101 0.871 KARP850102 0.869 MIYS990105 0.866 - GUYH850102 0.859 GUYH850101 0.853 GUYH850103 0.844 - KARP850101 0.837 VINM940101 0.835 OOBM770103 0.835 - VINM940103 0.829 KRIW790101 0.828 CHOP780203 0.827 - PUNT030101 0.821 FUKS010103 0.819 KRIW790102 0.814 - PRAM900104 0.809 LEVM780103 0.808 PARS000101 0.804 - RACS770103 0.801 CORJ870102 -0.802 SWER830101 -0.803 - GUOD860101 -0.805 NISK800101 -0.805 NADH010103 -0.807 - CASG920101 -0.807 NADH010104 -0.813 CIDH920102 -0.825 - PONP800102 -0.827 ZHOH040103 -0.835 CIDH920101 -0.837 - ROBB790101 -0.839 BEGF750102 -0.840 MEIH800103 -0.845 - RICJ880111 -0.846 BASU050103 -0.848 BASU050101 -0.850 - BASU050102 -0.854 CORJ870104 -0.860 PONP800101 -0.863 - CIDH920104 -0.864 PLIV810101 -0.868 CORJ870103 -0.870 - BIOV880102 -0.875 CORJ870105 -0.876 MANP780101 -0.878 - CORJ870106 -0.879 ROSG850102 -0.880 CIDH920103 -0.881 - PONP930101 -0.886 RADA880108 -0.887 CIDH920105 -0.887 - BIOV880101 -0.893 CORJ870107 -0.898 PONP800107 -0.905 - WERD780101 -0.912 NISK860101 -0.923 MIYS850101 -0.940 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.934 0.962 0.986 0.994 0.900 1.047 0.986 1.015 0.882 0.766 - 0.825 1.040 0.804 0.773 1.047 1.056 1.008 0.848 0.931 0.825 -// -H RACS770102 -D Average reduced distance for side chain (Rackovsky-Scheraga, 1977) -R PMID:271950 -A Rackovsky, S. and Scheraga, H.A. -T Hydrophobicity, hydrophilicity, and the radial and orientational - distributions of residues in native proteins -J Proc. Natl. Acad. Sci. USA 74, 5248-5251 (1977) (Gly 0.080) -C MEIH800102 0.987 MEIH800101 0.963 RACS770101 0.946 - FASG890101 0.935 GUYH850101 0.934 MIYS990102 0.919 - MIYS990101 0.917 MIYS990103 0.908 KRIW790102 0.895 - PUNT030101 0.894 MIYS990105 0.893 MIYS990104 0.892 - RACS770103 0.889 KRIW790101 0.871 CORJ870108 0.863 - GUYH850102 0.853 KARP850102 0.852 GUYH850104 0.849 - VINM940101 0.844 VINM940103 0.839 OOBM770101 0.838 - PARJ860101 0.834 PUNT030102 0.828 OOBM770103 0.828 - ROSM880102 0.824 JANJ780103 0.823 CHOC760102 0.809 - WOLS870101 0.802 NADH010105 -0.800 DESM900101 -0.801 - BASU050102 -0.807 NADH010101 -0.808 BASU050101 -0.813 - NISK800101 -0.818 CIDH920105 -0.830 ZHOH040103 -0.832 - CIDH920103 -0.834 CORJ870101 -0.837 CORJ870104 -0.838 - CORJ870106 -0.839 CORJ870105 -0.839 FAUJ830101 -0.843 - KYTJ820101 -0.844 OLSK800101 -0.845 CASG920101 -0.849 - JANJ790102 -0.851 CORJ870103 -0.852 CIDH920104 -0.854 - JURD980101 -0.855 EISD860103 -0.858 PLIV810101 -0.859 - PONP800103 -0.860 BASU050103 -0.861 PONP800102 -0.864 - MANP780101 -0.865 DESM900102 -0.867 JANJ780102 -0.869 - PONP800101 -0.870 PONP930101 -0.871 CORJ870107 -0.871 - CHOC760103 -0.875 PONP800107 -0.878 NADH010104 -0.883 - NADH010103 -0.893 NADH010102 -0.899 WERD780101 -0.906 - NISK860101 -0.913 MEIH800103 -0.918 BIOV880102 -0.932 - BIOV880101 -0.937 ROSG850102 -0.940 RADA880108 -0.942 - MIYS850101 -0.943 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.941 1.112 1.038 1.071 0.866 1.150 1.100 1.055 0.911 0.742 - 0.798 1.232 0.781 0.723 1.093 1.082 1.043 0.867 1.050 0.817 -// -H RACS770103 -D Side chain orientational preference (Rackovsky-Scheraga, 1977) -R PMID:271950 -A Rackovsky, S. and Scheraga, H.A. -T Hydrophobicity, hydrophilicity, and the radial and orientational - distributions of residues in native proteins -J Proc. Natl. Acad. Sci. USA 74, 5248-5251 (1977) (Gly !) (Ratio of the numbers - of occurrences in two orientations) -C MEIH800102 0.903 RACS770102 0.889 KRIW790102 0.889 - OOBM770101 0.871 MIYS990105 0.852 JANJ780103 0.847 - FASG890101 0.842 MIYS990103 0.840 GUYH850104 0.839 - MEIH800101 0.837 MIYS990104 0.833 VINM940101 0.830 - PUNT030101 0.830 OOBM770103 0.823 GUYH850102 0.821 - GUYH850101 0.816 VINM940104 0.804 RACS770101 0.801 - CORJ870107 -0.808 PONP800102 -0.809 MIYS850101 -0.818 - PONP800103 -0.819 CORJ870103 -0.827 JANJ780102 -0.828 - NADH010104 -0.832 CORJ870101 -0.832 JANJ790102 -0.834 - DESM900101 -0.837 NISK860101 -0.837 WERD780101 -0.846 - CASG920101 -0.846 WARP780101 -0.848 NADH010103 -0.851 - BIOV880101 -0.856 RADA880108 -0.863 DESM900102 -0.868 - NADH010102 -0.876 ROSG850102 -0.901 BIOV880102 -0.906 - MEIH800103 -0.919 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.16 1.72 1.97 2.66 0.50 3.87 2.40 1.63 0.86 0.57 - 0.51 3.90 0.40 0.43 2.04 1.61 1.48 0.75 1.72 0.59 -// -H RACS820101 -D Average relative fractional occurrence in A0(i) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.85 2.02 0.88 1.50 0.90 1.71 1.79 1.54 1.59 0.67 - 1.03 0.88 1.17 0.85 1.47 1.50 1.96 0.83 1.34 0.89 -// -H RACS820102 -D Average relative fractional occurrence in AR(i) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.58 1.14 0.77 0.98 1.04 1.24 1.49 0.66 0.99 1.09 - 1.21 1.27 1.41 1.00 1.46 1.05 0.87 1.23 0.68 0.88 -// -H RACS820103 -D Average relative fractional occurrence in AL(i) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.82 2.60 2.07 2.64 0.00 0.00 2.62 1.63 0.00 2.32 - 0.00 2.86 0.00 0.00 0.00 1.23 2.48 0.00 1.90 1.62 -// -H RACS820104 -D Average relative fractional occurrence in EL(i) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.78 1.75 1.32 1.25 3.14 0.93 0.94 1.13 1.03 1.26 - 0.91 0.85 0.41 1.07 1.73 1.31 1.57 0.98 1.31 1.11 -// -H RACS820105 -D Average relative fractional occurrence in E0(i) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C NAKH900102 -0.839 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.88 0.99 1.02 1.16 1.14 0.93 1.01 0.70 1.87 1.61 - 1.09 0.83 1.71 1.52 0.87 1.14 0.96 1.96 1.68 1.56 -// -H RACS820106 -D Average relative fractional occurrence in ER(i) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C ISOY800108 0.831 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.30 0.90 2.73 1.26 0.72 0.97 1.33 3.09 1.33 0.45 - 0.96 0.71 1.89 1.20 0.83 1.16 0.97 1.58 0.86 0.64 -// -H RACS820107 -D Average relative fractional occurrence in A0(i-1) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.40 1.20 1.24 1.59 2.98 0.50 1.26 1.89 2.71 1.31 - 0.57 0.87 0.00 1.27 0.38 0.92 1.38 1.53 1.79 0.95 -// -H RACS820108 -D Average relative fractional occurrence in AR(i-1) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C KANM800101 0.914 LEVM780101 0.904 PRAM900102 0.904 - ISOY800101 0.904 ROBB760101 0.889 LEVM780104 0.889 - PALJ810102 0.881 GEIM800101 0.880 PALJ810101 0.872 - CHOP780201 0.868 QIAN880106 0.866 MAXF760101 0.860 - KANM800103 0.858 ROBB760103 0.851 GEIM800104 0.851 - TANS770101 0.845 AURR980112 0.840 CRAJ730101 0.839 - QIAN880107 0.831 QIAN880108 0.820 NAGK730101 0.820 - QIAN880105 0.820 AURR980114 0.818 BURA740101 0.809 - AURR980109 0.804 AURR980115 0.802 MUNV940101 -0.859 - MUNV940102 -0.894 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.48 1.02 0.99 1.19 0.86 1.42 1.43 0.46 1.27 1.12 - 1.33 1.36 1.41 1.30 0.25 0.89 0.81 1.27 0.91 0.93 -// -H RACS820109 -D Average relative fractional occurrence in AL(i-1) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C ISOY800108 0.848 MAXF760104 0.844 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.00 0.00 4.14 2.15 0.00 0.00 0.00 6.49 0.00 0.00 - 0.00 0.00 0.00 2.11 1.99 0.00 1.24 0.00 1.90 0.00 -// -H RACS820110 -D Average relative fractional occurrence in EL(i-1) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C MUNV940105 0.833 MUNV940104 0.831 AVBF000102 -0.801 - ROBB760104 -0.818 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.02 1.00 1.31 1.76 1.05 1.05 0.83 2.39 0.40 0.83 - 1.06 0.94 1.33 0.41 2.73 1.18 0.77 1.22 1.09 0.88 -// -H RACS820111 -D Average relative fractional occurrence in E0(i-1) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C TANS770103 0.841 MAXF760102 0.815 ROBB760105 0.803 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.93 1.52 0.92 0.60 1.08 0.94 0.73 0.78 1.08 1.74 - 1.03 1.00 1.31 1.51 1.37 0.97 1.38 1.12 1.65 1.70 -// -H RACS820112 -D Average relative fractional occurrence in ER(i-1) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.99 1.19 1.15 1.18 2.32 1.52 1.36 1.40 1.06 0.81 - 1.26 0.91 1.00 1.25 0.00 1.50 1.18 1.33 1.09 1.01 -// -H RACS820113 -D Value of theta(i) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 17.05 21.25 34.81 19.27 28.84 15.42 20.12 38.14 23.07 16.66 - 10.89 16.46 20.61 16.26 23.94 19.95 18.92 23.36 26.49 17.06 -// -H RACS820114 -D Value of theta(i-1) (Rackovsky-Scheraga, 1982) -R -A Rackovsky, S. and Scheraga, H.A. -T Differential geometry and polymer conformation. 4. Conformational and - nucleation properties of individual amino acids -J Macromolecules 15, 1340-1346 (1982) -C MUNV940102 0.877 ONEK900102 0.855 MUNV940101 0.828 - ROBB760103 -0.806 BLAM930101 -0.862 ONEK900101 -0.880 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 14.53 17.82 13.59 19.78 30.57 22.18 18.19 37.16 22.63 20.28 - 14.30 14.07 20.61 19.61 52.63 18.56 21.09 19.78 26.36 21.87 -// -H RADA880101 -D Transfer free energy from chx to wat (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro missing) -C EISD840101 0.968 WOLR810101 0.939 JACR890101 0.936 - ROSM880105 0.933 WOLR790101 0.933 BLAS910101 0.922 - NADH010101 0.902 RADA880104 0.901 JURD980101 0.893 - EISD860101 0.891 KYTJ820101 0.884 RADA880107 0.881 - FAUJ830101 0.873 JANJ780102 0.855 CHOC760103 0.853 - EISD860103 0.850 NADH010102 0.845 COWR900101 0.840 - OLSK800101 0.840 JANJ790102 0.839 DESM900102 0.828 - BASU050103 0.809 NADH010103 0.809 RADA880108 0.807 - YUTK870101 0.803 WOEC730101 -0.812 CHOC760102 -0.814 - GUYH850101 -0.815 JANJ780103 -0.817 WOLS870101 -0.823 - HOPT810101 -0.829 GUYH850104 -0.831 FAUJ880110 -0.838 - LEVM760101 -0.838 JANJ780101 -0.844 GRAR740102 -0.861 - OOBM770101 -0.863 FAUJ880109 -0.873 PUNT030102 -0.881 - KIDA850101 -0.883 PUNT030101 -0.886 GUYH850105 -0.899 - ROSM880102 -0.917 VHEG790101 -0.925 ENGD860101 -0.932 - PRAM900101 -0.932 KUHL950101 -0.950 ROSM880101 -0.978 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.81 -14.92 -6.64 -8.72 1.28 -5.54 -6.81 0.94 -4.66 4.92 - 4.92 -5.55 2.35 2.98 0. -3.40 -2.57 2.33 -0.14 4.04 -// -H RADA880102 -D Transfer free energy from oct to wat (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro Cys Asp missing) -C NOZY710101 0.917 EISD860101 0.912 MEEJ800102 0.900 - ROSM880105 0.870 CIDH920102 0.862 CIDH920105 0.861 - ZIMJ680105 0.851 FAUJ830101 0.846 PLIV810101 0.845 - TAKK010101 0.830 GUOD860101 0.829 ZHOH040101 0.828 - VENT840101 0.826 BLAS910101 0.826 MIYS850101 0.824 - CORJ870102 0.821 SWER830101 0.820 CIDH920103 0.819 - CIDH920104 0.817 BASU050103 0.815 MEEJ810102 0.813 - ZHOH040103 0.813 BROC820101 0.811 BASU050102 0.809 - PUNT030102 -0.811 MEIH800101 -0.816 VHEG790101 -0.818 - PUNT030101 -0.821 MIYS990102 -0.834 MIYS990101 -0.837 - LEVM760101 -0.838 BULH740101 -0.856 HOPT810101 -0.859 - WOLS870101 -0.873 PARJ860101 -0.883 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.52 -1.32 -0.01 0. 0. -0.07 -0.79 0. 0.95 2.04 - 1.76 0.08 1.32 2.09 0. 0.04 0.27 2.51 1.63 1.18 -// -H RADA880103 -D Transfer free energy from vap to chx (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro missing) -C FAUJ880104 -0.806 CHAM830105 -0.808 HUTJ700102 -0.812 - ROSG850101 -0.814 FAUJ880106 -0.823 MCMT640101 -0.833 - HARY940101 -0.840 GOLD730102 -0.864 BIGC670101 -0.865 - KRIW790103 -0.871 PONJ960101 -0.873 TSAJ990101 -0.875 - TSAJ990102 -0.879 GRAR740103 -0.881 CHOC750101 -0.892 - LEVM760105 -0.893 RADA880106 -0.895 CHAM830106 -0.901 - CHAM820101 -0.912 LEVM760102 -0.913 FAUJ880103 -0.923 - CHOC760101 -0.924 FASG760101 -0.954 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.13 -5. -3.04 -2.23 -2.52 -3.84 -3.43 1.45 -5.61 -2.77 - -2.64 -3.97 -3.83 -3.74 0. -1.66 -2.31 -8.21 -5.97 -2.05 -// -H RADA880104 -D Transfer free energy from chx to oct (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro Cys Asp missing) -C WOLR790101 0.926 RADA880105 0.918 WOLR810101 0.910 - EISD840101 0.908 RADA880101 0.901 RADA880107 0.897 - JACR890101 0.868 JURD980101 0.824 CHOC760103 0.821 - KYTJ820101 0.819 NADH010101 0.819 COWR900101 0.818 - OLSK800101 0.814 ENGD860101 -0.803 PRAM900101 -0.803 - KIDA850101 -0.805 JANJ780101 -0.825 CHOC760102 -0.830 - KUHL950101 -0.847 ROSM880102 -0.855 ROSM880101 -0.863 - GUYH850105 -0.899 FAUJ880109 -0.926 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.29 -13.60 -6.63 0. 0. -5.47 -6.02 0.94 -5.61 2.88 - 3.16 -5.63 1.03 0.89 0. -3.44 -2.84 -0.18 -1.77 2.86 -// -H RADA880105 -D Transfer free energy from vap to oct (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro Cys Asp missing) -C RADA880104 0.918 WOLR790101 0.903 WOLR810101 0.875 - RADA880107 0.846 GUYH850105 -0.809 FAUJ880109 -0.889 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.42 -18.60 -9.67 0. 0. -9.31 -9.45 2.39 -11.22 0.11 - 0.52 -9.60 -2.80 -2.85 0. -5.10 -5.15 -8.39 -7.74 0.81 -// -H RADA880106 -D Accessible surface area (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro missing) -C CHAM830106 0.922 GRAR740103 0.920 KRIW790103 0.883 - CHOC760101 0.875 LEVM760102 0.871 LEVM760105 0.871 - FASG760101 0.870 FAUJ880103 0.869 CHOC750101 0.867 - TSAJ990102 0.864 TSAJ990101 0.861 PONJ960101 0.860 - BIGC670101 0.856 GOLD730102 0.854 CHAM820101 0.847 - HARY940101 0.846 ROSG850101 0.814 RADA880103 -0.895 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 93.7 250.4 146.3 142.6 135.2 177.7 182.9 52.6 188.1 182.2 - 173.7 215.2 197.6 228.6 0. 109.5 142.1 271.6 239.9 157.2 -// -H RADA880107 -D Energy transfer from out to in(95%buried) (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro missing) -C EISD840101 0.927 JANJ790102 0.906 WOLR790101 0.905 - RADA880104 0.897 JACR890101 0.895 WOLR810101 0.890 - RADA880101 0.881 OLSK800101 0.874 CHOC760103 0.870 - JANJ780102 0.856 RADA880105 0.846 JURD980101 0.842 - KYTJ820101 0.828 NADH010102 0.823 EISD860103 0.812 - COWR900101 0.810 EISD860102 -0.837 KIDA850101 -0.837 - OOBM770101 -0.854 JANJ780103 -0.856 KUHL950101 -0.857 - ENGD860101 -0.865 PRAM900101 -0.865 ROSM880101 -0.867 - ROSM880102 -0.894 GUYH850104 -0.896 JANJ780101 -0.917 - CHOC760102 -0.925 GUYH850105 -0.953 FAUJ880109 -0.957 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.29 -2.71 -1.18 -1.02 0. -1.53 -0.90 -0.34 -0.94 0.24 - -0.12 -2.05 -0.24 0. 0. -0.75 -0.71 -0.59 -1.02 0.09 -// -H RADA880108 -D Mean polarity (Radzicka-Wolfenden, 1988) -R -A Radzicka, A. and Wolfenden, R. -T Comparing the polarities of the amino acids: Side-chain distribution - coefficients between the vapor phase, cyclohexane, 1-octanol, and neutral - aqueous solution -J Biochemistry 27, 1664-1670 (1988) (Pro missing) -C BIOV880101 0.981 ROSG850102 0.967 MIYS850101 0.950 - NISK860101 0.950 BIOV880102 0.942 PONP800102 0.938 - PONP800103 0.934 PONP800101 0.934 FAUJ830101 0.932 - WERD780101 0.930 BASU050103 0.926 NADH010103 0.919 - MEIH800103 0.916 NADH010104 0.915 CIDH920104 0.914 - NADH010102 0.911 PLIV810101 0.906 ZHOH040103 0.904 - CASG920101 0.903 NISK800101 0.902 MANP780101 0.900 - CIDH920105 0.898 CORJ870101 0.895 PONP930101 0.891 - CIDH920103 0.891 CORJ870107 0.889 PONP800108 0.889 - DESM900102 0.881 CORJ870104 0.880 CORJ870103 0.876 - EISD860103 0.873 BASU050102 0.870 JANJ780102 0.869 - BASU050101 0.867 ROBB790101 0.867 CORJ870106 0.863 - ROSM880105 0.861 CIDH920101 0.858 JURD980101 0.857 - CORJ870105 0.854 JANJ790102 0.853 NADH010105 0.845 - EISD860101 0.844 KYTJ820101 0.842 NADH010101 0.838 - PONP800106 0.835 CIDH920102 0.833 CHOC760103 0.830 - BLAS910101 0.826 SWER830101 0.826 JANJ790101 0.824 - CORJ870102 0.823 EISD840101 0.817 GUOD860101 0.812 - DESM900101 0.812 RADA880101 0.807 MEEJ810101 0.804 - PONP800107 0.800 KARP850101 -0.804 JANJ780103 -0.805 - FUKS010102 -0.815 LEVM760101 -0.824 WOEC730101 -0.825 - ROSM880101 -0.831 HOPT810101 -0.831 KUHL950101 -0.839 - FUKS010103 -0.840 WOLS870101 -0.840 VINM940102 -0.846 - GUYH850104 -0.847 KRIW710101 -0.847 FUKS010104 -0.851 - KRIW790102 -0.856 ROSM880102 -0.861 VINM940103 -0.862 - RACS770103 -0.863 OOBM770101 -0.864 PARJ860101 -0.865 - PUNT030102 -0.869 GUYH850103 -0.870 KIDA850101 -0.875 - OOBM770103 -0.878 KARP850102 -0.879 PUNT030101 -0.884 - RACS770101 -0.887 CORJ870108 -0.893 KRIW790101 -0.897 - GRAR740102 -0.899 GUYH850102 -0.902 VINM940101 -0.906 - MIYS990101 -0.932 MIYS990102 -0.934 MEIH800101 -0.940 - RACS770102 -0.942 MIYS990104 -0.943 GUYH850101 -0.948 - MIYS990105 -0.950 MIYS990103 -0.950 MEIH800102 -0.953 - FASG890101 -0.977 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.06 -0.84 -0.48 -0.80 1.36 -0.73 -0.77 -0.41 0.49 1.31 - 1.21 -1.18 1.27 1.27 0. -0.50 -0.27 0.88 0.33 1.09 -// -H RICJ880101 -D Relative preference value at N" (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C RICJ880102 1.000 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.7 0.4 1.2 1.4 0.6 1. 1. 1.6 1.2 0.9 - 0.9 1. 0.3 1.2 0.7 1.6 0.3 1.1 1.9 0.7 -// -H RICJ880102 -D Relative preference value at N' (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C RICJ880101 1.000 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.7 0.4 1.2 1.4 0.6 1. 1. 1.6 1.2 0.9 - 0.9 1. 0.3 1.2 0.7 1.6 0.3 1.1 1.9 0.7 -// -H RICJ880103 -D Relative preference value at N-cap (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.5 0.4 3.5 2.1 0.6 0.4 0.4 1.8 1.1 0.2 - 0.2 0.7 0.8 0.2 0.8 2.3 1.6 0.3 0.8 0.1 -// -H RICJ880104 -D Relative preference value at N1 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.2 0.7 0.7 0.8 0.8 0.7 2.2 0.3 0.7 0.9 - 0.9 0.6 0.3 0.5 2.6 0.7 0.8 2.1 1.8 1.1 -// -H RICJ880105 -D Relative preference value at N2 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.6 0.9 0.7 2.6 1.2 0.8 2. 0.9 0.7 0.7 - 0.3 1. 1. 0.9 0.5 0.8 0.7 1.7 0.4 0.6 -// -H RICJ880106 -D Relative preference value at N3 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C FAUJ880112 0.849 AURR980107 0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1. 0.4 0.7 2.2 0.6 1.5 3.3 0.6 0.7 0.4 - 0.6 0.8 1. 0.6 0.4 0.4 1. 1.4 1.2 1.1 -// -H RICJ880107 -D Relative preference value at N4 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C CHOP780210 -0.818 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.1 1.5 0. 0.3 1.1 1.3 0.5 0.4 1.5 1.1 - 2.6 0.8 1.7 1.9 0.1 0.4 0.5 3.1 0.6 1.5 -// -H RICJ880108 -D Relative preference value at N5 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.4 1.2 1.2 0.6 1.6 1.4 0.9 0.6 0.9 0.9 - 1.1 1.9 1.7 1. 0.3 1.1 0.6 1.4 0.2 0.8 -// -H RICJ880109 -D Relative preference value at Mid (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C QIAN880106 0.834 ROBB760103 0.831 KANM800103 0.829 - AURR980109 0.828 AURR980113 0.808 CHAM830101 -0.826 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.8 1.3 0.9 1. 0.7 1.3 0.8 0.5 1. 1.2 - 1.2 1.1 1.5 1.3 0.3 0.6 1. 1.5 0.8 1.2 -// -H RICJ880110 -D Relative preference value at C5 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.8 1. 0.6 0.7 0. 1. 1.1 0.5 2.4 1.3 - 1.2 1.4 2.7 1.9 0.3 0.5 0.5 1.1 1.3 0.4 -// -H RICJ880111 -D Relative preference value at C4 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C MEIH800101 -0.802 CHOP780210 -0.804 BHAR880101 -0.813 - RACS770101 -0.846 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.3 0.8 0.6 0.5 0.7 0.2 0.7 0.5 1.9 1.6 - 1.4 1. 2.8 2.9 0. 0.5 0.6 2.1 0.8 1.4 -// -H RICJ880112 -D Relative preference value at C3 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.7 0.8 0.8 0.6 0.2 1.3 1.6 0.1 1.1 1.4 - 1.9 2.2 1. 1.8 0. 0.6 0.7 0.4 1.1 1.3 -// -H RICJ880113 -D Relative preference value at C2 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.4 2.1 0.9 0.7 1.2 1.6 1.7 0.2 1.8 0.4 - 0.8 1.9 1.3 0.3 0.2 1.6 0.9 0.4 0.3 0.7 -// -H RICJ880114 -D Relative preference value at C1 (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.1 1. 1.2 0.4 1.6 2.1 0.8 0.2 3.4 0.7 - 0.7 2. 1. 0.7 0. 1.7 1. 0. 1.2 0.7 -// -H RICJ880115 -D Relative preference value at C-cap (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C AURR980117 0.921 MAXF760104 0.919 ISOY800108 0.889 - TANS770107 0.807 MAXF760105 0.802 LEVM760103 -0.829 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.8 0.9 1.6 0.7 0.4 0.9 0.3 3.9 1.3 0.7 - 0.7 1.3 0.8 0.5 0.7 0.8 0.3 0. 0.8 0.2 -// -H RICJ880116 -D Relative preference value at C' (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1. 1.4 0.9 1.4 0.8 1.4 0.8 1.2 1.2 1.1 - 0.9 1.2 0.8 0.1 1.9 0.7 0.8 0.4 0.9 0.6 -// -H RICJ880117 -D Relative preference value at C" (Richardson-Richardson, 1988) -R PMID:3381086 -A Richardson, J.S. and Richardson, D.C. -T Amino acid preferences for specific locations at the ends of alpha helices -J Science 240, 1648-1652 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.7 1.1 1.5 1.4 0.4 1.1 0.7 0.6 1. 0.7 - 0.5 1.3 0. 1.2 1.5 0.9 2.1 2.7 0.5 1. -// -H ROBB760101 -D Information measure for alpha-helix (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C CHOP780201 0.969 ISOY800101 0.957 MAXF760101 0.956 - TANS770101 0.948 PALJ810102 0.946 KANM800101 0.945 - PRAM900102 0.916 LEVM780101 0.916 PALJ810101 0.914 - BURA740101 0.912 LEVM780104 0.911 NAGK730101 0.910 - QIAN880106 0.904 GEIM800101 0.897 RACS820108 0.889 - KANM800103 0.886 CRAJ730101 0.875 QIAN880105 0.874 - QIAN880107 0.867 GEIM800104 0.855 AURR980108 0.814 - AURR980109 0.810 ROBB760103 0.807 AURR980112 0.806 - PALJ810109 0.805 MUNV940101 -0.822 MUNV940102 -0.827 - CHAM830101 -0.828 NAGK730103 -0.861 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.5 -0.9 -5.1 0.5 -1.3 1.0 7.8 -8.6 1.2 0.6 - 3.2 2.3 5.3 1.6 -7.7 -3.9 -2.6 1.2 -4.5 1.4 -// -H ROBB760102 -D Information measure for N-terminal helix (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C CHOP780204 0.911 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.3 -5.2 0.3 7.4 0.8 -0.7 10.3 -5.2 -2.8 -4.0 - -2.1 -4.1 -3.5 -1.1 8.1 -3.5 2.3 -0.9 -3.7 -4.4 -// -H ROBB760103 -D Information measure for middle helix (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C QIAN880108 0.914 PTIO830101 0.903 QIAN880107 0.889 - KANM800103 0.887 BLAM930101 0.883 ONEK900101 0.878 - QIAN880109 0.868 AURR980109 0.857 QIAN880106 0.854 - BEGF750101 0.852 RACS820108 0.851 ISOY800101 0.841 - AURR980113 0.838 AURR980108 0.835 RICJ880109 0.831 - QIAN880105 0.811 ROBB760101 0.807 QIAN880110 0.807 - CHOP780201 0.806 FAUJ880113 0.802 AURR980114 0.801 - GEIM800108 -0.802 RACS820114 -0.806 QIAN880133 -0.807 - QIAN880132 -0.827 ISOY800104 -0.830 QIAN880135 -0.834 - PRAM900104 -0.840 CHOP780216 -0.841 LEVM780103 -0.843 - GEIM800111 -0.843 QIAN880134 -0.855 ONEK900102 -0.867 - CHAM830101 -0.878 MUNV940102 -0.913 MUNV940101 -0.918 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.7 0.3 -6.1 -3.1 -4.9 0.6 2.2 -6.8 -1.0 3.2 - 5.5 0.5 7.2 2.8 -22.8 -3.0 -4.0 4.0 -4.6 2.5 -// -H ROBB760104 -D Information measure for C-terminal helix (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C QIAN880108 0.879 BLAM930101 0.878 QIAN880109 0.871 - ONEK900101 0.844 CHOP780205 0.841 BUNA790101 0.823 - PTIO830101 0.817 QIAN880110 0.806 QIAN880134 -0.802 - MUNV940102 -0.803 ISOY800104 -0.817 RACS820110 -0.818 - MUNV940101 -0.831 MUNV940104 -0.840 FINA910102 -0.844 - MUNV940105 -0.859 ONEK900102 -0.861 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.3 1.4 -3.3 -4.4 6.1 2.7 2.5 -8.3 5.9 -0.5 - 0.1 7.3 3.5 1.6 -24.4 -1.9 -3.7 -0.9 -0.6 2.3 -// -H ROBB760105 -D Information measure for extended (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C ROBB760106 0.949 KANM800102 0.898 KANM800104 0.885 - CHOP780202 0.885 PTIO830102 0.878 GEIM800105 0.877 - TANS770103 0.871 PALJ810103 0.869 LIFS790101 0.867 - QIAN880120 0.860 QIAN880119 0.859 BASU050101 0.853 - ISOY800102 0.847 LEVM780105 0.842 BASU050103 0.839 - GEIM800107 0.836 PALJ810104 0.835 QIAN880121 0.834 - PONP930101 0.829 PONP800102 0.828 PONP800101 0.823 - PONP800103 0.823 BURA740102 0.821 PONP800108 0.820 - NAGK730102 0.815 CORJ870101 0.809 MANP780101 0.805 - PALJ810110 0.804 CORJ870104 0.803 RACS820111 0.803 - CORJ870107 0.800 CORJ870108 -0.811 MUNV940103 -0.832 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -2.3 0.4 -4.1 -4.4 4.4 1.2 -5.0 -4.2 -2.5 6.7 - 2.3 -3.3 2.3 2.6 -1.8 -1.7 1.3 -1.0 4.0 6.8 -// -H ROBB760106 -D Information measure for pleated-sheet (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C ROBB760105 0.949 KANM800102 0.938 CHOP780202 0.931 - QIAN880120 0.908 QIAN880121 0.907 LIFS790101 0.906 - GEIM800107 0.899 QIAN880119 0.897 PALJ810104 0.894 - NAGK730102 0.887 PALJ810103 0.886 PTIO830102 0.882 - KANM800104 0.877 LEVM780105 0.869 PONP930101 0.866 - CRAJ730102 0.865 GEIM800105 0.856 BASU050101 0.851 - CHOP780208 0.846 BASU050103 0.840 GEIM800106 0.838 - PALJ810110 0.836 AVBF000101 0.834 CORJ870101 0.829 - PONP800101 0.829 LIFS790103 0.827 MANP780101 0.824 - PONP800102 0.822 CORJ870107 0.819 PONP800103 0.812 - NISK860101 0.810 BEGF750102 0.809 PONP800108 0.808 - CORJ870104 0.808 MIYS990104 -0.815 GEIM800110 -0.819 - CORJ870108 -0.820 MIYS990103 -0.836 MUNV940103 -0.888 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -2.7 0.4 -4.2 -4.4 3.7 0.8 -8.1 -3.9 -3.0 7.7 - 3.7 -2.9 3.7 3.0 -6.6 -2.4 1.7 0.3 3.3 7.1 -// -H ROBB760107 -D Information measure for extended without H-bond (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.0 1.1 -2.0 -2.6 5.4 2.4 3.1 -3.4 0.8 -0.1 - -3.7 -3.1 -2.1 0.7 7.4 1.3 0.0 -3.4 4.8 2.7 -// -H ROBB760108 -D Information measure for turn (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C ROBB760113 0.994 ROBB760110 0.960 BEGF750103 0.922 - CRAJ730103 0.912 CHOP780101 0.887 PALJ810106 0.882 - TANS770110 0.839 CHAM830101 0.812 BEGF750101 -0.819 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -5.0 2.1 4.2 3.1 4.4 0.4 -4.7 5.7 -0.3 -4.6 - -5.6 1.0 -4.8 -1.8 2.6 2.6 0.3 3.4 2.9 -6.0 -// -H ROBB760109 -D Information measure for N-terminal turn (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -3.3 0.0 5.4 3.9 -0.3 -0.4 -1.8 -1.2 3.0 -0.5 - -2.3 -1.2 -4.3 0.8 6.5 1.8 -0.7 -0.8 3.1 -3.5 -// -H ROBB760110 -D Information measure for middle turn (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C ROBB760108 0.960 ROBB760113 0.957 BEGF750103 0.903 - CRAJ730103 0.887 PALJ810106 0.864 CHOP780101 0.863 - TANS770110 0.805 CHAM830101 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -4.7 2.0 3.9 1.9 6.2 -2.0 -4.2 5.7 -2.6 -7.0 - -6.2 2.8 -4.8 -3.7 3.6 2.1 0.6 3.3 3.8 -6.2 -// -H ROBB760111 -D Information measure for C-terminal turn (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C CHOP780215 0.825 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -3.7 1.0 -0.6 -0.6 4.0 3.4 -4.3 5.9 -0.8 -0.5 - -2.8 1.3 -1.6 1.6 -6.0 1.5 1.2 6.5 1.3 -4.6 -// -H ROBB760112 -D Information measure for coil (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C PALJ810115 0.885 CHOP780211 0.841 QIAN880133 0.814 - ISOY800103 0.807 QIAN880132 0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -2.5 -1.2 4.6 0.0 -4.7 -0.5 -4.4 4.9 1.6 -3.3 - -2.0 -0.8 -4.1 -4.1 5.8 2.5 1.7 1.2 -0.6 -3.5 -// -H ROBB760113 -D Information measure for loop (Robson-Suzuki, 1976) -R PMID:1003471 -A Robson, B. and Suzuki, E. -T Conformational properties of amino acid residues in globular proteins -J J. Mol. Biol. 107, 327-356 (1976) -C ROBB760108 0.994 ROBB760110 0.957 BEGF750103 0.924 - CRAJ730103 0.916 CHOP780101 0.907 PALJ810106 0.895 - TANS770110 0.853 CHAM830101 0.841 NAGK730103 0.811 - CHOP780201 -0.811 BEGF750101 -0.826 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -5.1 2.6 4.7 3.1 3.8 0.2 -5.2 5.6 -0.9 -4.5 - -5.4 1.0 -5.3 -2.4 3.5 3.2 0.0 2.9 3.2 -6.3 -// -H ROBB790101 -D Hydration free energy (Robson-Osguthorpe, 1979) -R PMID:513136 -A Robson, B. and Osguthorpe, D.J. -T Refined models for computer simulation of protein folding: Applications to - the study of conserved secondary structure and flexible hinge points during - the folding of pancreatic trypsin inhibitor -J J. Mol. Biol. 132, 19-51 (1979) (Gly 0.67) -C CIDH920105 0.921 NISK860101 0.912 CIDH920104 0.903 - BASU050102 0.897 CIDH920102 0.896 MIYS850101 0.895 - BIOV880101 0.890 CIDH920103 0.884 PLIV810101 0.875 - ZHOH040101 0.872 WERD780101 0.872 ZHOH040103 0.872 - FAUJ830101 0.868 RADA880108 0.867 MEEJ810101 0.861 - PONP930101 0.858 CASG920101 0.850 BASU050103 0.849 - ROSG850102 0.846 CIDH920101 0.846 BASU050101 0.845 - CORJ870102 0.835 SWER830101 0.835 MANP780101 0.834 - CORJ870106 0.834 CORJ870107 0.832 PONP800108 0.831 - NISK800101 0.830 CORJ870105 0.827 PONP800101 0.822 - MEEJ810102 0.821 BIOV880102 0.821 CORJ870101 0.819 - GUOD860101 0.815 ROSM880104 0.807 MEEJ800102 0.807 - PONP800102 0.807 CORJ870104 0.807 CORJ870103 0.804 - LEVM760106 0.804 MEIH800103 0.801 BULH740101 -0.813 - PARS000101 -0.819 CORJ870108 -0.829 WOLS870101 -0.831 - GRAR740102 -0.832 RACS770101 -0.839 MIYS990103 -0.854 - VINM940101 -0.858 FASG890101 -0.860 GUYH850102 -0.862 - FUKS010103 -0.865 VINM940102 -0.866 MEIH800101 -0.868 - MIYS990104 -0.877 MIYS990101 -0.883 MIYS990102 -0.885 - MIYS990105 -0.885 PARJ860101 -0.893 OOBM770103 -0.909 - GUYH850103 -0.999 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -1.0 0.3 -0.7 -1.2 2.1 -0.1 -0.7 0.3 1.1 4.0 - 2.0 -0.9 1.8 2.8 0.4 -1.2 -0.5 3.0 2.1 1.4 -// -H ROSG850101 -D Mean area buried on transfer (Rose et al., 1985) -R PMID:4023714 -A Rose, G.D., Geselowitz, A.R., Lesser, G.J., Lee, R.H. and Zehfus, M.H. -T Hydrophobicity of amino acid residues in globular proteins -J Science 229, 834-838 (1985) -C ZHOH040102 0.930 GRAR740103 0.922 KRIW790103 0.920 - CHAM820101 0.917 TSAJ990101 0.914 BIGC670101 0.910 - GOLD730102 0.909 TSAJ990102 0.909 CHOC750101 0.908 - ZHOH040101 0.904 LEVM760106 0.896 FAUJ880103 0.892 - HARY940101 0.869 CIDH920102 0.866 PONJ960101 0.862 - MCMT640101 0.857 LEVM760107 0.852 CHOC760101 0.842 - FASG760101 0.838 NOZY710101 0.834 CIDH920101 0.831 - RADA880106 0.814 PARS000101 -0.805 KARP850101 -0.807 - VINM940102 -0.810 RADA880103 -0.814 WEBA780101 -0.817 - FUKS010103 -0.819 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 86.6 162.2 103.3 97.8 132.3 119.2 113.9 62.9 155.8 158.0 - 164.1 115.5 172.9 194.1 92.9 85.6 106.5 224.6 177.7 141.0 -// -H ROSG850102 -D Mean fractional area loss (Rose et al., 1985) -R PMID:4023714 -A Rose, G.D., Geselowitz, A.R., Lesser, G.J., Lee, R.H. and Zehfus, M.H. -T Hydrophobicity of amino acid residues in globular proteins -J Science 229, 834-838 (1985) -C BIOV880101 0.981 RADA880108 0.967 NISK860101 0.962 - BIOV880102 0.960 NADH010103 0.958 NADH010104 0.953 - CASG920101 0.952 PONP800102 0.949 MEIH800103 0.948 - NADH010102 0.948 CORJ870101 0.948 PONP800103 0.947 - WERD780101 0.943 NISK800101 0.942 PONP800101 0.938 - MIYS850101 0.937 PONP930101 0.928 PONP800108 0.919 - DESM900102 0.914 JANJ780102 0.909 FAUJ830101 0.904 - MANP780101 0.903 BASU050103 0.903 ZHOH040103 0.903 - CORJ870107 0.898 CIDH920104 0.896 JANJ790102 0.892 - CORJ870103 0.883 CORJ870106 0.878 BASU050102 0.870 - BAEK050101 0.868 DESM900101 0.866 NADH010105 0.865 - CORJ870105 0.864 CORJ870104 0.860 CIDH920105 0.858 - JANJ790101 0.857 JURD980101 0.854 CHOC760103 0.851 - BASU050101 0.849 CIDH920103 0.846 EISD860103 0.846 - ROBB790101 0.846 PLIV810101 0.841 KYTJ820101 0.841 - ROSM880105 0.838 NADH010101 0.833 WARP780101 0.823 - PONP800106 0.807 EISD840101 0.806 PONP800107 0.803 - WOEC730101 -0.804 FUKS010103 -0.808 VINM940104 -0.809 - CHOC760102 -0.819 PARS000101 -0.820 ROSM880102 -0.822 - PARJ860101 -0.823 HOPT810101 -0.825 JANJ780101 -0.836 - GUYH850103 -0.844 KIDA850101 -0.849 VINM940102 -0.849 - KRIW710101 -0.852 PUNT030102 -0.869 FUKS010104 -0.877 - JANJ780103 -0.879 GRAR740102 -0.880 RACS770101 -0.880 - PUNT030101 -0.883 CORJ870108 -0.890 GUYH850104 -0.891 - KARP850102 -0.897 VINM940103 -0.901 RACS770103 -0.901 - OOBM770101 -0.903 MIYS990101 -0.913 MIYS990102 -0.916 - OOBM770103 -0.916 KRIW790102 -0.922 GUYH850102 -0.925 - GUYH850101 -0.929 MEIH800101 -0.930 KRIW790101 -0.935 - RACS770102 -0.940 VINM940101 -0.943 MEIH800102 -0.959 - MIYS990104 -0.962 MIYS990103 -0.966 MIYS990105 -0.968 - FASG890101 -0.976 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.74 0.64 0.63 0.62 0.91 0.62 0.62 0.72 0.78 0.88 - 0.85 0.52 0.85 0.88 0.64 0.66 0.70 0.85 0.76 0.86 -// -H ROSM880101 -D Side chain hydropathy, uncorrected for solvation (Roseman, 1988) -R PMID:3398047 -A Roseman, M.A. -T Hydrophilicity of polar amino acid side-chains is markedly reduced by - flanking peptide bonds -J J. Mol. Biol. 200, 513-522 (1988) -C KUHL950101 0.962 ROSM880102 0.938 KIDA850101 0.933 - PRAM900101 0.917 ENGD860101 0.917 FAUJ880110 0.888 - GRAR740102 0.887 PUNT030101 0.884 VHEG790101 0.883 - LEVM760101 0.876 WOLS870101 0.866 PUNT030102 0.864 - OOBM770101 0.854 GUYH850105 0.849 HOPT810101 0.848 - FAUJ880109 0.846 WOEC730101 0.844 JANJ780101 0.822 - GUYH850104 0.814 JANJ780103 0.810 GUYH850101 0.803 - PARJ860101 0.803 BASU050103 -0.804 OLSK800101 -0.806 - NAKH900110 -0.812 DESM900102 -0.812 WARP780101 -0.816 - CHOC760103 -0.819 BIOV880102 -0.824 JANJ790102 -0.824 - CIDH920104 -0.828 BIOV880101 -0.830 NADH010102 -0.830 - RADA880108 -0.831 PLIV810101 -0.834 JANJ780102 -0.835 - KYTJ820101 -0.845 COWR900101 -0.849 JURD980101 -0.851 - RADA880104 -0.863 NADH010101 -0.866 RADA880107 -0.867 - EISD860103 -0.871 WOLR810101 -0.884 WOLR790101 -0.887 - JACR890101 -0.892 FAUJ830101 -0.907 EISD860101 -0.917 - BLAS910101 -0.940 EISD840101 -0.947 ROSM880105 -0.951 - RADA880101 -0.978 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.67 12.1 7.23 8.72 -0.34 6.39 7.35 0.00 3.82 -3.02 - -3.02 6.13 -1.30 -3.24 -1.75 4.35 3.86 -2.86 0.98 -2.18 -// -H ROSM880102 -D Side chain hydropathy, corrected for solvation (Roseman, 1988) -R PMID:3398047 -A Roseman, M.A. -T Hydrophilicity of polar amino acid side-chains is markedly reduced by - flanking peptide bonds -J J. Mol. Biol. 200, 513-522 (1988) -C ROSM880101 0.938 KUHL950101 0.922 KIDA850101 0.920 - PRAM900101 0.892 ENGD860101 0.891 WOLS870101 0.877 - GUYH850105 0.874 GRAR740102 0.870 OOBM770101 0.867 - PUNT030101 0.861 MEIH800102 0.859 GUYH850104 0.856 - JANJ780101 0.853 PUNT030102 0.851 CHOC760102 0.845 - FASG890101 0.839 JANJ780103 0.838 GUYH850101 0.837 - VHEG790101 0.828 FAUJ880109 0.824 RACS770102 0.824 - LEVM760101 0.823 MIYS990101 0.819 MIYS990102 0.818 - WOEC730101 0.801 PARJ860101 0.801 WARP780101 -0.801 - BASU050103 -0.814 DESM900102 -0.816 ROSG850102 -0.822 - MIYS850101 -0.825 GUOD860101 -0.829 WOLR810101 -0.829 - MEIH800103 -0.829 CIDH920104 -0.831 WOLR790101 -0.836 - JACR890101 -0.837 BIOV880102 -0.837 NADH010104 -0.839 - OLSK800101 -0.847 BIOV880101 -0.854 RADA880104 -0.855 - NADH010103 -0.857 RADA880108 -0.861 PLIV810101 -0.864 - JANJ790102 -0.866 EISD860101 -0.868 CHOC760103 -0.869 - NADH010101 -0.870 JANJ780102 -0.870 ROSM880105 -0.871 - KYTJ820101 -0.878 NADH010102 -0.881 BLAS910101 -0.884 - JURD980101 -0.894 RADA880107 -0.894 COWR900101 -0.897 - RADA880101 -0.917 EISD840101 -0.925 FAUJ830101 -0.927 - EISD860103 -0.943 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.67 3.89 2.27 1.57 -2.00 2.12 1.78 0.00 1.09 -3.02 - -3.02 2.46 -1.67 -3.24 -1.75 0.10 -0.42 -2.86 0.98 -2.18 -// -H ROSM880103 -D Loss of Side chain hydropathy by helix formation (Roseman, 1988) -R PMID:3398047 -A Roseman, M.A. -T Hydrophilicity of polar amino acid side-chains is markedly reduced by - flanking peptide bonds -J J. Mol. Biol. 200, 513-522 (1988) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.4 0.3 0.9 0.8 0.5 0.7 1.3 0.0 1.0 0.4 - 0.6 0.4 0.3 0.7 0.9 0.4 0.4 0.6 1.2 0.4 -// -H SIMZ760101 -D Transfer free energy (Simon, 1976), Cited by Charton-Charton (1982) -R -A Simon, Z. -T -J Quantum Biochemistry and Specific Interactions, Abacus Press, Tunbridge - Wells, Kent, England (1976) Cited by Charton-Charton (1982) -C ARGP820101 0.967 JOND750101 0.966 GOLD730101 0.939 - TAKK010101 0.936 MEEJ800102 0.861 ROSM880104 0.855 - LEVM760106 0.848 CIDH920105 0.837 MEEJ810101 0.836 - CIDH920102 0.832 ZIMJ680101 0.821 BULH740102 0.815 - LAWE840101 0.815 ZHOH040102 0.814 ZIMJ680102 0.810 - ZHOH040101 0.808 MEEJ810102 0.808 NOZY710101 0.807 - VENT840101 0.806 ZIMJ680105 0.805 PLIV810101 0.805 - PARJ860101 -0.825 WOLS870101 -0.830 BULH740101 -0.894 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.73 0.73 -0.01 0.54 0.70 -0.10 0.55 0.00 1.10 2.97 - 2.49 1.50 1.30 2.65 2.60 0.04 0.44 3.00 2.97 1.69 -// -H SNEP660101 -D Principal component I (Sneath, 1966) -R PMID:4291386 -A Sneath, P.H.A. -T Relations between chemical structure and biological activity in peptides -J J. Theor. Biol. 12, 157-195 (1966) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.239 0.211 0.249 0.171 0.220 0.260 0.187 0.160 0.205 0.273 - 0.281 0.228 0.253 0.234 0.165 0.236 0.213 0.183 0.193 0.255 -// -H SNEP660102 -D Principal component II (Sneath, 1966) -R PMID:4291386 -A Sneath, P.H.A. -T Relations between chemical structure and biological activity in peptides -J J. Theor. Biol. 12, 157-195 (1966) -C FAUJ880110 -0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.330 -0.176 -0.233 -0.371 0.074 -0.254 -0.409 0.370 -0.078 0.149 - 0.129 -0.075 -0.092 -0.011 0.370 0.022 0.136 -0.011 -0.138 0.245 -// -H SNEP660103 -D Principal component III (Sneath, 1966) -R PMID:4291386 -A Sneath, P.H.A. -T Relations between chemical structure and biological activity in peptides -J J. Theor. Biol. 12, 157-195 (1966) -C LEVM760107 0.818 CHAM820101 0.808 ZASB820101 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.110 0.079 -0.136 -0.285 -0.184 -0.067 -0.246 -0.073 0.320 0.001 - -0.008 0.049 -0.041 0.438 -0.016 -0.153 -0.208 0.493 0.381 -0.155 -// -H SNEP660104 -D Principal component IV (Sneath, 1966) -R PMID:4291386 -A Sneath, P.H.A. -T Relations between chemical structure and biological activity in peptides -J J. Theor. Biol. 12, 157-195 (1966) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.062 -0.167 0.166 -0.079 0.380 -0.025 -0.184 -0.017 0.056 -0.309 - -0.264 -0.371 0.077 0.074 -0.036 0.470 0.348 0.050 0.220 -0.212 -// -H SUEM840101 -D Zimm-Bragg parameter s at 20 C (Sueki et al., 1984) -R -A Sueki, M., Lee, S., Powers, S.P., Denton, J.B., Konishi, Y. and Scheraga, - H.A. -T Helix-coil stability constants for the naturally occurring amino acids in - water. 22. Histidine parameters from random - poly{(hydroxybutyl)glutamine-co-L-histidine} -J Macromolecules 17, 148-155 (1984) Charged state for Arg, His, Asp, and Glu - (Cys Pro 0.100) -C AURR980113 0.887 FINA770101 0.883 AURR980109 0.882 - PTIO830101 0.877 AURR980114 0.845 KANM800103 0.820 - QIAN880107 0.803 QIAN880131 -0.823 PALJ810106 -0.832 - CHOP780101 -0.845 ISOY800103 -0.850 LEVM780103 -0.864 - TANS770110 -0.864 PRAM900104 -0.865 CHOP780216 -0.874 - GEIM800108 -0.875 LEVM780106 -0.878 QIAN880133 -0.879 - QIAN880132 -0.880 GEIM800111 -0.885 CHAM830101 -0.891 - CHOP780203 -0.892 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.071 1.033 0.784 0.680 0.922 0.977 0.970 0.591 0.850 1.140 - 1.140 0.939 1.200 1.086 0.659 0.760 0.817 1.107 1.020 0.950 -// -H SUEM840102 -D Zimm-Bragg parameter sigma x 1.0E4 (Sueki et al., 1984) -R -A Sueki, M., Lee, S., Powers, S.P., Denton, J.B., Konishi, Y. and Scheraga, - H.A. -T Helix-coil stability constants for the naturally occurring amino acids in - water. 22. Histidine parameters from random - poly{(hydroxybutyl)glutamine-co-L-histidine} -J Macromolecules 17, 148-155 (1984) Charged state for Arg, His, Asp, and Glu - (Cys Pro !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.0 0.1 0.1 70.0 26.0 33.0 6.0 0.1 0.1 55.0 - 33.0 1.0 54.0 18.0 42.0 0.1 0.1 77.0 66.0 0.1 -// -H SWER830101 -D Optimal matching hydrophobicity (Sweet-Eisenberg, 1983) -R PMID:6663622 -A Sweet, R.M. and Eisenberg, D. -T Correlation of sequence hydrophobicities measures similarity in - three-dimensional protein structure -J J. Mol. Biol. 171, 479-488 (1983) -C CORJ870102 1.000 BASU050101 0.922 BASU050103 0.892 - CIDH920105 0.890 MIYS850101 0.889 BLAS910101 0.887 - CORJ870104 0.883 CORJ870107 0.883 BASU050102 0.880 - PLIV810101 0.875 CIDH920102 0.870 CIDH920103 0.865 - NISK860101 0.865 ZHOH040103 0.863 CIDH920104 0.862 - CORJ870103 0.862 ZHOH040101 0.860 PTIO830102 0.856 - GUOD860101 0.853 CIDH920101 0.853 CORJ870105 0.848 - CORJ870106 0.845 ROSM880104 0.844 ROSM880105 0.843 - BIOV880101 0.839 VENT840101 0.836 NOZY710101 0.836 - ROBB790101 0.835 PONP930101 0.835 FAUJ830101 0.833 - ZIMJ680105 0.829 RADA880108 0.826 QIAN880120 0.825 - EISD860101 0.824 CHOP780202 0.823 MANP780101 0.821 - RADA880102 0.820 LIFS790101 0.815 PALJ810104 0.809 - MEEJ810101 0.806 WERD780101 0.804 MUNV940103 -0.802 - RACS770101 -0.803 VINM940102 -0.811 VINM940101 -0.817 - MEIH800101 -0.830 WOEC730101 -0.832 OOBM770103 -0.833 - PUNT030101 -0.838 GUYH850103 -0.839 PARS000101 -0.846 - MIYS990103 -0.878 MIYS990105 -0.883 CORJ870108 -0.884 - MIYS990104 -0.887 WOLS870101 -0.887 PARJ860101 -0.893 - GRAR740102 -0.896 MIYS990102 -0.921 BULH740101 -0.923 - MIYS990101 -0.923 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.40 -0.59 -0.92 -1.31 0.17 -0.91 -1.22 -0.67 -0.64 1.25 - 1.22 -0.67 1.02 1.92 -0.49 -0.55 -0.28 0.50 1.67 0.91 -// -H TANS770101 -D Normalized frequency of alpha-helix (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C ROBB760101 0.948 CHOP780201 0.947 MAXF760101 0.930 - KANM800101 0.927 NAGK730101 0.925 PALJ810102 0.923 - GEIM800101 0.918 PALJ810101 0.918 BURA740101 0.917 - LEVM780104 0.908 ISOY800101 0.906 PRAM900102 0.854 - LEVM780101 0.854 RACS820108 0.845 KANM800103 0.843 - CRAJ730101 0.843 GEIM800104 0.841 AURR980115 0.834 - QIAN880106 0.819 AURR980111 0.817 QIAN880107 0.804 - AURR980114 0.800 NAGK730103 -0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.42 1.06 0.71 1.01 0.73 1.02 1.63 0.50 1.20 1.12 - 1.29 1.24 1.21 1.16 0.65 0.71 0.78 1.05 0.67 0.99 -// -H TANS770102 -D Normalized frequency of isolated helix (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.946 1.128 0.432 1.311 0.481 1.615 0.698 0.360 2.168 1.283 - 1.192 1.203 0.000 0.963 2.093 0.523 1.961 1.925 0.802 0.409 -// -H TANS770103 -D Normalized frequency of extended structure (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C ISOY800102 0.929 MAXF760102 0.891 ROBB760105 0.871 - GEIM800105 0.850 RACS820111 0.841 PALJ810103 0.824 - WOEC730101 -0.806 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.790 1.087 0.832 0.530 1.268 1.038 0.643 0.725 0.864 1.361 - 1.111 0.735 1.092 1.052 1.249 1.093 1.214 1.114 1.340 1.428 -// -H TANS770104 -D Normalized frequency of chain reversal R (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C CHOP780213 0.954 ISOY800104 0.918 FINA910102 0.876 - MUNV940104 0.870 MUNV940105 0.846 QIAN880134 0.837 - ONEK900102 0.826 FODM020101 -0.802 BLAM930101 -0.837 - BUNA790101 -0.867 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.194 0.795 0.659 1.056 0.678 1.290 0.928 1.015 0.611 0.603 - 0.595 1.060 0.831 0.377 3.159 1.444 1.172 0.452 0.816 0.640 -// -H TANS770105 -D Normalized frequency of chain reversal S (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C CHOP780214 0.862 ISOY800105 0.836 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.497 0.677 2.072 1.498 1.348 0.711 0.651 1.848 1.474 0.471 - 0.656 0.932 0.425 1.348 0.179 1.151 0.749 1.283 1.283 0.654 -// -H TANS770106 -D Normalized frequency of chain reversal D (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.937 1.725 1.080 1.640 1.004 1.078 0.679 0.901 1.085 0.178 - 0.808 1.254 0.886 0.803 0.748 1.145 1.487 0.803 1.227 0.625 -// -H TANS770107 -D Normalized frequency of left-handed helix (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C MAXF760104 0.913 ISOY800108 0.827 RICJ880115 0.807 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.289 1.380 3.169 0.917 1.767 2.372 0.285 4.259 1.061 0.262 - 0.000 1.288 0.000 0.393 0.000 0.160 0.218 0.000 0.654 0.167 -// -H TANS770108 -D Normalized frequency of zeta R (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.328 2.088 1.498 3.379 0.000 0.000 0.000 0.500 1.204 2.078 - 0.414 0.835 0.982 1.336 0.415 1.089 1.732 1.781 0.000 0.946 -// -H TANS770109 -D Normalized frequency of coil (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C MAXF760105 0.878 MAXF760104 0.821 ISOY800108 0.816 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.945 0.364 1.202 1.315 0.932 0.704 1.014 2.355 0.525 0.673 - 0.758 0.947 1.028 0.622 0.579 1.140 0.863 0.777 0.907 0.561 -// -H TANS770110 -D Normalized frequency of chain reversal (Tanaka-Scheraga, 1977) -R PMID:557155 -A Tanaka, S. and Scheraga, H.A. -T Statistical mechanical treatment of protein conformation. 5. A multiphasic - model for specific-sequence copolymers of amino acids -J Macromolecules 10, 9-20 (1977) Recalculated by Kidera as normalized - frequencies -C CHOP780101 0.956 CHOP780203 0.940 CHOP780216 0.930 - PALJ810106 0.925 QIAN880133 0.920 CHAM830101 0.917 - QIAN880132 0.903 ISOY800103 0.897 LEVM780106 0.892 - GEIM800108 0.886 GEIM800111 0.883 LEVM780103 0.875 - PRAM900104 0.873 QIAN880131 0.873 PALJ810105 0.860 - CRAJ730103 0.859 CHOP780210 0.858 ROBB760113 0.853 - ROBB760108 0.839 BEGF750103 0.834 ROBB760110 0.805 - AURR980109 -0.816 SUEM840101 -0.864 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.842 0.936 1.352 1.366 1.032 0.998 0.758 1.349 1.079 0.459 - 0.665 1.045 0.668 0.881 1.385 1.257 1.055 0.881 1.101 0.643 -// -H VASM830101 -D Relative population of conformational state A (Vasquez et al., 1983) -R -A Vasquez, M., Nemethy, G. and Scheraga, H.A. -T Computed conformational states of the 20 naturally occurring amino acid - residues and of the prototype residue alpha-aminobutyric acid -J Macromolecules 16, 1043-1049 (1983) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.135 0.296 0.196 0.289 0.159 0.236 0.184 0.051 0.223 0.173 - 0.215 0.170 0.239 0.087 0.151 0.010 0.100 0.166 0.066 0.285 -// -H VASM830102 -D Relative population of conformational state C (Vasquez et al., 1983) -R -A Vasquez, M., Nemethy, G. and Scheraga, H.A. -T Computed conformational states of the 20 naturally occurring amino acid - residues and of the prototype residue alpha-aminobutyric acid -J Macromolecules 16, 1043-1049 (1983) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.507 0.459 0.287 0.223 0.592 0.383 0.445 0.390 0.310 0.111 - 0.619 0.559 0.431 0.077 0.739 0.689 0.785 0.160 0.060 0.356 -// -H VASM830103 -D Relative population of conformational state E (Vasquez et al., 1983) -R -A Vasquez, M., Nemethy, G. and Scheraga, H.A. -T Computed conformational states of the 20 naturally occurring amino acid - residues and of the prototype residue alpha-aminobutyric acid -J Macromolecules 16, 1043-1049 (1983) (Pro !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.159 0.194 0.385 0.283 0.187 0.236 0.206 0.049 0.233 0.581 - 0.083 0.159 0.198 0.682 0.366 0.150 0.074 0.463 0.737 0.301 -// -H VELV850101 -D Electron-ion interaction potential (Veljkovic et al., 1985) -R -A Veljkovic, V., Cosic, I., Dimitrijevic, B. and Lalovic, D. -T Is it possible to analyze DNA and protein sequences by the method of digital - signal processing? -J IEEE Trans. Biomed. Eng. 32, 337-341 (1985) -C COSI940101 1.000 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - .03731 .09593 .00359 .12630 .08292 .07606 .00580 .00499 .02415 .00000 - .00000 .03710 .08226 .09460 .01979 .08292 .09408 .05481 .05159 .00569 -// -H VENT840101 -D Bitterness (Venanzi, 1984) -R PMID:6521488 -A Venanzi, T.J. -T Hydrophobicity parameters and the bitter taste of L-amino acids -J J. Theor. Biol. 111, 447-450 (1984) -C NOZY710101 0.897 BASU050101 0.858 ZHOH040101 0.858 - BASU050102 0.851 GUOD860101 0.848 PTIO830102 0.842 - WILM950101 0.840 CORJ870102 0.837 SWER830101 0.836 - ZHOH040102 0.831 MEEJ810102 0.831 PALJ810104 0.831 - ROSM880104 0.829 RADA880102 0.826 CHOP780209 0.817 - BASU050103 0.814 LIFS790101 0.814 MEEJ810101 0.813 - CIDH920105 0.813 TAKK010101 0.812 ZHOH040103 0.807 - SIMZ760101 0.806 PONP800107 0.805 CHOP780202 0.805 - GOLD730101 0.802 MIYS990102 -0.820 MIYS990101 -0.821 - WOLS870101 -0.835 PARJ860101 -0.846 BULH740101 -0.907 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. - 1. 0. 0. 1. 0. 0. 0. 1. 1. 1. -// -H VHEG790101 -D Transfer free energy to lipophilic phase (von Heijne-Blomberg, 1979) -R PMID:477664 -A von Heijne, G. and Blomberg, C. -T Trans-membrane translocation of proteins: The direct transfer model -J Eur. J. Biochem. 97, 175-181 (1979) -C ENGD860101 0.909 PRAM900101 0.909 ROSM880101 0.883 - PUNT030101 0.876 PUNT030102 0.873 KUHL950101 0.858 - HOPT810101 0.849 GUYH850105 0.845 ROSM880102 0.828 - LEVM760101 0.825 JURD980101 -0.814 RADA880102 -0.818 - NADH010101 -0.827 WOLR790101 -0.844 BLAS910101 -0.847 - NAKH900110 -0.848 EISD860101 -0.862 WOLR810101 -0.867 - ROSM880105 -0.901 JACR890101 -0.903 EISD840101 -0.924 - RADA880101 -0.925 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -12.04 39.23 4.25 23.22 3.95 2.16 16.81 -7.85 6.28 -18.32 - -17.79 9.71 -8.86 -21.98 5.82 -1.54 -4.15 -16.19 -1.51 -16.22 -// -H WARP780101 -D Average interactions per side chain atom (Warme-Morgan, 1978) -R PMID:633361 -A Warme, P.K. and Morgan, R.S. -T A survey of amino acid side-chain interactions in 21 proteins -J J. Mol. Biol. 118, 289-304 (1978) (Gly 0.81) -C DESM900102 0.882 JANJ780102 0.878 JANJ790102 0.877 - NADH010102 0.870 DESM900101 0.864 BIOV880102 0.853 - KYTJ820101 0.845 MEIH800103 0.835 JURD980101 0.827 - CHOC760103 0.824 ROSG850102 0.823 EISD860103 0.820 - OLSK800101 0.818 CHOC760104 0.815 NADH010103 0.811 - CORJ870101 0.800 ROSM880102 -0.801 KUHL950101 -0.811 - PUNT030101 -0.814 ROSM880101 -0.816 MEIH800102 -0.826 - PRAM900101 -0.827 ENGD860101 -0.827 RACS770103 -0.848 - CHOC760102 -0.849 JANJ780101 -0.869 GUYH850104 -0.882 - JANJ780103 -0.890 OOBM770101 -0.937 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 10.04 6.18 5.63 5.76 8.89 5.41 5.37 7.99 7.49 8.72 - 8.79 4.40 9.15 7.98 7.79 7.08 7.00 8.07 6.90 8.88 -// -H WEBA780101 -D RF value in high salt chromatography (Weber-Lacey, 1978) -R PMID:691071 -A Weber, A.L. and Lacey, J.C.,Jr. -T Genetic code correlations: Amino acids and their anticodon nucleotides -J J. Mol. Evol. 11, 199-210 (1978) -C ZHOH040102 -0.807 MEEJ800102 -0.808 ROSG850101 -0.817 - MEEJ810101 -0.831 MEEJ810102 -0.854 ZHOH040101 -0.865 - NOZY710101 -0.890 LEVM760107 -0.923 GARJ730101 -0.924 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.89 0.88 0.89 0.87 0.85 0.82 0.84 0.92 0.83 0.76 - 0.73 0.97 0.74 0.52 0.82 0.96 0.92 0.20 0.49 0.85 -// -H WERD780101 -D Propensity to be buried inside (Wertz-Scheraga, 1978) -R PMID:621952 -A Wertz, D.H. and Scheraga, H.A. -T Influence of water on protein structure. An analysis of the preferences of - amino acid residues for the inside or outside and for specific conformations - in a protein molecule -J Macromolecules 11, 9-15 (1978) Adjusted values -C NISK860101 0.966 BIOV880101 0.951 ROSG850102 0.943 - MIYS850101 0.934 RADA880108 0.930 BIOV880102 0.929 - CASG920101 0.927 ZHOH040103 0.923 BASU050102 0.920 - CIDH920105 0.905 CIDH920104 0.896 PONP930101 0.895 - MEIH800103 0.895 BAEK050101 0.895 NISK800101 0.891 - NADH010104 0.890 CORJ870107 0.887 PONP800102 0.883 - CORJ870103 0.882 CIDH920103 0.881 NADH010103 0.880 - PONP800101 0.880 CIDH920101 0.878 CORJ870106 0.878 - PONP800103 0.876 CORJ870101 0.873 ROBB790101 0.872 - CIDH920102 0.871 FAUJ830101 0.862 ZHOH040101 0.859 - CORJ870105 0.858 BASU050103 0.857 MANP780101 0.853 - CORJ870104 0.850 PONP800108 0.843 BASU050101 0.843 - PLIV810101 0.841 NADH010102 0.841 NADH010105 0.837 - MEEJ810101 0.825 DESM900102 0.814 CORJ870102 0.804 - SWER830101 0.804 FUKS010102 -0.801 BHAR880101 -0.803 - KRIW710101 -0.819 PUNT030101 -0.821 GRAR740102 -0.826 - FUKS010104 -0.832 KARP850101 -0.842 RACS770103 -0.846 - PARS000101 -0.853 PARJ860101 -0.869 FUKS010103 -0.869 - GUYH850101 -0.871 KRIW790102 -0.875 GUYH850103 -0.876 - CORJ870108 -0.878 VINM940102 -0.886 KRIW790101 -0.899 - MEIH800102 -0.903 RACS770102 -0.906 OOBM770103 -0.906 - KARP850102 -0.909 MIYS990101 -0.912 RACS770101 -0.912 - MIYS990102 -0.914 FASG890101 -0.926 VINM940103 -0.926 - VINM940101 -0.931 MIYS990105 -0.936 MIYS990103 -0.938 - MEIH800101 -0.943 MIYS990104 -0.949 GUYH850102 -0.976 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.52 0.49 0.42 0.37 0.83 0.35 0.38 0.41 0.70 0.79 - 0.77 0.31 0.76 0.87 0.35 0.49 0.38 0.86 0.64 0.72 -// -H WERD780102 -D Free energy change of epsilon(i) to epsilon(ex) (Wertz-Scheraga, 1978) -R PMID:621952 -A Wertz, D.H. and Scheraga, H.A. -T Influence of water on protein structure. An analysis of the preferences of - amino acid residues for the inside or outside and for specific conformations - in a protein molecule -J Macromolecules 11, 9-15 (1978) Adjusted values -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.16 -0.20 1.03 -0.24 -0.12 -0.55 -0.45 -0.16 -0.18 -0.19 - -0.44 -0.12 -0.79 -0.25 -0.59 -0.01 0.05 -0.33 -0.42 -0.46 -// -H WERD780103 -D Free energy change of alpha(Ri) to alpha(Rh) (Wertz-Scheraga, 1978) -R PMID:621952 -A Wertz, D.H. and Scheraga, H.A. -T Influence of water on protein structure. An analysis of the preferences of - amino acid residues for the inside or outside and for specific conformations - in a protein molecule -J Macromolecules 11, 9-15 (1978) Adjusted values (Met !) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.15 -0.37 0.69 -0.22 -0.19 -0.06 0.14 0.36 -0.25 0.02 - 0.06 -0.16 0.11 1.18 0.11 0.13 0.28 -0.12 0.19 -0.08 -// -H WERD780104 -D Free energy change of epsilon(i) to alpha(Rh) (Wertz-Scheraga, 1978) -R PMID:621952 -A Wertz, D.H. and Scheraga, H.A. -T Influence of water on protein structure. An analysis of the preferences of - amino acid residues for the inside or outside and for specific conformations - in a protein molecule -J Macromolecules 11, 9-15 (1978) Adjusted values -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.07 -0.40 -0.57 -0.80 0.17 -0.26 -0.63 0.27 -0.49 0.06 - -0.17 -0.45 0.03 0.40 -0.47 -0.11 0.09 -0.61 -0.61 -0.11 -// -H WOEC730101 -D Polar requirement (Woese, 1973) -R PMID:4588588 -A Woese, C.R. -T Evolution of genetic code -J Naturwiss. 60, 447-459 (1973) -C GRAR740102 0.960 PUNT030102 0.894 HOPT810101 0.886 - HOPA770101 0.876 LEVM760101 0.872 ENGD860101 0.871 - PRAM900101 0.871 MIYS990105 0.849 ROSM880101 0.844 - WOLS870101 0.841 KUHL950101 0.837 OOBM770103 0.835 - VINM940101 0.834 MIYS990104 0.827 PUNT030101 0.825 - MIYS990103 0.824 PARJ860101 0.821 FUKS010102 0.820 - FAUJ880110 0.812 KIDA850101 0.807 MIYS990102 0.805 - MIYS990101 0.805 OOBM770101 0.804 ROSM880102 0.801 - NADH010102 -0.800 CIDH920105 -0.800 MEIH800103 -0.802 - ISOY800102 -0.803 EISD860103 -0.803 ROSG850102 -0.804 - TANS770103 -0.806 BASU050101 -0.811 RADA880101 -0.812 - BIOV880102 -0.819 WIMW960101 -0.821 NISK860101 -0.822 - PONP800103 -0.823 CIDH920104 -0.823 RADA880108 -0.825 - CORJ870102 -0.828 BIOV880101 -0.829 PONP800108 -0.831 - SWER830101 -0.832 BASU050103 -0.836 EISD860101 -0.838 - CORJ870101 -0.841 MAXF760102 -0.842 DESM900102 -0.847 - FAUJ830101 -0.880 ROSM880105 -0.902 BLAS910101 -0.902 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.0 9.1 10.0 13.0 5.5 8.6 12.5 7.9 8.4 4.9 - 4.9 10.1 5.3 5.0 6.6 7.5 6.6 5.3 5.7 5.6 -// -H WOLR810101 -D Hydration potential (Wolfenden et al., 1981) -R PMID:7213619 -A Wolfenden, R. andersson, L., Cullis, P.M. and Southgate, C.C.B. -T Affinties of amino acid side chains for solvent water -J Biochemistry 20, 849-855 (1981) (Pro 2.9) -C WOLR790101 0.996 RADA880101 0.939 EISD840101 0.914 - RADA880104 0.910 JACR890101 0.908 RADA880107 0.890 - KYTJ820101 0.885 JURD980101 0.881 RADA880105 0.875 - CHOC760103 0.873 OLSK800101 0.869 CHOC760104 0.868 - JANJ780102 0.851 NADH010101 0.848 JANJ790102 0.828 - JANJ780103 -0.822 GUYH850104 -0.826 ROSM880102 -0.829 - CHOC760102 -0.840 OOBM770101 -0.847 JANJ780101 -0.864 - VHEG790101 -0.867 ROSM880101 -0.884 ENGD860101 -0.887 - PRAM900101 -0.887 KUHL950101 -0.898 FAUJ880109 -0.904 - GUYH850105 -0.916 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.94 -19.92 -9.68 -10.95 -1.24 -9.38 -10.20 2.39 -10.27 2.15 - 2.28 -9.52 -1.48 -0.76 -3.68 -5.06 -4.88 -5.88 -6.11 1.99 -// -H WOLS870101 -D Principal property value z1 (Wold et al., 1987) -R -A Wold, S., Eriksson, L., Hellberg, S., Jonsson, J., Sjostrom, M., Skagerberg, - B. and Wikstrom, C. -T Principal property values for six non-natural amino acids and their - application to a structure-activity relationship for oxytocin peptide - analogues -J Can. J. Chem. 65, 1814-1820 (1987) -C PARJ860101 0.964 BULH740101 0.929 MIYS990101 0.912 - MIYS990102 0.910 GRAR740102 0.910 ROSM880102 0.877 - PUNT030102 0.868 ROSM880101 0.866 PUNT030101 0.853 - MEIH800101 0.852 OOBM770103 0.852 KIDA850101 0.852 - LEVM760101 0.845 WOEC730101 0.841 MIYS990105 0.838 - GUYH850103 0.836 HOPT810101 0.830 MIYS990104 0.830 - MIYS990103 0.815 MEIH800102 0.813 RACS770102 0.802 - MANP780101 -0.809 EISD840101 -0.820 RADA880101 -0.823 - MEEJ800101 -0.823 SIMZ760101 -0.830 ROBB790101 -0.831 - NAKH900110 -0.832 VENT840101 -0.835 JOND750101 -0.837 - ARGP820101 -0.838 RADA880108 -0.840 EISD860103 -0.841 - BIOV880102 -0.842 NISK860101 -0.848 BASU050102 -0.849 - WILM950101 -0.851 PONP800107 -0.852 BIOV880101 -0.854 - GOLD730101 -0.854 ZHOH040101 -0.858 TAKK010101 -0.858 - BASU050103 -0.866 BASU050101 -0.869 CIDH920102 -0.869 - ZHOH040103 -0.870 ROSM880104 -0.870 BROC820101 -0.871 - RADA880102 -0.873 NOZY710101 -0.874 CIDH920103 -0.879 - COWR900101 -0.883 CORJ870102 -0.885 SWER830101 -0.887 - CIDH920104 -0.891 CIDH920105 -0.899 ROSM880105 -0.899 - MIYS850101 -0.899 MEEJ810102 -0.905 MEEJ810101 -0.906 - EISD860101 -0.918 MEEJ800102 -0.925 FAUJ830101 -0.928 - BLAS910101 -0.930 ZIMJ680105 -0.937 GUOD860101 -0.955 - PLIV810101 -0.963 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.07 2.88 3.22 3.64 0.71 2.18 3.08 2.23 2.41 -4.44 - -4.19 2.84 -2.49 -4.92 -1.22 1.96 0.92 -4.75 -1.39 -2.69 -// -H WOLS870102 -D Principal property value z2 (Wold et al., 1987) -R -A Wold, S., Eriksson, L., Hellberg, S., Jonsson, J., Sjostrom, M., Skagerberg, - B. and Wikstrom, C. -T Principal property values for six non-natural amino acids and their - application to a structure-activity relationship for oxytocin peptide - analogues -J Can. J. Chem. 65, 1814-1820 (1987) -C LEVM760102 0.881 FASG760101 0.866 FAUJ880106 0.866 - CHOC760101 0.845 LEVM760105 0.836 FAUJ880103 0.814 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -1.73 2.52 1.45 1.13 -0.97 0.53 0.39 -5.36 1.74 -1.68 - -1.03 1.41 -0.27 1.30 0.88 -1.63 -2.09 3.65 2.32 -2.53 -// -H WOLS870103 -D Principal property value z3 (Wold et al., 1987) -R -A Wold, S., Eriksson, L., Hellberg, S., Jonsson, J., Sjostrom, M., Skagerberg, - B. and Wikstrom, C. -T Principal property values for six non-natural amino acids and their - application to a structure-activity relationship for oxytocin peptide - analogues -J Can. J. Chem. 65, 1814-1820 (1987) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.09 -3.44 0.84 2.36 4.13 -1.14 -0.07 0.30 1.11 -1.03 - -0.98 -3.14 -0.41 0.45 2.23 0.57 -1.40 0.85 0.01 -1.29 -// -H YUTK870101 -D Unfolding Gibbs energy in water, pH7.0 (Yutani et al., 1987) -R PMID:3299367 -A Yutani, K., Ogasahara, K., Tsujita, T. and Sugino, Y. -T Dependence of conformational stability on hydrophobicity of the amino acid - residue in a series of variant proteins substituted at a unique position of - tryptophan synthase alpha subunit -J Proc. Natl. Acad. Sci. USA 84, 4441-4444 (1987) (Arg missing) -C YUTK870102 0.827 EISD840101 0.809 RADA880101 0.803 - GUYH850101 -0.813 GUYH850105 -0.841 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.5 0. 8.2 8.5 11.0 6.3 8.8 7.1 10.1 16.8 - 15.0 7.9 13.3 11.2 8.2 7.4 8.8 9.9 8.8 12.0 -// -H YUTK870102 -D Unfolding Gibbs energy in water, pH9.0 (Yutani et al., 1987) -R PMID:3299367 -A Yutani, K., Ogasahara, K., Tsujita, T. and Sugino, Y. -T Dependence of conformational stability on hydrophobicity of the amino acid - residue in a series of variant proteins substituted at a unique position of - tryptophan synthase alpha subunit -J Proc. Natl. Acad. Sci. USA 84, 4441-4444 (1987) (Arg missing) -C YUTK870101 0.827 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.8 0. 6.2 7.0 8.3 8.5 4.9 6.4 9.2 10.0 - 12.2 7.5 8.4 8.3 6.9 8.0 7.0 5.7 6.8 9.4 -// -H YUTK870103 -D Activation Gibbs energy of unfolding, pH7.0 (Yutani et al., 1987) -R PMID:3299367 -A Yutani, K., Ogasahara, K., Tsujita, T. and Sugino, Y. -T Dependence of conformational stability on hydrophobicity of the amino acid - residue in a series of variant proteins substituted at a unique position of - tryptophan synthase alpha subunit -J Proc. Natl. Acad. Sci. USA 84, 4441-4444 (1987) (Arg missing) -C YUTK870104 0.997 EISD860102 -0.839 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 18.08 0. 17.47 17.36 18.17 17.93 18.16 18.24 18.49 18.62 - 18.60 17.96 18.11 17.30 18.16 17.57 17.54 17.19 17.99 18.30 -// -H YUTK870104 -D Activation Gibbs energy of unfolding, pH9.0 (Yutani et al., 1987) -R PMID:3299367 -A Yutani, K., Ogasahara, K., Tsujita, T. and Sugino, Y. -T Dependence of conformational stability on hydrophobicity of the amino acid - residue in a series of variant proteins substituted at a unique position of - tryptophan synthase alpha subunit -J Proc. Natl. Acad. Sci. USA 84, 4441-4444 (1987) (Arg missing) -C YUTK870103 0.997 EISD860102 -0.840 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 18.56 0. 18.24 17.94 17.84 18.51 17.97 18.57 18.64 19.21 - 19.01 18.36 18.49 17.95 18.77 18.06 17.71 16.87 18.23 18.98 -// -H ZASB820101 -D Dependence of partition coefficient on ionic strength (Zaslavsky et al., - 1982) -R -A Zaslavsky, B.Yu, Mestechkina, N.M., Miheeva, L.M. and Rogozhin, S.V. -T Measurement of relative hydrophobicity of amino acid side-chains by partition - in an aqueous two-phase polymeric system: Hydrophobicity scale for non-polar - and ionogenic side-chains -J J. Chromatogr. 240, 21-28 (1982) (C H Y missing?) -C WIMW960101 0.885 CIDH920102 0.809 SNEP660103 0.804 - OOBM850102 -0.853 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.152 -0.089 -0.203 -0.355 0. -0.181 -0.411 -0.190 0. -0.086 - -0.102 -0.062 -0.107 0.001 -0.181 -0.203 -0.170 0.275 0. -0.125 -// -H ZIMJ680101 -D Hydrophobicity (Zimmerman et al., 1968) -R PMID:5700434 -A Zimmerman, J.M., Eliezer, N. and Simha, R. -T The characterization of amino acid sequences in proteins by statistical - methods -J J. Theor. Biol. 21, 170-201 (1968) -C SIMZ760101 0.821 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.83 0.83 0.09 0.64 1.48 0.00 0.65 0.10 1.10 3.07 - 2.52 1.60 1.40 2.75 2.70 0.14 0.54 0.31 2.97 1.79 -// -H ZIMJ680102 -D Bulkiness (Zimmerman et al., 1968) -R PMID:5700434 -A Zimmerman, J.M., Eliezer, N. and Simha, R. -T The characterization of amino acid sequences in proteins by statistical - methods -J J. Theor. Biol. 21, 170-201 (1968) -C FAUJ880101 0.888 ZHOH040102 0.878 LEVM760106 0.873 - TAKK010101 0.840 BULH740102 0.825 GOLD730101 0.818 - SIMZ760101 0.810 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 11.50 14.28 12.82 11.68 13.46 14.45 13.57 3.40 13.69 21.40 - 21.40 15.71 16.25 19.80 17.43 9.47 15.77 21.67 18.03 21.57 -// -H ZIMJ680103 -D Polarity (Zimmerman et al., 1968) -R PMID:5700434 -A Zimmerman, J.M., Eliezer, N. and Simha, R. -T The characterization of amino acid sequences in proteins by statistical - methods -J J. Theor. Biol. 21, 170-201 (1968) -C PRAM900101 0.854 ENGD860101 0.854 HOPA770101 0.815 - JACR890101 -0.835 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.00 52.00 3.38 49.70 1.48 3.53 49.90 0.00 51.60 0.13 - 0.13 49.50 1.43 0.35 1.58 1.67 1.66 2.10 1.61 0.13 -// -H ZIMJ680104 -D Isoelectric point (Zimmerman et al., 1968) -R PMID:5700434 -A Zimmerman, J.M., Eliezer, N. and Simha, R. -T The characterization of amino acid sequences in proteins by statistical - methods -J J. Theor. Biol. 21, 170-201 (1968) -C KLEP840101 0.941 FAUJ880111 0.813 FINA910103 0.805 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.00 10.76 5.41 2.77 5.05 5.65 3.22 5.97 7.59 6.02 - 5.98 9.74 5.74 5.48 6.30 5.68 5.66 5.89 5.66 5.96 -// -H ZIMJ680105 -D RF rank (Zimmerman et al., 1968) -R PMID:5700434 -A Zimmerman, J.M., Eliezer, N. and Simha, R. -T The characterization of amino acid sequences in proteins by statistical - methods -J J. Theor. Biol. 21, 170-201 (1968) -C MEEJ800102 0.921 EISD860101 0.900 BROC820101 0.896 - PLIV810101 0.875 BROC820102 0.865 ROSM880105 0.857 - TAKK010101 0.856 BLAS910101 0.855 RADA880102 0.851 - GUOD860101 0.850 MEEJ800101 0.842 NOZY710101 0.837 - SWER830101 0.829 CORJ870102 0.828 GOLD730101 0.820 - FAUJ830101 0.816 LAWE840101 0.809 SIMZ760101 0.805 - MIYS990101 -0.801 HOPT810101 -0.816 LEVM760101 -0.844 - BULH740101 -0.879 PARJ860101 -0.886 WOLS870101 -0.937 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.9 4.6 5.4 2.8 2.8 9.0 3.2 5.6 8.2 17.1 - 17.6 3.5 14.9 18.8 14.8 6.9 9.5 17.1 15.0 14.3 -// -H AURR980101 -D Normalized positional residue frequency at helix termini N4'(Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.94 1.15 0.79 1.19 0.60 0.94 1.41 1.18 1.15 1.07 - 0.95 1.03 0.88 1.06 1.18 0.69 0.87 0.91 1.04 0.90 -// -H AURR980102 -D Normalized positional residue frequency at helix termini N"' (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.98 1.14 1.05 1.05 0.41 0.90 1.04 1.25 1.01 0.88 - 0.80 1.06 1.12 1.12 1.31 1.02 0.80 0.90 1.12 0.87 -// -H AURR980103 -D Normalized positional residue frequency at helix termini N" (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.05 0.81 0.91 1.39 0.60 0.87 1.11 1.26 1.43 0.95 - 0.96 0.97 0.99 0.95 1.05 0.96 1.03 1.06 0.94 0.62 -// -H AURR980104 -D Normalized positional residue frequency at helix termini N'(Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980105 0.839 FINA910101 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.75 0.90 1.24 1.72 0.66 1.08 1.10 1.14 0.96 0.80 - 1.01 0.66 1.02 0.88 1.33 1.20 1.13 0.68 0.80 0.58 -// -H AURR980105 -D Normalized positional residue frequency at helix termini Nc (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980104 0.839 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.67 0.76 1.28 1.58 0.37 1.05 0.94 0.98 0.83 0.78 - 0.79 0.84 0.98 0.96 1.12 1.25 1.41 0.94 0.82 0.67 -// -H AURR980106 -D Normalized positional residue frequency at helix termini N1 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.10 1.05 0.72 1.14 0.26 1.31 2.30 0.55 0.83 1.06 - 0.84 1.08 0.90 0.90 1.67 0.81 0.77 1.26 0.99 0.76 -// -H AURR980107 -D Normalized positional residue frequency at helix termini N2 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C RICJ880106 0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.39 0.95 0.67 1.64 0.52 1.60 2.07 0.65 1.36 0.64 - 0.91 0.80 1.10 1.00 0.94 0.69 0.92 1.10 0.73 0.70 -// -H AURR980108 -D Normalized positional residue frequency at helix termini N3 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980112 0.910 PALJ810102 0.871 CHOP780201 0.867 - KANM800103 0.857 ISOY800101 0.856 AURR980109 0.848 - MAXF760101 0.841 QIAN880106 0.838 ROBB760103 0.835 - AURR980113 0.821 QIAN880104 0.815 ROBB760101 0.814 - BEGF750101 0.810 BURA740101 0.808 QIAN880107 0.803 - MUNV940102 -0.803 MUNV940101 -0.814 CHAM830101 -0.834 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.43 1.33 0.55 0.90 0.52 1.43 1.70 0.56 0.66 1.18 - 1.52 0.82 1.68 1.10 0.15 0.61 0.75 1.68 0.65 1.14 -// -H AURR980109 -D Normalized positional residue frequency at helix termini N4 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C KANM800103 0.944 AURR980114 0.939 ISOY800101 0.894 - QIAN880107 0.893 AURR980113 0.892 SUEM840101 0.882 - PALJ810102 0.877 AURR980112 0.875 MAXF760101 0.865 - QIAN880106 0.862 CHOP780201 0.859 ROBB760103 0.857 - KANM800101 0.852 AURR980108 0.848 RICJ880109 0.828 - BEGF750101 0.821 PTIO830101 0.820 AURR980110 0.817 - ROBB760101 0.810 QIAN880109 0.807 RACS820108 0.804 - QIAN880110 0.802 FINA770101 0.802 QIAN880132 -0.806 - LEVM780103 -0.814 GEIM800111 -0.814 PRAM900104 -0.815 - TANS770110 -0.816 MUNV940102 -0.818 MUNV940101 -0.828 - CHOP780101 -0.837 PALJ810106 -0.845 CHAM830101 -0.896 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.55 1.39 0.60 0.61 0.59 1.43 1.34 0.37 0.89 1.47 - 1.36 1.27 2.13 1.39 0.03 0.44 0.65 1.10 0.93 1.18 -// -H AURR980110 -D Normalized positional residue frequency at helix termini N5 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980115 0.907 AURR980111 0.867 MAXF760101 0.860 - ISOY800101 0.855 KANM800101 0.830 AURR980109 0.817 - AURR980112 0.816 QIAN880107 0.815 CHOP780201 0.814 - PALJ810102 0.812 AURR980114 0.811 GEOR030108 0.804 - QIAN880106 0.804 MUNV940101 -0.822 MUNV940102 -0.846 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.80 1.73 0.73 0.90 0.55 0.97 1.73 0.32 0.46 1.09 - 1.47 1.24 1.64 0.96 0.15 0.67 0.70 0.68 0.91 0.81 -// -H AURR980111 -D Normalized positional residue frequency at helix termini C5 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980110 0.867 GEOR030108 0.846 AURR980115 0.835 - PALJ810102 0.830 TANS770101 0.817 CHOP780201 0.813 - AURR980114 0.811 MAXF760101 0.811 ISOY800101 0.801 - AURR980112 0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.52 1.49 0.58 1.04 0.26 1.41 1.76 0.30 0.83 1.25 - 1.26 1.10 1.14 1.14 0.44 0.66 0.73 0.68 1.04 1.03 -// -H AURR980112 -D Normalized positional residue frequency at helix termini C4 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980108 0.910 PALJ810102 0.888 AURR980109 0.875 - KANM800103 0.871 ISOY800101 0.870 CHOP780201 0.856 - AURR980114 0.853 AURR980115 0.850 AURR980113 0.848 - KANM800101 0.847 GEOR030108 0.846 RACS820108 0.840 - QIAN880106 0.839 MAXF760101 0.838 PALJ810109 0.817 - AURR980110 0.816 GEIM800104 0.815 ROBB760101 0.806 - QIAN880107 0.802 GEIM800101 0.802 AURR980111 0.800 - MUNV940101 -0.819 MUNV940102 -0.853 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.49 1.41 0.67 0.94 0.37 1.52 1.55 0.29 0.96 1.04 - 1.40 1.17 1.84 0.86 0.20 0.68 0.79 1.52 1.06 0.94 -// -H AURR980113 -D Normalized positional residue frequency at helix termini C3 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C KANM800103 0.905 AURR980109 0.892 SUEM840101 0.887 - BEGF750101 0.857 FINA770101 0.849 AURR980112 0.848 - ROBB760103 0.838 AURR980114 0.836 QIAN880106 0.835 - QIAN880105 0.833 PTIO830101 0.833 QIAN880107 0.832 - AURR980108 0.821 ISOY800101 0.815 RICJ880109 0.808 - CHAM830101 -0.828 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.73 1.24 0.70 0.68 0.63 0.88 1.16 0.32 0.76 1.15 - 1.80 1.22 2.21 1.35 0.07 0.65 0.46 1.57 1.10 0.94 -// -H AURR980114 -D Normalized positional residue frequency at helix termini C2 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980109 0.939 KANM800103 0.916 QIAN880107 0.876 - FINA770101 0.875 ISOY800101 0.857 MAXF760101 0.853 - AURR980112 0.853 KANM800101 0.852 PALJ810102 0.848 - SUEM840101 0.845 AURR980113 0.836 CHOP780201 0.828 - QIAN880110 0.819 RACS820108 0.818 AURR980111 0.811 - AURR980110 0.811 QIAN880109 0.810 PTIO830101 0.809 - AURR980115 0.804 GEOR030108 0.804 QIAN880106 0.803 - ROBB760103 0.801 TANS770101 0.800 CHOP780101 -0.803 - MUNV940102 -0.820 MUNV940101 -0.821 CHAM830101 -0.842 - PALJ810106 -0.842 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.33 1.39 0.64 0.60 0.44 1.37 1.43 0.20 1.02 1.58 - 1.63 1.71 1.76 1.22 0.07 0.42 0.57 1.00 1.02 1.08 -// -H AURR980115 -D Normalized positional residue frequency at helix termini C1 (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C AURR980110 0.907 KANM800101 0.858 MAXF760101 0.852 - AURR980112 0.850 ISOY800101 0.844 AURR980111 0.835 - TANS770101 0.834 PALJ810102 0.827 GEOR030108 0.821 - LEVM780104 0.818 CHOP780201 0.816 GEIM800101 0.804 - AURR980114 0.804 RACS820108 0.802 MUNV940101 -0.807 - MUNV940102 -0.852 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.87 1.66 0.70 0.91 0.33 1.24 1.88 0.33 0.89 0.90 - 1.65 1.63 1.35 0.67 0.03 0.71 0.50 1.00 0.73 0.51 -// -H AURR980116 -D Normalized positional residue frequency at helix termini Cc (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.19 1.45 1.33 0.72 0.44 1.43 1.27 0.74 1.55 0.61 - 1.36 1.45 1.35 1.20 0.10 1.02 0.82 0.58 1.06 0.46 -// -H AURR980117 -D Normalized positional residue frequency at helix termini C' (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C RICJ880115 0.921 MAXF760104 0.849 ISOY800108 0.822 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.77 1.11 1.39 0.79 0.44 0.95 0.92 2.74 1.65 0.64 - 0.66 1.19 0.74 1.04 0.66 0.64 0.82 0.58 0.93 0.53 -// -H AURR980118 -D Normalized positional residue frequency at helix termini C" (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.93 0.96 0.82 1.15 0.67 1.02 1.07 1.08 1.40 1.14 - 1.16 1.27 1.11 1.05 1.01 0.71 0.84 1.06 1.15 0.74 -// -H AURR980119 -D Normalized positional residue frequency at helix termini C"' (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C MUNV940104 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.09 1.29 1.03 1.17 0.26 1.08 1.31 0.97 0.88 0.97 - 0.87 1.13 0.96 0.84 2.01 0.76 0.79 0.91 0.64 0.77 -// -H AURR980120 -D Normalized positional residue frequency at helix termini C4' (Aurora-Rose, - 1998) -R PMID:9514257 -A Aurora, R. and Rose, G. -T Helix capping -J Protein Science 7, 21-38 (1998) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.71 1.09 0.95 1.43 0.65 0.87 1.19 1.07 1.13 1.05 - 0.84 1.10 0.80 0.95 1.70 0.65 .086 1.25 0.85 1.12 -// -H ONEK900101 -D Delta G values for the peptides extrapolated to 0 M urea (O'Neil-DeGrado, - 1990) -R PMID:2237415 -A O'Neil, K.T. and DeGrado, W.F. -T A thermodynamic scale for the helix-forming tendencies of the commonly - occurring amino acids -J Science 250, 646-651 (1990) -C BLAM930101 0.965 BUNA790101 0.902 ROBB760103 0.878 - QIAN880108 0.866 PTIO830101 0.847 ROBB760104 0.844 - QIAN880109 0.824 FAUJ880113 0.820 MUNV940105 -0.839 - RACS820114 -0.880 GEOR030109 -0.884 MUNV940101 -0.890 - AVBF000104 -0.899 MUNV940102 -0.910 FINA910102 -0.920 - ONEK900102 -0.982 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 13.4 13.3 12.0 11.7 11.6 12.8 12.2 11.3 11.6 12.0 - 13.0 13.0 12.8 12.1 6.5 12.2 11.7 12.4 12.1 11.9 -// -H ONEK900102 -D Helix formation parameters (delta delta G) (O'Neil-DeGrado, 1990) -R PMID:2237415 -A O'Neil, K.T. and DeGrado, W.F. -T A thermodynamic scale for the helix-forming tendencies of the commonly - occurring amino acids -J Science 250, 646-651 (1990) -C FINA910102 0.964 AVBF000104 0.919 GEOR030109 0.908 - MUNV940105 0.876 MUNV940101 0.861 MUNV940102 0.860 - RACS820114 0.855 MUNV940104 0.845 ISOY800104 0.828 - TANS770104 0.826 QIAN880109 -0.800 PTIO830101 -0.830 - FAUJ880113 -0.839 QIAN880108 -0.860 ROBB760104 -0.861 - ROBB760103 -0.867 BUNA790101 -0.949 BLAM930101 -0.974 - ONEK900101 -0.982 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.77 -0.68 -0.07 -0.15 -0.23 -0.33 -0.27 0.00 -0.06 -0.23 - -0.62 -0.65 -0.50 -0.41 3 -0.35 -0.11 -0.45 -0.17 -0.14 -// -H VINM940101 -D Normalized flexibility parameters (B-values), average (Vihinen et al., 1994) -R PMID:8090708 -A Vihinen, M., Torkkila, E. and Riikonen, P. -T Accuracy of protein flexibility predictions -J Proteins 19, 141-149 (1994) -C MIYS990104 0.965 MIYS990105 0.952 MIYS990103 0.951 - VINM940102 0.940 OOBM770103 0.936 GUYH850102 0.924 - VINM940103 0.921 FUKS010104 0.919 PARS000101 0.919 - FASG890101 0.904 MEIH800101 0.900 KRIW790101 0.890 - KARP850102 0.885 MIYS990102 0.883 MIYS990101 0.880 - PARS000102 0.877 FUKS010102 0.876 MEIH800102 0.872 - GRAR740102 0.869 CORJ870108 0.862 GUYH850103 0.860 - HOPT810101 0.859 KRIW790102 0.853 PUNT030102 0.850 - RACS770102 0.844 PARJ860101 0.837 RACS770101 0.835 - WOEC730101 0.834 RACS770103 0.830 GUYH850101 0.829 - FUKS010103 0.827 KARP850101 0.821 VINM940104 0.815 - LEVM760101 0.815 MUNV940103 0.811 PUNT030101 0.805 - PALJ810104 -0.801 WIMW960101 -0.804 DESM900101 -0.806 - NADH010105 -0.808 CORJ870102 -0.817 SWER830101 -0.817 - ROSM880105 -0.818 GEIM800107 -0.819 QIAN880120 -0.823 - CORJ870104 -0.826 QIAN880121 -0.828 LIFS790103 -0.829 - DESM900102 -0.829 CHOP780202 -0.831 ZHOH040101 -0.833 - LIFS790101 -0.834 MANP780101 -0.836 CIDH920103 -0.837 - CORJ870103 -0.848 CIDH920101 -0.854 ROBB790101 -0.858 - NADH010102 -0.859 MEIH800103 -0.861 BASU050101 -0.867 - FAUJ830101 -0.871 CIDH920102 -0.872 CORJ870105 -0.873 - CORJ870107 -0.877 PONP800103 -0.878 PONP800101 -0.878 - CORJ870106 -0.881 CIDH920104 -0.883 MIYS850101 -0.883 - PONP800102 -0.883 CIDH920105 -0.885 NADH010103 -0.889 - PONP800108 -0.891 NADH010104 -0.891 BAEK050101 -0.896 - BASU050103 -0.902 BASU050102 -0.904 RADA880108 -0.906 - PONP930101 -0.913 NISK800101 -0.922 ZHOH040103 -0.922 - CORJ870101 -0.924 BIOV880102 -0.929 WERD780101 -0.931 - BIOV880101 -0.941 ROSG850102 -0.943 CASG920101 -0.947 - NISK860101 -0.959 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.984 1.008 1.048 1.068 0.906 1.037 1.094 1.031 0.950 0.927 - 0.935 1.102 0.952 0.915 1.049 1.046 0.997 0.904 0.929 0.931 -// -H VINM940102 -D Normalized flexibility parameters (B-values) for each residue surrounded by - none rigid neighbours (Vihinen et al., 1994) -R PMID:8090708 -A Vihinen, M., Torkkila, E. and Riikonen, P. -T Accuracy of protein flexibility predictions -J Proteins 19, 141-149 (1994) -C VINM940101 0.940 MIYS990104 0.922 PARS000101 0.917 - GUYH850102 0.905 MIYS990103 0.895 MIYS990105 0.891 - OOBM770103 0.891 GUYH850103 0.875 KARP850101 0.874 - FUKS010103 0.864 VINM940103 0.855 MIYS990102 0.842 - MIYS990101 0.841 GRAR740102 0.837 FASG890101 0.836 - KARP850102 0.834 KRIW790101 0.834 PARJ860101 0.833 - MEIH800101 0.833 CORJ870108 0.810 FUKS010102 0.808 - FUKS010104 0.807 MUNV940103 0.803 PARS000102 0.803 - CORJ870105 -0.807 PLIV810101 -0.808 NADH010105 -0.809 - ROSG850101 -0.810 CHOP780202 -0.810 SWER830101 -0.811 - CORJ870107 -0.811 NADH010103 -0.812 CORJ870102 -0.812 - QIAN880120 -0.813 PONP800103 -0.820 MANP780101 -0.821 - BIOV880102 -0.826 CORJ870106 -0.830 MIYS850101 -0.832 - NADH010104 -0.834 MEEJ810101 -0.839 PONP800102 -0.842 - LIFS790101 -0.843 FAUJ830101 -0.844 PONP800101 -0.845 - RADA880108 -0.846 CORJ870101 -0.847 ROSG850102 -0.849 - CIDH920103 -0.855 LIFS790103 -0.862 ROBB790101 -0.866 - PONP930101 -0.869 PONP800108 -0.871 BAEK050101 -0.873 - CASG920101 -0.874 BASU050101 -0.874 BIOV880101 -0.876 - BASU050103 -0.880 CIDH920104 -0.884 CIDH920101 -0.885 - WERD780101 -0.886 ZHOH040101 -0.899 NISK800101 -0.900 - CIDH920105 -0.910 NISK860101 -0.919 CIDH920102 -0.925 - BASU050102 -0.937 ZHOH040103 -0.939 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.315 1.310 1.380 1.372 1.196 1.342 1.376 1.382 1.279 1.241 - 1.234 1.367 1.269 1.247 1.342 1.381 1.324 1.186 1.199 1.235 -// -H VINM940103 -D Normalized flexibility parameters (B-values) for each residue surrounded by - one rigid neighbours (Vihinen et al., 1994) -R PMID:8090708 -A Vihinen, M., Torkkila, E. and Riikonen, P. -T Accuracy of protein flexibility predictions -J Proteins 19, 141-149 (1994) -C VINM940101 0.921 MIYS990104 0.898 GUYH850102 0.895 - MIYS990103 0.886 MIYS990105 0.880 MEIH800101 0.875 - KRIW790101 0.875 BHAR880101 0.869 FASG890101 0.868 - GUYH850101 0.865 KARP850102 0.863 VINM940102 0.855 - OOBM770103 0.845 MEIH800102 0.841 RACS770102 0.839 - FUKS010104 0.838 KARP850101 0.837 KRIW790102 0.836 - RACS770101 0.829 PARS000101 0.823 MIYS990102 0.818 - MIYS990101 0.817 FUKS010102 0.809 PARS000102 0.808 - FAUJ830101 -0.804 NADH010106 -0.813 PONP800101 -0.813 - CIDH920101 -0.814 BASU050103 -0.814 PONP800103 -0.817 - PONP930101 -0.818 PONP800102 -0.820 NADH010102 -0.824 - DESM900102 -0.824 CIDH920102 -0.826 MEIH800103 -0.830 - CIDH920105 -0.832 CIDH920104 -0.835 NISK800101 -0.836 - CORJ870101 -0.837 MIYS850101 -0.849 BASU050102 -0.856 - RADA880108 -0.862 ZHOH040103 -0.882 NADH010103 -0.882 - NADH010105 -0.884 BIOV880102 -0.889 NADH010104 -0.899 - ROSG850102 -0.901 BIOV880101 -0.901 NISK860101 -0.903 - BAEK050101 -0.906 CASG920101 -0.915 WERD780101 -0.926 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.994 1.026 1.022 1.022 0.939 1.041 1.052 1.018 0.967 0.977 - 0.982 1.029 0.963 0.934 1.050 1.025 0.998 0.938 0.981 0.968 -// -H VINM940104 -D Normalized flexibility parameters (B-values) for each residue surrounded by - two rigid neighbours (Vihinen et al., 1994) -R PMID:8090708 -A Vihinen, M., Torkkila, E. and Riikonen, P. -T Accuracy of protein flexibility predictions -J Proteins 19, 141-149 (1994) -C VINM940101 0.815 JANJ780103 0.811 MEIH800102 0.808 - RACS770103 0.804 DESM900102 -0.803 CORJ870101 -0.805 - ROSG850102 -0.809 CASG920101 -0.810 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.783 0.807 0.799 0.822 0.785 0.817 0.826 0.784 0.777 0.776 - 0.783 0.834 0.806 0.774 0.809 0.811 0.795 0.796 0.788 0.781 -// -H MUNV940101 -D Free energy in alpha-helical conformation (Munoz-Serrano, 1994) -R PMID:7731949 -A Munoz, V. and Serrano, L. -T Intrinsic secondary structure propensities of the amino acids, using - statistical phi-psi matrices: comparison with experimental scales -J Proteins 20, 301-311 (1994) -C MUNV940102 0.964 ONEK900102 0.861 RACS820114 0.828 - GEOR030109 0.801 CHOP780201 -0.802 AURR980115 -0.807 - AURR980108 -0.814 PALJ810102 -0.815 AURR980112 -0.819 - AURR980114 -0.821 ROBB760101 -0.822 AURR980110 -0.822 - KANM800103 -0.826 AURR980109 -0.828 ROBB760104 -0.831 - MAXF760101 -0.833 QIAN880106 -0.835 FAUJ880113 -0.836 - QIAN880109 -0.841 KANM800101 -0.846 RACS820108 -0.859 - QIAN880108 -0.864 ISOY800101 -0.875 QIAN880107 -0.880 - PTIO830101 -0.880 BLAM930101 -0.882 ONEK900101 -0.890 - ROBB760103 -0.918 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.423 0.503 0.906 0.870 0.877 0.594 0.167 1.162 0.802 0.566 - 0.494 0.615 0.444 0.706 1.945 0.928 0.884 0.690 0.778 0.706 -// -H MUNV940102 -D Free energy in alpha-helical region (Munoz-Serrano, 1994) -R PMID:7731949 -A Munoz, V. and Serrano, L. -T Intrinsic secondary structure propensities of the amino acids, using - statistical phi-psi matrices: comparison with experimental scales -J Proteins 20, 301-311 (1994) -C MUNV940101 0.964 RACS820114 0.877 ONEK900102 0.860 - AURR980108 -0.803 ROBB760104 -0.803 CHOP780201 -0.812 - QIAN880105 -0.816 AURR980109 -0.818 AURR980114 -0.820 - KANM800103 -0.823 PALJ810102 -0.824 FAUJ880113 -0.826 - ROBB760101 -0.827 MAXF760101 -0.829 QIAN880108 -0.839 - KANM800101 -0.843 PTIO830101 -0.844 AURR980110 -0.846 - AURR980115 -0.852 AURR980112 -0.853 QIAN880106 -0.867 - BLAM930101 -0.876 ISOY800101 -0.877 QIAN880107 -0.882 - RACS820108 -0.894 ONEK900101 -0.910 ROBB760103 -0.913 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.619 0.753 1.089 0.932 1.107 0.770 0.675 1.361 1.034 0.876 - 0.740 0.784 0.736 0.968 1.780 0.969 1.053 0.910 1.009 0.939 -// -H MUNV940103 -D Free energy in beta-strand conformation (Munoz-Serrano, 1994) -R PMID:7731949 -A Munoz, V. and Serrano, L. -T Intrinsic secondary structure propensities of the amino acids, using - statistical phi-psi matrices: comparison with experimental scales -J Proteins 20, 301-311 (1994) -C GEIM800110 0.880 QIAN880134 0.858 QIAN880133 0.836 - MIYS990103 0.831 CORJ870108 0.830 MIYS990104 0.827 - PARS000101 0.826 QIAN880135 0.820 LEVM780106 0.815 - VINM940101 0.811 GEIM800108 0.806 OOBM770103 0.805 - VINM940102 0.803 GEIM800106 -0.800 PONP800102 -0.802 - CORJ870102 -0.802 SWER830101 -0.802 NISK800101 -0.813 - BASU050103 -0.814 MANP780101 -0.815 CORJ870101 -0.817 - PONP800101 -0.819 CORJ870105 -0.829 PALJ810112 -0.830 - ROBB760105 -0.832 CORJ870107 -0.832 BASU050102 -0.839 - NISK860101 -0.840 GEIM800105 -0.841 PALJ810110 -0.845 - BASU050101 -0.846 CORJ870106 -0.848 LEVM780102 -0.848 - PRAM900103 -0.848 PALJ810103 -0.857 KANM800104 -0.857 - PONP930101 -0.864 GEIM800107 -0.869 PALJ810104 -0.888 - ROBB760106 -0.888 LEVM780105 -0.891 CHOP780202 -0.892 - LIFS790103 -0.902 PTIO830102 -0.903 KANM800102 -0.916 - AVBF000101 -0.917 QIAN880119 -0.927 QIAN880121 -0.938 - LIFS790101 -0.941 QIAN880120 -0.959 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.080 0.976 1.197 1.266 0.733 1.050 1.085 1.104 0.906 0.583 - 0.789 1.026 0.812 0.685 1.412 0.987 0.784 0.755 0.665 0.546 -// -H MUNV940104 -D Free energy in beta-strand region (Munoz-Serrano, 1994) -R PMID:7731949 -A Munoz, V. and Serrano, L. -T Intrinsic secondary structure propensities of the amino acids, using - statistical phi-psi matrices: comparison with experimental scales -J Proteins 20, 301-311 (1994) -C MUNV940105 0.987 QIAN880134 0.897 FINA910102 0.896 - TANS770104 0.870 ISOY800104 0.866 ONEK900102 0.845 - CHOP780213 0.836 RACS820110 0.831 QIAN880135 0.819 - AURR980119 0.804 PTIO830101 -0.807 AVBF000101 -0.821 - FAUJ880102 -0.824 ROBB760104 -0.840 BUNA790101 -0.865 - BLAM930101 -0.904 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.978 0.784 0.915 1.038 0.573 0.863 0.962 1.405 0.724 0.502 - 0.766 0.841 0.729 0.585 2.613 0.784 0.569 0.671 0.560 0.444 -// -H MUNV940105 -D Free energy in beta-strand region (Munoz-Serrano, 1994) -R PMID:7731949 -A Munoz, V. and Serrano, L. -T Intrinsic secondary structure propensities of the amino acids, using - statistical phi-psi matrices: comparison with experimental scales -J Proteins 20, 301-311 (1994) -C MUNV940104 0.987 FINA910102 0.911 QIAN880134 0.899 - ONEK900102 0.876 TANS770104 0.846 ISOY800104 0.844 - RACS820110 0.833 QIAN880135 0.829 CHOP780213 0.826 - PTIO830101 -0.833 ONEK900101 -0.839 ROBB760104 -0.859 - BUNA790101 -0.874 BLAM930101 -0.925 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.40 1.23 1.61 1.89 1.14 1.33 1.42 2.06 1.25 1.02 - 1.33 1.34 1.12 1.07 3.90 1.20 0.99 1.10 0.98 0.87 -// -H WIMW960101 -D Free energies of transfer of AcWl-X-LL peptides from bilayer interface to - water (Wimley-White, 1996) -R PMID:8836100 -A Wimley, W.C. and White, S. -T Experimentally determined hydrophobicity scale for proteins at membrane - interfaces -J Nature Structual biol. 3, 842-848 (1996) -C ZASB820101 0.885 MEEJ800101 0.838 CIDH920102 0.837 - MEEJ800102 0.821 ZHOH040101 0.821 NOZY710101 0.818 - PARJ860101 -0.804 VINM940101 -0.804 GRAR740102 -0.804 - FUKS010102 -0.808 LEVM760101 -0.812 OOBM770103 -0.814 - WOEC730101 -0.821 HOPT810101 -0.855 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.08 3.91 3.83 3.02 4.49 3.67 2.23 4.24 4.08 4.52 - 4.81 3.77 4.48 5.38 3.80 4.12 4.11 6.10 5.19 4.18 -// -H KIMC930101 -D Thermodynamic beta sheet propensity (Kim-Berg, 1993) -R PMID:8459852 -A Kim, C.A. and Berg, J.M. -T Thermodynamic beta-sheet propensities measured using a zinc-finger host - peptide -J Nature 362, 267-270 (1993) -C LEVM760104 0.842 AVBF000101 -0.814 CHAM810101 -0.848 - LEVM760103 -0.861 FAUJ880102 -0.886 AVBF000102 -0.900 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.35 -0.44 -0.38 -0.41 -0.47 -0.40 -0.41 0.0 -0.46 -0.56 - -0.48 -0.41 -0.46 -0.55 -0.23 -0.39 -0.48 -0.48 -0.50 -0.53 -// -H MONM990101 -D Turn propensity scale for transmembrane helices (Monne et al., 1999) -R PMID:10329132 -A Monne, M., Hermansson, M. and von Heijne, G. -T A turn propensity scale for transmembrane helices -J J. Mol. Biol. 288, 141-145 (1999) -C PUNT030102 0.839 PUNT030101 0.839 GRAR740102 0.831 - KRIW790101 0.830 ENGD860101 0.820 PRAM900101 0.820 - MIYS990103 0.809 NADH010105 -0.815 KYTJ820101 -0.842 - DESM900101 -0.848 NADH010104 -0.848 DESM900102 -0.850 - JURD980101 -0.853 NADH010101 -0.860 NADH010103 -0.862 - NADH010102 -0.871 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.5 1.7 1.7 1.6 0.6 1.6 1.6 1.3 1.6 0.6 - 0.4 1.6 0.5 0.4 1.7 0.7 0.4 0.7 0.6 0.5 -// -H BLAM930101 -D Alpha helix propensity of position 44 in T4 lysozyme (Blaber et al., 1993) -R PMID:8503008 -A Blaber, M., Zhang, X.J. and Matthews, B.W. -T Structural basis of amino acid alpha helix propensity -J Science 260, 1637-1640 (1993) -C ONEK900101 0.965 BUNA790101 0.945 ROBB760103 0.883 - ROBB760104 0.878 PTIO830101 0.868 QIAN880108 0.860 - FAUJ880113 0.839 QIAN880109 0.828 CHOP780213 -0.824 - QIAN880134 -0.836 TANS770104 -0.837 ISOY800104 -0.860 - RACS820114 -0.862 AVBF000104 -0.872 MUNV940102 -0.876 - MUNV940101 -0.882 GEOR030109 -0.889 MUNV940104 -0.904 - MUNV940105 -0.925 FINA910102 -0.961 ONEK900102 -0.974 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.96 0.77 0.39 0.42 0.42 0.80 0.53 0.00 0.57 0.84 - 0.92 0.73 0.86 0.59 -2.50 0.53 0.54 0.58 0.72 0.63 -// -H PARS000101 -D p-Values of mesophilic proteins based on the distributions of B values - (Parthasarathy-Murthy, 2000) -R PMID:10679524 -A Parthasarathy, S. and Murthy, M.R. -T Protein thermal stability: insights from atomic displacement parameters (B - values) -J Protein Eng. 13, 9-13 (2000) -C VINM940101 0.919 VINM940102 0.917 MIYS990104 0.903 - MIYS990103 0.879 MIYS990105 0.877 OOBM770103 0.864 - CORJ870108 0.854 KARP850102 0.852 GUYH850102 0.839 - GEIM800110 0.831 MIYS990102 0.830 MIYS990101 0.830 - MUNV940103 0.826 VINM940103 0.823 GUYH850103 0.822 - KARP850101 0.816 MEIH800101 0.813 PARJ860101 0.812 - RACS770101 0.804 KRIW790101 0.804 CORJ870104 -0.800 - ROSG850101 -0.805 QIAN880121 -0.809 BIOV880102 -0.813 - CORJ870103 -0.815 BIOV880101 -0.819 ROBB790101 -0.819 - ROSG850102 -0.820 BASU050103 -0.820 BAEK050101 -0.821 - CIDH920103 -0.821 MIYS850101 -0.821 CASG920101 -0.826 - NOZY710101 -0.829 NISK800101 -0.832 BASU050101 -0.835 - LIFS790101 -0.844 ZHOH040101 -0.845 SWER830101 -0.846 - ZHOH040103 -0.846 CORJ870102 -0.848 PONP930101 -0.849 - WERD780101 -0.853 CIDH920105 -0.860 LIFS790103 -0.861 - QIAN880120 -0.863 BASU050102 -0.864 CORJ870107 -0.865 - CIDH920102 -0.871 CIDH920101 -0.877 CORJ870105 -0.878 - NISK860101 -0.884 CORJ870106 -0.891 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.343 0.353 0.409 0.429 0.319 0.395 0.405 0.389 0.307 0.296 - 0.287 0.429 0.293 0.292 0.432 0.416 0.362 0.268 0.22 0.307 -// -H PARS000102 -D p-Values of thermophilic proteins based on the distributions of B values - (Parthasarathy-Murthy, 2000) -R PMID:10679524 -A Parthasarathy, S. and Murthy, M.R. -T Protein thermal stability: insights from atomic displacement parameters (B - values) -J Protein Eng. 13, 9-13 (2000) -C VINM940101 0.877 FUKS010102 0.868 FUKS010104 0.850 - VINM940103 0.808 VINM940102 0.803 NISK800101 -0.814 - CORJ870101 -0.850 CASG920101 -0.859 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.320 0.327 0.384 0.424 0.198 0.436 0.514 0.374 0.299 0.306 - 0.340 0.446 0.313 0.314 0.354 0.376 0.339 0.291 0.287 0.294 -// -H KUMS000101 -D Distribution of amino acid residues in the 18 non-redundant families of - thermophilic proteins (Kumar et al., 2000) -R PMID:10775659 -A Kumar, S., Tsai, C.J. and Nussinov, R. -T Factors enhancing protein thermostability -J Protein Eng. 13, 179-191 (2000) -C KUMS000102 0.971 FUKS010110 0.947 FUKS010109 0.894 - JUKT750101 0.879 CEDJ970104 0.871 DAYM780101 0.866 - JOND920101 0.863 NAKH900101 0.856 JUNJ780101 0.854 - CEDJ970101 0.830 CEDJ970102 0.826 FUKS010111 0.826 - NAKH920107 0.800 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.9 4.6 4.4 6.3 0.6 2.8 6.9 9.4 2.2 7.0 - 7.4 6.1 2.3 3.3 4.2 4.0 5.7 1.3 4.5 8.2 -// -H KUMS000102 -D Distribution of amino acid residues in the 18 non-redundant families of - mesophilic proteins (Kumar et al., 2000) -R PMID:10775659 -A Kumar, S., Tsai, C.J. and Nussinov, R. -T Factors enhancing protein thermostability -J Protein Eng. 13, 179-191 (2000) -C KUMS000101 0.971 JUKT750101 0.948 FUKS010110 0.943 - JUNJ780101 0.927 DAYM780101 0.925 CEDJ970101 0.914 - JOND920101 0.909 CEDJ970104 0.908 FUKS010111 0.898 - NAKH900101 0.894 CEDJ970102 0.881 FUKS010109 0.850 - NAKH920107 0.839 NAKH900109 0.837 FUKS010112 0.819 - CEDJ970103 0.812 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.2 3.6 5.1 6.0 1.0 2.9 6.0 9.4 2.1 6.0 - 7.7 6.5 2.4 3.4 4.2 5.5 5.7 1.2 3.7 8.2 -// -H KUMS000103 -D Distribution of amino acid residues in the alpha-helices in thermophilic - proteins (Kumar et al., 2000) -R PMID:10775659 -A Kumar, S., Tsai, C.J. and Nussinov, R. -T Factors enhancing protein thermostability -J Protein Eng. 13, 179-191 (2000) -C KUMS000104 0.961 FUKS010110 0.827 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 14.1 5.5 3.2 5.7 0.1 3.7 8.8 4.1 2.0 7.1 - 9.1 7.7 3.3 5.0 0.7 3.9 4.4 1.2 4.5 5.9 -// -H KUMS000104 -D Distribution of amino acid residues in the alpha-helices in mesophilic - proteins (Kumar et al., 2000) -R PMID:10775659 -A Kumar, S., Tsai, C.J. and Nussinov, R. -T Factors enhancing protein thermostability -J Protein Eng. 13, 179-191 (2000) -C KUMS000103 0.961 FUKS010110 0.861 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 13.4 3.9 3.7 4.6 0.8 4.8 7.8 4.6 3.3 6.5 - 10.6 7.5 3.0 4.5 1.3 3.8 4.6 1.0 3.3 7.1 -// -H TAKK010101 -D Side-chain contribution to protein stability (kJ/mol) (Takano-Yutani, 2001) -R PMID:11579219 -A Takano, K., Yutani, K. -T A new scale for side-chain contribution to protein stability based on the - empirical stability analysis of mutant proteins -J Protein Eng. 14, 525-528 (2001) -C SIMZ760101 0.936 ARGP820101 0.906 JOND750101 0.906 - MEEJ800102 0.891 NOZY710101 0.884 ZHOH040102 0.874 - GOLD730101 0.872 CIDH920102 0.859 ZIMJ680105 0.856 - ZHOH040101 0.846 LEVM760106 0.841 ZIMJ680102 0.840 - CIDH920105 0.840 ROSM880104 0.840 BROC820102 0.839 - BROC820101 0.836 MEEJ810101 0.836 RADA880102 0.830 - PLIV810101 0.822 MEEJ810102 0.819 LEVM760107 0.819 - VENT840101 0.812 WOLS870101 -0.858 BULH740101 -0.865 - PARJ860101 -0.870 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.8 7.3 3.6 4.9 3.0 2.4 4.4 0 11.9 17.2 - 17.0 10.5 11.9 23.0 15.0 2.6 6.9 24.2 17.2 15.3 -// -H FODM020101 -D Propensity of amino acids within pi-helices (Fodje-Al-Karadaghi, 2002) -R PMID:12034854 -A Fodje, M.N. and Al-Karadaghi, S. -T Occurrence, conformational features and amino acid propensities for the - pi-helix -J Protein Eng. 15, 353-358 (2002) -C TANS770104 -0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.70 0.95 1.47 0.87 1.17 0.73 0.96 0.64 1.39 1.29 - 1.44 0.91 0.91 1.34 0.12 0.84 0.74 1.80 1.68 1.20 -// -H NADH010101 -D Hydropathy scale based on self-information values in the two-state model (5% - accessibility) (Naderi-Manesh et al., 2001) -R PMID:11170200 -A Naderi-Manesh, H., Sadeghi, M., Arab, S. and Moosavi Movahedi, A.A. -T Prediction of protein surface accessibility with information theory -J Proteins 42, 452-459 (2001) -C JURD980101 0.925 KYTJ820101 0.918 NADH010105 0.912 - DESM900102 0.905 NADH010103 0.904 RADA880101 0.902 - NADH010102 0.898 NADH010104 0.895 JANJ780102 0.892 - CHOC760103 0.881 EISD860103 0.868 CIDH920104 0.865 - EISD840101 0.861 BLAS910101 0.855 BASU050103 0.852 - WOLR810101 0.848 JANJ790101 0.847 MANP780101 0.847 - OLSK800101 0.843 RADA880108 0.838 BIOV880101 0.838 - FAUJ830101 0.837 PONP800103 0.833 ROSG850102 0.833 - PONP800102 0.832 CORJ870101 0.827 PONP800101 0.826 - WOLR790101 0.826 ROSM880105 0.825 DESM900101 0.825 - MEIH800103 0.824 PONP800108 0.820 RADA880104 0.819 - MIYS850101 0.815 PONP930101 0.813 NISK800101 0.813 - NISK860101 0.810 JANJ790102 0.808 CHOC760104 0.804 - BIOV880102 0.804 ZHOH040103 0.803 KIDA850101 -0.803 - GUYH850104 -0.804 JANJ780103 -0.804 RACS770102 -0.808 - MIYS990104 -0.810 FAUJ880110 -0.813 MIYS990102 -0.815 - MIYS990101 -0.816 MEIH800102 -0.818 MIYS990105 -0.821 - MIYS990103 -0.825 KRIW790101 -0.827 VHEG790101 -0.827 - FASG890101 -0.838 ENGD860101 -0.843 PRAM900101 -0.843 - GUYH850105 -0.847 GRAR740102 -0.859 MONM990101 -0.860 - OOBM770101 -0.861 PUNT030101 -0.862 GUYH850101 -0.862 - ROSM880101 -0.866 ROSM880102 -0.870 PUNT030102 -0.872 - KUHL950101 -0.898 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 58 -184 -93 -97 116 -139 -131 -11 -73 107 - 95 -24 78 92 -79 -34 -7 59 -11 100 -// -H NADH010102 -D Hydropathy scale based on self-information values in the two-state model (9% - accessibility) (Naderi-Manesh et al., 2001) -R PMID:11170200 -A Naderi-Manesh, H., Sadeghi, M., Arab, S. and Moosavi Movahedi, A.A. -T Prediction of protein surface accessibility with information theory -J Proteins 42, 452-459 (2001) -C NADH010103 0.986 NADH010104 0.968 JANJ780102 0.949 - ROSG850102 0.948 JANJ790102 0.945 DESM900102 0.933 - JURD980101 0.931 BIOV880101 0.921 PONP800103 0.921 - KYTJ820101 0.920 BIOV880102 0.914 RADA880108 0.911 - CHOC760103 0.910 CORJ870101 0.909 MEIH800103 0.907 - PONP800102 0.901 NADH010101 0.898 FAUJ830101 0.891 - PONP800108 0.890 CASG920101 0.889 EISD840101 0.887 - BASU050103 0.886 DESM900101 0.885 NISK800101 0.881 - PONP930101 0.880 MIYS850101 0.878 NISK860101 0.878 - NADH010105 0.876 PONP800101 0.875 JANJ790101 0.872 - EISD860103 0.872 WARP780101 0.870 ZHOH040103 0.864 - MANP780101 0.863 OLSK800101 0.856 CIDH920104 0.856 - COWR900101 0.848 RADA880101 0.845 ROSM880105 0.845 - WERD780101 0.841 BLAS910101 0.824 RADA880107 0.823 - CORJ870103 0.823 CHOC760104 0.817 CORJ870107 0.812 - BASU050101 0.812 NADH010106 0.808 BASU050102 0.802 - WOEC730101 -0.800 FUKS010104 -0.801 CORJ870108 -0.803 - KARP850102 -0.807 HOPT810101 -0.820 VINM940103 -0.824 - GUYH850102 -0.824 KRIW710101 -0.825 ROSM880101 -0.830 - KUHL950101 -0.836 OOBM770103 -0.838 MEIH800101 -0.847 - VINM940101 -0.859 GUYH850105 -0.867 MIYS990101 -0.870 - ENGD860101 -0.870 PRAM900101 -0.870 MONM990101 -0.871 - MIYS990102 -0.872 PUNT030102 -0.872 KIDA850101 -0.874 - RACS770103 -0.876 ROSM880102 -0.881 GRAR740102 -0.881 - KRIW790102 -0.890 CHOC760102 -0.893 PUNT030101 -0.897 - RACS770102 -0.899 GUYH850101 -0.910 MIYS990104 -0.910 - MIYS990105 -0.923 MIYS990103 -0.923 JANJ780101 -0.924 - MEIH800102 -0.928 KRIW790101 -0.929 FASG890101 -0.929 - JANJ780103 -0.938 OOBM770101 -0.944 GUYH850104 -0.946 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 51 -144 -84 -78 137 -128 -115 -13 -55 106 - 103 -205 73 108 -79 -26 -3 69 11 108 -// -H NADH010103 -D Hydropathy scale based on self-information values in the two-state model (16% - accessibility) (Naderi-Manesh et al., 2001) -R PMID:11170200 -A Naderi-Manesh, H., Sadeghi, M., Arab, S. and Moosavi Movahedi, A.A. -T Prediction of protein surface accessibility with information theory -J Proteins 42, 452-459 (2001) -C NADH010104 0.996 NADH010102 0.986 ROSG850102 0.958 - BIOV880101 0.939 NADH010105 0.936 PONP800103 0.932 - JANJ780102 0.923 CORJ870101 0.921 RADA880108 0.919 - PONP800102 0.919 CASG920101 0.914 ZHOH040103 0.913 - BIOV880102 0.913 NISK860101 0.910 DESM900102 0.910 - NISK800101 0.908 PONP800108 0.907 NADH010101 0.904 - BASU050103 0.903 MEIH800103 0.901 JURD980101 0.900 - JANJ790102 0.899 FAUJ830101 0.899 PONP930101 0.898 - MIYS850101 0.896 PONP800101 0.894 KYTJ820101 0.885 - CIDH920104 0.885 NADH010106 0.881 WERD780101 0.880 - JANJ790101 0.879 MANP780101 0.878 CHOC760103 0.875 - DESM900101 0.866 BASU050102 0.862 EISD860103 0.855 - BAEK050101 0.853 EISD840101 0.840 BASU050101 0.839 - CORJ870103 0.830 COWR900101 0.825 ROSM880105 0.822 - CORJ870107 0.817 BLAS910101 0.812 WARP780101 0.811 - CIDH920105 0.810 QIAN880122 0.809 RADA880101 0.809 - OLSK800101 0.807 PLIV810101 0.804 GUOD860101 0.803 - CORJ870104 0.802 FUKS010104 -0.805 HOPT810101 -0.805 - RACS770101 -0.807 KUHL950101 -0.807 VINM940102 -0.812 - CORJ870108 -0.812 GUYH850105 -0.815 ENGD860101 -0.815 - PRAM900101 -0.815 KARP850102 -0.834 CHOC760102 -0.840 - RACS770103 -0.851 ROSM880102 -0.857 KIDA850101 -0.859 - KRIW710101 -0.860 OOBM770103 -0.861 MONM990101 -0.862 - PUNT030102 -0.865 GUYH850102 -0.866 MEIH800101 -0.868 - PUNT030101 -0.868 JANJ780101 -0.868 GRAR740102 -0.881 - VINM940103 -0.882 MIYS990101 -0.887 KRIW790102 -0.887 - MIYS990102 -0.889 VINM940101 -0.889 JANJ780103 -0.892 - RACS770102 -0.893 GUYH850104 -0.899 OOBM770101 -0.902 - MEIH800102 -0.916 GUYH850101 -0.916 MIYS990104 -0.938 - MIYS990105 -0.939 MIYS990103 -0.944 FASG890101 -0.945 - KRIW790101 -0.954 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 41 -109 -74 -47 169 -104 -90 -18 -35 104 - 103 -148 77 128 -81 -31 10 102 36 116 -// -H NADH010104 -D Hydropathy scale based on self-information values in the two-state model (20% - accessibility) (Naderi-Manesh et al., 2001) -R PMID:11170200 -A Naderi-Manesh, H., Sadeghi, M., Arab, S. and Moosavi Movahedi, A.A. -T Prediction of protein surface accessibility with information theory -J Proteins 42, 452-459 (2001) -C NADH010103 0.996 NADH010102 0.968 NADH010105 0.957 - ROSG850102 0.953 BIOV880101 0.937 PONP800103 0.926 - ZHOH040103 0.925 PONP800102 0.917 CASG920101 0.915 - NISK860101 0.915 RADA880108 0.915 NADH010106 0.914 - CORJ870101 0.914 NISK800101 0.909 PONP800108 0.902 - BIOV880102 0.900 BASU050103 0.899 JANJ780102 0.898 - MIYS850101 0.897 NADH010101 0.895 PONP930101 0.895 - FAUJ830101 0.894 PONP800101 0.892 MEIH800103 0.890 - WERD780101 0.890 CIDH920104 0.888 DESM900102 0.886 - BASU050102 0.879 BAEK050101 0.875 MANP780101 0.873 - JURD980101 0.873 JANJ790101 0.871 JANJ790102 0.868 - KYTJ820101 0.856 CHOC760103 0.848 DESM900101 0.843 - EISD860103 0.840 BASU050101 0.837 CORJ870103 0.820 - CIDH920105 0.817 EISD840101 0.809 CORJ870107 0.808 - COWR900101 0.807 PLIV810101 0.806 QIAN880122 0.804 - GUOD860101 0.803 CORJ870108 -0.805 CHOC760102 -0.809 - RACS770101 -0.813 RACS770103 -0.832 JANJ780101 -0.832 - VINM940102 -0.834 KARP850102 -0.835 ROSM880102 -0.839 - KIDA850101 -0.842 PUNT030101 -0.843 MONM990101 -0.848 - PUNT030102 -0.851 JANJ780103 -0.860 OOBM770103 -0.863 - MEIH800101 -0.867 GUYH850104 -0.867 GRAR740102 -0.868 - OOBM770101 -0.871 KRIW710101 -0.874 GUYH850102 -0.879 - KRIW790102 -0.882 RACS770102 -0.883 MIYS990101 -0.885 - MIYS990102 -0.888 VINM940101 -0.891 VINM940103 -0.899 - MEIH800102 -0.900 GUYH850101 -0.910 MIYS990105 -0.934 - MIYS990104 -0.940 MIYS990103 -0.944 FASG890101 -0.944 - KRIW790101 -0.958 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 32 -95 -73 -29 182 -95 -74 -22 -25 106 - 104 -124 82 132 -82 -34 20 118 44 113 -// -H NADH010105 -D Hydropathy scale based on self-information values in the two-state model (25% - accessibility) (Naderi-Manesh et al., 2001) -R PMID:11170200 -A Naderi-Manesh, H., Sadeghi, M., Arab, S. and Moosavi Movahedi, A.A. -T Prediction of protein surface accessibility with information theory -J Proteins 42, 452-459 (2001) -C NADH010106 0.958 NADH010104 0.957 NADH010103 0.936 - NADH010101 0.912 ZHOH040103 0.890 NADH010102 0.876 - PONP800102 0.869 CIDH920104 0.869 BASU050102 0.869 - BIOV880101 0.867 PONP800103 0.866 ROSG850102 0.865 - NISK860101 0.863 NISK800101 0.860 BASU050103 0.857 - PONP800101 0.853 BAEK050101 0.850 CORJ870101 0.846 - PONP800108 0.845 RADA880108 0.845 MIYS850101 0.844 - JANJ790101 0.843 MANP780101 0.842 PONP930101 0.839 - CASG920101 0.838 WERD780101 0.837 FAUJ830101 0.822 - JURD980101 0.821 DESM900102 0.816 MEIH800103 0.816 - JANJ780102 0.814 BASU050101 0.811 KYTJ820101 0.804 - CIDH920105 0.800 RACS770102 -0.800 MEIH800101 -0.806 - VINM940101 -0.808 VINM940102 -0.809 GRAR740102 -0.812 - MONM990101 -0.815 GUYH850102 -0.826 MIYS990101 -0.837 - MIYS990102 -0.838 KRIW710101 -0.842 GUYH850101 -0.855 - MIYS990105 -0.856 MIYS990104 -0.874 FASG890101 -0.877 - MIYS990103 -0.879 VINM940103 -0.884 KRIW790101 -0.898 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 24 -79 -76 0 194 -87 -57 -28 -31 102 - 103 -9 90 131 -85 -36 34 116 43 111 -// -H NADH010106 -D Hydropathy scale based on self-information values in the two-state model (36% - accessibility) (Naderi-Manesh et al., 2001) -R PMID:11170200 -A Naderi-Manesh, H., Sadeghi, M., Arab, S. and Moosavi Movahedi, A.A. -T Prediction of protein surface accessibility with information theory -J Proteins 42, 452-459 (2001) -C NADH010105 0.958 NADH010104 0.914 NADH010103 0.881 - ZHOH040103 0.819 NADH010107 0.811 BAEK050101 0.809 - NADH010102 0.808 PONP800103 0.803 VINM940103 -0.813 - KRIW710101 -0.846 KRIW790101 -0.861 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5 -57 -77 45 224 -67 -8 -47 -50 83 - 82 -38 83 117 -103 -41 79 130 27 117 -// -H NADH010107 -D Hydropathy scale based on self-information values in the two-state model (50% - accessibility) (Naderi-Manesh et al., 2001) -R PMID:11170200 -A Naderi-Manesh, H., Sadeghi, M., Arab, S. and Moosavi Movahedi, A.A. -T Prediction of protein surface accessibility with information theory -J Proteins 42, 452-459 (2001) -C NADH010106 0.811 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -2 -41 -97 248 329 -37 117 -66 -70 28 - 36 115 62 120 -132 -52 174 179 -7 114 -// -H MONM990201 -D Averaged turn propensities in a transmembrane helix (Monne et al., 1999) -R PMID:10543969 -A Monne, M., Nilsson, I., Elofsson, A. and von Heijne, G. -T Turns in transmembrane helices: determination of the minimal length of a - "helical hairpin" and derivation of a fine-grained turn propensity scale -J J. Mol. Biol. 293, 807-814 (1999) -C FINA910101 0.812 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.4 1.5 1.6 1.5 0.7 1.4 1.3 1.1 1.4 0.5 - 0.3 1.4 0.5 0.3 1.6 0.9 0.7 0.9 0.9 0.4 -// -H KOEP990101 -D Alpha-helix propensity derived from designed sequences (Koehl-Levitt, 1999) -R PMID:10535955 -A Koehl, P. and Levitt, M. -T Structure-based conformational preferences of amino acids -J Proc Natl Acad Sci U S A. 96, 12524-12529 (1999) (Pro missing) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.04 -0.30 0.25 0.27 0.57 -0.02 -0.33 1.24 -0.11 -0.26 - -0.38 -0.18 -0.09 -0.01 0. 0.15 0.39 0.21 0.05 -0.06 -// -H KOEP990102 -D Beta-sheet propensity derived from designed sequences (Koehl-Levitt, 1999) -R PMID:10535955 -A Koehl, P. and Levitt, M. -T Structure-based conformational preferences of amino acids -J Proc Natl Acad Sci U S A. 96, 12524-12529 (1999) (Pro!) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.12 0.34 1.05 1.12 -0.63 1.67 0.91 0.76 1.34 -0.77 - 0.15 0.29 -0.71 -0.67 0. 1.45 -0.70 -0.14 -0.49 -0.70 -// -H CEDJ970101 -D Composition of amino acids in extracellular proteins (percent) (Cedano et - al., 1997) -R PMID:9067612 -A Cedano, J., Aloy, P., Perez-Pons, J.A. and Querol, E. -T Relation between amino acid composition and cellular location of proteins -J J. Mol. Biol. 266, 594-600 (1997) -C JUKT750101 0.973 DAYM780101 0.970 JOND920101 0.968 - JUNJ780101 0.968 CEDJ970102 0.965 NAKH900101 0.954 - CEDJ970104 0.944 KUMS000102 0.914 FUKS010110 0.889 - CEDJ970103 0.889 FUKS010112 0.882 FUKS010111 0.878 - NAKH900109 0.861 NAKH920107 0.860 NAKH920104 0.859 - NAKH920101 0.850 NAKH920103 0.843 NAKH900102 0.832 - KUMS000101 0.830 NAKH920106 0.826 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.6 4.2 4.6 4.9 2.9 4.0 5.1 7.8 2.1 4.6 - 8.8 6.3 2.5 3.7 4.9 7.3 6.0 1.4 3.6 6.7 -// -H CEDJ970102 -D Composition of amino acids in anchored proteins (percent) (Cedano et al., - 1997) -R PMID:9067612 -A Cedano, J., Aloy, P., Perez-Pons, J.A. and Querol, E. -T Relation between amino acid composition and cellular location of proteins -J J. Mol. Biol. 266, 594-600 (1997) -C JOND920101 0.995 NAKH900101 0.988 CEDJ970104 0.976 - CEDJ970101 0.965 FUKS010112 0.946 DAYM780101 0.945 - JUKT750101 0.942 FUKS010110 0.921 JUNJ780101 0.920 - CEDJ970103 0.912 NAKH920103 0.906 NAKH920104 0.905 - NAKH920101 0.898 NAKH920107 0.891 NAKH920106 0.886 - KUMS000102 0.881 NAKH900109 0.865 NAKH900102 0.841 - FUKS010109 0.839 CEDJ970105 0.835 KUMS000101 0.826 - FUKS010111 0.819 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.6 5.0 4.4 5.2 2.2 4.1 6.2 6.9 2.1 5.1 - 9.4 5.8 2.1 4.0 5.4 7.2 6.1 1.4 3.2 6.7 -// -H CEDJ970103 -D Composition of amino acids in membrane proteins (percent) (Cedano et al., - 1997) -R PMID:9067612 -A Cedano, J., Aloy, P., Perez-Pons, J.A. and Querol, E. -T Relation between amino acid composition and cellular location of proteins -J J. Mol. Biol. 266, 594-600 (1997) -C NAKH900109 0.970 FUKS010106 0.919 CEDJ970102 0.912 - JOND920101 0.911 NAKH900101 0.908 FUKS010105 0.901 - FUKS010108 0.897 CEDJ970101 0.889 NAKH900111 0.865 - FUKS010107 0.860 CEDJ970104 0.854 FUKS010112 0.850 - FUKS010110 0.848 NAKH920105 0.836 JUKT750101 0.835 - NAKH900107 0.820 NAKH900103 0.815 KUMS000102 0.812 - NAKH920108 0.811 DAYM780101 0.807 JUNJ780101 0.806 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.1 4.6 3.7 3.8 2.0 3.1 4.6 7.0 2.0 6.7 - 11.0 4.4 2.8 5.6 4.7 7.3 5.6 1.8 3.3 7.7 -// -H CEDJ970104 -D Composition of amino acids in intracellular proteins (percent) (Cedano et - al., 1997) -R PMID:9067612 -A Cedano, J., Aloy, P., Perez-Pons, J.A. and Querol, E. -T Relation between amino acid composition and cellular location of proteins -J J. Mol. Biol. 266, 594-600 (1997) -C JOND920101 0.983 NAKH900101 0.978 CEDJ970102 0.976 - FUKS010112 0.956 FUKS010110 0.956 DAYM780101 0.952 - CEDJ970101 0.944 JUKT750101 0.942 NAKH920106 0.923 - JUNJ780101 0.921 NAKH920101 0.920 KUMS000102 0.908 - FUKS010109 0.901 KUMS000101 0.871 NAKH920104 0.865 - NAKH920103 0.863 NAKH900102 0.860 NAKH920107 0.857 - CEDJ970103 0.854 CEDJ970105 0.852 NAKH920102 0.834 - NAKH900109 0.821 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.9 4.9 4.0 5.5 1.9 4.4 7.1 7.1 2.1 5.2 - 8.6 6.7 2.4 3.9 5.3 6.6 5.3 1.2 3.1 6.8 -// -H CEDJ970105 -D Composition of amino acids in nuclear proteins (percent) (Cedano et al., - 1997) -R PMID:9067612 -A Cedano, J., Aloy, P., Perez-Pons, J.A. and Querol, E. -T Relation between amino acid composition and cellular location of proteins -J J. Mol. Biol. 266, 594-600 (1997) -C NAKH920101 0.942 NAKH920106 0.930 NAKH900102 0.903 - NAKH900101 0.860 CEDJ970104 0.852 NAKH920102 0.843 - DAYM780101 0.839 CEDJ970102 0.835 JOND920101 0.834 - JUNJ780101 0.803 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.3 8.7 3.7 4.7 1.6 4.7 6.5 6.3 2.1 3.7 - 7.4 7.9 2.3 2.7 6.9 8.8 5.1 0.7 2.4 5.3 -// -H FUKS010101 -D Surface composition of amino acids in intracellular proteins of thermophiles - (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C FUKS010102 0.932 FUKS010104 0.885 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 4.47 8.48 3.89 7.05 0.29 2.87 16.56 8.29 1.74 3.30 - 5.06 12.98 1.71 2.32 5.41 4.27 3.83 0.67 2.75 4.05 -// -H FUKS010102 -D Surface composition of amino acids in intracellular proteins of mesophiles - (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C FUKS010104 0.938 FUKS010101 0.932 VINM940101 0.876 - PARS000102 0.868 HOPT810101 0.854 LEVM760101 0.837 - WOEC730101 0.820 MIYS990104 0.818 MIYS990105 0.813 - VINM940103 0.809 VINM940102 0.808 MIYS990103 0.803 - WERD780101 -0.801 FAUJ830101 -0.805 WIMW960101 -0.808 - BIOV880102 -0.810 RADA880108 -0.815 BIOV880101 -0.820 - CASG920101 -0.831 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.77 6.87 5.50 8.57 0.31 5.24 12.93 7.95 2.80 2.72 - 4.43 10.20 1.87 1.92 4.79 5.41 5.36 0.54 2.26 3.57 -// -H FUKS010103 -D Surface composition of amino acids in extracellular proteins of mesophiles - (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C GUYH850103 0.874 VINM940102 0.864 GUYH850102 0.848 - KARP850102 0.835 KARP850101 0.834 MEIH800101 0.832 - VINM940101 0.827 MIYS990104 0.822 RACS770101 0.819 - CORJ870108 0.818 FASG890101 0.812 MIYS990103 0.805 - PONP800101 -0.801 CIDH920103 -0.804 PLIV810101 -0.805 - CORJ870107 -0.805 ZHOH040103 -0.808 ROSG850102 -0.808 - BASU050102 -0.809 ROSG850101 -0.819 CIDH920105 -0.821 - CIDH920102 -0.826 MIYS850101 -0.828 CORJ870105 -0.829 - LEVM760106 -0.829 BIOV880101 -0.840 RADA880108 -0.840 - CORJ870106 -0.846 NISK860101 -0.850 CIDH920101 -0.854 - ROBB790101 -0.865 WERD780101 -0.869 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.43 4.51 9.12 8.71 0.42 5.42 5.86 9.40 1.49 1.76 - 2.74 9.67 0.60 1.18 5.60 9.60 8.95 1.18 3.26 3.10 -// -H FUKS010104 -D Surface composition of amino acids in nuclear proteins (percent) - (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C FUKS010102 0.938 VINM940101 0.919 FUKS010101 0.885 - HOPT810101 0.884 MIYS990105 0.870 LEVM760101 0.869 - MIYS990104 0.862 KRIW790102 0.853 PARS000102 0.850 - OOBM770103 0.849 MIYS990103 0.845 FASG890101 0.844 - VINM940103 0.838 KRIW790101 0.828 MEIH800102 0.822 - KARP850102 0.822 GUYH850102 0.819 NAKH920106 0.818 - KIDA850101 0.814 VINM940102 0.807 NADH010102 -0.801 - ZHOH040103 -0.803 NADH010103 -0.805 CORJ870101 -0.814 - WERD780101 -0.832 NISK860101 -0.832 FAUJ830101 -0.832 - RADA880108 -0.851 BIOV880101 -0.873 ROSG850102 -0.877 - BIOV880102 -0.887 CASG920101 -0.892 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 5.22 7.30 6.06 7.91 1.01 6.00 10.66 5.81 2.27 2.36 - 4.52 12.68 1.85 1.68 5.70 6.99 5.16 0.56 2.16 4.10 -// -H FUKS010105 -D Interior composition of amino acids in intracellular proteins of thermophiles - (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C FUKS010106 0.982 NAKH920105 0.929 FUKS010108 0.923 - NAKH900111 0.911 CEDJ970103 0.901 NAKH900109 0.892 - FUKS010107 0.891 NAKH920108 0.890 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.88 3.71 2.35 3.50 1.12 1.66 4.02 6.88 1.88 10.08 - 13.21 3.39 2.44 5.27 3.80 4.10 4.98 1.11 4.07 12.53 -// -H FUKS010106 -D Interior composition of amino acids in intracellular proteins of mesophiles - (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C FUKS010105 0.982 NAKH900111 0.933 NAKH920105 0.931 - NAKH900109 0.927 FUKS010108 0.927 FUKS010107 0.924 - CEDJ970103 0.919 NAKH920108 0.898 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 10.98 3.26 2.85 3.37 1.47 2.30 3.51 7.48 2.20 9.74 - 12.79 2.54 3.10 4.97 3.42 4.93 5.55 1.28 3.55 10.69 -// -H FUKS010107 -D Interior composition of amino acids in extracellular proteins of mesophiles - (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C FUKS010106 0.924 NAKH900109 0.903 FUKS010105 0.891 - NAKH900111 0.867 CEDJ970103 0.860 NAKH920105 0.833 - FUKS010108 0.832 NAKH920108 0.817 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.95 3.05 4.84 4.46 1.30 2.64 2.58 8.87 1.99 7.73 - 9.66 2.00 2.45 5.41 3.20 6.03 5.62 2.60 6.15 9.46 -// -H FUKS010108 -D Interior composition of amino acids in nuclear proteins (percent) - (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C NAKH920105 0.968 NAKH900111 0.954 NAKH920108 0.948 - FUKS010106 0.927 FUKS010105 0.923 CEDJ970103 0.897 - NAKH900112 0.896 NAKH900109 0.872 NAKH900103 0.864 - NAKH900105 0.846 FUKS010107 0.832 NAKH900107 0.830 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.26 2.80 2.54 2.80 2.67 2.86 2.67 5.62 1.98 8.95 - 16.46 1.89 2.67 7.32 3.30 6.00 5.00 2.01 3.96 10.24 -// -H FUKS010109 -D Entire chain composition of amino acids in intracellular proteins of - thermophiles (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C FUKS010110 0.936 CEDJ970104 0.901 KUMS000101 0.894 - FUKS010112 0.890 NAKH900101 0.868 JOND920101 0.861 - KUMS000102 0.850 CEDJ970102 0.839 NAKH920106 0.814 - DAYM780101 0.801 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 7.39 5.91 3.06 5.14 0.74 2.22 9.80 7.53 1.82 6.96 - 9.45 7.81 2.10 3.91 4.54 4.18 4.45 0.90 3.46 8.62 -// -H FUKS010110 -D Entire chain composition of amino acids in intracellular proteins of - mesophiles (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C CEDJ970104 0.956 KUMS000101 0.947 NAKH900101 0.946 - JOND920101 0.944 KUMS000102 0.943 FUKS010109 0.936 - CEDJ970102 0.921 JUKT750101 0.908 FUKS010112 0.904 - DAYM780101 0.897 CEDJ970101 0.889 JUNJ780101 0.868 - KUMS000104 0.861 NAKH900109 0.853 CEDJ970103 0.848 - NAKH920101 0.833 KUMS000103 0.827 NAKH920106 0.824 - NAKH920107 0.810 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 9.07 4.90 4.05 5.73 0.95 3.63 7.77 7.69 2.47 6.56 - 9.00 6.01 2.54 3.59 4.04 5.15 5.46 0.95 2.96 7.47 -// -H FUKS010111 -D Entire chain composition of amino acids in extracellular proteins of - mesophiles (percent) (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C JUKT750101 0.927 JUNJ780101 0.906 KUMS000102 0.898 - DAYM780101 0.882 CEDJ970101 0.878 NAKH920107 0.841 - JOND920101 0.832 KUMS000101 0.826 CEDJ970102 0.819 - NAKH900101 0.812 MCMT640101 -0.806 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 8.82 3.71 6.77 6.38 0.90 3.89 4.05 9.11 1.77 5.05 - 6.54 5.45 1.62 3.51 4.28 7.64 7.12 1.96 4.85 6.60 -// -H FUKS010112 -D Entire chain compositino of amino acids in nuclear proteins (percent) - (Fukuchi-Nishikawa, 2001) -R PMID:11399062 -A Fukuchi, S. and Nishikawa, K. -T Protein surface amino acid compositions distinctively differ between - thermophilic and mesophilic bacteria -J J. Mol. Biol. 309, 835-843 (2001) -C CEDJ970104 0.956 NAKH900101 0.948 CEDJ970102 0.946 - JOND920101 0.943 NAKH920106 0.921 FUKS010110 0.904 - FUKS010109 0.890 NAKH920104 0.882 CEDJ970101 0.882 - JUKT750101 0.875 NAKH920101 0.856 DAYM780101 0.856 - CEDJ970103 0.850 NAKH920103 0.842 JUNJ780101 0.836 - NAKH920107 0.824 KUMS000102 0.819 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.65 5.17 4.40 5.50 1.79 4.52 6.89 5.72 2.13 5.47 - 10.15 7.59 2.24 4.34 4.56 6.52 5.08 1.24 3.01 7.00 -// -H AVBF000101 -D Screening coefficients gamma, local (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C QIAN880120 0.876 PTIO830102 0.861 KANM800102 0.859 - QIAN880119 0.859 LIFS790101 0.857 QIAN880121 0.855 - CHAM830103 0.843 ROBB760106 0.834 LEVM780105 0.824 - PALJ810104 0.818 PALJ810110 0.816 PRAM900103 0.815 - LEVM780102 0.815 LIFS790103 0.814 AVBF000102 0.805 - LEVM780106 -0.805 GEIM800111 -0.806 QIAN880133 -0.807 - QIAN880132 -0.809 KIMC930101 -0.814 MUNV940104 -0.821 - QIAN880134 -0.822 GEIM800110 -0.825 MUNV940103 -0.917 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.163 0.220 0.124 0.212 0.316 0.274 0.212 0.080 0.315 0.474 - 0.315 0.255 0.356 0.410 NA 0.290 0.412 0.325 0.354 0.515 -// -H AVBF000102 -D Screening coefficients gamma, non-local (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C FAUJ880102 0.881 LEVM760103 0.816 AVBF000101 0.805 - FAUJ880105 0.802 RACS820110 -0.801 CHAM830101 -0.803 - PALJ810105 -0.815 ISOY800103 -0.821 QIAN880133 -0.823 - LEVM780103 -0.834 PRAM900104 -0.834 QIAN880132 -0.849 - LEVM780106 -0.860 KIMC930101 -0.900 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.236 0.233 0.189 0.168 0.259 0.314 0.306 -0.170 0.256 0.391 - 0.293 0.231 0.367 0.328 NA 0.202 0.308 0.197 0.223 0.436 -// -H AVBF000103 -D Slopes tripeptide, FDPB VFF neutral (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C AVBF000105 0.965 AVBF000106 0.897 AVBF000107 0.875 - FAUJ880107 0.873 AVBF000108 0.868 AVBF000104 0.865 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.490 -0.429 -0.387 -0.375 -0.352 -0.422 -0.382 -0.647 -0.357 -0.268 - -0.450 -0.409 -0.375 -0.309 NA -0.426 -0.240 -0.325 -0.288 -0.220 -// -H AVBF000104 -D Slopes tripeptides, LD VFF neutral (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C ONEK900102 0.919 GEOR030109 0.907 FINA910102 0.901 - AVBF000103 0.865 AVBF000107 0.839 AVBF000108 0.819 - BLAM930101 -0.872 ONEK900101 -0.899 BUNA790101 -0.922 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.871 -0.727 -0.741 -0.737 -0.666 -0.728 -0.773 -0.822 -0.685 -0.617 - -0.798 -0.715 -0.717 -0.649 NA -0.679 -0.629 -0.669 -0.655 -0.599 -// -H AVBF000105 -D Slopes tripeptide, FDPB VFF noside (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C AVBF000103 0.965 AVBF000106 0.939 FAUJ880107 0.931 - AVBF000107 0.879 AVBF000108 0.816 YANJ020101 0.807 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.393 -0.317 -0.268 -0.247 -0.222 -0.291 -0.260 -0.570 -0.244 -0.144 - -0.281 -0.294 -0.274 -0.189 NA -0.280 -0.152 -0.206 -0.155 -0.080 -// -H AVBF000106 -D Slopes tripeptide FDPB VFF all (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C AVBF000105 0.939 AVBF000103 0.897 FAUJ880107 0.853 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.378 -0.369 -0.245 -0.113 -0.206 -0.290 -0.165 -0.560 -0.295 -0.134 - -0.266 -0.335 -0.260 -0.187 NA -0.251 -0.093 -0.188 -0.147 -0.084 -// -H AVBF000107 -D Slopes tripeptide FDPB PARSE neutral (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C FAUJ880107 0.884 AVBF000105 0.879 AVBF000103 0.875 - AVBF000104 0.839 AVBF000108 0.832 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.729 -0.535 -0.597 -0.545 -0.408 -0.492 -0.532 -0.860 -0.519 -0.361 - -0.462 -0.508 -0.518 -0.454 NA -0.278 -0.367 -0.455 -0.439 -0.323 -// -H AVBF000108 -D Slopes dekapeptide, FDPB VFF neutral (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C AVBF000103 0.868 AVBF000107 0.832 AVBF000104 0.819 - AVBF000105 0.816 FAUJ880107 0.802 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.623 -0.567 -0.619 -0.626 -0.571 -0.559 -0.572 -0.679 -0.508 -0.199 - -0.527 -0.581 -0.571 -0.461 NA -0.458 -0.233 -0.327 -0.451 -0.263 -// -H AVBF000109 -D Slopes proteins, FDPB VFF neutral (Avbelj, 2000) -R PMID:10903873 -A Avbelj, F. -T Amino acid conformational preferences and solvation of polar backbone atoms - in peptides and proteins -J J. Mol. Biol. 300, 1335-1359 (2000) (Pro missing) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.376 -0.280 -0.403 -0.405 -0.441 -0.362 -0.362 -0.392 -0.345 -0.194 - -0.317 -0.412 -0.312 -0.237 NA -0.374 -0.243 -0.111 -0.171 -0.355 -// -H YANJ020101 -D Side-chain conformation by gaussian evolutionary method (Yang et al., 2002) -R PMID:12142444 -A Yang, J.M., Tsai, C.H., Hwang, M.J., Tsai, H.K., Hwang, J.K. and Kao, C.Y. -T GEM: a Gaussian Evolutionary Method for predicting protein side-chain - conformations -J Protein Sci. 11, 1897-1907 (2002) (Gly Ala missing) -C AVBF000105 0.807 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - NA 0.62 0.76 0.66 0.83 0.59 0.73 NA 0.92 0.88 - 0.89 0.77 0.77 0.92 0.94 0.58 0.73 0.86 0.93 0.88 -// -H MITS020101 -D Amphiphilicity index (Mitaku et al., 2002) -R PMID:12016058 -A Mitaku, S., Hirokawa, T. and Tsuji, T. -T Amphiphilicity index of polar amino acids as an aid in the characterization - of amino acid preference at membrane-water interfaces -J Bioinformatics. 18, 608-616 (2002) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0 2.45 0 0 0 1.25 1.27 0 1.45 0 - 0 3.67 0 0 0 0 0 6.93 5.06 0 -// -H TSAJ990101 -D Volumes including the crystallographic waters using the ProtOr (Tsai et al., - 1999) -R PMID:10388571 -A Tsai, J., Taylor, R., Chothia, C. and Gerstein, M. -T The packing density in proteins: standard radii and volumes -J J. Mol. Biol. 290, 253-266 (1999) (Cyh 112.8) -C TSAJ990102 1.000 CHOC750101 0.995 BIGC670101 0.993 - GOLD730102 0.993 KRIW790103 0.988 FAUJ880103 0.983 - GRAR740103 0.979 CHAM820101 0.977 CHOC760101 0.968 - HARY940101 0.964 PONJ960101 0.960 FASG760101 0.935 - LEVM760105 0.922 ROSG850101 0.914 LEVM760102 0.910 - DAWD720101 0.903 CHAM830106 0.889 FAUJ880106 0.879 - ZHOH040102 0.874 LEVM760107 0.866 RADA880106 0.861 - LEVM760106 0.849 RADA880103 -0.875 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 89.3 190.3 122.4 114.4 102.5 146.9 138.8 63.8 157.5 163.0 - 163.1 165.1 165.8 190.8 121.6 94.2 119.6 226.4 194.6 138.2 -// -H TSAJ990102 -D Volumes not including the crystallographic waters using the ProtOr (Tsai et - al., 1999) -R PMID:10388571 -A Tsai, J., Taylor, R., Chothia, C. and Gerstein, M. -T The packing density in proteins: standard radii and volumes -J J. Mol. Biol. 290, 253-266 (1999) (Cyh 113.7) -C TSAJ990101 1.000 CHOC750101 0.996 BIGC670101 0.992 - GOLD730102 0.991 KRIW790103 0.987 FAUJ880103 0.985 - GRAR740103 0.978 CHAM820101 0.978 CHOC760101 0.972 - HARY940101 0.965 PONJ960101 0.962 FASG760101 0.940 - LEVM760105 0.928 LEVM760102 0.918 ROSG850101 0.909 - DAWD720101 0.905 CHAM830106 0.896 FAUJ880106 0.882 - ZHOH040102 0.867 RADA880106 0.864 LEVM760107 0.861 - LEVM760106 0.841 RADA880103 -0.879 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 90.0 194.0 124.7 117.3 103.3 149.4 142.2 64.9 160.0 163.9 - 164.0 167.3 167.0 191.9 122.9 95.4 121.5 228.2 197.0 139.0 -// -H COSI940101 -D Electron-ion interaction potential values (Cosic, 1994) -R PMID:7851912 -A Cosic, I. -T Macromolecular bioactivity: is it resonant interaction between - macromolecules?--Theory and applications -J IEEE Trans Biomed Eng. 41, 1101-1114 (1994) (values are cited from Protein - Eng. 15:193-203) -C VELV850101 1.000 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.0373 0.0959 0.0036 0.1263 0.0829 0.0761 0.0058 0.0050 0.0242 0.0000 - 0.0000 0.0371 0.0823 0.0946 0.0198 0.0829 0.0941 0.0548 0.0516 0.0057 -// -H PONP930101 -D Hydrophobicity scales (Ponnuswamy, 1993) -R PMID:8419986 -A Ponnuswamy, P.K. -T Hydrophobic characteristics of folded proteins -J Prog Biophys Mol Biol. 59, 57-103 (1993) -C MANP780101 0.967 NISK860101 0.961 CORJ870101 0.960 - NISK800101 0.956 PONP800101 0.945 PONP800108 0.944 - PONP800102 0.934 BASU050103 0.933 BASU050101 0.932 - CIDH920104 0.930 ROSG850102 0.928 CORJ870107 0.923 - CORJ870103 0.920 BASU050102 0.913 BIOV880101 0.912 - CASG920101 0.911 MIYS850101 0.910 PONP800103 0.909 - LIFS790101 0.908 CORJ870104 0.901 CIDH920103 0.899 - NADH010103 0.898 ZHOH040103 0.896 WERD780101 0.895 - NADH010104 0.895 QIAN880121 0.893 RADA880108 0.891 - CIDH920105 0.891 CORJ870106 0.889 NADH010102 0.880 - QIAN880120 0.879 PTIO830102 0.879 CORJ870105 0.878 - BIOV880102 0.877 CHOP780202 0.867 ROBB760106 0.866 - KANM800102 0.866 MEIH800103 0.863 ROBB790101 0.858 - PALJ810104 0.857 BAEK050101 0.856 PONP800107 0.851 - JURD980101 0.849 KYTJ820101 0.844 FAUJ830101 0.843 - NADH010105 0.839 GEIM800107 0.838 QIAN880122 0.837 - QIAN880119 0.836 SWER830101 0.835 DESM900102 0.834 - LIFS790102 0.833 KANM800104 0.833 CORJ870102 0.832 - ROBB760105 0.829 JANJ780102 0.825 CIDH920102 0.820 - PLIV810101 0.819 JANJ790101 0.816 CHOC760103 0.816 - NADH010101 0.813 DESM900101 0.807 GUOD860101 0.802 - GUYH850101 -0.817 VINM940103 -0.818 PUNT030101 -0.820 - KRIW790102 -0.821 PARJ860101 -0.846 PARS000101 -0.849 - GUYH850103 -0.858 MUNV940103 -0.864 VINM940102 -0.869 - RACS770102 -0.871 GRAR740102 -0.872 PUNT030102 -0.872 - MEIH800102 -0.881 RACS770101 -0.886 KARP850102 -0.893 - GUYH850102 -0.897 FASG890101 -0.907 KRIW790101 -0.909 - CORJ870108 -0.912 VINM940101 -0.913 OOBM770103 -0.914 - MIYS990101 -0.916 MEIH800101 -0.916 MIYS990102 -0.919 - MIYS990105 -0.936 MIYS990104 -0.949 MIYS990103 -0.951 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.85 0.20 -0.48 -1.10 2.10 -0.42 -0.79 0 0.22 3.14 - 1.99 -1.19 1.42 1.69 -1.14 -0.52 -0.08 1.76 1.37 2.53 -// -H WILM950101 -D Hydrophobicity coefficient in RP-HPLC, C18 with 0.1%TFA/MeCN/H2O (Wilce et - al. 1995) -R -A Wilce, M.C., Aguilar, M.I. and Hearn, M.T. -T Physicochemical basis of amino acid hydrophobicity scales: evaluation of four - new scales of amino acid hydrophobicity coefficients derived from RP-HPLC of - peptides -J Anal Chem. 67, 1210-1219 (1995) -C GUOD860101 0.893 COWR900101 0.860 MEEJ810102 0.849 - VENT840101 0.840 WILM950102 0.838 BLAS910101 0.810 - MIYS990102 -0.822 MIYS990101 -0.822 BULH740101 -0.845 - WOLS870101 -0.851 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.06 -0.85 0.25 -0.20 0.49 0.31 -0.10 0.21 -2.24 3.48 - 3.50 -1.62 0.21 4.80 0.71 -0.62 0.65 2.29 1.89 1.59 -// -H WILM950102 -D Hydrophobicity coefficient in RP-HPLC, C8 with 0.1%TFA/MeCN/H2O (Wilce et al. - 1995) -R -A Wilce, M.C., Aguilar, M.I. and Hearn, M.T. -T Physicochemical basis of amino acid hydrophobicity scales: evaluation of four - new scales of amino acid hydrophobicity coefficients derived from RP-HPLC of - peptides -J Anal Chem. 67, 1210-1219 (1995) -C WILM950101 0.838 MEEJ810102 0.809 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.62 1.26 -1.27 -2.84 0.73 -1.69 -0.45 -1.15 -0.74 4.38 - 6.57 -2.78 -3.12 9.14 -0.12 -1.39 1.81 5.91 1.39 2.30 -// -H WILM950103 -D Hydrophobicity coefficient in RP-HPLC, C4 with 0.1%TFA/MeCN/H2O (Wilce et al. - 1995) -R -A Wilce, M.C., Aguilar, M.I. and Hearn, M.T. -T Physicochemical basis of amino acid hydrophobicity scales: evaluation of four - new scales of amino acid hydrophobicity coefficients derived from RP-HPLC of - peptides -J Anal Chem. 67, 1210-1219 (1995) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -1.64 -3.28 0.83 0.70 9.30 -0.04 1.18 -1.85 7.17 3.02 - 0.83 -2.36 4.26 -1.36 3.12 1.59 2.31 2.61 2.37 0.52 -// -H WILM950104 -D Hydrophobicity coefficient in RP-HPLC, C18 with 0.1%TFA/2-PrOH/MeCN/H2O - (Wilce et al. 1995) -R -A Wilce, M.C., Aguilar, M.I. and Hearn, M.T. -T Physicochemical basis of amino acid hydrophobicity scales: evaluation of four - new scales of amino acid hydrophobicity coefficients derived from RP-HPLC of - peptides -J Anal Chem. 67, 1210-1219 (1995) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -2.34 1.60 2.81 -0.48 5.03 0.16 1.30 -1.06 -3.00 7.26 - 1.09 1.56 0.62 2.57 -0.15 1.93 0.19 3.59 -2.58 2.06 -// -H KUHL950101 -D Hydrophilicity scale (Kuhn et al., 1995) -R PMID:8749849 -A Kuhn, L.A., Swanson, C.A., Pique, M.E., Tainer, J.A. and Getzoff, E.D. -T Atomic and residue hydrophilicity in the context of folded protein structures -J Proteins 23, 536-547 (1995) -C ROSM880101 0.962 ROSM880102 0.922 FAUJ880110 0.922 - PRAM900101 0.908 ENGD860101 0.908 KIDA850101 0.882 - OOBM770101 0.876 GRAR740102 0.865 VHEG790101 0.858 - GUYH850105 0.850 PUNT030101 0.844 PUNT030102 0.841 - JANJ780101 0.839 WOEC730101 0.837 GUYH850104 0.835 - GUYH850101 0.827 FAUJ880109 0.827 JANJ780103 0.826 - MEIH800102 0.822 FASG890101 0.821 LEVM760101 0.807 - BASU050103 -0.804 NADH010103 -0.807 BIOV880102 -0.809 - MEIH800103 -0.809 WARP780101 -0.811 JANJ790101 -0.811 - CIDH920104 -0.822 BIOV880101 -0.834 EISD860101 -0.835 - NADH010102 -0.836 RADA880108 -0.839 JANJ790102 -0.844 - RADA880104 -0.847 OLSK800101 -0.849 RADA880107 -0.857 - FAUJ830101 -0.863 DESM900102 -0.863 JACR890101 -0.864 - CHOC760103 -0.865 KYTJ820101 -0.883 JURD980101 -0.884 - JANJ780102 -0.890 EISD860103 -0.894 BLAS910101 -0.894 - ROSM880105 -0.896 WOLR790101 -0.898 WOLR810101 -0.898 - NADH010101 -0.898 EISD840101 -0.907 RADA880101 -0.950 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.78 1.58 1.20 1.35 0.55 1.19 1.45 0.68 0.99 0.47 - 0.56 1.10 0.66 0.47 0.69 1.00 1.05 0.70 1.00 0.51 -// -H GUOD860101 -D Retention coefficient at pH 2 (Guo et al., 1986) -R -A Guo, D., Mant, C.T., Taneja, A.K., Parker, J.M. and Hodges, R.S. -T Prediction of peptide retention times in reversed-phase high-performance - liquid chromatography; I. determination of retention coefficients of amino - acid residues of model synthetic peptides -J J Chromatogr. 359, 499-517 (1986) -C MEEJ810102 0.949 PLIV810101 0.943 MEEJ810101 0.931 - COWR900101 0.920 MIYS850101 0.908 FAUJ830101 0.900 - WILM950101 0.893 ZHOH040103 0.889 ZHOH040101 0.884 - NOZY710101 0.884 BASU050102 0.868 ROSM880104 0.868 - BLAS910101 0.866 MEEJ800102 0.866 CIDH920104 0.860 - CIDH920105 0.858 PONP800107 0.854 SWER830101 0.853 - CORJ870102 0.852 ZIMJ680105 0.850 VENT840101 0.848 - BASU050101 0.847 CIDH920103 0.845 NISK860101 0.840 - EISD860101 0.839 BIOV880101 0.839 BASU050103 0.833 - BROC820101 0.832 CIDH920102 0.831 RADA880102 0.829 - ROSM880105 0.826 BIOV880102 0.817 MANP780101 0.815 - ROBB790101 0.815 RADA880108 0.812 ZHOH040102 0.812 - NAKH900110 0.805 NADH010104 0.803 NADH010103 0.803 - PONP930101 0.802 FASG890101 -0.801 RACS770101 -0.805 - PUNT030101 -0.810 PUNT030102 -0.813 GUYH850103 -0.819 - MIYS990103 -0.828 KIDA850101 -0.828 ROSM880102 -0.829 - MEIH800101 -0.833 OOBM770103 -0.838 MIYS990105 -0.846 - MIYS990104 -0.846 GRAR740102 -0.855 MIYS990102 -0.916 - MIYS990101 -0.917 BULH740101 -0.922 PARJ860101 -0.925 - WOLS870101 -0.955 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 25 -7 -7 2 32 0 14 -2 -26 91 - 100 -26 68 100 25 -2 7 109 56 62 -// -H JURD980101 -D Modified Kyte-Doolittle hydrophobicity scale (Juretic et al., 1998) -R -A Juretic, D., Lucic, B., Zucic, D. and Trinajstic, N. -T Protein transmembrane structure: recognition and prediction by using - hydrophobicity scales through preference functions -J Theoretical and Computational Chemistry, 5, 405-445 (1998) -C KYTJ820101 0.996 CHOC760103 0.967 OLSK800101 0.943 - NADH010102 0.931 JANJ780102 0.928 NADH010101 0.925 - EISD860103 0.901 DESM900102 0.900 NADH010103 0.900 - EISD840101 0.895 RADA880101 0.893 MANP780101 0.887 - WOLR810101 0.881 PONP800103 0.879 JANJ790102 0.879 - NADH010104 0.873 BASU050103 0.871 CHOC760104 0.870 - PONP800102 0.869 JANJ790101 0.868 WOLR790101 0.864 - MEIH800103 0.861 PONP800101 0.858 NAKH920108 0.858 - RADA880108 0.857 PONP800108 0.856 COWR900101 0.855 - ROSG850102 0.854 CORJ870101 0.849 PONP930101 0.849 - RADA880107 0.842 BLAS910101 0.841 BIOV880101 0.840 - MIYS850101 0.837 FAUJ830101 0.833 CIDH920104 0.832 - BASU050101 0.830 DESM900101 0.829 WARP780101 0.827 - KANM800104 0.826 LIFS790102 0.824 RADA880104 0.824 - NADH010105 0.821 ROSM880105 0.818 NISK800101 0.816 - CORJ870104 0.812 NISK860101 0.808 CORJ870103 0.808 - BIOV880102 0.805 CORJ870107 0.804 ARGP820102 0.802 - ARGP820103 0.800 CORJ870108 -0.806 MIYS990104 -0.813 - VHEG790101 -0.814 KRIW790101 -0.824 MIYS990105 -0.829 - MIYS990103 -0.845 CHOC760102 -0.851 ROSM880101 -0.851 - MIYS990101 -0.852 MONM990101 -0.853 JANJ780103 -0.853 - MIYS990102 -0.853 RACS770102 -0.855 FASG890101 -0.857 - ENGD860101 -0.861 PRAM900101 -0.862 JANJ780101 -0.862 - GUYH850101 -0.864 GRAR740102 -0.864 PUNT030102 -0.869 - MEIH800102 -0.879 GUYH850104 -0.880 KUHL950101 -0.884 - PUNT030101 -0.884 ROSM880102 -0.894 GUYH850105 -0.900 - OOBM770101 -0.903 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.10 -5.10 -3.50 -3.60 2.50 -3.68 -3.20 -0.64 -3.20 4.50 - 3.80 -4.11 1.90 2.80 -1.90 -0.50 -0.70 -0.46 -1.3 4.2 -// -H BASU050101 -D Interactivity scale obtained from the contact matrix (Bastolla et al., 2005) -R PMID:15523667 -A Bastolla, U., Porto M., Roman H.E. and Vendruscolo M. -T Principal eigenvector of contact matrices and hydrophobicity profiles in - prote -J Proteins 58, 22-30 (2005) -C BASU050103 0.965 BASU050102 0.946 PONP930101 0.932 - NISK860101 0.926 MANP780101 0.925 SWER830101 0.922 - CORJ870102 0.921 CIDH920104 0.917 ZHOH040103 0.917 - CORJ870107 0.913 CORJ870104 0.910 CIDH920105 0.907 - PTIO830102 0.903 CIDH920103 0.894 PONP800108 0.894 - CORJ870106 0.891 CORJ870103 0.890 CORJ870105 0.888 - MIYS850101 0.888 LIFS790101 0.886 CHOP780202 0.883 - BIOV880101 0.883 PONP800101 0.882 PLIV810101 0.879 - NISK800101 0.876 PALJ810104 0.873 RADA880108 0.867 - PONP800102 0.864 CORJ870101 0.863 CIDH920102 0.858 - VENT840101 0.858 QIAN880120 0.856 KANM800102 0.856 - BLAS910101 0.853 ROBB760105 0.853 FAUJ830101 0.852 - ROBB760106 0.851 ZHOH040101 0.851 KANM800104 0.850 - ROSG850102 0.849 GUOD860101 0.847 GEIM800107 0.847 - ROBB790101 0.845 WERD780101 0.843 PONP800103 0.842 - NADH010103 0.839 CIDH920101 0.839 NADH010104 0.837 - ROSM880104 0.830 JURD980101 0.830 QIAN880121 0.828 - ROSM880105 0.828 KYTJ820101 0.826 PONP800107 0.825 - BIOV880102 0.812 NADH010102 0.812 NADH010105 0.811 - MEEJ810101 0.810 CASG920101 0.806 QIAN880119 0.805 - GUYH850101 -0.807 WOEC730101 -0.811 RACS770102 -0.813 - GUYH850102 -0.815 KRIW790101 -0.821 PUNT030101 -0.822 - MEIH800102 -0.825 PARS000101 -0.835 MUNV940103 -0.846 - OOBM770103 -0.850 RACS770101 -0.850 GUYH850103 -0.852 - BULH740101 -0.854 FASG890101 -0.856 VINM940101 -0.867 - WOLS870101 -0.869 PUNT030102 -0.873 VINM940102 -0.874 - MEIH800101 -0.887 GRAR740102 -0.889 PARJ860101 -0.897 - MIYS990105 -0.900 CORJ870108 -0.916 MIYS990103 -0.918 - MIYS990104 -0.918 MIYS990102 -0.945 MIYS990101 -0.945 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.1366 0.0363 -0.0345 -0.1233 0.2745 0.0325 -0.0484 -0.0464 0.0549 0.4172 - 0.4251 -0.0101 0.1747 0.4076 0.0019 -0.0433 0.0589 0.2362 0.3167 0.4084 -// -H BASU050102 -D Interactivity scale obtained by maximizing the mean of correlation - coefficient over single-domain globular proteins (Bastolla et al., 2005) -R PMID:15523667 -A Bastolla, U., Porto M., Roman H.E. and Vendruscolo M. -T Principal eigenvector of contact matrices and hydrophobicity profiles in - prote -J Proteins 58, 22-30 (2005) -C ZHOH040103 0.978 NISK860101 0.951 ZHOH040101 0.948 - BASU050101 0.946 CIDH920104 0.934 CIDH920105 0.931 - BASU050103 0.925 WERD780101 0.920 CIDH920102 0.914 - PONP930101 0.913 BIOV880101 0.909 MIYS850101 0.904 - BAEK050101 0.898 MEEJ810101 0.898 ROBB790101 0.897 - CIDH920103 0.887 FAUJ830101 0.885 NISK800101 0.884 - CORJ870102 0.881 SWER830101 0.880 PONP800108 0.880 - MANP780101 0.879 NADH010104 0.879 PLIV810101 0.876 - CASG920101 0.873 MEEJ810102 0.871 ROSG850102 0.870 - RADA880108 0.870 NADH010105 0.869 GUOD860101 0.868 - NADH010103 0.862 LIFS790101 0.861 CORJ870106 0.859 - CIDH920101 0.858 CORJ870101 0.855 CORJ870107 0.855 - VENT840101 0.851 PONP800101 0.848 PTIO830102 0.848 - NOZY710101 0.847 ROSM880104 0.846 CORJ870103 0.845 - PONP800102 0.843 CHOP780202 0.841 BIOV880102 0.838 - CORJ870104 0.838 QIAN880120 0.837 CORJ870105 0.834 - PONP800103 0.828 PALJ810104 0.826 LIFS790103 0.826 - QIAN880121 0.825 RADA880102 0.809 ZHOH040102 0.808 - BLAS910101 0.807 LEVM760106 0.805 NADH010102 0.802 - MEIH800103 0.801 GUYH850101 -0.801 RACS770102 -0.807 - FUKS010103 -0.809 MEIH800102 -0.812 KARP850101 -0.819 - KARP850102 -0.825 PUNT030102 -0.832 MUNV940103 -0.839 - BULH740101 -0.845 WOLS870101 -0.849 RACS770101 -0.854 - CORJ870108 -0.855 VINM940103 -0.856 PARS000101 -0.864 - GRAR740102 -0.864 KRIW790101 -0.867 FASG890101 -0.881 - MEIH800101 -0.892 OOBM770103 -0.893 VINM940101 -0.904 - GUYH850103 -0.904 PARJ860101 -0.908 GUYH850102 -0.911 - MIYS990105 -0.919 MIYS990103 -0.924 MIYS990101 -0.935 - MIYS990102 -0.936 VINM940102 -0.937 MIYS990104 -0.942 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.0728 0.0394 -0.0390 -0.0552 0.3557 0.0126 -0.0295 -0.0589 0.0874 0.3805 - 0.3819 -0.0053 0.1613 0.4201 -0.0492 -0.0282 0.0239 0.4114 0.3113 0.2947 -// -H BASU050103 -D Interactivity scale obtained by maximizing the mean of correlation - coefficient over pairs of sequences sharing the TIM barrel fold (Bastolla et - al., 2005) -R PMID:15523667 -A Bastolla, U., Porto M., Roman H.E. and Vendruscolo M. -T Principal eigenvector of contact matrices and hydrophobicity profiles in - prote -J Proteins 58, 22-30 (2005) -C BASU050101 0.965 CIDH920104 0.941 NISK860101 0.937 - PONP930101 0.933 ZHOH040103 0.927 BIOV880101 0.926 - RADA880108 0.926 BASU050102 0.925 MANP780101 0.923 - PONP800108 0.921 PONP800101 0.915 CIDH920105 0.914 - NADH010103 0.903 FAUJ830101 0.903 ROSG850102 0.903 - PONP800102 0.902 NADH010104 0.899 MIYS850101 0.899 - CORJ870101 0.897 NISK800101 0.896 CIDH920103 0.894 - SWER830101 0.892 CORJ870102 0.889 PTIO830102 0.888 - NADH010102 0.886 CORJ870107 0.883 PALJ810104 0.882 - PLIV810101 0.880 PONP800103 0.879 BLAS910101 0.878 - CORJ870104 0.877 CHOP780202 0.874 JURD980101 0.871 - KANM800102 0.869 BIOV880102 0.868 CORJ870103 0.867 - LIFS790101 0.865 ROSM880105 0.864 KYTJ820101 0.863 - CASG920101 0.860 CORJ870106 0.858 NADH010105 0.857 - WERD780101 0.857 CIDH920102 0.856 NADH010101 0.852 - CORJ870105 0.852 ROBB790101 0.849 KANM800104 0.848 - GEIM800107 0.847 ROBB760106 0.840 ROBB760105 0.839 - NAGK730102 0.837 GUOD860101 0.833 MEIH800103 0.832 - CIDH920101 0.828 QIAN880121 0.828 DESM900102 0.818 - RADA880102 0.815 VENT840101 0.814 ZHOH040101 0.813 - PONP800107 0.812 QIAN880120 0.811 EISD860101 0.809 - RADA880101 0.809 BAEK050101 0.806 EISD840101 0.806 - EISD860103 0.806 CHOC760103 0.805 JANJ780102 0.803 - ROSM880101 -0.804 KUHL950101 -0.804 KARP850102 -0.806 - KIDA850101 -0.806 LEVM760101 -0.808 ROSM880102 -0.814 - VINM940103 -0.814 MUNV940103 -0.814 PARS000101 -0.820 - HOPT810101 -0.830 BULH740101 -0.833 WOEC730101 -0.836 - PUNT030101 -0.844 GUYH850102 -0.845 RACS770101 -0.848 - GUYH850103 -0.854 KRIW790101 -0.860 RACS770102 -0.861 - WOLS870101 -0.866 OOBM770103 -0.866 GUYH850101 -0.871 - PARJ860101 -0.874 MEIH800102 -0.880 VINM940102 -0.880 - CORJ870108 -0.883 PUNT030102 -0.895 VINM940101 -0.902 - MEIH800101 -0.906 GRAR740102 -0.906 FASG890101 -0.915 - MIYS990105 -0.928 MIYS990104 -0.938 MIYS990101 -0.940 - MIYS990102 -0.940 MIYS990103 -0.943 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.1510 -0.0103 0.0381 0.0047 0.3222 0.0246 -0.0639 0.0248 0.1335 0.4238 - 0.3926 -0.0158 0.2160 0.3455 0.0844 0.0040 0.1462 0.2657 0.2998 0.3997 -// -H SUYM030101 -D Linker propensity index (Suyama-Ohara, 2003) -R PMID:12651735 -A Suyama, M. and Ohara, O. -T DomCut: Prediction of inter-domain linker regions in amino acid sequences -J Bioinformatics 19, 673-674 (2003) -C BAEK050101 0.805 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.058 0.000 0.027 0.016 0.447 -0.073 -0.128 0.331 0.195 0.060 - 0.138 -0.112 0.275 0.240 -0.478 -0.177 -0.163 0.564 0.322 -0.052 -// -H PUNT030101 -D Knowledge-based membrane-propensity scale from 1D_Helix in MPtopo databases - (Punta-Maritan, 2003) -R PMID:12471604 -A Punta, M. and Maritan, A. -T A knowledge-based scale for amino acid membrane propensity -J Proteins 50, 114-121 (2003) -C GUYH850101 0.910 MEIH800102 0.901 PUNT030102 0.899 - RACS770102 0.894 ENGD860101 0.889 PRAM900101 0.889 - MIYS990101 0.888 MIYS990102 0.887 ROSM880101 0.884 - MIYS990105 0.876 VHEG790101 0.876 GRAR740102 0.873 - OOBM770101 0.865 MIYS990103 0.864 ROSM880102 0.861 - MEIH800101 0.860 HOPT810101 0.858 GUYH850105 0.858 - MIYS990104 0.857 KIDA850101 0.856 WOLS870101 0.853 - JANJ780103 0.848 CORJ870108 0.845 FASG890101 0.845 - PARJ860101 0.845 KUHL950101 0.844 GUYH850104 0.840 - MONM990101 0.839 LEVM760101 0.835 KRIW790101 0.833 - RACS770103 0.830 WOEC730101 0.825 JANJ780101 0.824 - RACS770101 0.821 KRIW790102 0.811 CHOC760102 0.809 - VINM940101 0.805 KARP850102 0.805 PONP800101 -0.800 - CORJ870103 -0.802 CORJ870104 -0.804 PONP800107 -0.804 - CIDH920105 -0.805 ZHOH040103 -0.809 GUOD860101 -0.810 - ARGP820103 -0.810 CASG920101 -0.811 JACR890101 -0.812 - PONP800103 -0.812 WARP780101 -0.814 CIDH920103 -0.819 - PONP930101 -0.820 WERD780101 -0.821 RADA880102 -0.821 - BASU050101 -0.822 MANP780101 -0.824 CIDH920104 -0.827 - DESM900101 -0.828 EISD860103 -0.829 CORJ870106 -0.833 - CORJ870105 -0.834 CORJ870102 -0.835 OLSK800101 -0.838 - SWER830101 -0.838 NADH010104 -0.843 BASU050103 -0.844 - JANJ790102 -0.846 CORJ870107 -0.848 JANJ780102 -0.848 - NISK860101 -0.854 CHOC760103 -0.859 PLIV810101 -0.860 - NADH010101 -0.862 BLAS910101 -0.865 NADH010103 -0.868 - KYTJ820101 -0.872 FAUJ830101 -0.876 MEIH800103 -0.882 - BIOV880101 -0.883 ROSG850102 -0.883 JURD980101 -0.884 - RADA880108 -0.884 NAKH900110 -0.886 RADA880101 -0.886 - BIOV880102 -0.888 EISD860101 -0.890 MIYS850101 -0.892 - NADH010102 -0.897 DESM900102 -0.903 EISD840101 -0.914 - ROSM880105 -0.922 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.17 0.37 0.18 0.37 -0.06 0.26 0.15 0.01 -0.02 -0.28 - -0.28 0.32 -0.26 -0.41 0.13 0.05 0.02 -0.15 -0.09 -0.17 -// -H PUNT030102 -D Knowledge-based membrane-propensity scale from 3D_Helix in MPtopo databases - (Punta-Maritan, 2003) -R PMID:12471604 -A Punta, M. and Maritan, A. -T A knowledge-based scale for amino acid membrane propensity -J Proteins 50, 114-121 (2003) -C GRAR740102 0.915 PUNT030101 0.899 WOEC730101 0.894 - HOPT810101 0.886 MIYS990102 0.882 MIYS990101 0.881 - MIYS990103 0.881 MIYS990104 0.874 MIYS990105 0.874 - VHEG790101 0.873 ENGD860101 0.870 PRAM900101 0.869 - WOLS870101 0.868 PARJ860101 0.867 ROSM880101 0.864 - FASG890101 0.853 ROSM880102 0.851 VINM940101 0.850 - MEIH800102 0.849 LEVM760101 0.848 OOBM770101 0.845 - KUHL950101 0.841 MONM990101 0.839 MEIH800101 0.837 - GUYH850101 0.836 RACS770102 0.828 OOBM770103 0.828 - KRIW790101 0.826 CORJ870108 0.810 KIDA850101 0.807 - DESM900101 -0.801 CHOP780202 -0.803 KANM800102 -0.803 - LIFS790101 -0.809 CIDH920103 -0.810 CORJ870107 -0.810 - RADA880102 -0.811 GUOD860101 -0.813 CORJ870106 -0.814 - MEIH800103 -0.815 CORJ870105 -0.817 CIDH920105 -0.822 - PONP800101 -0.827 PONP800102 -0.827 JANJ780102 -0.830 - CASG920101 -0.831 BASU050102 -0.832 PONP800103 -0.834 - NAGK730102 -0.836 ZHOH040103 -0.847 NADH010104 -0.851 - EISD860103 -0.853 EISD840101 -0.854 NISK800101 -0.855 - PONP800108 -0.855 CIDH920104 -0.857 PLIV810101 -0.858 - CORJ870101 -0.860 BIOV880102 -0.860 KYTJ820101 -0.862 - NADH010103 -0.865 MIYS850101 -0.868 DESM900102 -0.868 - EISD860101 -0.869 ROSG850102 -0.869 RADA880108 -0.869 - JURD980101 -0.869 PONP930101 -0.872 NADH010101 -0.872 - NADH010102 -0.872 MANP780101 -0.873 BASU050101 -0.873 - BLAS910101 -0.877 BIOV880101 -0.878 RADA880101 -0.881 - NISK860101 -0.885 BASU050103 -0.895 FAUJ830101 -0.908 - ROSM880105 -0.917 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.15 0.32 0.22 0.41 -0.15 0.03 0.30 0.08 0.06 -0.29 - -0.36 0.24 -0.19 -0.22 0.15 0.16 -0.08 -0.28 -0.03 -0.24 -// -H GEOR030101 -D Linker propensity from all dataset (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C GEOR030106 0.938 GEOR030102 0.859 GEOR030103 0.839 - GEOR030104 0.834 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.964 1.143 0.944 0.916 0.778 1.047 1.051 0.835 1.014 0.922 - 1.085 0.944 1.032 1.119 1.299 0.947 1.017 0.895 1 0.955 -// -H GEOR030102 -D Linker propensity from 1-linker dataset (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C GEOR030101 0.859 GEOR030107 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.974 1.129 0.988 0.892 0.972 1.092 1.054 0.845 0.949 0.928 - 1.11 0.946 0.923 1.122 1.362 0.932 1.023 0.879 0.902 0.923 -// -H GEOR030103 -D Linker propensity from 2-linker dataset (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C GEOR030106 0.913 GEOR030101 0.839 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.938 1.137 0.902 0.857 0.6856 0.916 1.139 0.892 1.109 0.986 - 1 0.952 1.077 1.11 1.266 0.956 1.018 0.971 1.157 0.959 -// -H GEOR030104 -D Linker propensity from 3-linker dataset (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C GEOR030106 0.904 GEOR030101 0.834 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.042 1.069 0.828 0.97 0.5 1.111 0.992 0.743 1.034 0.852 - 1.193 0.979 0.998 0.981 1.332 0.984 0.992 0.96 1.12 1.001 -// -H GEOR030105 -D Linker propensity from small dataset (linker length is less than six - residues) (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.065 1.131 0.762 0.836 1.015 0.861 0.736 1.022 0.973 1.189 - 1.192 0.478 1.369 1.368 1.241 1.097 0.822 1.017 0.836 1.14 -// -H GEOR030106 -D Linker propensity from medium dataset (linker length is between six and 14 - residues) (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C GEOR030101 0.938 GEOR030103 0.913 GEOR030104 0.904 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.99 1.132 0.873 0.915 0.644 0.999 1.053 0.785 1.054 0.95 - 1.106 1.003 1.093 1.121 1.314 0.911 0.988 0.939 1.09 0.957 -// -H GEOR030107 -D Linker propensity from long dataset (linker length is greater than 14 - residues) (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C GEOR030102 0.815 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.892 1.154 1.144 0.925 1.035 1.2 1.115 0.917 0.992 0.817 - 0.994 0.944 0.782 1.058 1.309 0.986 1.11 0.841 0.866 0.9 -// -H GEOR030108 -D Linker propensity from helical (annotated by DSSP) dataset (George-Heringa, - 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C AURR980111 0.846 AURR980112 0.846 AURR980115 0.821 - AURR980110 0.804 AURR980114 0.804 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.092 1.239 0.927 0.919 0.662 1.124 1.199 0.698 1.012 0.912 - 1.276 1.008 1.171 1.09 0.8 0.886 0.832 0.981 1.075 0.908 -// -H GEOR030109 -D Linker propensity from non-helical (annotated by DSSP) dataset - (George-Heringa, 2003) -R PMID:12538906 -A George, R.A. and Heringa, J. -T An analysis of protein domain linkers: their classification and role in - protein folding -J Protein Eng. 15, 871-879 (2003) -C ONEK900102 0.908 AVBF000104 0.907 FINA910102 0.890 - ISOY800104 0.812 MUNV940101 0.801 CHOP780213 0.800 - FAUJ880113 -0.848 ONEK900101 -0.884 BLAM930101 -0.889 - BUNA790101 -0.901 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.843 1.038 0.956 0.906 0.896 0.968 0.9 0.978 1.05 0.946 - 0.885 0.893 0.878 1.151 1.816 1.003 1.189 0.852 0.945 0.999 -// -H ZHOH040101 -D The stability scale from the knowledge-based atom-atom potential (Zhou-Zhou, - 2004) -R PMID:14696193 -A Zhou, H. and Zhou, Y. -T Quantifying the effect of burial of amino acid residues on protein stability -J Proteins 54, 315-322 (2004) -C BASU050102 0.948 CIDH920102 0.939 MEEJ810101 0.935 - ZHOH040103 0.935 NOZY710101 0.932 MEEJ810102 0.922 - ZHOH040102 0.910 CIDH920105 0.904 ROSG850101 0.904 - GUOD860101 0.884 LEVM760106 0.883 ROBB790101 0.872 - NISK860101 0.871 PLIV810101 0.864 CORJ870102 0.862 - SWER830101 0.860 WERD780101 0.859 CIDH920104 0.858 - ROSM880104 0.858 VENT840101 0.858 CIDH920101 0.855 - MIYS850101 0.855 LEVM760107 0.855 BASU050101 0.851 - TAKK010101 0.846 ARGP820101 0.841 FAUJ830101 0.841 - JOND750101 0.841 MEEJ800102 0.838 CIDH920103 0.829 - RADA880102 0.828 BIOV880101 0.825 WIMW960101 0.821 - GOLD730101 0.817 BASU050103 0.813 SIMZ760101 0.808 - LIFS790103 0.801 MIYS990103 -0.824 MEIH800101 -0.827 - KARP850101 -0.833 VINM940101 -0.833 GUYH850102 -0.836 - MIYS990105 -0.838 PARS000101 -0.845 WOLS870101 -0.858 - OOBM770103 -0.862 MIYS990104 -0.864 WEBA780101 -0.865 - MIYS990102 -0.870 MIYS990101 -0.871 BULH740101 -0.876 - GUYH850103 -0.882 VINM940102 -0.899 PARJ860101 -0.912 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.18 2.71 1.85 1.75 3.89 2.16 1.89 1.17 2.51 4.50 - 4.71 2.12 3.63 5.88 2.09 1.66 2.18 6.46 5.01 3.77 -// -H ZHOH040102 -D The relative stability scale extracted from mutation experiments (Zhou-Zhou, - 2004) -R PMID:14696193 -A Zhou, H. and Zhou, Y. -T Quantifying the effect of burial of amino acid residues on protein stability -J Proteins 54, 315-322 (2004) -C ROSG850101 0.930 ZHOH040101 0.910 LEVM760106 0.905 - NOZY710101 0.897 BIGC670101 0.884 KRIW790103 0.884 - GOLD730102 0.882 ZIMJ680102 0.878 TSAJ990101 0.874 - TAKK010101 0.874 GRAR740103 0.872 TSAJ990102 0.867 - CIDH920102 0.862 CHOC750101 0.856 LEVM760107 0.843 - VENT840101 0.831 HARY940101 0.830 CHAM820101 0.826 - PONJ960101 0.823 CIDH920105 0.818 FAUJ880103 0.816 - SIMZ760101 0.814 GUOD860101 0.812 CIDH920101 0.811 - PLIV810101 0.809 MEEJ800102 0.808 BASU050102 0.808 - MEEJ810101 0.804 WEBA780101 -0.807 PARJ860101 -0.854 - BULH740101 -0.860 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.79 3.20 2.83 2.33 2.22 2.37 2.52 0.70 3.06 4.59 - 4.72 2.50 3.91 4.84 2.45 1.82 2.45 5.64 4.46 3.67 -// -H ZHOH040103 -D Buriability (Zhou-Zhou, 2004) -R PMID:14696193 -A Zhou, H. and Zhou, Y. -T Quantifying the effect of burial of amino acid residues on protein stability -J Proteins 54, 315-322 (2004) -C BASU050102 0.978 NISK860101 0.946 BIOV880101 0.941 - CIDH920104 0.941 ZHOH040101 0.935 FAUJ830101 0.933 - BASU050103 0.927 CIDH920105 0.926 NADH010104 0.925 - WERD780101 0.923 MEEJ810101 0.921 BASU050101 0.917 - MIYS850101 0.914 NADH010103 0.913 CIDH920102 0.909 - RADA880108 0.904 ROSG850102 0.903 MEEJ810102 0.902 - CASG920101 0.900 PONP930101 0.896 BIOV880102 0.891 - NADH010105 0.890 GUOD860101 0.889 PLIV810101 0.889 - NISK800101 0.888 PONP800108 0.887 BAEK050101 0.884 - CIDH920103 0.881 ROBB790101 0.872 NADH010102 0.864 - MANP780101 0.864 CORJ870101 0.864 SWER830101 0.863 - CORJ870102 0.863 PONP800103 0.861 PONP800102 0.858 - PONP800101 0.847 BLAS910101 0.846 CIDH920101 0.845 - NOZY710101 0.842 ROSM880105 0.839 ROSM880104 0.826 - CORJ870106 0.822 CORJ870107 0.822 MEIH800103 0.820 - NADH010106 0.819 CORJ870103 0.819 LIFS790101 0.815 - PTIO830102 0.813 RADA880102 0.813 CORJ870104 0.809 - VENT840101 0.807 NADH010101 0.803 FUKS010104 -0.803 - FUKS010103 -0.808 PUNT030101 -0.809 LEVM760101 -0.811 - CORJ870108 -0.821 BULH740101 -0.828 HOPT810101 -0.829 - RACS770102 -0.832 RACS770101 -0.835 KARP850102 -0.836 - GUYH850101 -0.839 KARP850101 -0.846 PARS000101 -0.846 - PUNT030102 -0.847 MEIH800102 -0.848 KIDA850101 -0.851 - WOLS870101 -0.870 GUYH850103 -0.879 VINM940103 -0.882 - GRAR740102 -0.895 PARJ860101 -0.897 MEIH800101 -0.898 - KRIW790101 -0.905 OOBM770103 -0.907 FASG890101 -0.910 - GUYH850102 -0.912 VINM940101 -0.922 MIYS990101 -0.926 - MIYS990102 -0.927 MIYS990103 -0.933 MIYS990105 -0.939 - VINM940102 -0.939 MIYS990104 -0.954 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 13.4 8.5 7.6 8.2 22.6 8.5 7.3 7.0 11.3 20.3 - 20.8 6.1 15.7 23.9 9.9 8.2 10.3 24.5 19.5 19.5 -// -H BAEK050101 -D Linker index (Bae et al., 2005) -R PMID:15746283 -A Bae, K., Mallick, B.K. and Elsik, C.G. -T Prediction of protein inter-domain linker regions by a hidden Markov model -J Bioinformatics 21, ??-?? (2005) -C CASG920101 0.919 BASU050102 0.898 WERD780101 0.895 - NISK860101 0.886 ZHOH040103 0.884 NISK800101 0.881 - NADH010104 0.875 ROSG850102 0.868 CORJ870101 0.862 - PONP930101 0.856 BIOV880101 0.853 NADH010103 0.853 - NADH010105 0.850 QIAN880121 0.836 PONP800108 0.833 - PONP800102 0.818 PONP800101 0.812 CIDH920104 0.809 - NADH010106 0.809 BASU050103 0.806 SUYM030101 0.805 - OOBM770103 -0.810 PARS000101 -0.821 KARP850102 -0.839 - FASG890101 -0.859 KRIW790101 -0.860 MIYS990105 -0.871 - VINM940102 -0.873 MIYS990103 -0.877 MIYS990104 -0.892 - VINM940101 -0.896 VINM940103 -0.906 GUYH850102 -0.907 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.0166 -0.0762 -0.0786 -0.1278 0.5724 -0.1051 -0.1794 -0.0442 0.1643 0.2758 - 0.2523 -0.2134 0.0197 0.3561 -0.4188 -0.1629 -0.0701 0.3836 0.2500 0.1782 -// -H HARY940101 -D Mean volumes of residues buried in protein interiors (Harpaz et al., 1994) -R PMID: 7922041 -A Harpaz, Y., Gerstein, M. and Chothia, C. -T Volume changes on protein folding -J Structure 2, 641-649 (1994) (Disulfide bonded cysteine, 103.5) -C PONJ960101 0.989 TSAJ990102 0.965 TSAJ990101 0.964 - CHOC750101 0.961 BIGC670101 0.960 GOLD730102 0.959 - KRIW790103 0.956 FAUJ880103 0.951 CHOC760101 0.946 - GRAR740103 0.946 CHAM820101 0.933 LEVM760105 0.919 - FASG760101 0.910 FAUJ880106 0.909 LEVM760102 0.905 - DAWD720101 0.900 CHAM830106 0.894 ROSG850101 0.869 - RADA880106 0.846 ZHOH040102 0.830 LEVM760106 0.829 - LEVM760107 0.815 RADA880103 -0.840 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 90.1 192.8 127.5 117.1 113.2 149.4 140.8 63.8 159.3 164.9 - 164.6 170.0 167.7 193.5 123.1 94.2 120.0 197.1 231.7 139.1 -// -H PONJ960101 -D Average volumes of residues (Pontius et al., 1996) -R PMID: 8950272 -A Pontius, J., Richelle, J. and Wodak, S.J. -T Deviations from standard atomic volumes as a quality measure for protein - crystal structures -J J. Mol. Biol 264, 121-136 (1996) (Disulfide bonded cysteine, 102.4) -C HARY940101 0.989 CHOC750101 0.966 FAUJ880103 0.963 - TSAJ990102 0.962 CHOC760101 0.961 TSAJ990101 0.960 - BIGC670101 0.950 GOLD730102 0.947 FASG760101 0.945 - KRIW790103 0.943 CHAM820101 0.938 GRAR740103 0.937 - LEVM760102 0.930 LEVM760105 0.928 CHAM830106 0.917 - FAUJ880106 0.913 DAWD720101 0.873 ROSG850101 0.862 - RADA880106 0.860 LEVM760107 0.827 ZHOH040102 0.823 - RADA880103 -0.873 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 91.5 196.1 138.3 135.2 114.4 156.4 154.6 67.5 163.2 162.6 - 163.4 162.5 165.9 198.8 123.4 102.0 126.0 209.8 237.2 138.4 -// -H DIGM050101 -D Hydrostatic pressure asymmetry index, PAI (Di Giulio, 2005) -R PMID: 15716096 -A Di Giulio M. -T A comparison of proteins from Pyrococcus furiosus and Pyrococcus abyssi: - barophily in the physicochemical properties of amino acids and in the genetic - code -J Gene 346, 1-6 (2005) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.076 1.361 1.056 1.290 0.753 0.729 1.118 1.346 0.985 0.926 - 1.054 1.105 0.974 0.869 0.820 1.342 0.871 0.666 0.531 1.131 -// -H WOLR790101 -D Hydrophobicity index (Wolfenden et al., 1979) -R PMID:493962 -A Wolfenden, R.V., Cullis, P.M. and Southgate, C.C.F. -T Water, protein folding, and the genetic code -J Science 206, 575-577 (1979) -C WOLR810101 0.996 RADA880101 0.933 RADA880104 0.926 - EISD840101 0.909 JACR890101 0.906 RADA880107 0.905 - RADA880105 0.903 KYTJ820101 0.869 JURD980101 0.864 - OLSK800101 0.859 CHOC760103 0.857 CHOC760104 0.851 - JANJ780102 0.833 NADH010101 0.826 JANJ790102 0.818 - JANJ780103 -0.806 GUYH850104 -0.815 OOBM770101 -0.831 - CHOC760102 -0.834 ROSM880102 -0.836 VHEG790101 -0.844 - JANJ780101 -0.856 ENGD860101 -0.877 PRAM900101 -0.877 - ROSM880101 -0.887 KUHL950101 -0.898 GUYH850105 -0.908 - FAUJ880109 -0.920 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.12 -2.55 -0.83 -0.83 0.59 -0.78 -0.92 1.20 -0.93 1.16 - 1.18 -0.80 0.55 0.67 0.54 -0.05 -0.02 -0.19 -0.23 1.13 -// -H OLSK800101 -D Average internal preferences (Olsen, 1980) -R PMID:7378453 -A Olsen, K.W. -T Internal residue criteria for predicting three-dimensional protein structures -J Biochim. Biophys. Acta 622, 259-267 (1980) -C CHOC760103 0.981 JURD980101 0.943 KYTJ820101 0.942 - JANJ780102 0.905 EISD860103 0.881 RADA880107 0.874 - CHOC760104 0.872 JANJ790102 0.870 WOLR810101 0.869 - EISD840101 0.869 WOLR790101 0.859 NADH010102 0.856 - DESM900102 0.849 NADH010101 0.843 RADA880101 0.840 - JANJ790101 0.828 MEIH800103 0.826 WARP780101 0.818 - LIFS790102 0.818 MANP780101 0.817 RADA880104 0.814 - NADH010103 0.807 PONP800103 0.801 ENGD860101 -0.805 - PRAM900101 -0.806 ROSM880101 -0.806 FAUJ880109 -0.821 - GUYH850101 -0.823 PUNT030101 -0.838 JANJ780103 -0.845 - RACS770102 -0.845 ROSM880102 -0.847 KUHL950101 -0.849 - MEIH800102 -0.858 JANJ780101 -0.858 GUYH850104 -0.871 - OOBM770101 -0.878 CHOC760102 -0.886 GUYH850105 -0.927 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.38 0.00 0.37 0.52 1.43 0.22 0.71 1.34 0.66 2.32 - 1.47 0.15 1.78 1.72 0.85 0.86 0.89 0.82 0.47 1.99 -// -H KIDA850101 -D Hydrophobicity-related index (Kidera et al., 1985) -R -A Kidera, A., Konishi, Y., Oka, M., Ooi, T. and Scheraga, A. -T Statistical Analysis of the Physical Properties of the 20 Naturally Occuring - Amino Acids -J J. Prot. Chem. 4, 23-55 (1985) -C ROSM880101 0.933 ROSM880102 0.920 LEVM760101 0.915 - KUHL950101 0.882 HOPT810101 0.881 GRAR740102 0.881 - PRAM900101 0.866 ENGD860101 0.866 MIYS990105 0.865 - FASG890101 0.861 PUNT030101 0.856 WOLS870101 0.852 - GUYH850104 0.848 JANJ780101 0.843 OOBM770101 0.843 - JANJ780103 0.842 MEIH800102 0.834 GUYH850101 0.834 - MIYS990104 0.822 MIYS990101 0.817 MIYS990102 0.817 - FUKS010104 0.814 PARJ860101 0.809 WOEC730101 0.807 - PUNT030102 0.807 MIYS990103 0.805 CHOC760102 0.804 - NADH010101 -0.803 CIDH920105 -0.803 RADA880104 -0.805 - BASU050103 -0.806 NAKH900110 -0.808 MEIH800103 -0.813 - CASG920101 -0.817 MEEJ800102 -0.823 GUOD860101 -0.828 - JANJ780102 -0.828 MIYS850101 -0.831 EISD860103 -0.832 - JACR890101 -0.836 CIDH920104 -0.836 RADA880107 -0.837 - PLIV810101 -0.841 NADH010104 -0.842 ROSG850102 -0.849 - MEEJ810101 -0.850 MEEJ810102 -0.851 ZHOH040103 -0.851 - JANJ790102 -0.858 NADH010103 -0.859 COWR900101 -0.868 - NADH010102 -0.874 RADA880108 -0.875 RADA880101 -0.883 - EISD860101 -0.890 BIOV880102 -0.892 BIOV880101 -0.893 - EISD840101 -0.900 BLAS910101 -0.901 ROSM880105 -0.922 - FAUJ830101 -0.946 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.27 1.87 0.81 0.81 -1.05 1.10 1.17 -0.16 0.28 -0.77 - -1.10 1.70 -0.73 -1.43 -0.75 0.42 0.63 -1.57 -0.56 -0.40 -// -H GUYH850102 -D Apparent partition energies calculated from Wertz-Scheraga index (Guy, 1985) -R PMID:3978191 -A Guy, H.R. -T Amino acid side-chain partition energies and distribution of residues in - soluble proteins -J Biophys. J. 47, 61-70 (1985) -C MIYS990104 0.928 VINM940101 0.924 MIYS990103 0.914 - MIYS990105 0.912 FASG890101 0.909 VINM940102 0.905 - OOBM770103 0.904 MEIH800101 0.899 VINM940103 0.895 - KARP850102 0.882 KRIW790101 0.878 MIYS990102 0.868 - GUYH850103 0.866 MIYS990101 0.865 RACS770101 0.859 - MEIH800102 0.856 RACS770102 0.853 FUKS010103 0.848 - KRIW790102 0.841 PARS000101 0.839 PARJ860101 0.836 - CORJ870108 0.821 RACS770103 0.821 FUKS010104 0.819 - KARP850101 0.811 KRIW710101 0.811 GRAR740102 0.806 - GUYH850101 0.805 PLIV810101 -0.802 CORJ870105 -0.804 - MEEJ810101 -0.813 BASU050101 -0.815 NADH010102 -0.824 - NADH010105 -0.826 CORJ870106 -0.830 CORJ870107 -0.834 - ZHOH040101 -0.836 CORJ870103 -0.841 CIDH920101 -0.843 - BASU050103 -0.845 MANP780101 -0.850 MEIH800103 -0.854 - CIDH920102 -0.855 PONP800103 -0.856 FAUJ830101 -0.857 - ROBB790101 -0.862 NADH010103 -0.866 CIDH920103 -0.871 - PONP800108 -0.873 PONP800101 -0.873 PONP800102 -0.874 - NADH010104 -0.879 CORJ870101 -0.883 MIYS850101 -0.884 - CIDH920105 -0.892 CIDH920104 -0.894 PONP930101 -0.897 - RADA880108 -0.902 BIOV880102 -0.903 BAEK050101 -0.907 - BASU050102 -0.911 ZHOH040103 -0.912 NISK800101 -0.914 - BIOV880101 -0.922 ROSG850102 -0.925 CASG920101 -0.941 - NISK860101 -0.950 WERD780101 -0.976 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.05 0.12 0.29 0.41 -0.84 0.46 0.38 0.31 -0.41 -0.69 - -0.62 0.57 -0.38 -0.45 0.46 0.12 0.38 -0.98 -0.25 -0.46 -// -H GUYH850103 -D Apparent partition energies calculated from Robson-Osguthorpe index (Guy, - 1985) -R PMID:3978191 -A Guy, H.R. -T Amino acid side-chain partition energies and distribution of residues in - soluble proteins -J Biophys. J. 47, 61-70 (1985) (Gly missing) -C OOBM770103 0.906 PARJ860101 0.897 MIYS990102 0.888 - MIYS990101 0.886 MIYS990105 0.883 MIYS990104 0.879 - VINM940102 0.875 FUKS010103 0.874 MEIH800101 0.873 - GUYH850102 0.866 VINM940101 0.860 FASG890101 0.860 - MIYS990103 0.857 RACS770101 0.844 WOLS870101 0.836 - CORJ870108 0.831 GRAR740102 0.831 PARS000101 0.822 - BULH740101 0.820 CORJ870103 -0.804 JOND750101 -0.807 - ROSM880104 -0.807 PONP800102 -0.808 ARGP820101 -0.808 - CORJ870104 -0.809 MEEJ800102 -0.809 CORJ870101 -0.815 - BIOV880102 -0.818 GUOD860101 -0.819 LEVM760106 -0.822 - PONP800101 -0.822 MEEJ810102 -0.823 PONP800108 -0.828 - NISK800101 -0.828 CORJ870105 -0.830 MANP780101 -0.833 - CORJ870107 -0.833 CORJ870106 -0.837 SWER830101 -0.839 - CORJ870102 -0.839 ROSG850102 -0.844 CASG920101 -0.846 - BASU050101 -0.852 CIDH920101 -0.854 BASU050103 -0.854 - PONP930101 -0.858 MEEJ810101 -0.864 FAUJ830101 -0.870 - RADA880108 -0.870 WERD780101 -0.876 ZHOH040103 -0.879 - PLIV810101 -0.881 ZHOH040101 -0.882 BIOV880101 -0.890 - CIDH920103 -0.890 MIYS850101 -0.897 CIDH920102 -0.904 - BASU050102 -0.904 CIDH920104 -0.906 NISK860101 -0.914 - CIDH920105 -0.927 ROBB790101 -0.999 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.54 -0.16 0.38 0.65 -1.13 0.05 0.38 NA -0.59 -2.15 - -1.08 0.48 -0.97 -1.51 -0.22 0.65 0.27 -1.61 -1.13 -0.75 -// -H GUYH850104 -D Apparent partition energies calculated from Janin index (Guy, 1985) -R PMID:3978191 -A Guy, H.R. -T Amino acid side-chain partition energies and distribution of residues in - soluble proteins -J Biophys. J. 47, 61-70 (1985) -C JANJ780101 0.989 JANJ780103 0.983 CHOC760102 0.970 - OOBM770101 0.966 GUYH850105 0.908 MEIH800102 0.892 - ENGD860101 0.881 PRAM900101 0.881 FASG890101 0.872 - GUYH850101 0.857 ROSM880102 0.856 KRIW790102 0.849 - RACS770102 0.849 KIDA850101 0.848 PUNT030101 0.840 - RACS770103 0.839 KUHL950101 0.835 KRIW790101 0.822 - MIYS990105 0.821 ROSM880101 0.814 FAUJ880109 0.812 - MIYS990103 0.805 NADH010101 -0.804 PONP800108 -0.807 - WOLR790101 -0.815 FAUJ830101 -0.816 CASG920101 -0.819 - DESM900101 -0.824 PONP800102 -0.824 WOLR810101 -0.826 - JACR890101 -0.827 CORJ870101 -0.830 RADA880101 -0.831 - EISD860103 -0.835 BIOV880101 -0.844 CHOC760104 -0.845 - PONP800103 -0.845 RADA880108 -0.847 MEIH800103 -0.854 - BIOV880102 -0.855 JANJ790101 -0.862 NADH010104 -0.867 - KYTJ820101 -0.869 OLSK800101 -0.871 JURD980101 -0.880 - WARP780101 -0.882 ROSG850102 -0.891 EISD840101 -0.892 - DESM900102 -0.896 RADA880107 -0.896 NADH010103 -0.899 - CHOC760103 -0.907 NADH010102 -0.946 JANJ780102 -0.968 - JANJ790102 -0.999 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.31 1.30 0.49 0.58 -0.87 0.70 0.68 -0.33 0.13 -0.66 - -0.53 1.79 -0.38 -0.45 0.34 0.10 0.21 -0.27 0.40 -0.62 -// -H GUYH850105 -D Apparent partition energies calculated from Chothia index (Guy, 1985) -R PMID:3978191 -A Guy, H.R. -T Amino acid side-chain partition energies and distribution of residues in - soluble proteins -J Biophys. J. 47, 61-70 (1985) -C CHOC760102 0.946 FAUJ880109 0.927 JANJ780101 0.923 - GUYH850104 0.908 JANJ780103 0.885 OOBM770101 0.874 - ROSM880102 0.874 PRAM900101 0.867 ENGD860101 0.867 - PUNT030101 0.858 KUHL950101 0.850 ROSM880101 0.849 - VHEG790101 0.845 GUYH850101 0.843 MEIH800102 0.811 - RADA880105 -0.809 EISD860103 -0.812 NADH010103 -0.815 - DESM900102 -0.818 CHOC760104 -0.822 YUTK870101 -0.841 - NADH010101 -0.847 NADH010102 -0.867 KYTJ820101 -0.883 - JACR890101 -0.887 JANJ780102 -0.898 RADA880104 -0.899 - RADA880101 -0.899 JURD980101 -0.900 WOLR790101 -0.908 - JANJ790102 -0.913 WOLR810101 -0.916 OLSK800101 -0.927 - CHOC760103 -0.933 EISD840101 -0.951 RADA880107 -0.953 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.27 2.00 0.61 0.50 -0.23 1.00 0.33 -0.22 0.37 -0.80 - -0.44 1.17 -0.31 -0.55 0.36 0.17 0.18 0.05 0.48 -0.65 -// -H ROSM880104 -D Hydropathies of amino acid side chains, neutral form (Roseman, 1988) -R PMID:3398047 -A Roseman, M.A. -T Hydrophilicity of Polar Amino Acid Side-chains is Markedly Reduced by - Flanking Peptide Bonds -J J. Mol. Biol. 200, 513-522 (1988) (Arg Pro missing) -C MEEJ810101 0.911 CIDH920105 0.886 MEEJ810102 0.885 - ARGP820101 0.872 JOND750101 0.872 GUOD860101 0.868 - PLIV810101 0.866 CIDH920103 0.866 CIDH920104 0.860 - CIDH920102 0.859 ZHOH040101 0.858 SIMZ760101 0.855 - NOZY710101 0.847 BASU050102 0.846 SWER830101 0.844 - CORJ870102 0.844 TAKK010101 0.840 BASU050101 0.830 - VENT840101 0.829 ZHOH040103 0.826 MIYS850101 0.824 - GOLD730101 0.808 ROBB790101 0.807 BLAS910101 0.802 - NISK860101 0.801 GUYH850103 -0.807 MIYS990102 -0.839 - MIYS990101 -0.843 WOLS870101 -0.870 BULH740101 -0.884 - PARJ860101 -0.896 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.39 NA -1.91 -0.71 0.25 -1.30 -0.18 0.00 -0.60 1.82 - 1.82 0.32 0.96 2.27 NA -1.24 -1.00 2.13 1.47 1.30 -// -H ROSM880105 -D Hydropathies of amino acid side chains, pi-values in pH 7.0 (Roseman, 1988) -R PMID:3398047 -A Roseman, M.A. -T Hydrophilicity of Polar Amino Acid Side-chains is Markedly Reduced by - Flanking Peptide Bonds -J J. Mol. Biol. 200, 513-522 (1988) (Pro missing) -C BLAS910101 0.954 EISD860101 0.948 FAUJ830101 0.937 - RADA880101 0.933 EISD840101 0.923 BIOV880101 0.874 - BIOV880102 0.871 RADA880102 0.870 BASU050103 0.864 - JACR890101 0.863 PLIV810101 0.862 RADA880108 0.861 - NAKH900110 0.859 ZIMJ680105 0.857 CIDH920104 0.855 - NADH010102 0.845 MIYS850101 0.844 SWER830101 0.843 - CIDH920105 0.843 CORJ870102 0.841 MEEJ800102 0.841 - ZHOH040103 0.839 ROSG850102 0.838 NISK860101 0.836 - CIDH920103 0.832 BASU050101 0.828 GUOD860101 0.826 - NADH010101 0.825 DESM900102 0.825 NADH010103 0.822 - JURD980101 0.818 COWR900101 0.817 CASG920101 0.814 - PONP800108 0.808 KYTJ820101 0.806 JANJ790102 0.805 - MEEJ810102 0.804 MANP780101 0.803 MEEJ810101 0.802 - EISD860103 0.801 MEIH800101 -0.802 FAUJ880110 -0.803 - VINM940101 -0.818 MEIH800102 -0.821 FASG890101 -0.822 - OOBM770101 -0.824 OOBM770103 -0.828 MIYS990103 -0.829 - GUYH850101 -0.832 MIYS990104 -0.841 MIYS990102 -0.854 - MIYS990101 -0.854 ROSM880102 -0.871 PARJ860101 -0.871 - MIYS990105 -0.873 KUHL950101 -0.896 WOLS870101 -0.899 - VHEG790101 -0.901 WOEC730101 -0.902 ENGD860101 -0.912 - PRAM900101 -0.912 PUNT030102 -0.917 KIDA850101 -0.922 - PUNT030101 -0.922 GRAR740102 -0.924 ROSM880101 -0.951 - LEVM760101 -0.954 HOPT810101 -0.955 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.39 -3.95 -1.91 -3.81 0.25 -1.30 -2.91 0.00 -0.64 1.82 - 1.82 -2.77 0.96 2.27 NA -1.24 -1.00 2.13 1.47 1.30 -// -H JACR890101 -D Weights from the IFH scale (Jacobs-White, 1989) -R PMID:2742845 -A Jacobs, R. and White, S.H. -T The nature of the hydrophobic bonding of small peptides at the bilayer - interface: implications for the insertion of transbilayer helices -J Biochemistry 28, 3421-3437 (1989) -C EISD840101 0.938 RADA880101 0.936 WOLR810101 0.908 - WOLR790101 0.906 RADA880107 0.895 RADA880104 0.868 - ROSM880105 0.863 JANJ790102 0.840 EISD860101 0.827 - BLAS910101 0.819 CHOC760102 -0.803 JANJ780103 -0.809 - PUNT030101 -0.812 OOBM770101 -0.812 HOPT810101 -0.816 - GUYH850104 -0.827 LEVM760101 -0.832 ZIMJ680103 -0.835 - KIDA850101 -0.836 ROSM880102 -0.837 KUHL950101 -0.864 - JANJ780101 -0.865 EISD860102 -0.871 GUYH850105 -0.887 - FAUJ880109 -0.889 ROSM880101 -0.892 VHEG790101 -0.903 - ENGD860101 -0.948 PRAM900101 -0.948 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.18 -5.40 -1.30 -2.36 0.27 -1.22 -2.10 0.09 -1.48 0.37 - 0.41 -2.53 0.44 0.50 -0.20 -0.40 -0.34 -0.01 -0.08 0.32 -// -H COWR900101 -D Hydrophobicity index, 3.0 pH (Cowan-Whittaker, 1990) -R PMID:2134053 -A Cowan, R. and Whittaker, R.G. -T Hydrophobicity indices for amino acid residues as determined by - high-performance liquid chromatography -J Peptide Res. 3, 75-80 (1990) -C GUOD860101 0.920 BLAS910101 0.885 FAUJ830101 0.876 - EISD860103 0.868 EISD840101 0.863 WILM950101 0.860 - PLIV810101 0.857 JURD980101 0.855 MEEJ810102 0.849 - NADH010102 0.848 KYTJ820101 0.845 RADA880101 0.840 - NADH010103 0.825 MIYS850101 0.824 MEEJ810101 0.823 - CHOC760103 0.820 RADA880104 0.818 ROSM880105 0.817 - RADA880107 0.810 NADH010104 0.807 CIDH920104 0.803 - BULH740101 -0.804 MIYS990102 -0.825 MIYS990101 -0.826 - ROSM880101 -0.849 GRAR740102 -0.854 KIDA850101 -0.868 - WOLS870101 -0.883 ROSM880102 -0.897 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.42 -1.56 -1.03 -0.51 0.84 -0.96 -0.37 0.00 -2.28 1.81 - 1.80 -2.03 1.18 1.74 0.86 -0.64 -0.26 1.46 0.51 1.34 -// -H BLAS910101 -D Scaled side chain hydrophobicity values (Black-Mould, 1991) -R PMID:2042744 -A Black, S.D. and Mould D.R. -T Development of Hydrophobicity Parameters to Analyze Proteins Which Bear Post- - or Cotranslational Modifications -J Analytical Biochemistry 193, 72-82 (1991) -C ROSM880105 0.954 FAUJ830101 0.923 RADA880101 0.922 - EISD860101 0.911 SWER830101 0.887 COWR900101 0.885 - CORJ870102 0.884 EISD840101 0.884 CIDH920104 0.881 - BASU050103 0.878 PLIV810101 0.871 GUOD860101 0.866 - ZIMJ680105 0.855 NADH010101 0.855 BASU050101 0.853 - CIDH920105 0.852 MEEJ800102 0.849 ZHOH040103 0.846 - JURD980101 0.841 CIDH920103 0.838 BIOV880101 0.838 - KYTJ820101 0.836 MEEJ810101 0.831 MEEJ810102 0.830 - EISD860103 0.830 MIYS850101 0.829 RADA880108 0.826 - RADA880102 0.826 NADH010102 0.824 GOLD730101 0.821 - JACR890101 0.819 NADH010103 0.812 PONP800108 0.810 - WILM950101 0.810 BIOV880102 0.809 BASU050102 0.807 - CIDH920102 0.805 NISK860101 0.803 ROSM880104 0.802 - MANP780101 0.802 NAKH900110 0.801 MIYS990103 -0.806 - MIYS990104 -0.818 VHEG790101 -0.847 MIYS990105 -0.848 - MIYS990102 -0.854 MIYS990101 -0.857 BULH740101 -0.860 - ENGD860101 -0.864 PRAM900101 -0.864 PUNT030101 -0.865 - PARJ860101 -0.870 HOPT810101 -0.877 PUNT030102 -0.877 - ROSM880102 -0.884 LEVM760101 -0.889 KUHL950101 -0.894 - KIDA850101 -0.901 WOEC730101 -0.902 WOLS870101 -0.930 - ROSM880101 -0.940 GRAR740102 -0.950 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.616 0.000 0.236 0.028 0.680 0.251 0.043 0.501 0.165 0.943 - 0.943 0.283 0.738 1.000 0.711 0.359 0.450 0.878 0.880 0.825 -// -H CASG920101 -D Hydrophobicity scale from native protein structures (Casari-Sippl, 1992) -R PMID:1569551 -A Casari, G. and Sippl, M. -T Structure-derived Hydrophobic Potential. Hydrophobic Potential Derived from - X-ray Structures of Globular Proteins is able to Identify Native Folds -J J. Mol. Biol. 224, 725-732 (1992) -C ROSG850102 0.952 CORJ870101 0.947 NISK860101 0.938 - BIOV880101 0.935 NISK800101 0.935 WERD780101 0.927 - BAEK050101 0.919 BIOV880102 0.919 NADH010104 0.915 - NADH010103 0.914 PONP930101 0.911 RADA880108 0.903 - CIDH920104 0.903 PONP800108 0.901 ZHOH040103 0.900 - PONP800102 0.889 NADH010102 0.889 MEIH800103 0.881 - PONP800103 0.879 FAUJ830101 0.875 PONP800101 0.874 - BASU050102 0.873 DESM900102 0.869 MIYS850101 0.863 - BASU050103 0.860 CIDH920105 0.859 JANJ780102 0.853 - ROBB790101 0.850 MANP780101 0.848 NADH010105 0.838 - JANJ790101 0.828 CIDH920103 0.827 JANJ790102 0.822 - CORJ870103 0.821 ROSM880105 0.814 CORJ870107 0.813 - DESM900101 0.806 BASU050101 0.806 CIDH920102 0.802 - RACS770101 -0.807 KRIW710101 -0.808 VINM940104 -0.810 - PUNT030101 -0.811 KIDA850101 -0.817 GUYH850104 -0.819 - JANJ780103 -0.825 PARS000101 -0.826 FUKS010102 -0.831 - PUNT030102 -0.831 MIYS990101 -0.834 GUYH850101 -0.836 - OOBM770101 -0.838 MIYS990102 -0.838 HOPT810101 -0.839 - RACS770103 -0.846 GUYH850103 -0.846 RACS770102 -0.849 - GRAR740102 -0.850 PARS000102 -0.859 KRIW790102 -0.865 - VINM940102 -0.874 MEIH800101 -0.875 MEIH800102 -0.879 - FUKS010104 -0.892 KARP850102 -0.901 KRIW790101 -0.911 - OOBM770103 -0.914 VINM940103 -0.915 MIYS990103 -0.915 - FASG890101 -0.924 MIYS990104 -0.931 MIYS990105 -0.937 - GUYH850102 -0.941 VINM940101 -0.947 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.2 -0.7 -0.5 -1.4 1.9 -1.1 -1.3 -0.1 0.4 1.4 - 0.5 -1.6 0.5 1.0 -1.0 -0.7 -0.4 1.6 0.5 0.7 -// -H CORJ870101 -D NNEIG index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C NISK800101 0.976 PONP800108 0.969 PONP930101 0.960 - PONP800102 0.954 ROSG850102 0.948 CASG920101 0.947 - PONP800103 0.944 PONP800101 0.939 NISK860101 0.935 - NADH010103 0.921 MANP780101 0.918 BIOV880101 0.917 - NADH010104 0.914 NADH010102 0.909 MEIH800103 0.902 - DESM900102 0.901 BASU050103 0.897 CIDH920104 0.896 - RADA880108 0.895 JANJ790101 0.891 CORJ870103 0.889 - JANJ780102 0.885 BIOV880102 0.882 CORJ870107 0.878 - WERD780101 0.873 DESM900101 0.870 ZHOH040103 0.864 - BASU050101 0.863 CORJ870104 0.863 BAEK050101 0.862 - MIYS850101 0.861 BASU050102 0.855 JURD980101 0.849 - KYTJ820101 0.848 NADH010105 0.846 FAUJ830101 0.845 - QIAN880121 0.842 KANM800102 0.839 KANM800104 0.833 - CORJ870106 0.829 ROBB760106 0.829 NADH010101 0.827 - CIDH920105 0.827 QIAN880122 0.826 LIFS790101 0.826 - JANJ790102 0.825 CIDH920103 0.822 CHOC760103 0.822 - GEIM800107 0.821 ROBB790101 0.819 CORJ870105 0.818 - CHOP780202 0.815 ROBB760105 0.809 EISD860103 0.809 - QIAN880120 0.802 WARP780101 0.800 VINM940104 -0.805 - KRIW710101 -0.812 FUKS010104 -0.814 GUYH850103 -0.815 - MUNV940103 -0.817 GUYH850101 -0.820 JANJ780103 -0.826 - GUYH850104 -0.830 RACS770103 -0.832 VINM940103 -0.837 - RACS770102 -0.837 KRIW790102 -0.838 WOEC730101 -0.841 - VINM940102 -0.847 PARS000102 -0.850 MIYS990101 -0.854 - MEIH800101 -0.855 MIYS990102 -0.859 PUNT030102 -0.860 - KARP850102 -0.865 CORJ870108 -0.866 OOBM770101 -0.875 - MEIH800102 -0.878 GUYH850102 -0.883 GRAR740102 -0.890 - KRIW790101 -0.902 OOBM770103 -0.907 FASG890101 -0.921 - VINM940101 -0.924 MIYS990104 -0.932 MIYS990103 -0.936 - MIYS990105 -0.937 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 50.76 48.66 45.80 43.17 58.74 46.09 43.48 50.27 49.33 57.30 - 53.89 42.92 52.75 53.45 45.39 47.24 49.26 53.59 51.79 56.12 -// -H CORJ870102 -D SWEIG index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C SWER830101 1.000 BASU050101 0.921 CIDH920105 0.890 - BASU050103 0.889 MIYS850101 0.887 BLAS910101 0.884 - CORJ870104 0.881 CORJ870107 0.881 BASU050102 0.881 - PLIV810101 0.873 CIDH920102 0.872 NISK860101 0.864 - CIDH920103 0.864 ZHOH040103 0.863 ZHOH040101 0.862 - CORJ870103 0.860 CIDH920104 0.860 CIDH920101 0.855 - PTIO830102 0.854 GUOD860101 0.852 CORJ870105 0.848 - CORJ870106 0.845 ROSM880104 0.844 ROSM880105 0.841 - NOZY710101 0.838 VENT840101 0.837 BIOV880101 0.837 - ROBB790101 0.835 PONP930101 0.832 FAUJ830101 0.831 - ZIMJ680105 0.828 QIAN880120 0.825 RADA880108 0.823 - EISD860101 0.822 CHOP780202 0.822 RADA880102 0.821 - MANP780101 0.818 LIFS790101 0.815 PALJ810104 0.809 - MEEJ810101 0.807 WERD780101 0.804 MUNV940103 -0.802 - RACS770101 -0.802 VINM940102 -0.812 VINM940101 -0.817 - WOEC730101 -0.828 MEIH800101 -0.829 OOBM770103 -0.832 - PUNT030101 -0.835 GUYH850103 -0.839 PARS000101 -0.848 - MIYS990103 -0.877 MIYS990105 -0.882 CORJ870108 -0.883 - WOLS870101 -0.885 MIYS990104 -0.886 PARJ860101 -0.892 - GRAR740102 -0.893 MIYS990102 -0.920 MIYS990101 -0.922 - BULH740101 -0.923 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.414 -0.584 -0.916 -1.310 0.162 -0.905 -1.218 -0.684 -0.630 1.237 - 1.215 -0.670 1.020 1.938 -0.503 -0.563 -0.289 0.514 1.699 0.899 -// -H CORJ870103 -D PRIFT index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C CORJ870104 0.988 CORJ870107 0.969 PONP930101 0.920 - PONP800101 0.917 NISK860101 0.914 PONP800102 0.907 - MANP780101 0.906 MIYS850101 0.892 BASU050101 0.890 - PONP800103 0.889 CORJ870101 0.889 NISK800101 0.886 - ROSG850102 0.883 WERD780101 0.882 MEIH800103 0.880 - CORJ870106 0.880 CORJ870105 0.880 RADA880108 0.876 - BIOV880101 0.876 PONP800108 0.873 BASU050103 0.867 - SWER830101 0.862 CORJ870102 0.860 CIDH920103 0.856 - BASU050102 0.845 CIDH920104 0.841 BIOV880102 0.840 - CIDH920105 0.838 NADH010103 0.830 CIDH920101 0.825 - NADH010102 0.823 CASG920101 0.821 PONP800106 0.821 - NADH010104 0.820 ZHOH040103 0.819 DESM900102 0.815 - DESM900101 0.812 QIAN880122 0.808 JURD980101 0.808 - KYTJ820101 0.806 ROBB790101 0.804 PUNT030101 -0.802 - GUYH850103 -0.804 PARJ860101 -0.807 KRIW790102 -0.812 - GUYH850101 -0.813 PARS000101 -0.815 RACS770103 -0.827 - KRIW790101 -0.830 GRAR740102 -0.836 OOBM770103 -0.839 - GUYH850102 -0.841 VINM940101 -0.848 KARP850102 -0.850 - RACS770102 -0.852 MEIH800102 -0.855 RACS770101 -0.870 - MEIH800101 -0.871 FASG890101 -0.876 MIYS990101 -0.911 - MIYS990102 -0.913 MIYS990104 -0.920 MIYS990105 -0.923 - MIYS990103 -0.930 CORJ870108 -0.959 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.96 0.75 -1.94 -5.68 4.54 -5.30 -3.86 -1.28 -0.62 5.54 - 6.81 -5.62 4.76 5.06 -4.47 -1.92 -3.99 0.21 3.34 5.39 -// -H CORJ870104 -D PRILS index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C CORJ870103 0.988 CORJ870107 0.973 PONP800101 0.913 - BASU050101 0.910 MANP780101 0.908 PONP800102 0.901 - NISK860101 0.901 PONP930101 0.901 CORJ870105 0.895 - MIYS850101 0.892 CORJ870106 0.889 PONP800103 0.884 - SWER830101 0.883 CORJ870102 0.881 RADA880108 0.880 - BASU050103 0.877 NISK800101 0.868 BIOV880101 0.867 - CORJ870101 0.863 PONP800108 0.861 ROSG850102 0.860 - CIDH920103 0.857 MEIH800103 0.856 WERD780101 0.850 - PONP800106 0.842 CIDH920101 0.840 BASU050102 0.838 - CIDH920105 0.838 CIDH920104 0.832 PLIV810101 0.821 - BIOV880102 0.815 KYTJ820101 0.812 JURD980101 0.812 - ZHOH040103 0.809 ROBB760106 0.808 ROBB790101 0.807 - ROBB760105 0.803 NADH010103 0.802 PARS000101 -0.800 - KRIW790101 -0.801 PUNT030101 -0.804 GUYH850103 -0.809 - OOBM770103 -0.814 GUYH850101 -0.815 PARJ860101 -0.823 - VINM940101 -0.826 KARP850102 -0.830 RACS770102 -0.838 - MEIH800102 -0.840 GRAR740102 -0.850 RACS770101 -0.860 - MEIH800101 -0.862 FASG890101 -0.865 MIYS990104 -0.905 - MIYS990105 -0.908 MIYS990103 -0.919 MIYS990101 -0.919 - MIYS990102 -0.920 CORJ870108 -0.972 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.26 0.08 -0.46 -1.30 0.83 -0.83 -0.73 -0.40 -0.18 1.10 - 1.52 -1.01 1.09 1.09 -0.62 -0.55 -0.71 -0.13 0.69 1.15 -// -H CORJ870105 -D ALTFT index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C CORJ870106 0.991 CORJ870107 0.968 NISK860101 0.901 - CORJ870104 0.895 BASU050101 0.888 CORJ870103 0.880 - MIYS850101 0.879 PONP930101 0.878 BEGF750102 0.878 - PONP800101 0.867 ROSG850102 0.864 BIOV880101 0.859 - WERD780101 0.858 QIAN880120 0.858 RADA880108 0.854 - MANP780101 0.853 BASU050103 0.852 SWER830101 0.848 - CORJ870102 0.848 PONP800102 0.841 BASU050102 0.834 - NISK800101 0.834 CIDH920103 0.832 LIFS790101 0.830 - CIDH920101 0.828 MEIH800103 0.827 PLIV810101 0.827 - ROBB790101 0.827 BIOV880102 0.823 CIDH920105 0.822 - PONP800103 0.821 CORJ870101 0.818 PONP800107 0.812 - QIAN880119 0.810 PONP800108 0.801 GUYH850102 -0.804 - VINM940102 -0.807 GEIM800110 -0.807 GUYH850101 -0.810 - CHOP780203 -0.815 PUNT030102 -0.817 FASG890101 -0.821 - MUNV940103 -0.829 FUKS010103 -0.829 GUYH850103 -0.830 - OOBM770103 -0.833 KARP850102 -0.834 PUNT030101 -0.834 - PARJ860101 -0.837 RACS770102 -0.839 MEIH800102 -0.839 - MIYS990105 -0.867 VINM940101 -0.873 RACS770101 -0.876 - PARS000101 -0.878 MEIH800101 -0.883 MIYS990104 -0.885 - MIYS990103 -0.894 MIYS990101 -0.897 MIYS990102 -0.898 - CORJ870108 -0.967 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.73 -1.03 -5.29 -6.13 0.64 -0.96 -2.90 -2.67 3.03 5.04 - 4.91 -5.99 3.34 5.20 -4.32 -3.00 -1.91 0.51 2.87 3.98 -// -H CORJ870106 -D ALTLS index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C CORJ870105 0.991 CORJ870107 0.963 NISK860101 0.908 - BASU050101 0.891 CORJ870104 0.889 PONP930101 0.889 - PONP800101 0.887 MIYS850101 0.884 CORJ870103 0.880 - WERD780101 0.878 ROSG850102 0.878 BIOV880101 0.870 - MANP780101 0.867 QIAN880120 0.866 PONP800102 0.864 - RADA880108 0.863 BASU050102 0.859 BASU050103 0.858 - NISK800101 0.857 BEGF750102 0.853 CORJ870102 0.845 - SWER830101 0.845 PONP800103 0.840 CIDH920103 0.837 - LIFS790101 0.836 ROBB790101 0.834 CIDH920101 0.832 - CORJ870101 0.829 CIDH920105 0.826 ZHOH040103 0.822 - MEIH800103 0.822 PLIV810101 0.820 BIOV880102 0.818 - PONP800108 0.813 PTIO830102 0.809 PONP800106 0.807 - QIAN880121 0.806 QIAN880119 0.803 PONP800107 0.800 - CHOP780216 -0.803 GEIM800110 -0.812 CHOP780203 -0.813 - PUNT030102 -0.814 PARJ860101 -0.820 KRIW790101 -0.825 - OOBM770103 -0.826 GUYH850102 -0.830 VINM940102 -0.830 - PUNT030101 -0.833 GUYH850101 -0.833 MEIH800102 -0.835 - GUYH850103 -0.837 RACS770102 -0.839 FASG890101 -0.841 - FUKS010103 -0.846 MUNV940103 -0.848 KARP850102 -0.870 - RACS770101 -0.879 MIYS990105 -0.879 VINM940101 -0.881 - MEIH800101 -0.882 PARS000101 -0.891 MIYS990101 -0.898 - MIYS990102 -0.899 MIYS990104 -0.902 MIYS990103 -0.909 - CORJ870108 -0.968 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -1.35 -3.89 -10.96 -11.88 4.37 -1.34 -4.56 -5.82 6.54 10.93 - 9.88 -11.92 7.47 11.35 -10.86 -6.21 -4.83 1.80 7.61 8.20 -// -H CORJ870107 -D TOTFT index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C CORJ870104 0.973 CORJ870103 0.969 CORJ870105 0.968 - CORJ870106 0.963 NISK860101 0.928 PONP930101 0.923 - PONP800101 0.923 BASU050101 0.913 MIYS850101 0.911 - MANP780101 0.908 PONP800102 0.905 ROSG850102 0.898 - RADA880108 0.889 BIOV880101 0.889 WERD780101 0.887 - PONP800103 0.884 NISK800101 0.884 MEIH800103 0.883 - BASU050103 0.883 SWER830101 0.883 CORJ870102 0.881 - CORJ870101 0.878 CIDH920103 0.866 PONP800108 0.859 - BASU050102 0.855 BIOV880102 0.850 CIDH920105 0.848 - CIDH920101 0.843 QIAN880120 0.840 CIDH920104 0.835 - PONP800106 0.834 ROBB790101 0.832 BEGF750102 0.831 - PLIV810101 0.829 ZHOH040103 0.822 LIFS790101 0.820 - ROBB760106 0.819 DESM900102 0.819 NADH010103 0.817 - DESM900101 0.815 CASG920101 0.813 NADH010102 0.812 - PTIO830102 0.810 NADH010104 0.808 QIAN880121 0.806 - PONP800107 0.805 JURD980101 0.804 KYTJ820101 0.801 - ROBB760105 0.800 FUKS010103 -0.805 RACS770103 -0.808 - PUNT030102 -0.810 VINM940102 -0.811 KRIW790102 -0.816 - MUNV940103 -0.832 KRIW790101 -0.832 GUYH850103 -0.833 - GUYH850102 -0.834 PARJ860101 -0.838 GRAR740102 -0.840 - GUYH850101 -0.841 PUNT030101 -0.848 OOBM770103 -0.851 - PARS000101 -0.865 KARP850102 -0.866 MEIH800102 -0.871 - RACS770102 -0.871 FASG890101 -0.871 VINM940101 -0.877 - MEIH800101 -0.897 RACS770101 -0.898 MIYS990105 -0.918 - MIYS990104 -0.924 MIYS990101 -0.929 MIYS990102 -0.930 - MIYS990103 -0.937 CORJ870108 -0.996 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.56 -0.26 -2.87 -4.31 1.78 -2.31 -2.35 -1.35 0.81 3.83 - 4.09 -4.08 3.11 3.67 -3.22 -1.85 -1.97 -0.11 2.17 3.31 -// -H CORJ870108 -D TOTLS index (Cornette et al., 1987) -R PMID:3656427 -A Cornette, J.L., Cease, K.B., Margalit, H., Spouge, J.L., Berzofsky, J.A. and - DeLisi, C. -T Hydrophobicity Scales and Computational Techniques for Detecting Amphipathic - Structures in Proteins -J J. Mol. Biol. 196, 659-685, (1987) -C MIYS990103 0.933 MIYS990102 0.929 MIYS990101 0.928 - MIYS990104 0.918 MIYS990105 0.909 RACS770101 0.891 - MEIH800101 0.889 FASG890101 0.872 KARP850102 0.868 - RACS770102 0.863 VINM940101 0.862 MEIH800102 0.860 - PARS000101 0.854 GUYH850101 0.851 PUNT030101 0.845 - GRAR740102 0.838 KRIW790101 0.833 GUYH850103 0.831 - PARJ860101 0.831 MUNV940103 0.830 OOBM770103 0.829 - GUYH850102 0.821 FUKS010103 0.818 PUNT030102 0.810 - VINM940102 0.810 KYTJ820101 -0.802 NADH010102 -0.803 - NADH010104 -0.805 JURD980101 -0.806 DESM900101 -0.809 - DESM900102 -0.811 ROBB760105 -0.811 LIFS790101 -0.811 - PTIO830102 -0.812 NADH010103 -0.812 ROBB760106 -0.820 - ZHOH040103 -0.821 BEGF750102 -0.825 ROBB790101 -0.829 - CIDH920104 -0.829 BIOV880102 -0.831 QIAN880120 -0.834 - PLIV810101 -0.838 CIDH920105 -0.843 CIDH920101 -0.845 - PONP800108 -0.853 BASU050102 -0.855 PONP800106 -0.859 - CIDH920103 -0.864 CORJ870101 -0.866 MEIH800103 -0.870 - WERD780101 -0.878 NISK800101 -0.880 BASU050103 -0.883 - CORJ870102 -0.883 SWER830101 -0.884 BIOV880101 -0.886 - PONP800103 -0.889 ROSG850102 -0.890 RADA880108 -0.893 - MIYS850101 -0.910 PONP800102 -0.911 MANP780101 -0.911 - PONP930101 -0.912 BASU050101 -0.916 NISK860101 -0.920 - PONP800101 -0.928 CORJ870103 -0.959 CORJ870105 -0.967 - CORJ870106 -0.968 CORJ870104 -0.972 CORJ870107 -0.996 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.37 1.33 6.29 8.93 -4.47 3.88 4.04 3.39 -1.65 -7.92 - -8.68 7.70 -7.13 -7.96 6.25 4.08 4.02 0.79 -4.73 -6.94 -// -H MIYS990101 -D Relative partition energies derived by the Bethe approximation - (Miyazawa-Jernigan, 1999) -R PMID:10336383 -A Miyazawa, S. and Jernigan, R. L. -T Self-consistent estimation of inter-residue protein contact energies based on - an equilibrium mixture approximation of residues -J Proteins 34, 49-68 (1999) -C MIYS990102 1.000 MIYS990103 0.957 MIYS990104 0.954 - MIYS990105 0.951 PARJ860101 0.944 MEIH800101 0.940 - CORJ870108 0.928 FASG890101 0.926 RACS770101 0.920 - RACS770102 0.917 MEIH800102 0.913 WOLS870101 0.912 - GRAR740102 0.903 GUYH850101 0.891 PUNT030101 0.888 - OOBM770103 0.887 GUYH850103 0.886 BULH740101 0.884 - PUNT030102 0.881 VINM940101 0.880 KRIW790101 0.870 - GUYH850102 0.865 VINM940102 0.841 PARS000101 0.830 - KARP850102 0.825 KRIW790102 0.821 ROSM880102 0.819 - KIDA850101 0.817 VINM940103 0.817 WOEC730101 0.805 - HOPT810101 0.803 ZIMJ680105 -0.801 CHOC760103 -0.803 - DESM900102 -0.809 LIFS790101 -0.811 NADH010101 -0.816 - ARGP820103 -0.817 VENT840101 -0.821 NOZY710101 -0.821 - WILM950101 -0.822 COWR900101 -0.826 EISD860101 -0.827 - EISD860103 -0.829 PTIO830102 -0.833 CASG920101 -0.834 - RADA880102 -0.837 NADH010105 -0.837 KYTJ820101 -0.840 - ROSM880104 -0.843 CIDH920101 -0.847 JURD980101 -0.852 - MEEJ810102 -0.854 CORJ870101 -0.854 ROSM880105 -0.854 - BLAS910101 -0.857 NISK800101 -0.860 PONP800108 -0.866 - MEEJ810101 -0.867 NADH010102 -0.870 ZHOH040101 -0.871 - PONP800103 -0.871 CIDH920102 -0.872 PONP800102 -0.874 - PONP800107 -0.877 ROBB790101 -0.883 PONP800101 -0.883 - NADH010104 -0.885 NADH010103 -0.887 MEIH800103 -0.891 - CORJ870105 -0.897 CORJ870106 -0.898 CIDH920103 -0.900 - BIOV880102 -0.901 FAUJ830101 -0.907 CORJ870103 -0.911 - WERD780101 -0.912 ROSG850102 -0.913 MANP780101 -0.913 - CIDH920104 -0.915 PONP930101 -0.916 CIDH920105 -0.916 - GUOD860101 -0.917 CORJ870104 -0.919 CORJ870102 -0.922 - SWER830101 -0.923 ZHOH040103 -0.926 CORJ870107 -0.929 - RADA880108 -0.932 BASU050102 -0.935 BASU050103 -0.940 - PLIV810101 -0.944 BASU050101 -0.945 BIOV880101 -0.947 - NISK860101 -0.957 MIYS850101 -0.977 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.02 0.44 0.63 0.72 -0.96 0.56 0.74 0.38 0.00 -1.89 - -2.29 1.01 -1.36 -2.22 0.47 0.55 0.25 -1.28 -0.88 -1.34 -// -H MIYS990102 -D Optimized relative partition energies - method A (Miyazawa-Jernigan, 1999) -R PMID:10336383 -A Miyazawa, S. and Jernigan, R. L. -T Self-consistent estimation of inter-residue protein contact energies based on - an equilibrium mixture approximation of residues -J Proteins 34, 49-68 (1999) -C MIYS990101 1.000 MIYS990103 0.958 MIYS990104 0.956 - MIYS990105 0.953 PARJ860101 0.942 MEIH800101 0.941 - FASG890101 0.929 CORJ870108 0.929 RACS770101 0.921 - RACS770102 0.919 MEIH800102 0.916 WOLS870101 0.910 - GRAR740102 0.903 GUYH850101 0.892 OOBM770103 0.891 - GUYH850103 0.888 PUNT030101 0.887 VINM940101 0.883 - PUNT030102 0.882 BULH740101 0.880 KRIW790101 0.873 - GUYH850102 0.868 VINM940102 0.842 PARS000101 0.830 - KARP850102 0.828 KRIW790102 0.826 VINM940103 0.818 - ROSM880102 0.818 KIDA850101 0.817 WOEC730101 0.805 - HOPT810101 0.804 CHOP780202 -0.801 CHOC760103 -0.805 - DESM900102 -0.811 LIFS790101 -0.813 ARGP820103 -0.814 - NADH010101 -0.815 NOZY710101 -0.819 VENT840101 -0.820 - WILM950101 -0.822 EISD860101 -0.824 COWR900101 -0.825 - EISD860103 -0.831 RADA880102 -0.834 PTIO830102 -0.834 - NADH010105 -0.838 CASG920101 -0.838 ROSM880104 -0.839 - KYTJ820101 -0.840 CIDH920101 -0.846 MEEJ810102 -0.853 - JURD980101 -0.853 ROSM880105 -0.854 BLAS910101 -0.854 - CORJ870101 -0.859 NISK800101 -0.863 MEEJ810101 -0.866 - PONP800108 -0.869 ZHOH040101 -0.870 CIDH920102 -0.870 - NADH010102 -0.872 PONP800103 -0.875 PONP800102 -0.877 - PONP800107 -0.879 ROBB790101 -0.885 PONP800101 -0.886 - NADH010104 -0.888 NADH010103 -0.889 MEIH800103 -0.893 - CORJ870105 -0.898 CORJ870106 -0.899 CIDH920103 -0.899 - BIOV880102 -0.902 FAUJ830101 -0.908 CORJ870103 -0.913 - WERD780101 -0.914 CIDH920105 -0.915 MANP780101 -0.915 - GUOD860101 -0.916 CIDH920104 -0.916 ROSG850102 -0.916 - PONP930101 -0.919 CORJ870102 -0.920 CORJ870104 -0.920 - SWER830101 -0.921 ZHOH040103 -0.927 CORJ870107 -0.930 - RADA880108 -0.934 BASU050102 -0.936 BASU050103 -0.940 - PLIV810101 -0.942 BASU050101 -0.945 BIOV880101 -0.948 - NISK860101 -0.960 MIYS850101 -0.978 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.00 0.07 0.10 0.12 -0.16 0.09 0.12 0.06 0.00 -0.31 - -0.37 0.17 -0.22 -0.36 0.08 0.09 0.04 -0.21 -0.14 -0.22 -// -H MIYS990103 -D Optimized relative partition energies - method B (Miyazawa-Jernigan, 1999) -R PMID:10336383 -A Miyazawa, S. and Jernigan, R. L. -T Self-consistent estimation of inter-residue protein contact energies based on - an equilibrium mixture approximation of residues -J Proteins 34, 49-68 (1999) -C MIYS990104 0.995 MIYS990105 0.984 MIYS990102 0.958 - FASG890101 0.957 MIYS990101 0.957 VINM940101 0.951 - KRIW790101 0.944 CORJ870108 0.933 MEIH800101 0.923 - MEIH800102 0.917 GUYH850102 0.914 OOBM770103 0.908 - RACS770102 0.908 GUYH850101 0.907 GRAR740102 0.904 - KARP850102 0.901 KRIW790102 0.899 VINM940102 0.895 - RACS770101 0.887 VINM940103 0.886 PUNT030102 0.881 - PARS000101 0.879 PUNT030101 0.864 PARJ860101 0.859 - GUYH850103 0.857 KRIW710101 0.856 FUKS010104 0.845 - RACS770103 0.840 MUNV940103 0.831 OOBM770101 0.827 - HOPT810101 0.825 WOEC730101 0.824 WOLS870101 0.815 - MONM990101 0.809 KIDA850101 0.805 GUYH850104 0.805 - FUKS010103 0.805 FUKS010102 0.803 GEIM800107 -0.803 - JANJ790102 -0.804 BLAS910101 -0.806 PONP800106 -0.807 - PALJ810104 -0.811 PTIO830102 -0.820 KANM800102 -0.823 - ZHOH040101 -0.824 CHOP780202 -0.825 NADH010101 -0.825 - GUOD860101 -0.828 QIAN880120 -0.829 ROSM880105 -0.829 - KYTJ820101 -0.833 JANJ780102 -0.834 ROBB760106 -0.836 - LIFS790101 -0.838 QIAN880121 -0.838 CIDH920101 -0.838 - JURD980101 -0.845 CIDH920102 -0.845 ROBB790101 -0.854 - DESM900101 -0.854 PLIV810101 -0.861 CIDH920103 -0.870 - DESM900102 -0.876 BAEK050101 -0.877 CORJ870102 -0.877 - SWER830101 -0.878 NADH010105 -0.879 CIDH920105 -0.886 - FAUJ830101 -0.893 CORJ870105 -0.894 CIDH920104 -0.902 - MEIH800103 -0.906 CORJ870106 -0.909 CASG920101 -0.915 - BASU050101 -0.918 MANP780101 -0.918 CORJ870104 -0.919 - PONP800108 -0.920 NADH010102 -0.923 BIOV880102 -0.923 - BASU050102 -0.924 CORJ870103 -0.930 ZHOH040103 -0.933 - CORJ870101 -0.936 CORJ870107 -0.937 NISK800101 -0.938 - WERD780101 -0.938 PONP800101 -0.940 PONP800103 -0.943 - BASU050103 -0.943 NADH010104 -0.944 NADH010103 -0.944 - PONP800102 -0.946 RADA880108 -0.950 PONP930101 -0.951 - MIYS850101 -0.952 BIOV880101 -0.962 ROSG850102 -0.966 - NISK860101 -0.974 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.03 0.09 0.13 0.17 -0.36 0.13 0.23 0.09 -0.04 -0.33 - -0.38 0.32 -0.30 -0.34 0.20 0.10 0.01 -0.24 -0.23 -0.29 -// -H MIYS990104 -D Optimized relative partition energies - method C (Miyazawa-Jernigan, 1999) -R PMID:10336383 -A Miyazawa, S. and Jernigan, R. L. -T Self-consistent estimation of inter-residue protein contact energies based on - an equilibrium mixture approximation of residues -J Proteins 34, 49-68 (1999) -C MIYS990103 0.995 MIYS990105 0.990 VINM940101 0.965 - MIYS990102 0.956 MIYS990101 0.954 FASG890101 0.949 - KRIW790101 0.945 OOBM770103 0.931 GUYH850102 0.928 - MEIH800101 0.925 VINM940102 0.922 CORJ870108 0.918 - GRAR740102 0.910 KARP850102 0.909 MEIH800102 0.903 - PARS000101 0.903 VINM940103 0.898 RACS770102 0.892 - GUYH850101 0.889 KRIW790102 0.889 RACS770101 0.884 - GUYH850103 0.879 PARJ860101 0.877 PUNT030102 0.874 - FUKS010104 0.862 PUNT030101 0.857 HOPT810101 0.843 - KRIW710101 0.837 RACS770103 0.833 WOLS870101 0.830 - MUNV940103 0.827 WOEC730101 0.827 FUKS010103 0.822 - KARP850101 0.822 KIDA850101 0.822 FUKS010102 0.818 - OOBM770101 0.806 LEVM760101 0.801 KYTJ820101 -0.800 - MEEJ810102 -0.807 KANM800102 -0.808 NADH010101 -0.810 - PALJ810104 -0.810 JANJ780102 -0.811 JURD980101 -0.813 - ROBB760106 -0.815 PTIO830102 -0.818 BLAS910101 -0.818 - DESM900101 -0.828 CHOP780202 -0.829 MEEJ810101 -0.831 - QIAN880121 -0.832 QIAN880120 -0.833 ROSM880105 -0.841 - LIFS790101 -0.843 GUOD860101 -0.846 DESM900102 -0.854 - CIDH920101 -0.860 ZHOH040101 -0.864 PLIV810101 -0.869 - NADH010105 -0.874 CIDH920102 -0.877 ROBB790101 -0.877 - CIDH920103 -0.883 CORJ870105 -0.885 CORJ870102 -0.886 - SWER830101 -0.887 BAEK050101 -0.892 MEIH800103 -0.894 - CORJ870106 -0.902 CORJ870104 -0.905 FAUJ830101 -0.906 - CIDH920105 -0.908 MANP780101 -0.909 NADH010102 -0.910 - CIDH920104 -0.916 BASU050101 -0.918 PONP800108 -0.918 - CORJ870103 -0.920 PONP800101 -0.924 CORJ870107 -0.924 - PONP800103 -0.929 PONP800102 -0.930 CASG920101 -0.931 - BIOV880102 -0.932 CORJ870101 -0.932 BASU050103 -0.938 - NISK800101 -0.938 NADH010103 -0.938 NADH010104 -0.940 - BASU050102 -0.942 RADA880108 -0.943 WERD780101 -0.949 - PONP930101 -0.949 MIYS850101 -0.953 ZHOH040103 -0.954 - ROSG850102 -0.962 BIOV880101 -0.965 NISK860101 -0.980 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.04 0.07 0.13 0.19 -0.38 0.14 0.23 0.09 -0.04 -0.34 - -0.37 0.33 -0.30 -0.38 0.19 0.12 0.03 -0.33 -0.29 -0.29 -// -H MIYS990105 -D Optimized relative partition energies - method D (Miyazawa-Jernigan, 1999) -R PMID:10336383 -A Miyazawa, S. and Jernigan, R. L. -T Self-consistent estimation of inter-residue protein contact energies based on - an equilibrium mixture approximation of residues -J Proteins 34, 49-68 (1999) -C MIYS990104 0.990 MIYS990103 0.984 FASG890101 0.959 - MIYS990102 0.953 VINM940101 0.952 MIYS990101 0.951 - OOBM770103 0.936 GRAR740102 0.928 KRIW790101 0.925 - MEIH800102 0.914 GUYH850102 0.912 MEIH800101 0.912 - CORJ870108 0.909 GUYH850101 0.895 RACS770102 0.893 - VINM940102 0.891 KARP850102 0.888 KRIW790102 0.887 - GUYH850103 0.883 VINM940103 0.880 PARJ860101 0.878 - PARS000101 0.877 PUNT030101 0.876 PUNT030102 0.874 - FUKS010104 0.870 RACS770101 0.866 KIDA850101 0.865 - HOPT810101 0.862 RACS770103 0.852 WOEC730101 0.849 - OOBM770101 0.844 WOLS870101 0.838 LEVM760101 0.828 - GUYH850104 0.821 JANJ780103 0.816 FUKS010102 0.813 - KRIW710101 0.801 EISD860103 -0.815 MEEJ810102 -0.817 - KYTJ820101 -0.818 JANJ790102 -0.820 NADH010101 -0.821 - JURD980101 -0.829 DESM900101 -0.832 ZHOH040101 -0.838 - MEEJ810101 -0.839 JANJ780102 -0.846 GUOD860101 -0.846 - BLAS910101 -0.848 CIDH920101 -0.849 NADH010105 -0.856 - CIDH920102 -0.859 CORJ870105 -0.867 PLIV810101 -0.869 - BAEK050101 -0.871 ROSM880105 -0.873 DESM900102 -0.875 - CIDH920103 -0.876 CORJ870106 -0.879 CORJ870102 -0.882 - SWER830101 -0.883 ROBB790101 -0.885 BASU050101 -0.900 - CIDH920105 -0.901 MANP780101 -0.906 CORJ870104 -0.908 - CIDH920104 -0.916 CORJ870107 -0.918 PONP800101 -0.918 - BASU050102 -0.919 MEIH800103 -0.919 FAUJ830101 -0.920 - NADH010102 -0.923 CORJ870103 -0.923 PONP800102 -0.927 - PONP800108 -0.927 BASU050103 -0.928 PONP800103 -0.928 - NADH010104 -0.934 NISK800101 -0.935 WERD780101 -0.936 - PONP930101 -0.936 CASG920101 -0.937 CORJ870101 -0.937 - ZHOH040103 -0.939 NADH010103 -0.939 BIOV880102 -0.947 - RADA880108 -0.950 MIYS850101 -0.951 ROSG850102 -0.968 - NISK860101 -0.972 BIOV880101 -0.975 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.02 0.08 0.10 0.19 -0.32 0.15 0.21 -0.02 -0.02 -0.28 - -0.32 0.30 -0.25 -0.33 0.11 0.11 0.05 -0.27 -0.23 -0.23 -// -H ENGD860101 -D Hydrophobicity index (Engelman et al., 1986) -R PMID:3521657 -A Engelman, D.M., Steitz, T.A. and Goldman, A. -T Identifying Nonpolar Transbilayer Helices in Amino Acid Sequences of Membrane - Proteins -J Ann.Rev.Biophys.Biophys.Chem. 15, 321-353 (1986) -C PRAM900101 1.000 ROSM880101 0.917 VHEG790101 0.909 - KUHL950101 0.908 OOBM770101 0.907 JANJ780101 0.901 - ROSM880102 0.891 PUNT030101 0.889 JANJ780103 0.884 - HOPT810101 0.882 GUYH850104 0.881 LEVM760101 0.881 - WOEC730101 0.871 PUNT030102 0.870 GUYH850105 0.867 - KIDA850101 0.866 GRAR740102 0.855 ZIMJ680103 0.854 - CHOC760102 0.826 MONM990101 0.820 GUYH850101 0.820 - FAUJ880109 0.814 RADA880104 -0.803 OLSK800101 -0.805 - CHOC760103 -0.813 NADH010103 -0.815 WARP780101 -0.827 - EISD860103 -0.831 NADH010101 -0.843 KYTJ820101 -0.850 - FAUJ830101 -0.853 JANJ780102 -0.860 JURD980101 -0.861 - EISD860101 -0.862 BLAS910101 -0.864 RADA880107 -0.865 - NADH010102 -0.870 WOLR790101 -0.877 WOLR810101 -0.887 - JANJ790102 -0.890 DESM900102 -0.890 ROSM880105 -0.912 - RADA880101 -0.932 EISD840101 -0.936 JACR890101 -0.948 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -1.6 12.3 4.8 9.2 -2.0 4.1 8.2 -1.0 3.0 -3.1 - -2.8 8.8 -3.4 -3.7 0.2 -0.6 -1.2 -1.9 0.7 -2.6 -// -H FASG890101 -D Hydrophobicity index (Fasman, 1989) -R -A Fasman, G.D. -T Prediction of Protein Structure and the Principles of Protein Conformation -J Plenum, New York 1989, page 457, Table XVII -C MIYS990105 0.959 MIYS990103 0.957 MEIH800102 0.951 - MIYS990104 0.949 RACS770102 0.935 GUYH850101 0.934 - MIYS990102 0.929 MIYS990101 0.926 MEIH800101 0.919 - KRIW790101 0.914 GUYH850102 0.909 VINM940101 0.904 - KRIW790102 0.882 GUYH850104 0.872 RACS770101 0.872 - GRAR740102 0.872 CORJ870108 0.872 KARP850102 0.871 - OOBM770103 0.869 VINM940103 0.868 OOBM770101 0.868 - KRIW710101 0.865 KIDA850101 0.861 GUYH850103 0.860 - PUNT030102 0.853 PUNT030101 0.845 FUKS010104 0.844 - RACS770103 0.842 ROSM880102 0.839 JANJ780103 0.838 - VINM940102 0.836 PARJ860101 0.825 KUHL950101 0.821 - JANJ780101 0.813 FUKS010103 0.812 GUOD860101 -0.801 - DESM900101 -0.808 CORJ870105 -0.821 ROSM880105 -0.822 - PONP800106 -0.823 NADH010101 -0.838 CORJ870106 -0.841 - KYTJ820101 -0.844 CIDH920103 -0.846 CHOC760103 -0.849 - BASU050101 -0.856 JURD980101 -0.857 PLIV810101 -0.858 - BAEK050101 -0.859 CIDH920105 -0.860 ROBB790101 -0.860 - EISD860103 -0.863 CORJ870104 -0.865 CORJ870107 -0.871 - JANJ790102 -0.875 CORJ870103 -0.876 NADH010105 -0.877 - DESM900102 -0.879 BASU050102 -0.881 JANJ790101 -0.885 - CIDH920104 -0.903 JANJ780102 -0.903 MANP780101 -0.904 - PONP930101 -0.907 ZHOH040103 -0.910 FAUJ830101 -0.911 - PONP800108 -0.913 BASU050103 -0.915 CORJ870101 -0.921 - NISK800101 -0.923 MEIH800103 -0.924 CASG920101 -0.924 - WERD780101 -0.926 BIOV880102 -0.928 NADH010102 -0.929 - PONP800101 -0.932 PONP800103 -0.936 MIYS850101 -0.938 - PONP800102 -0.944 NADH010104 -0.944 NADH010103 -0.945 - NISK860101 -0.949 ROSG850102 -0.976 RADA880108 -0.977 - BIOV880101 -0.982 -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - -0.21 2.11 0.96 1.36 -6.04 1.52 2.30 0.00 -1.23 -4.81 - -4.68 3.88 -3.66 -4.65 0.75 1.74 0.78 -3.32 -1.01 -3.50 -// -H KARS160101 -D Number of vertices (order of the graph) (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.00 8.00 5.00 5.00 3.00 6.00 6.00 1.00 7.00 5.00 - 5.00 6.00 5.00 8.00 4.00 3.00 4.00 11.00 9.00 4.00 -// -H KARS160102 -D Number of edges (size of the graph) (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 7.00 4.00 4.00 2.00 5.00 5.00 0.00 6.00 4.00 - 4.00 5.00 4.00 8.00 4.00 2.00 3.00 12.00 9.00 3.00 -// -H KARS160103 -D Total weighted degree of the graph (obtained by adding all the weights of - all the vertices) (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.00 12.00 8.00 8.00 4.00 10.00 10.00 0.00 14.00 8.00 - 8.00 10.00 8.00 14.00 8.00 4.00 6.00 24.00 18.00 6.00 -// -H KARS160104 -D Weighted domination number (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 6.00 4.00 4.00 2.00 4.00 5.00 1.00 6.000 4.00 - 4.00 4.00 4.00 6.00 4.00 2.00 3.00 8.00 7.00 3.00 -// -H KARS160105 -D Average eccentricity (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 8.120 5.00 5.17 2.33 5.860 6.00 0.00 6.71 3.25 - 5.00 7.00 5.40 7.00 4.00 1.670 3.250 11.10 8.88 3.25 -// -H KARS160106 -D Radius (minimum eccentricity) (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 6.00 3.00 3.00 1.00 4.00 4.00 0.00 6.000 3.00 - 3.00 5.00 3.00 6.000 4.00 2.00 1.00 9.000 6.000 1.00 -// -H KARS160107 -D Diameter (maximum eccentricity) (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 12.00 6.00 6.00 3.00 8.00 8.00 0.00 9.00 6.00 - 6.00 9.00 7.00 11.000 4.000 3.00 4.00 14.000 13.000 4.00 -// -H KARS160108 -D Average weighted degree (total degree, divided by the number of vertices) - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 1.50 1.60 1.60 1.333 1.667 1.667 0.00 2.00 1.600 - 1.60 1.667 1.60 1.750 2.00 1.333 1.50 2.182 2.000 1.50 -// -H KARS160109 -D Maximum eigenvalue of the weighted Laplacian matrix of the graph - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.00 12.499 11.539 11.539 6.243 12.207 11.530 0.00 12.876 10.851 - 11.029 10.363 9.49 14.851 12.00 5.00 9.928 13.511 12.868 9.928 -// -H KARS160110 -D Minimum eigenvalue of the weighted Laplacian matrix of the graph - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.00 -4.307 -4.178 -4.178 -2.243 -4.255 -3.425 0.00 -3.721 -6.085 - -4.729 -3.151 -2.812 -4.801 -4.00 1.00 -3.928 -6.324 -4.793 -3.928 -// -H KARS160111 -D Average eigenvalue of the Laplacian matrix of the the graph - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 1.00 3.500 3.20 3.20 2.00 3.333 3.333 0.00 4.286 1.80 - 3.20 3.00 2.80 4.25 4.00 2.00 3.00 4.00 4.333 3.00 -// -H KARS160112 -D Second smallest eigenvalue of the Laplacian matrix of the graph - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 2.00 -2.590 0.528 0.528 2.00 -1.043 -0.538 0.00 -1.185 -1.517 - 1.052 -0.536 0.678 -1.672 4.00 2.00 3.00 -2.576 -2.054 3.00 -// -H KARS160113 -D Weighted domination number using the atomic number (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.00 19.00 12.00 12.00 6.00 12.00 12.00 1.00 15.00 12.00 - 12.00 12.00 18.00 18.00 12.00 6.00 6.00 24.00 18.00 6.00 -// -H KARS160114 -D Average weighted eccentricity based on the the atomic number - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.00 31.444 16.50 16.40 16.670 21.167 21.00 3.50 23.10 15.60 - 15.60 24.50 27.20 23.25 12.00 13.33 12.40 27.50 27.78 10.50 -// -H KARS160115 -D Weighted radius based on the atomic number (minimum eccentricity) - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.00 20.00 14.00 12.00 12.00 15.00 14.00 1.00 18.00 12.00 - 12.00 18.00 18.00 18.00 12.00 8.00 8.00 18.00 20.00 6.00 -// -H KARS160116 -D Weighted diameter based on the atomic number (maximum eccentricity) - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.00 38.00 20.00 20.00 22.00 24.00 26.00 6.00 31.00 18.00 - 18.00 31.00 34.00 24.00 12.00 20.00 14.00 36.00 38.00 12.00 -// -H KARS160117 -D Total weighted atomic number of the graph (obtained by summing all the atomic - number of each of the vertices in the graph) (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 12.00 45.00 33.007 34.00 28.00 39.00 40.00 7.00 47.00 30.00 - 30.00 37.00 40.00 48.00 24.00 22.00 27.00 68.00 56.00 24.007 -// -H KARS160118 -D Average weighted atomic number or degree based on atomic number in the graph - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.00 5.00 6.60 6.80 9.33 6.50 6.67 3.50 4.70 6.00 - 6.00 6.17 8.00 6.00 6.00 7.33 5.40 5.667 6.22 6.00 -// -H KARS160119 -D Weighted maximum eigenvalue based on the atomic numbers - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 12.00 23.343 27.708 28.634 28.00 27.831 28.731 7.00 24.243 24.841 - 25.021 22.739 31.344 26.993 24.00 20.00 23.819 29.778 28.252 24.00 -// -H KARS160120 -D Weighted minimum eigenvalue based on the atomic numbers - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -1.734 -1.641 - 0.00 -0.179 0.00 0.00 0.00 0.00 -4.227 0.211 -0.96 0.00 -// -H KARS160121 -D Weighted average eigenvalue based on the atomic numbers - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 6.00 10.667 10.00 10.40 11.333 10.50 10.667 3.50 10.400 9.60 - 9.60 10.167 13.60 12.00 12.00 8.667 9.00 12.75 12.222 9.00 -// -H KARS160122 -D Weighted second smallest eigenvalue of the weighted Laplacian matrix - (Karkbara-Knisley, 2016) -R -A Karkbara, S. and Knisley, D. -T A graph-theoretic model of single point mutations in the cystic fibrosis - transmembrane conductance regulator -J J. Adv. Biotechnol. Vol.6, No.1, 780-786 (2016) -C -I A/L R/K N/M D/F C/P Q/S E/T G/W H/Y I/V - 0.00 4.20 3.00 2.969 6.00 1.849 1.822 0.00 1.605 3.373 - 3.113 1.372 2.656 2.026 12.00 6.00 6.00 2.044 1.599 6.00 -// diff --git a/PyBioMed/doc/_build/doctrees/User_guide.doctree b/PyBioMed/doc/_build/doctrees/User_guide.doctree deleted file mode 100644 index 6aa4c32b9d18551cc01852845e6f0673d649ec62..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 97512 zcmeEP2Vi5x(LUM%ruPow2%HVJ&fPx45p|v%9miv+eprr)MhD zi}m7M&0ns}c#S`Z@w~@rx)P^ifK_?s8>X-y4uK|1HjpQy#c6J7mL&NMUk%_X=KlHfYj_9^TPf>BQg(Vf2_f@7!`RRJ~cq4lfk~atte4ZdPsUw;)d7@0Hg`n})swWxQ zOBxuO@yLOqf3lIir~w)R&x;((+L`a_Da~TFOZikId#WQJMA0gb(`1}x)fIQTk!^L* z&s(MGC=?c*;`a&h7WY;YV*@)e)TxS{C3y`c>Mn#>QBmDIOxKb6> zw~(9Oo}0~A&z8mGtYfZxonvGV1Db`Isp`2mWzVHYM|Er}>eCayGbzLaUzNoO4Hh zoie(>$Q}uTi{&EGsrqipcHq^CThm`&3>Qi<>>*Kgjj@Eovtg@EqaTB|GywAHmnx@9ImT@h%fm2$P! zNS~ZrtXH;GD)lm&^;T9F)wbv%=_5%)6=!PIOU>$Kt%cR;3mwdLSZ%Juk*8{V;mGtk zstGwj>}uOlI4XUf22iT0gH%(8F7c|raCG`&Cn<;2JD`|4?7FkA(2_n=Rr3xd;|{AC zbQX?DpXR6qnjwg$t8i@k3?~g|Cb|p9rQ2MQ<(xB@4NUYDj!zFb!97L8iEMS$p_*53 z;e_-_S{}Ae=_{O=K2v{g%2!C?RK> z>iWW|ZXw!bIaD|;eX3@XXjziKyl{H@RL!6(=8D1@=~hiQZe;jHvJZ@5OxcIA0^;q3GUw%X}{+OaBOhgLgR70yYY>8wMp+yn~e zrVk^Pv$1eq`dlYiQ<)7H&QG7?WU--es=>kq?z}p3=#Z!gPldtERhr zw!?)r=?nIdq&m8oK5Dv9oST8_s7AI_AJN)q(@a<9rAZToNfR@xV=!q%Zl}^Rvghi! zw8J-DA)8^yw^-lSG3djW^lGRnD5UCm;n4JI1s~7)p)rF)*UUl{EKXe$U)or#jOAzS z2iQ>8q-%Mxb#}2hllO~Sy*iOTvYwkIEmcjVk5mj*lj)XRy)KGVi*+>glvz!Kvt9FZ zLp79XzM4rNg>nL-9r@~}^kJmmvRl$eO`)3+q)9j9WoB`Ku-2-N+ycCFxmpd+S8qul zA-`U;Wifp?da8VNOY~4cE9pRWr zE@FM?kX5Tvg<{R83(ALQQg`JUn8o!9SwK5br+m4xud)LbqnO|6t8DWXDhSGX-!#52 z*79tY=-gVyac-_yU-E4em3d!$sa~j*{l3UH-%@4Khvqxun=hh|+n%qr`zpd$$nD7c zYKybzo7t}RZNtanJdw{+TLRR=Ts{X3DCwUW`~ zUjQq`xqKT@t08|fHL^&t^SL6MS99QL2oOb(%*}O7&(yB!>hJNR{XhaUzS-PNZE8t> z@>iD}<$AOw;_9_jw%2);?P^`I9^HzhlU$aToOb!r9yfwP;OoduxF@ zn-`eX7ZM2?4@TVMK}+#!!|X+1;a1t*6u6&xv5S`KXDkXYLC*IE?Mso;VOC#B+#Ll8SnL#XHQ!V|4`;~Y^fU%u+ZN~MmVB^0$mLQg`(nlN;w~=s zP3R9QJ8Qn$65{4-eqRbY8U2cYiL^L31697WJXguF&Tg^rtL)NfbI4by*B5F->(;@} z@=HUB(oa{YFRPORUni@msOLr9B0Gp63L#MKP1u45Xp^P2?e%_3-c#Bzm zE3(gO^L0+0(@Q#s8_2#@$LiaF_3dW$9VFD1B9Y|--PUM-lYgY8dMC>5oo4l2M1mZV zo7vXGc*IxEOM6oB>`Mfr#X7fr_%`x$E*0UgzT0j)>B9+i^*vNX@AYUwhHgObV@33S zv-$y0FA#=zDiz4B?}Hv`qbE?Ieh7uSKg@m@a{Y)|{ir7UepZVZqcB5vnbnVxIF5lh z#>+mX>4vHwx3gGa20!7&;7K}np9GVQC_V+kpEj$XA;N_2E?XbpZB{=^RLMQr+SNAX z(x8^U(%P;1xkhF_@5Rh1nwc+vnZ3mPMeul!S^X06NL22&dA!%GewlbA2XSjRc*IbU zT)k`(YAvW)WZS*^l}0|l>c!`2n$NF+&warDb@2KPv-(Zql_=e7^ZG5b`fcL1M7;KZ z*UAF=wdwg8e|{GYj%Iw*g&d{`d^1HJhvv`;U})jYg|Bs|DAwgriN@oUXwCGD3uX-s zVSv?FE9B?q+N$4a% zX;yzlIXfCTLz`whW~ln>MlOHj#pOAg%in@aH-g`R;_uDsABZ9$`=w3sk7o5xM3JV0 zmT%8`LcrHbHcMOe&y5`Y#fzi!G)I30NBc(LZ{YavX7wM$F%kQt&GA3Y>c5C%nr?Ho zZfBbyHmm<`P`eIbLaks#T5ls665hUP0XLzD3(U>>W?OW|Avpmg8U!NR5vPzU zNAR&uOrnG0kq*S19 zs$X1A&*{TS$l?k-mnaL_)tnv7bj^qjc+X4sJy-Pc5|sfla3zJ4E|G|b;~UEQDg>qo z;1_hM;g*OK)NPs|P)v%A@)J9z9tnc?V_hBwDXK7L$E6q~EkUyHMkR<~ z{zJ^bAqDj{g?W!kc}KoXvjp^kJWWtuG?5^iJ-C3ro`jO42BIqvbRQtv$q()Dan3us-zU_ zHH>PDLUkONaYM_`I4Fe;;@C=pY( z;d3K{JW+yVAC3OO9^6SyVHq{Kxtg^+#BJHo;x=u*$W-92U$Zo>)H1)B0UTq!C*uPo@Dv25cq+%b#(I=*+vvE3 z!JekTnvIU9BL-|yq6VYm8I)$_M#nP=^4w{XQ?GB^kfv7_- zlRJgw`;tfiknZ)YCzI*z#s`u2fuh3 zl6bU;mouj37IBqs5wDf|kCjec_RaY8g+B6gg1<0m++gSfIAEn=Uf1e3glZCTu(0t}?_X#}SD3}ZA( ziXgFQtB<=G+w?4LMArjxEaFVAN?5v3I;Vb0)eFUbs55L-eBrZ_5 z3JI6f>KX`Qk4~%osX#xF{QQvl`H|!&dw)|^)q*WVZB+f3Irxd>TEa#Ef6-_- zIWjSl%tS{*u|PBs9SMeF(ded;R6IFhqyiJM;6x~xh(uGda4MV(g%g>vSSC6e9Z80b z(anLeXe1VlPDC@AXe>I>5*Zmy#f*_?A`+VjWQe?djieFVJeC<7*_;W4 z!y{v%F$-1j3u+@lYrb zoQOvz@Fg0_BwNDKOd=Fdj)sy+&8Mq*B36 zkw9egL?W6Q3B*H@cr+9Z$HT!?(g+2En@8{$Nwj3L5oCTi3}L45e`<3e7>WdvU^JXa z7=g%WkjvDo%vABA=y=z0>)P?o&c6Q6reYgQ#x}>3u@Nwx2}U!KiNHiE5K0D&IQ-IO^gNN$;enV z85;|ZrXul?jH?&1h6g|8_ULUkP3q3%X8?kxJJ@Cqw%LPi_JM4(;^%02uqJ+iz!bma zwkl0`>P=my`>z<}*A9?I)BQIb=dc;YZ}Fwj$)@}7=&^-O_i5eif6ocXbpHdMOz}s4 zm!>;8GvLB$vTenm2+??n*m0Wff9A9f;>vWli2a2UNYi~;+YoxSYhvxl^7aOs6Kb)Jn!_R{LfBA|;~KvWb_Fex-QB2IS!w=llxly5 z##kXMED($b<1r%`PHc)r&?6uw z6_3S767c|x1a$tfU^uWT6HCN{qlxeYdc{O4ms(8*O)`)`=NAYk0>JGwinZ)@rf7oB zZWC7b`!BAZ-reuKZioK{5SqrpDtxdCAMkd$FI8Cl2Nebd?{Scz0nc$cpCRc3%V7o<^DX9L4W)Lny|1>_~F1 ztrSNSlJOF;;_Qi9IGuyA>WM5u$4~;f4b&6wv51EhjzeII;~AS#QpAWg76i|WoWLL_ zN|5Z;jSeJmyJzQ-GfUcW6wYI_dc!&@zc>kW-1%i!(aB7{Ilomc*i#t5;VL>6ACSS* z5SZe0j&-?;C|kCx=nMusQ-Qgr7b%0{EX05Rw7vkORA|ja(i8T~j(~HQ4 zxCmb$+lL`A#l`s5O^7%^&1rBCJz{U%LwjFEE|JvNGWAwTJ$qnjsG@ece%hGcrHbC8 z5iW0vIb1);mwUK@4`it!AeT*c(jhS9{gP}<+^*P zx;p)}E?=^OGfHY(jZkcBYHN7o@YZCPZ?rOB@zrt*SP_XyOcL+(9Gwpl84H9*hPwI& z1_t{2d_9-s7Am#N+kNwJXV^=+TT=KVLk4CS1>rD-!}Kwg3d_&K6rI9vI1nC|Pn0T^ zqQvx-fWs6;FK{3P2pC`RPQMgQ{|ygQ0NjCL#J5Pu6iDJ9Lkxo=199?U!a^JXkV57L zM8ZJS0#w8%NT-mBLV7`RBEZnd2@+8xIFguwd>H>)h)X0y8oUz&;2Uqu1c4%jdLw@6 zh42t7DX>i}5;33%gLk}fJOyFm9uJg6(UwFsWw6GyL60*9)`%*}jHCvHBr(Q641waS zOGjFk*kxQhy)7|QtIBo&p*2iQH8e-iX=dce%555$xU_-2z9#3aO?0Ve@`Zxg@V*PkB#Q?uc zLrf3dNoQgJ%kEn-NJz#@#ER1pThHkngq0y?5gMWd(h&2+dpY7Eg)0!4Vgq9{N{Se< z#)8o9fGZj5;SwtQ8}zHo_d%+Y(Or=>2H$H}Kz>(l9tZsFuPXothwa`C006iENdG~X z;s?4IO^`bXG)h*Pq(W1}Yiayx7l5Vpu3~w3YrPwFfd>GDa`^uzGqDjlM-3ZBV2U8i zO13kqO}d@wrZ&P*Asb2`lEo*ah%iSus=FA)m%dw21!Yf>^9esC%&YyPx8_*oX*Cl$Tn;cvGODLpeR?DrA~OhoR*k4b&Ox6LDHRf z9{psPljgkNtfjn(0UVjbTyRNeP-YhK+a^08qM12uyJ; zqccj18Zl>UjO!SLOlnks?9wtC1FOOIPHD))WaMfUyS8z1Xp-U%y+CJMWp1vrlcq4N zb3%uN2`=2?U?uVxX0BNrw`jpXmH`|}^6JckuzXb2@VkZevvA>i;uVQ~0B2ervM_`Iq z;8zzrG16S@YpB@wtOj0*#K8J01XwJNUtrDdU0SPPvZ~->=gPS;9asSX@Px+F*Rk;64-|+B?;^!cre9B z8Qdr-gv5z>|B)@jU>BRKA436!$V(iz>0wD3vcW;8!FdpUyX2nP14` zl;t9h6c%}$3awisR@cKnje9`o%z+Ay>%zfwIqXNp$-xAa$2JB!s}5&yp?=kixN-p} zQpp(0PV5=(9+q-zH#r z7~%b#-S2=B%Hz8TOz}PD$zqxE(O4eeXTbX;VD?hf(iB~yFpo_M`7*A0k(Vp*m=uE( zNEhd=s{-CuVfB#ev--KVR7atp=IUiLLnxZR|q#iDUMPW!ZnCq58!? zfW})+|6~G9IkV*SFG@*r`Zpd-@gD{^N(vz{>6FudIl2j3^j4D7Dy-CooX8s3kE|R5 zERf@&2uyJpe#t&m>=2KQay*;?kC1?TY)1%(Ip=BHAd4+GC(qlgRd7~1SsgeKo=;Zy zi`7WvEwv*VT~j_SsU1ZrNoq&q0SARKxKUCFi6y7hj^XGgY|-bE)Q%-!dEUrgGkzS> zKt{(SFvSUs-6BpLHOlBj20TduW~Wg=G#{!o64`1>Cha)Mw^GOQwRY76;aJm3jE;|Q zs)9IB9!IlKhl8Gjq-(k4&@v z-GnWA8;SQ!0-k)p@_ZJ^p=8cRV2X2?F^g}?Ok>HM%Yf%eK;CVUfhNS>IW%jwYOqhJ zTrX~0vi8N+RN4>y1GY&(wg+i{7#*L)UI84QS}B)tlZQ{*u&mNA z1vIih-=KjnV^u+9{nhI`>SZ1Hj0L9|5KZ8MRSTl!;-rU@UL(mH%~^0MwNt#rUioBVB?p6*iXJZdxZK;tIeDi_I03IOoW6l9sr@74;I4#CT!0mW|;|FDYwhszWSMlX$ zrqIaA5P@p893to$*8_vA=;em-Ax7NXwqL2s{BlY+xgUhD00QK50|HZA$>fZZ;)XKk zYVQwcsH-GY_N~b6?%KOQzqk8%zozyXV#U0I*0Ou3NtTy%&*!VZuTyT_5o zAab0eR*DF|6oz?n=@ImJ9#1a4QA;k$321UDh9?|@$nOSUz^K~`HHyahT44|}oP$UK z-(JPHc!+UM?_fa9FHJkX1+jZYITxFe9D;r% z0-T4)xQrFzLeWrR*mEJ*Fw!jwsn=Wx30gb~04lAlOZEYYlyo2FLV(U=3T%?_uWT;l zO=PL&kY3M)OyL=`=foGry39E|-ZT8pg(ULyEayUquyZbC8{XY>AtWIpF-u|NTnKU_ z3Wz}Q6cOOKMErs*&nOThXao%t>J?N1&sujsR^089#W`kiUb2||Utq+le$bcN4lXlO z6~)wLd$5C>`$ZH1_lpa1AK8XA*wr)~&V)y>S9~HI9~(A?$A-tEn=;r4J%XK1!PrPL zn8Z$OykHMAJ;ygCjfq4iG^{_T*C>>9Q?uRAf|MWsXqyWJ@Ntz)4NB0msUzu0HHn~6!?|sI`_7m`-Onm(AsMVu+W1A zEn7R)W0x(k$RIl$AdR-bPL6YQ9AX!~6as7uEYagRYzw?sm)W(PfNX*5@MMZd^Sj&` z>a+!%OSFVZh{j9Aj?)f!45xJvS9X9!?6H(U?hIWP_w|5*G;TnE^%jiLC@F%(qHO~_ zo0 zJt*xD62~n&%-f#q;s2`+H)fxxb&?r~ZEbD(dZ$ zwHGjJFO;lhA3z4I>gMR*U&PG3STRElf8WNv5IJ|Q2+_A=nRQ^;yPE`nAOE;#uC?N+ zt%am%CH5ipa5x><>(psio40z`mvC0Rd)K>k(|;*|PY4p4k}tii4*M|H*kwL5XSKmG3D&!-pEKCT&PaYqWUIEApN_0Ch}$g zLq2aoV2ZagYNMnm6VrBY_cjK3y9CM75*X6|+BC%U&h+*i?)j4UQtGS1aRrzU`NDU5 zsOp(pUL1!@j2!}i=X;?}YZ7P%V;*;Q(;knuZ{Na4dB)Xn?nk;wDE#WY5 zn!loj3IOD_AnojAa}nU9261b_Op%UTo57SRRzlQwRha`VgEv2;Ff2M&Fu_h=BzSTnO%Zc*t)8K);nQM#v)DVAP)|L z7_Lir&YUYkIikTfNZ^jpB5vHoeFq)2I#&PKA2#M{x$SthCW0MNi@3F+>?TJudD9gk z@>DM?4Uuxn-JQVB8HNp%-y*TGJ-4us!$FR@1qUl*<0Bn(af=gypN=vnU?`jl?Z@1%5-2kSm=9Y0w2AEI^tU8uuQ`0qwwiuZ7hH%h8Okcwx8 z-?+YWTX7bOxJA4d0O-x$$BExB6SH5)?xfPIC9wDaqG?^`2MH{F1SYL#%i=?LVOwE23WjUw0u6e0>aoDLzhsSaf1ee2zMont!1@+u~DyLpzHz^}>*^x3hC$m;IG_AM#0_ zTdeQY|2ed>>iXys9M!jTUx4ZM*+Nr4Ni*#vM%lBck6_-!C+G`g_DRY@`UvKRZ~JD3 z(udJ?N>qWA(uK@eYLTFok%_!ajM(B%H} z@g?9vleiawDZb1Ujgn%HvaHQSy0%<=g`vJGp&IJG+@1F|j&txVzK$=2ZZ;FYL666> znRt(`+27;@WF~$KPp0@bzZ=;zAYi8j=csGqJA`MvMBF%y!|!rZ2W?fp7On45g2~;Y z{ysn;j{6Xp;s=b-C@FfxpluTVkU@SVL9*w;&$&q(fa>V0I+_Su6txAc!j-lz-~0qS z%W5SJQ=^V-!ph?dlG!?hC5UN{u3mKLgn}2pVEyyLA}k(98Zs)d4i49i!ycdu$LZAP zojJaCR)d4B23r%D*$@+pWLu)SD$69V4oGkJ?JN|h3s|X%DvBu>YENuWVktnOf`zg$ zu{a+(S7blI_H!~Oehf*u3ytlLpRfR%3++p~g8Y=y;d0M|0;cMu2TmRW{uu;?s{3;U zruYSm)hH>cQ)QJ^mzwb}8RSAwhYa24*%q^?k3oe2sg9NRZ}2x4$}l>#G$ zzKoc}VSrJ|Wr7`NW`p28Jd{TeiIsUMzefG-YNXd5$|LcN zgR}69{Fj({bk|4oJBw4a(6jVV65;HT;BjH8gIE{G;Dg&mNrEC8$5LqB#pZTPQ_l9Hn>; zzspiQm!4%Q5@DyG`8>S43z6hQg?K)Nli9}1hzsx?<>y0SiVN|p%a8bIF25-%KXp^& z{iqt&NUknot{x`2%04i(ts3TVE?>-iT%!266P3ivxonvy%FuFF8hhf_d(os^YqfUw zm(|IO_0U&&udf6SYkj2j;B2+kGm<#@p)*iiEg4vy>n5!Z(Sf4ny0y6Ts%N^ecF5Q1 z?`-$2-CnNXc=jP*w|}5>5bwCcrr3k`9)C~YdiCDT@q_F8)O#1d_YCx^_fCHA?V@;~ z@6+h}2_Zi0=mkKRfBky>K7jX5e>W4L_PNi9nyfyH~#xf%X2LULr{FlEKa{ zxUu-180_&6_Vvs6-f70yIS3CIXNc%```4@J9lZ+#(BQe6< z-{tS_R~*Rb{vL&KJwx|&D|Ez8zki@lu}|Fg`+GDo%1l=mqDj2S4P|z~->;=dvgr0( zlu1-w{w|H0a?;Q&N z|KOlbVHIY#D%~B<+CzoWMHxb6(izy%ugkwj$wNVO^(Yj*8bAtQhx2`2Nu<-?+pC1H z@pW}}n`qj$^=3`9tmS6yJ<;+#ZF95&2tXx)PWDBrZ3vifMMrciog_? zag&#JD)sI5II5lFJ7j#e2y2JjX?hUovquUkHElGhM>x{#)U!#;jGt&pxpT_I?w_&1 z+z+ZQ6(tv#uVZGK$3ypN-PFkdat(otThWCWWV#!HDS8;p$kOQ=E-=ufY}+HGUWV^e z@N83C14%32q95@pX~XDffKu8vHQt&=N5|kBOc0ID!=@f2^eeNe?<0eEJ<@BNdI-;^ zxE#M^Q#0eRsjuL7X;W{YXK7OtVb{p$N_=n|)g&OI@o);I;2oL4sOTz0K=1(srr3yI zZB-K|%~thMkcO^DVpygPa@rA@HtU3FDz6ZOh7~9cJR2&b7)6|SSw$$7T~;3BA0n-* zwMRKUf>7^AIYp6Pms1SSSb9z@p`4g$l#{{lvYf{0S(XzKc8-1Gcy|{Q$%Tq(g2G9b zq0Wd%;2TOPiNF*o{OS@S9-2#t)>M0sdv@ET(~?Stsce!|cun=b*$?&n%J4!gWwJZi&=F4O>b35f z-E@O8mD?Gg10`39${uiv8EEbSf2oUdngP6ez!}6Kqj?0T*v4SqJs@S(?g3{RzM$Zb zN5R zG_gab-N|Wp$+V4Kp1XjS81z~NY9C9ls-3tFG2Z3#Xi8(3k4J|`#Ut@}6pu-W_oH|o zgY>$19*bvFTu%(4c$j4r&kg)8i|29lEQ^N-JG;Bb_6`>^`GW1?Dc~UCEH}LqLbA&JoaJC^HQIO!GVSTzTZbB9C7&BBI_its~T8LC>c4;kZfxpPTm*kHd7zSwbR9ZH1$DxvdFO}KLn(w$ninBU@V9@`F|Lx zpa1L#a^@hy0fnm z-o^=Nj`VqW!di2FH?jlNOX-Q-qT$=-|Xl65o0>r96x?M&fhQd)Y7X;8lB z8Vg_b0jo4-n<;MFhC_a=qw(-Gs`h6iROi+i2 z%l)6$mJOVdHsi}#6!f4_E*7N;RG?!#ddgkS$?8?64u68LwWq7U%`aY#{JD#QXIWpt z*={b1zv*i6N(OMuvc3u*AlO$UFvV*))-}sY;nWw(O&>vhGL?dJW=@`-taZOfXZ;4kyRy#uZ`6~%5$Sbj{U$t{;?2YsI%{Seo%LJz zU3S)QrDxe$6Ja)BFuTfZi?`v6ySpX{5s|l3sLxNoG`2s~|#u~mm?HS_^Mp>_PfkdyczGK)t4Aq1xQFv~~U0aR)1 zj_V^F|4|vAomL%JWvWD{5m7INgK#QXiG!|0l?fKcsii)4PlDbF3vpq!(kgtrJ89li z;A`#fLq~EK=($Q#4$eQuY&3NwV~1Kr_;E@oPxGP<_WtJc6Cej6eiDHxKE>P_CB-~R zj^(Jgg@2l%J|m&B+pvRXZ(AcI3wwVbn%G!nu5~SzDAw1}&sHq|&GC~TnCL!H-$f8T z&iTZ)9gHey(+h-!LY$KyP<~65MI0=#6AQBB5=+5qK^3v9*?}{B=1G1&bk@~Yy%J!U zGGXAn3K}(F5HT@ctMLG$uZQMx$9Sr@Q_Un#jH<{kp7c+~;|x03H2~09Fv4$gK6_$V z;_Sdsq@SjV$8vJAyo=|zC(xnGwCicMeZr8h^f)}9+a(e8(ERkoxO@kqZk~WnscHB= zo@}0Ig66CMx_5vkf>UK8+tKA$;G-(5{!X4&o)}hqbobG$^Ten|*S((d1j$Hd@SI>w zo&KIqf=npEba#=MCalaVs+`##e^)IaGaU}fc&a=%qp@j28usMOCRFvS zYLj24gp&`+JbwkOqj0~9z!YEOoEjx12r5xmfBAKW`i6wcUhCzKTgG}NA#a3`Q9c`d zYl9m*yE?mi_tsjK-aFN$jY*SLms+ch*;@X#V$(KC`y}_Kw_GR`(dhd8>j&5OboTUg z4)m|@?&+kiinm&lFQ~iQ-_5Ji_zQXa2K?OZ@jI>a!b+~LE?zxFWalYS*C6^R>Mj^) zo>KMsdwBJn{6gslu^?=@KIEHRHr{>6saAdc7NAgH4;JA6W&w(CqZH8ezJtIN-{pdn zdX<`)tyjOt@!yy6*{HJjrz#-^XV;DH;K zo!ke!9y;#_Os-kyonh6XA5y}}1J2KnfEGgeF#;To&RiHJ#Ux3>rH_8fP(PDU*>|jD zG(A4N!Pr|pL>g%MQ8NTj{g!2W2j=F2)^2o{QXyBogl=mY=%-n14{Pw}oGb5^e1TO8 zzW@|U;h~y!@k{WJ;{Fu^Q~a8s1kBc~w$_n+`&ia+zayb;FR|Ltr);xB}AyhNNiUEP0WEDk=T ztJ^{MZ)%VlpWUp)X-(oG5+_hN znQh37I1!&A?voIh;$-}4uQjoOD%!9c=sA!Dx+>Z_`rxXAr^tMq%K11=<|F%H<<_dh zT1%eJY@Z?7=FM0R?Zg`?&*V5qV-jcKOJN;r$+PM4Xx5UKSdHr(PC;7oTs)cLJbpK_ z7o!NB>dR5J8}?70j}%~)m~$%13mB1u6{RR`(mqNtxet^sL;}>pH3&>`5#u*Xiac>| z>&k~Q$i)&Q8$(`Fq$uTTSDmdqjywt3CX-|Pc8Z_EE!eVPQ zD9fhxOwLX54Z`wJZ=FPAW$FzAg6`=80!W9>-iWem zg;PI1xb+)Jj%W-}ILQY)EK?1z^`AT<>{Jzx{}d7T%kM6Yy9q*EAl&Av)a|Rj5yd8tw0u*Ff3WwlocoS)6@kF z3ADM^H5mG@Y4( z@>Oncly5hb@4$Lj1GRK-j%DJld)Hg-bP7<%e;q;zGXcQn+f_fE)zR5)_@i2q^75@Nhml!Q2b{3t+=l z;!-6SnY(6{e7RNBC5G@?;lCX*5W^e-Q_M4%_X>X!gsr5@3|~?34ih=Nj3mSYV8J_~ zY0%JB!m@h}O(ya(m_5|9AQ~%E&kz|@XAKCndamOcEAoj)sAtXv)bkF0m+E;ZJxldW zlwIn17e2VvGf9qUEKw*;+*{`xs99SedqQ zSAe@vuV>I36sUa|h_gaYipL?|yC5G=DeZ#v@ZQk*8BS~-h4%zPzdwa{BM|7qdm^5( zWS{s#;W6hZyqox47T(SDEDMh)JKZ-=#=E=hNI+C}PoYqr2I9<(cq+c5xNbpUil^aM z7Z>r-TwFbnhVtL+lNxxsB=Za=^Gr!5yFz5DBwZcrvl#KS72LOnVt;iioiP6>so zS2J>>q-Yc0wng(A26?Rn;fXJH+BGjPcPxmW)=mOnelAbvlHn$DoDhfw^$vD$g6@G| znLmtUlAT0+tvHIL7wakSKnC1$W#{1QIA6_j9kt5y^$g({p1uJeAi6gqFvXiV)-^mO zf!UVNn;Gma3T(NR`ENx$xTB;E*3R1~rQJ#5Z3Qdy-%fZ})=5GT=)v9r1iF*F6VF&A zk6-E}nR9fK@8WmaNxqw&WhY6L-AnV|gD>uGl0-yA-b-QA(){<~E5!YN1g7`^esw2F zd^C5GFQQJ;UYh?Ptcf3#8Tt@s=)*EY*#|w_s&=|M{*Q1LKB}_t6|at8ckuSgU3Z^; z;Fbg6C`5ZLfMZbA8j2ga`TT~pBcvPDb*FL}J(9Gv_I9uDUEe>@y}l3Ihpy{czrMF~ zaIn9>JBHOk?O0XRi@3poo&ovZ)7RVG+t=UU)vMw=2fDiu-`lOgySoRl$f#E*@9$sV z+27kU*k>j0?Cf0M-Q6SK2Yc6d5A^kQ_Gn^#J%hd713EPk@9Y^^Kd7Ml@s6{W1{k^* zg!{UCdb$-WJw3ghy@TC7{Y=Yj_g%qJBYp$y|7fnwc6I@A^JdgveT5bk^3_~!CC zQKpi`l7{@8Jb!vYpB)HwR#6u(v)jB)f(bM9B>x5 z;nop)#e5h}hR@H<@dY(=75TM6G+>PGW1&POJarWa3r4N=p<7jO3b#D9+cJ6 zR4scSZd}$ly$zSv6(K$L;x6(cpQ4}}*!jS3pr}moEhPZZHOAS#a5-BYx1i`dW^jBZ zszkkj?u8Om7V9{JMbk(*mY|1R<<;2JMz2LfAU zzA}1v1|-Ce@0_lkj!CAwa!@7bmgK?7atknXHcb_YBw0qS#WgB2!^mZhYZnSOj~eH| z>K9)}8+Gdq9!z|Ln{Kn-NLkA2n+!3TEn(}EUAzYy_rb<}e>QIMEmS-7LElDTitlh8 zG!E85y6uWJ(ZLSp{_kL*F3G;J9V6f6%J@B18F}fa4}OuO zVFFrO)?@DA2ZViPZV{+-cr1Ph1lld~BRrep$HW%gBFs44B0u4G=@$7ZJxjL;QFgmU zeugh@w+IP{i2R(w$*e0g;urXc7X3>EruY?pwO54LX!eSb%UF3u4tD4s9r~}OIDf<9 z{H+ux``Hf)ZCNYGYSG%8{yUc5@1^v3A*^Fy#S3Boz;O-(N&FFC3Sl1I{fQngb@HEeOii&&hO*PhuH~zXxQM6mGyx}wZ3Wjb zW~6bF9{TvjDjd4zmId3dhv0Loyfuq1A%kYTW()1!$Xdm5C?%YH0607hgdn@a5t!l# z=F2E4wnpn1$ue3S>HMJb)Xmk$FN!*j3Nz8}Lgj^H08+=kC-sn=_;jtKqofxlMKWeh*60e?C3Ko zjcrGJEW!c6Dv8I#gg%Q9ugrvoh+y5G4FuYRJ_paHI2XTULNm`Wq0i%YX+ob*&(ee@ z%Fg9C7vSA(K$B32gpWdbLZ{4!xDa0;?==XpWd*<5dL|B@Dr0q<%g9wsqe%$P2b zn6k^mTLo9R9wyCNPSvVXAy_4=W%?*MtSWPGpo%tpjUJ+lE>XCN?u5LQQlt+jr&pE= z40SoZTI9Fka!hd<;<69J$3nfnFtl#n&Ye5`V!Afv#~r}yP#4w}D)V{%@y}F5JD_Fp zscxS-e2A=rzGI!eL@xYzg}l}wFhwVRwY(??vVl%!F9q;EG^j3#vzu}DNSynK!;&T} z(8haF>vZRKy+!l_Geq6TWcn2ux{wYRqi$t!5Bc^+ROuE7m`)y?MyU({50{GFW2IM1 zieeCPR7mTIR*8zEq@*l{C~BkYf>&`leLI(}-YKm!(5}lcV!-wlh&9Cq{6gZ{w_rPv z*P7*UzK&JIda4y~YW&Pot@bM&P=u<|diC0_94-=SU)z=6b}a?l1_#$-c`%`dmZarU z779v}%vb5qGD^xR{isH+c~m572^#_YMWf;5$izr86CDY~0?|NpBp8ZCqnk!j@#KV& z3QWX;6QN)t5>3UzscAAYBk|EdBD6UWn22Oz zsnE#g*l02qj72slg0W~ze8h;wBEgA?@aD)wCKU{YLxE@_6AdR)o3gRta4L=jf%r%y z5=%zIn~i876Wp{Z5DRC3VPq^22yc$ZL!m%$A|9E*muMuDYzap*iBLQ_8cHTXBN&S% zKx85ljHRN9P}qn?jc~>YMxw@ObWHHE(UQqVkon;-gqgzssm+04C=y75(QqPR1R|qBE;H`XbWhQ2=nkhOnCjLX$Hmd2 z@>I~aNr%1c(B@wz47$tn`t4!a$o{OY`uF4T#y`_rM z;zkyjA}9d|db*Y|>#t;u=55w5Xf-GvPP%dOpxQgA_718&oUO+Lb+>X;diS8(Q@w^# zw*UKTPh17v1(P{|0Cy6xx|3sCGU?c4)^5{b1_?Sq8r`NN9OoEhiV(gOHn7_?Opj-< z0a>#&=P0Kjw`l}Vrg#Lu8`)MEzLpD0JG>lI+ckEYs-?(L!aQCg{+u4u7~^tqqr8MR z^)X5@xo^Y_q=CG~5tt&*B#e^cfbw9w0VWtEAwjZFL5@T?`{_W#S)2W3LEFpX7CYG&LhBW zHTcz|T4JKv3qbp(4}7f>vyzJfb5WFB@E+|0PfOJRyXKUb=ypYPnK{@wM0?krc}i&4 z9k}IJ@f5D})c8Hso-$$IpW0Ia0$qC+@N9}Iv4z^hjHC7lewVeUM$fYL5M}oqY#m?R z^@jvR^=Fa7#`?1ZA5njHA~3}+{ObBcY&6#&TKnHnrlc{%l0%-4G2u}I2MSsGpJhF zo#x{?{s}Uk@AmfWG@X8Fo^W)Y2;1O6PnU~SXz-%f3!<_(i&M1G538@fNYF2C1UXm9 zNuT)>nTzHQ(X@)}NetoW5O2Z<Px;jM4o~_oN!eCETV4fY~ErSRQm70e`d`~Lv>4bD;Dh(olws{5+XqEO%Je%TK#1vE-vkjH@Y<`z2?K$);RT@!t zc8Is)-L23_G(_UL6gDcf+wc)mejWl`OoLyo(1?j_d$aw@dslVEiwX_~p?K z`+!B2+Ts+u&|k#3UaWA@6(y5ay)3oiGrMWIn3ePVB?POS=X7?R0%uQcmNt$%yupjI zinH%ryc7w&eC02r@A4cxg-g5~pCHIrATY%%@v8+%?8-(tnLQJ^6lZ7U~(4)BClY`VN))63}C(w-%7g@$JlN$?|UxBduy5gY<~1_c}r+{n|<*;`J02 za{IO4K;L{kEP1SM*LI)vM#N(C9HD|=JG=Xf094noJ6|Wew&lWQa#gDw>Tb_=XTz1v z>n0eN%5sE{NRIaocJ{27CzI;F$WnMtkGMwBY9)7GLe`kHWo#rEF+zbPJj#jDa551O zjfGR2jFCt}hlHYLOG4u`_YWF!i|IK0lA;Neb%C&prlAe`aB2_rN? zj`3hP)&d`J1PIG-4TpL>5f8>jMpCg%W+a&yiN}*In@4~uIuZ^f>N}% z+i%k2;!~3^pA6)}c1|@J%ObMU)fVFWw2lu9hS%xpy%? z&6eELttRwthHzMN@4*M;_q_;A@ji}qS#p$7+md@fgMC1OEi*vrEIX}K12y^ zTW&=I)DIKdm05ET15B-t0D-pVK8j~k+(m4`nq$VHjXuWj(wh4?JxgnjD7y!!pTHNl zJx2l}BA=wN(VqJhK0?-?MqrB1;8&X=#746{mm!0s*==?p>d)Phlg~0IpOc(q?>~B~ zHn=t`f1YW7LD9YkdHp{zOb*0iG)C^~?Chn}y*&E5FLIW>`?_1LhI$X6P=WqW%0+w$ znL|Uk7lA3h%<_;*mMR4+Sy;{5AO97G`l=1(-l6(6j&SHa@pXJD1lbw?4SGDEt={Kb zqWvbPAZPry@MMZ_^ShBf2X#<8<7s_v&lw z?@$YlBdj-O^X0tA zVL9Cn%>P#wu_ZH~t1n{v;|^@Ts|dM8lhSCb4tp=_1?+y)IA}lKkoYm^xbw|^^q(;K z=6v673Hqm$aPofV?`I$bx&0i0DSp9R870LuNs8rGdJP6ODDq!2)UPBIFN(Lzv-CQ^ zP?7$cqDybUTNVcDs*a{%=9aM+TDklU1HVb4|1G2cokX8~WVc{T2Q zsER=xf*hbeQ>i-Z^P!xvCOM3~nCtUllxXrHoa@7p0aW@U5SU^$=hY}FQBcV?R{A3u z@F)qG9fjg{cIH&+7i#&%nTpiETw6W0FKu=&VuLwZ-ng}m&v(FjbbGIRL*3q4#D$eP zoB&Xp7I}2G=sc;(2-VB_mT-AntzM)F?|gm%B+E6NsUUJwxO`MAYIRSXL$l))gq)}s zr|FCXIvxPs!0cRQ3jF{uQxogJ`3Sf!b9Wf%7&A(^uxt~fmR+pla&J0%pjd}54o5mP zv}pe_J;u>2>89#uHNzIfb2B`K3+7l=FyVs*!;3l&K*5OPNW|kMs`*aEa6F5;sbt1p z%8KCxf}YGCEQj_3Rt_gZq)=5SA;85iEPbP-3WsXHR#kdPa|#2VDghgePyQf>WQ_#LrqGqApx7FA zWHu;f+F1?5nN%okDFS?B-rf5!aU0x4AmGkETaFK7y3N^tr6v7~DdFV($Jiyn4@s>> zV2V~|$0#XoNj5Agy#k?)p)QqB*{?%bO|BLAP9Y5Wo11n_%mlH`k)UVrm8V(op>=II zFq{fw2V^QdjGt609LCRZAcd9l_#a%-ncubH>b0qz#abQv8B)c$ zy57&g2feidc^g)(1NBxqycHJ}!(D>)<@ABpJL5yw0B@zl2U=4}A9(*GLD1@HhUlTy z%yw0^)*)QRIrsLk++h`2JD^Zx|ChxhI*>|&Zm_%&_|42tIR;Jq8HHaoiP~CKWtNz$8KRUh)$S*y753B~`#V&ZbmytAqoliIk+&HAuIYE9#Q#zFtx{>XTyI{?LS2^5??S z#GsOqjfIb;_IEC$w1&9ic`L2ATdm`AK%sRUtew<0WoNQ*uy*Pb1XTUqui7cDKox`1 z+<$y4NGxnWU1rKrx zGGj;ZWQq{K8`(?HDecLORqN!#gm=6|+&OL7QO4xpMcJ@6?Fglq+!s=hKnlnziU3z5 zF#)5b=o9~T7dyrvh6Kspq`FwWFdSXQq{md>0b3#Ofj>DcYYQ!rcZiDZ-En5KSyb<` ziYd+zj(Ow>e1Iep2uzXWSl2u<<=>u1PBBCS=Jb$>|SlKfG_SkLxQ0?Q>D;ZX9PZ= z&eRZ?qK;o(XNZO7I>SpJ-75_&^&l1{t{sePr^F?fJ}#3&m4s`ye;21-QmJo45jGju z+CGji&6IO;3|b~@mfz(_b?*kE(sZp&OTz#dfRFdhD~;E*Hcf+K+P>eV4XqL7wamD; zarQw=DP9LC6vKl!cjD1t5f#HkV2a0Zu4Ly<1*AK7-M>GUp{}=~+%xYtaD=0m5Rb!` z!g}u9A5V{`aOeIJOF&QH6x6xjh$mA#k>8E%MW_$X&K>8U!$FP%Vk>3W4E&P_>3E6w za`x;uF&YOWs%N(e-%Kec_nOX=0S+lW1%WA^%GiyPB2Jv!-TEyI@-zvO-Gp9>{8I5H zXAbmiI_49s8F`wHugBJD)_r08}VPOlQ$0~plj zGME&Cj@={DP|M>XKLKJpmV=-vY+`a2D;0Rc8` z!J=<2`;S_c?wOPjL#Bgeqgs?*TMks&JPRU5dwDhjQ#^-D#3-o(qZVSfms=U+xe_G% zNwj;HA9uP?p>w9?ItiTk%_qFzsJ*2HoHkv-S>yIm*S2TZS;d_`C?BELhwL?7YaOxM zPgkSuO-F+}v1*A?UB!Y8EX>d~Rmb?nZOD^H{d^v0wYh$N%&MQyXNbvc;QPWDfxxD+!DRFh&O{a z43D=kBX5s^`K`W{J1t;ybB); zI^**bT0dZ86)n4ZHzG{&9{i%%vhygMz142r`=Z^bi02pQ>cxe*BF^!%)!TbP*+ad( zj~QxKZ=crei}y2x*WINbKnyD62N9U!Lk#A9cPZuFRums*_>U;~Jt&IqN%2uYf^$OB zpeXJl94k{4-5!eKV?<$PiUQ(7BmOuLXhrb}JmUfv;t-00^MJbeDSnrV;?wjj6$Mdt zDT>eFgIiIM)QHC26fUnQx}hjO3lNmc=Mb3U^Z3<@f_Q3H6vO+bD3+~ZUyx+K$Yk%4 zWU~hdxhj7-BvqQ=OHAlqNvJ^+lyu|&GDVlT)u)lq5H4dv=qf$EIE1ZL`${bj8&wFF>^z4I95MKiUkEZ{1rrX@~Kc~4A-(U!@rvFXEpo)D9 z0oGqLn0M2sEZR-~I}HC_1;2-;-!mz`2S{*ENE({{_X)?!ntqQ*)4z`>tgPunTxga* z00Q0ge~4#O{D?S2)8{;(>HnDDWz+u&JZVUTH8*`eV$$se+Kr7MekHO0nz8>zVwXou?llfony!ZYTgLZ0iEp`v z{CkR)4S5YUou~L-0$@p7Vfae<;7pW`7tx%VtlMUCsV*#JQV2NsVY6ftWos z`_%wJxg3eW6i4A#H+$l#x!KbhPY?#-V*H^@r&bu)1%>@z@(ZR?!8vSJ&_V(W#|Fq<3S{+GSq1js!@@D05CKhJDs9SAHo~Yr%hwYa$cYj ziZc+AKCC#?EzZP~>+}N}P<_M7=2?v4E=lujyqMw~`h;=S^N@9%$*`?Bi)~UvL%wyz z`P^)N-SBY4zfhiS@u|Nd+=^E(;MDxi&V^m}R~*1PTORUBmRhXuRIb`vMILQvV>-B$ zZdSAXwYrpDekX^r=T+DwAf?ehp~P`6ah^Vc8RAJp<|%y`&YsTFx#O-3i1P>mD=c}w zbm`MTV~X?fIeo~bC5o;o=Q-pR*@CjUTgvGIL}864eo0OtRYmqcTjD~XL~V6s?F%Yv zYyPLbD{qeLDB=}k8B4Zg#l|VBaH>)TL2Jue?P_&8u@fW9IfPcSoo8GK@wD1~(%Ywf zyPKZ3wnSLMjl>xO0Rn_G+~K|n0RjaDAAnCmDu3|-_;t^__K>9nQROP6D!rZQ>A8E3 zp6Th9%vuRnN=9$wc#FGPk~bkm(CXdzsneS!^Q_|+kE<`VinE45%(71q6B_Z_b6Y5b zj-4(=H(W7bThTG7kG3GU3hRQ}IEGuXB0Mo88-z^SmMcNZ#opoUUGse`&;_YW{t17z zBauBhnK(Opa#n%^-~8;rLUKNv>tEP;Q|6=T14TuewB9W5gSW~1EezK?i-l1 zEV3HFSVSy6mQ0IY;{X^*#08K@v@C$IjM^xSg~St!1mXg$NSG{u1kz;EW!io+>+NdS zOt{w^O6jg`ZN#A+bLQRW=9!kS~Gqu){Cd24n;c-!34?#%l1Xk z{>TZ0iR1|DQJ(V&q(5*(K_CqsBb_=Ga{~eLj#1RiDL-mN9YI>@ASfLZ8`K#N2SJfw zVwlHJf8-2vo4E{Ns$c&Anx06Gr?`Rw8Px$km1!EUZ%+>yp@)VYLU_@AQf9OE7u_#~ zE9fa;VeZ|V^7f{@y(urg&h1Tk;nd|%hquy{NBx+$u){lzpE?c5RHvn1cq=E{JGpB~ zO8B4-m&>Z{ShGM#!spBa#*8mh^o@0rQb?|0&eabh(vnN-CimrVvK``xi@Q~f3{pcA z4CALxBa(U6@yo{bZeYkp1#3)WZN-p{b8tI`YyttykY(r$TrCXQzrz~dBPsX{*}d?< z#0rCM!jR4V&l$3yOJlp(_~Bc!i=V}E12r*Z=eXqCGi15~bRQ?s%8=a;Ff(Kv957^P zuQ)??9zoD#jxV><)J_?)?W#qSNU^bI0Y7#@@@gejDHu(0yv1EC$VDUwN__x7b$U?p z&N_bSxbn^H*h7N&utvP*#^3L>=a`!9w9MR$=?WE*H?lDezK|yi&TeA7&5-QNZXG7A zx$+Rt(lVBin#5zGpel`zm3-pyIlnM$`&UGj|CS+)zq2+7Qi2_$3{F?VP{Xgs-oIQ$QSZ z;@GGNuSk2|WHWRbNi_@@y&1Y9Ikc`Y2f~r^2uEDpjUpIG301#}AJ}w|jI)kkF0QZM z2>Ev3SP&m39W>UpWPELjEes;!st@es1&aSJ6kvbG^r3uS_Q>R`eO7&eUyR=M5Z+t& zWm%I{MZtm~PV{EpHn6%9yt9^}(tg>yb=Dw0tK!CqZL!ijIuwcy3jMZiUK84-j5R?o z!fgUy=^@z8v&HH#Hnhd!@OGi6_KU-@kmToq1(M$*y4^dS{{J94dIu;6Q``c6>hw+_ zHa)xZbQWx%aiL+^02_xqXcSVcTFxRefsr-3mn#*o3}w3}jBP4fl!S8lvPINomS9x0 zB)~kr39(NKW0VV2fY<56d$*iiQv0g87sz7xGYqd8y=vWE!VD1Pp=cSQ3$%i-aXTw0 z3qo}6wuBZr^mR>9HG(4utBlYIvwWf;Pf#~Vj1A9aWt&C zi5e-~_$jJLv?{(_SGG`&R(Vv=4;Bk1t`W#1f`59y0aYwfVHGKf>T%TWpd7k{HNfh0 zokM!@xT8qW!)R(drHXDyv^5Sqs4R~kLnvB@Hxb!V#k7t~m2#o$YOYkXR2RJq;T3ue z-#WdUagC#4t1ad7tElCwqB=sRZ!?Y|zX}zw7*&x5Os5u6(f1%MYaFKKyvahdW{pbp zIAF#JR=lrZvX*U5sASRdmPPTt?YX5vdM~4NqT%uu=R@yPtE3CVdEEwAVU0_}zdI%FA?@q?UT2f}HcKE&?s5)@q3&>4sbeOVu7*gmUFA7Mvl z0oOR_1h+~X@N)&Elgtt;tfNi9rqS8F?xG=u6zHRZ*k$KR=zT%^7^8I<-G2E>Ii=7d zA7?zfnl(}lML=CSWC4P`V^;R z^jhwc#U!(iYc$)kJbD7~P2|miOpM_H--IOS$HnYdlKnGk~F2 zj}&Td)eK2k(Psh2*oBNS>l5>lpVG)ZH*&;}7f>3qaxQ&NaF27hE#sDtd*Add7gYhh ze;$FxL4*z5ofqQv!t`L1m zpvUv2N^aG(++49_<_ZPaRpu7|G6FY@J5g0PoDL!~GF6ou_8A~;8n3a+*Xb*gn65bZ zRVZ~c*W40)RlvR0S{08-^sb@|OBVDsfgk18gK|vhIYUKt6MkLNJftc$%3C}otkO3G zxrfI?jF7)6&?8MfM$ZClbkw}%fpPj4ySx0PcocnGr&KJ*JDI-2Xq^&eK%u$5%l;!K zB+pqR9B5q{@p}@t6EjT}r6{h^_Zf{xTyDvf%YOO+Akznpo<<_2=NPdgU!BN|(hu4F zT2q&aegvO=$vCot$pv!qJRZ@o9{m{b4WrY4n})vn2>@B6N9aoSX3~m373g8*V&*d+ ztzlJA^fSOVjl)bn;pFjizznhB%##P(yRNQ#cBL$nN5Q&22y8V-zhE@10c9_@X4=IS z8^RN|N55q7epYZtzhdW!#^!4pgTDrfBV(h7=U_8xuitRweZ>O(mK{A94Do*d9e|t0 z8}zuhN|ww^XjjkHRuE9N=YfJzk9M&LN|;< zl)Djv{s0ihXt%UwIII7W)2=NU$D7wNy{!C+BgxUJq8H(=)1UE8IIqW73rgJM+y)-R z9&j%5yZHN@f3e8KpmPVFGTUR$4F;YS-P6t)jx)-i7lGqE&xk4KCB~R^F0wC)SDmMw zXW99HBL=iHTB*|g_EUD+;X?`gK}T#LzQq~A+HGIZI*_NFr#Zhf&J?4Zb6$o7gnh4* zV&AydDKP9j$-whYjg!CVumu!*$oVJxMx7V96chT`WW+fJU(Gnm>T6jQp|q^tV*CZg zhgNoc?aNriAq4bSxDzbGqJ{4cXbQ*4%lrb1uNa-dBBpSASd7V<@>)^U46{VYFF0E zcA)jMcV?=qt6sf&b-Y*q_v(Smnk}ap_*TcO+D^;x3iPvU*nYviwDh2RS?FF~tnIM% zuHpB4hUZ=px?76#)+Lu*qW5|otEu~zV{3b~o-kTglYcmEttEoRPd)HDUl)spuUWQl z2wgsG3#Y63rooAeLcWeSnx@f3X&p_sTPV!&4a?TNp58>ATj%Dh0~JmURH(aw;RK%M zIh~+kbu7Q{ZkwAwIPliqfw$s%f=1Kmbb^j9w2mX&+jrZgg4>lvbJ=uyM3oC|8#dO^eUEgwDW*!7mt_S~yNcV}%^ zPZyq12X&sl2-faeaIdcIY6e1}%j=#K2+(uQT&>VDnvU!p_u9GIbwqO8aeNycQ}@uX zzI)xVOKaOmFszp6J|T3USTwiR+9|21?5QMDQE}Q8k_ssjm6S+SNF*u{2~Lbeg0d@- zs6Zr85{pD75{c{0ZMAB;uBm~#B7vx+1mXsBd+lKQoxKC^#C0U%P>IFiN#>4PBmMTi z_-%W!k_ba3B@Ad$B@%`T2}5OA7%IfsN=g`RGz+yWQ}wt{Hm|JhO(j$&m^l}HS<+9kEEkQYdX zdy{!tZEKW%^ZYnO^T?t57SW`jao>slb1dh$(MrBx4!JKyaaDM}ySui{*B41%+-KFc zMK!y()C#)q3#$?MkjAeH-LYbAdn@QsKF=*K)V4J{y6540X`!~gp*PP8lI2?$YL}DP z-L~MC%_r-%Ei!*)!L6DFJ*ZvLv24Q~KXw@ki{>+T!o17`6DEs;T);5t7zK9U7=%m^vr@g16pqn-LD~9TbEsO z$!ScesvGddH!($E?mUYzj(LJ-B+S6Rq0yW}^JLr5{XpP1B)}2)?Fg;wbc`m?fu1jd zCOt1>&WWaC12ZfpD~~7WBXfr}Po-3~O!cbX6({Jlw1%OvBw*UZq=(VCY-nBG?rXm8 zo%Lw8q{X0Z8OW=a0UOkGu`)EhvevL1EBVcpdwtJ0x*k31IE($N_5uS_EoMPXD#B?6 zO)3x77^`}>*8#;S*YZJl(xFswvlC!AE^4!D%%f#(cu^^zV`XdUzMkS&GKa)V3QEM{ zmP{3EtQ%GBFd9R}c?OY)AKjwa+=F&W?YVtQ}+m_!aG9uD9voS#N;zub|xPoF_@HYA6_f5OE9o;X<}W! z6KmyNp?fz;)N`>K{INXp!~bAN5F1mN8D2PM9@HWm!gSP`n^qeW-aMbYD!gJ{!bVt60s5s6&Uean3W|5SG!d_Uy%i7X3T4VzqqpkhXVX zqPLo)GI58X5)oa6IGwg9&axqvEn|f?18Tj~dYPS4HF?nFy$jS)+7G3+P01DssxmLe zym=y>R%t8PvqXC)e8WD;8$XFZyozI|V+q=&C~eqFSBXVi?|2Srd02;aU+u??q{L*; z#pPvpVTA&E`Lx=kGUwbnb=ynOZOpIvE$B36S?zL&?fljFIly68Pm6M`fC1OCuob}u zyb-$1+NHOex)<$pcR<32C90|SNarlLEp)6Ax^3#%&!DESj9zdTQ@yY)Vuou{KUkyo zNW?^U3FG!Fh(%{HJ#|923&}8vU6_}k?%=OUdZ-<`&cHNe-a`EAW%%d1=2LV?qAScR zbyB-_s;R~+nxxD5p&O9wksT$a%fXIvB4ewH_W!eFM>&zUqb!3oTaG7_wY`-L0nsRk zt6fDWKH|FiV9EWV`%+>F)$21$Ow#jS7P=v|;|UnOXG0k3}`=?WS~*> zqy`6zjU8C(CzG6bE> zWBNcY7H{;CCLEXrc&gK(G%i6$U3Bn%r1`XrWuxQt$XH3l+L+vBISr$!Lq$@0p8-9J z3+bUg$_(uXrb{xtRki0BP&VnY26Gp*E)b$&_Qh;2iIK{t)zq4n;KcxQTN$j-x`F3I z$Mz^2=v*|@jAWx+*XTBcZlj=O3q6CZwEJyY?RMaCDNS8qWfPSyOsD9omKOAU{VeDf z8d*z`87#8Bo+D6`aG-p{5CW1dM_<;#X=(2(gWfhYcXXlbUv2~P(|f2#u}d|;5q(Xz z3hf}7@vx#>ZFDGDW7#cZl^Dl`7;Q>!Ld8DSglfq4O|lf|4G(g_g-1kCNsi4dClTv9 zV2;%#3aC^li;x`>C~AR6gfh3G!KYhN&FJD}!dXkGi3qA^NP>+XY*I$Y3SeY*Gy`%C zLqa6-%Z_YSM#>}E#!Fb5HzwT{dX!DOBjo$Eqcs9p+`!iKSj|+ah9kO$M{ZeLF-WE7 z7A1R=$b5rlB>RwL{}CB*;*Ev0qnyNYjlIZGh%`E&c=BjTgW=wETH1<^tYiR@h8RiY znk2H(jb(y6naPx9o(4A6W>*(y*+78}35*Zu3@%Rz;F`roEk}MLhh*K>_&}gIH>bTo zhghIEy;IeuCMNfnWQCC(1cTQ0b<6g&$*BXddSeJXf!*?|?$@QJX|_dt{itbrms%Yj zz%-ptrRaiuD$S=-OpWU&~FIcZ=_u)O{*`HyHGL?ygYPYfn+v4s7)~& z1-_|h4q5|VN!EZV_n{$c!1Zbpez<6o-v6r5eKl=u--s>x2)(}v%ly;@>ixoK8rVq* z&A}Rs{U6qtrip`;CX{e&L1|+b2<)`5IZ?|N9XQ2nUzOGBmq%&<>(k%7zCImO?!G3i zPn*!8zlC(@*C-wOde)&$(v@Euy5CC7xFgb)FPL)o+t7uIa@Ih_2`vOy@6xavjz9N!G_m|?i+{=58_Ci_XhEfNbV!#S%bA&tmz6js$!Fen&YN0JXJaL^-@WRY}K zF1&iD;U9-aX%|bW0@uoT&mHM(u(k#Q0^6z{0o#re+lntms}2>>m{M4(o-U*$L^cqa zp^gA2RP5@#qUs@o7*g(FRVl_YNHSLfQEDhq7I28FTc?CbxKsg~FIX9sO`4GCs99;J z5H}jxL^x@An=VStP8*CEJs}tEI;thr9p?3!eG?PquD)7V`?Q%c&lUbyS+na)PQ#n2 zOqO9CS_Nx+zBw}oGejAp06mz1NfYqd-gDlD)F`~|C z#dHUj&KxRFE+8{Q-s);TNWGNJzUjQ%jlGIInxI)h51N_>wASVi_rtZ>I+qNVz{X{_ ziqWcAg*B>HpC`oziMcVV9Ebk=+|#Z)fh@a*hR5qcB5HW;Qh zT*wI&(Z-qz5l{n*X{~xemu7=GJRf{w>OJGk#DZ4QP83d^xFaT_cw&6+w#n*5=~j?d zK?`q10yP%$iXpS&)zKNE>0quLWZO`V0dk0SgY9om#(gl*3F^sug=nCy-4pfZa#{1$ zrwJ1gEV(UEy9_$h9m_l75rtxGlrDlS(?%*bUXn0V!lu{L>-d-g=wPvk56`;aK&y+B z6XgTwetJl?76;ihCNR&iq|A&FX*1d_6V<8q*ezN-Ht>991{|g`Ryk{N>?lt16f6|V z1wpUI$}b&j!-hpQj~$wt2usiASNhQ_rv#ZiiEXj`Zt&D0Q+McOnNhu`(#$g#!9i2nAU1LGkbOSjdUXO zJ;mBKGSk|Q=f3Ho+V&1MgaJ-<-S6e|VR^h-+p*g19Aez2`{vqq2)Ku%Si}9kSTm~a zGC>9omQBA7#IWane@K`*iKe?z>5M-B6(v^+a-|?w3U{vgczKNPw@3^P5S2fd!n z`-8T9c(1TV9ohDO1h)ORgzk@$ZU199;<)|x+o9}2=g`JHnCam^2T)S~&{!D?bs1?r zqe+J_GEIa2jYOsPBbNr<8!4EK_=hr7An7=soT9`bWg8EVPSO*lI2Y12YZKM!Nw^#) z^&;gUkT}xRaEN~GC$*2hP4CfUJ@^hd0*a-_2h;jerv2_)Nnd(f(R{O+=sk&&Gq04K zAA^$fWy>A+$00ax58Zbt!Fh{17h>SwJ45#;)RPE*EP;PNnK`y{-(}vwz`u8!+Zgz_ zpqTd_3H*C+=)RAnjC@AZz`v;h;NP%&kNZ>Tz;~u0e?Oh6I#NmF3V#N@^$2SDS+L>f zLiguEq)9ctS01wx*zf(J`wK+-=in@Jc*v)95M{-XxEStb0PY3rGL8e_{Nn(g)rF~n z{e(D6%YrEnC!s)djVPH+zY4IH#R0+rP+Edl9PO;p*V;HcCDgNT0;87cLEhYyrQVMzoPbpDjjE~E5DQvrM#4CWr3XbBjIHkvxjBm?yj zN)D%eT>=`y5+_zH4=!u~>oLwPdPt6C=fy4WotP(a?6#AwWczP~QZdTXDo$ zz>s247a-chof4VsDF0^TxuhMNNFp=*x_GV;#0g^&?-Jfn61Q;_*9Hn3f^j`Ju;CA! zhH|Zi;@Y!+&w(_G>jSBg$0)8}95wP@tcLn8VdUjw1O~$tV40*mA0z8w9ycJ?kJmBs z%UCylC3Jt4)(sjj@0aTa!E-(sy1#~G-j1mSjNv)IJ`B(K4T9(FaX&N!&uOXA^_vo& z^IM_&+q4*cbTm9Cajm~VjLwKIN#<198S@o=72+)nHXp-K4ewsazD3|~tT)SgC&1E2 zix?eRzHlgaR34TNnN`AiKA48}{LWgio+qOD(oH7YV)w(b1)Fwq!1nwuVS7HTusy8= z+w+mo{XOF3DvCM{0w0SOyT1>SQ7vXT&__p2u|&1|2bf+TQ(FHJqW-ba{Wys_(fyHl zr$`u~PlWCt5j#I$cw`u%2n|H19({uF*u9Yupr&vE<(g zx5AXHY2e@VN*~A2o;w)Fkp}IoY41O8Y)`hoBY4ib=o}Ijg7u7i+wN82*rWH0!%s^} zlHxohLKovu{oIE9O_!d;YEHnK1WF-)G1`z?8a;`I)8LFYf?;K5m?}^n+D}yX?19r$ z3gUyIxfdt!g|mdX7@R+=$BqK#kb-29@OTlpgFr-WLP5*`36Lo>f(@a-G)5_&*oPrX zj6q5;N)*=zrY4C|LMfHWQepO9poxrDJ!=1%g~GjupLh3>!>8}QXRa6wJ?o2c&7QY9u_&-P+@Or#6sPQ#vHteh%G784(Koh)#gve zmUIfX^y$$3jCzv6T>Ne3Y{30H^LoZy{JpuAF&A%F1pkA?TzockKS%7Nz~E`j#h#P~ zq{7NK(ETED z?9~YCbOer!mEmCNo>n|^`fjhJ5d?#R+7Yw@&<6mLC@8bUQN*wg0zb$QK{D7;&_H;0 z%{255d~-R#E?^OK_=FI`R;$xTtRDpR(K#BA-i3D;M^WnWYj_$3=7H}tS^Fu75Wp6& zP2dSm**MxAA~^Lm!`1=0prbhtF4ssWXo!QK%N9UgOyh{A#YhdUp`sBnE`x&Osi^Q& zkB+cZeGis-_~)AjoW&h@uyCYzq6+OnSgICyVYLxa7;Q@j*8>d3UqRF&rXe~Uc-_z1;7s2jvV z;wa9XFH5|Nu87d*L*#G#xSnuOqlJ+fH6kw23w89R<(U=$heAJVB>{>i4z2}l*?;ih zLCuq~r_m*d)5fP}U2ST5YDx|W)ry{OVYo1qDbpV-CVH8NJyc6LSYaR_xB=fXfWDz_ zC%1YUAbY0w?;llW%h3?4f1^d)24clgw?{?uz={vsHHwEeqLQ*Uxo<+7J$(99$}=70 zE*gT7opQ`g?meK*o<1VMKJuOf*z-y9`OXAx1tu{W1fFn8u~=ZBM2sTT7@yuDdUm%# z(LCDV=7A(DeAzgLR!dEB90x0nn_@?CAWHEv1)nky0?z4^U@CBz407fETWU>VAkx2& zT2tPk*1!M2nvzf9Q9!wT3eTtTd@R!t|dr>4SB^!^^wZWE&?WiKvI)c239bE13oh?M4 zD9{Vj7n7tbQNt@96j$LR6g!y~ZAsF(M0|;LbD-SBF3xqe%r*bTYu3lQF^+6FURJb; z8W}EY9Vpy6QEn>c0Jc=vQJp+G5|K6t#~7JO!Pd9|>!IZ~A8vKgv27e53y0E{-3$CA z%seMUv*xf_6w(yoj>VX!?UwmSU4k}N->HHRXkabD7rtbA5k_`NK9Gw$q32@ zGsKi_{vc3_IYAC#Y*)7%Z2ECm_OO&Xn*c!+bJvcx8h{t9L188Pwu*u__c<#F7Dtj)+;>a9As6Gse zbe>@@BF{oOmMwPXEHd0+*HN2S((15^xouF%b3uSg$0o)8Oh>JE{_#}37hMc-- zZHZfe+h%MZP|?T;hwx!!jGxguhCMKnNf2n!!h<+BjT+hhLO;zo$ltBmDsIyd&g|Cs zMXm;P?A9oh6bJnxeQoyMbK+=M*TBwtX3)kp1l+o8{5?dJ!dW&*J9%_n)a-C%KgVfE zh^FLQjG@KM(?FR(%f=u;irzW1d7xS)6@w^J)H;;3F1S_|rl6#&Y4of{z}kK~B?X36 zZ!$PBYIO=55XC24JvX8@Q;5Pyrb;Pp@O{PWh>pz9G%}Z-bCks4*Ra%8ZtqQPc&M8Eri`qsWNvxfvze_2*_3X}-$BIb1hP>%qN)VOkN6RhdiK5obD%)4ESPj%whIbKszg(t03;@Flk# z@g#2T$jGe6ue($kkZwdS7?3C!+Ls?o#FNoFh{sd#5sIfWL!@|+K*X>lxD1J>ah9hi zSTMqjs+2hs5-#f-g)-@uja;%0mc#cuws%^w7()4oJ| z2YiXJII<^$7c}U;ZNB#$SDOHY?AYR2RMSmML~P1INZi6@r>K)YLMdv#ir$#Mu*%0! z2AEmIM<_~MrM47NL~WGA4PHRvR?c#p%rgJVD*%QY@MuwfC21@rJC!&Bo+y^r9S91G z{4LyJ#$oa3ieJvl_mQXlcbIoh7Z)5#z`Ux34ghgidF*6?@Tf^G&5q+4@GHTUFJ~ok zp00#fET`jj9d1fM0%=FcRR@>6b6=!DpxUUu(uyZeJ+DNLK$)0+Sn}b4!oE6`4tD|g zCy>hn0^1rD3UnEuhQ-ZsjsXQ6Bo-c`xqtE;1*7J-2UOj6SenOT$>?boh3l9r$0yC_GR$=OT-Md{xeP9gkNR9TjwuQIu?c*H zVv=VtZ7G`IXa|<;$EG;T9+_qSIHK@lKPDG-nj=T8qHt!!li5@E!pR!m(u7UK<;vT z!FkAqw*z-!EJVw2iI$F#K#3A@@*+N55-O~oA4NHon+LCo2)GS+leXYz90$beA?6yc z@ms@DaxF$^MS7ArX!^o{2N39@3tX8F+|p`wgKjEMJSPx*mAp*pC3?qm1M+$o4xCuA zC(V|u-io#ok^8W2H~AiS-^Ba!LR_$e$h)@F7keRD zBUaUYEO5iC>QmxXbw9m0olE3M*WFwqDO5mmbItikDb0p* zZiMfgIK)|=EwhjZU0S;)Cpz)f{A`{t|D<>ohJbIFm_aJJ((Mzs#?vJbdax&@fxz-5p2|#Zmkv|GG0M_cW&E z^Y9!zpJs|XQBSt1>}PiuS3f+VF`?padTIKi)An3c1JOQ)k5D|1DbkiAf{9D9S&O{w zj&rU#nQQ*7aCMAa<9b+qG3(&JUQ0T!DNQMH`KVHWgDC&30%aggx!kQ4X+C$ai{tKH zz?Z@!$Azh`9Coo&?sx@4t~;& zRWyy_*nKwgjFrfOL)J8kTcfqvjgNkL#gb;V<%65Zm(GTNT)WEVw<7S+>k-5z3|$P6 zW0PS+7kGIyiP`)!CADK#JLrq)ixziL4*_mEO^*75 z;ayHWEEOUKuU%A>VN^l!qm2(cE+hCu9Kd_pCw)Ii0mn5;eYIZIkn@mB?Cv#t8p835<0#+HbI=gi_lDS_3r}IvCOORE`A(GSIO1C3)Dq7fAY=MzX;HftA9L^ z6xNCck1;9{oARs+?YzW6MwtIqZozVQ~6UPb&{=;Ez#`K^GHr+B&oq9YuH9Q9DpLjlW zHXQSv#78JjvF0bC>vW_ikFUwI;WR(5$>;MQ$GPamgYm-!=@c#vAtVp52`e5#ItkHq z4A`j0j!x1OCF+F~u!P(c_8&+eHJ0J)(1e))1n%%g>nlo#S76fa_?NJ$~th);vb$>9uVxi86*b#hqX z2dU$2@nWQyH?osMoxbj1Cx=eV+?VhhF%>WJwuEgpzcMFjhe%_bs!m321*;&K)C#^RR@g+VB->X*b_h zk2qh)L{n|+xN-ev#VI0TsyuaIPntZ{N-3C&kHjH7Z7% zMpnFMVj^8}iZAD?JHsIeSyi0HT#=mu*`cAsQ^@cX*o~*|F1=kfoWaNB4ic@)28-j45sz?*&vwKM=F77_lp4E zhQPF5JZmlU>jb7bdZv)HU|@`-eHqe25#lc)XqBr`#7sZ#bW|Svg4pI5+nLlMD{W#o9ptC*wW;G$=^!+GJB5PH;uZ^S zH}odD?}GM%!#U|53zZvI5L_aG{US_SvRA7oai_&m+J_c1;M?)|VhdXzAF*p41L%(n z!{q!(3yXK6RM^Em;k=mO*6c+KsEIEoNTTT@1sp=WY;+a>!-(T~7pXk_fN#h6%3f!H zm#WY-47*iS+36;OBZp^;6qpAZF?2(}FN1Yg$@Plh%n8(OjrUJ@#*w)ZMU*?ZfU%{| zOqI2jnThJezS4P>d2F-GJTTsbX_^MERPYR84uU#lITpWQXgs}FgT^JxaeOuJr4Pt;J zjw|%9WbC7e`~~0~Asy_tdOMil*%@w>{!IKEe~n-OT@EAC3PT)~5(}Lhcdy$UPz-D+NzH1g#85br0hs6t804PNE&@SWccq6E61E{QR5c^T#dv^WfAV zF7_Y-tw!P57#BMk<6;kvz{MV%%wm5S7yBA+^k`h{2V(8^TaXLd?c)^}d*PfBuSE+X zDc_2ZP<$IRMM?_EhC0zT@Wn)O?Mm2TZI1w8h7jM59CNjuZN%xb5steqjJ79U#|3={ z{?@i5fiPyC_)bpzE=s({>vtPYr>@@e#CIckLA;(GUQ5_j^+cBU27dZRdiunHS7nCp z;S6u03_F?@Z0HEG;EC_$)HmZV#c;1(1yiR0POVNccEtA~d9HR{+?G0M^bqvW6W`CT z{Q&+F^*smC8HM;k&c5Ahk%?aT;)n42*tXivG_jueVSe>T=+&Ky4oTr#kQRy`r6<=| zb_<}*re8-%i-zxsxAJRmqleppRU^=!Cw>e+i_MnP41B8tOrAhsNgM_h?&UMJg7|Sf zcf{NAHx%!nytV6Mt~C(Akzj?Mcqg75yR`NM)CX82PK)S32@p&mUd2z~*<9@^(QeiW zY+4UQNBktxYELtLzvmqqANL&xRa=JNt|AclxaoI0Y2{o&fvoxsP*_*&)v3Kg`KNNf7y zSLw%25AuR2V)a!TcjALcL$6-l3c5WC5-NwICw>j-7>y7b%WgYS=3keYcdh7x!jgg- z9L9IWZ*bo0soN-UDfNEcH@avFB!}TU7Lx z+EyToVU!iW%|&vbL%NqO1ipsf!|!nF^$1_3pRF5R-Rji!RtqN*#PJW~;X}2jqp96^ zI!MH*?jaPZA$}K`9G(|819 zeest_f2g(tfN28&XY|!yAz`kzi{&ce;-@(EDi5%2zwQQ@=RNV)NPD<;6^TzgdHfC1 zYMPonR#sLJT^2$7ZJs<@#_~9Fd*kBMlnrYD0_CpO8ORPWyDvUN$yan7#6A35`uemi z`v%6~-yzEqkBwb42iFsR{XM;Wnbi{iKwoxYFr@qavq*fn_Eb6UjgGP{4Dj>Bzv6o+zJR|)^GVXD=LYkg=2J|2iLieXB=$e%mzHj) zUx)C=e8_yc`62Uz=Jn>M%@>)c%_qZcw@@C{H<*zNo{%Jzwjdz|Bb&v Hqx$~=$fEPG diff --git a/PyBioMed/doc/_build/doctrees/download.doctree b/PyBioMed/doc/_build/doctrees/download.doctree deleted file mode 100644 index 9644be5f7df1913c50317c0506d3517c2a2fddf6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 7945 zcmcgx2Xq|O6_tysC0Uknmu+Drdu=SqVABi+j12~i7Xcn4jF)A0cXt2CyEFUW%vcie z0Rsk`mXJbxDtRoxaL(3p6xOpob|VS!oEk-@h!o}8oP+?Z%EmIC>{ zYUKOeY+n@$a-L{3+G=s1FPe;HWz?&+Yb?nHq8agP%=;qD7m606rwZ|dk6t8Z7)=?s zgm;%{HM&b^AAHPW(Pnf3>w{}735=$+u=5$D4F-pzJv z6br+KTHB}Z+bhpd@=Q1t?B}E)WdCnh+jElQrtIq`}x7_JC|r4`{knBEv>CUi>Y*O)G)R5rL(Y?#c-1;}BWl5x&~ zEpE{{j87jdGIL}WMT@);Q4K125l6KNQEkyA>W<}2kif^nvB%20MP5i(uJ0DUU-Z@w z41`SUPrHSIoSE@bW7+)JK*YNNd2uBbqq*!$Uc!KFpDe4U2qq(jv=$#K47meYUaI5} z2YpCw1Tz?<#zO$=T9`^{knJ)+uv5v)+1hgWKFln4aXN{Z(Ew8c*Hn~sL~>UuX(AlWx1A^<*xp=@Sf+xMrT;WH(@JI{-O|(uxoOovEwf_2=4MVb zYHqehpo@^3wvxjP0YB_EmnLessP9H5>1t}`Yb=+jS+-X|z7vf&NXu2S2p574+TrYC z{z)Z?J=eqYs=>|Ytdd@pM@<`lGLLOh2Eq91T7{x8J=<%MdtiS=$x(LeamB_aTIv;& z>vR?3o`w(*fxH^gUZbSKFkOU^un0|&VR>yO{Ogpwp2NQqV-JrzK3Ud4!SwL(uS}b0 zg)U2ak6%+$hyG$FEBB5^=7x#+tlc^@Lgq%n?7m6KeGI@}2H@rjW%o`(+3OgJTL8ri zlFokMd_c)tBb;y2I14ZwOD{;S8Gf6Rw?_&!48Nl$cX_9nry2et(V!XL8KLmvkl}YJ z`4TP^zx8cD#9QA>f%9$EoPSx3uM+3W9$pT>4#(^(knby%d=*!NUEEcn(cMbEnxm`C zf_tiB(6it*lf^JQ%JQ{>$$qbruVd@?aIIfIaX_!Qn=AZ=Dzd*3LA^=IH)EJ4`@LZi zN)+ek-+fBHCAu4-qMv_nt#KgVCKl)lyj?Wu3e1gSdq-G-`;~kr=g9BQ+YbHi{4M}+ zUv&}QUE{7)gtC+OAg9B${9dH|J|*AJNU@juD|L84$q#Uhmmc})yh&IEJ&PZ#N=#Sw zgOepTFGBA_dKN#VeJ`*!1v*5;(VdT zS&2Ah7heQWhh_Im$oR`jeuc}xJ|3yi=20cT%JJ9E@(&Tx3GV(m3fe8Dt~4ZO@phdY?)9rUAv$7`F%_YSE}bhcn_rpoG5D4 z`aQ$i7RER6b@Uk(N+*0t4RfX-8a4Cph8H5$7I@mXmuBEcQ7eumZVhu5)%+9qhM_jC z)*h-2b)pih&fUK40(A1aud<8XSvzm7qM5io9=#4dWFmUYBlKqRAiUX8Cr%X2*7`le z+7{3|YSQt&!yFI;Hiv&V40Rx)@d43X+(U}<@S|uxj!}y2DonBRokI(>+QLw6$UMSi ztNGO7Nc({sErPf4h;``*CL$J#5L?WHm~TsPqG+ks?-|y%fLJ$Qm-(ip6Zyu;GJHq# z?}isB+huTudK`lvMLjr1_25LRDHneJ<7o1NXw2}*biAxf1&gQ`x^bhe+=1mL9WB=; zSKw$gL7-c76w|_$EbQ>c3Mn_Aj7E913gQGE%Qt7$bab`7)%tE9-#u#F(4R???aJDsrk}pUb0jwDEQiE#6`hy*qB|d9+1K+kBT@Mlqht2J3O3#^^jg zZ_ArbF2FVb24*ZepJh`mhqm%bb4E7{%|ekbz%?hJivk{$d+sV2m<;z0l_7RgD&INWYvp_qw?i?-~ zKQFlYNgo|2?#0sOxM?)uUSIE;bs5^lm$R%<8#^(WU4d6ZF~O$mjfS-AWbGVXp-t+V zgWY><&&Hk>CAD-;8rw;`lUBjB^GP#_$5>``)9jc1&hN{-kWUyuvQ)+VF9mZVf<#rkydl(i?4%TKN#fjdsne3W|Z2wt5BZt|euFoi>m5 zKz6`rW%`sCj}gd>a^HSrWTZdb6w`|bn)?IL_6BH_)$j~(d~-A@?3~EsACsTO)AO#A zqpSF|s}{a-bMR`Y4C}ek&TDY8g4Z=Xc&eQt#V75U4AphN7QzF@qHx|@c}uTLz||MY z(uNaV2NlesQbF|W@aTF76SS92&eik9c07ypCZ^?Z{W5d|Ztgc`U=s}!I~3gr5kDq0 zpyj3gCP?E!%9u0$VW#&lX&(=&)B9X>GtL#=f@4f9Mwej;J{aetKRyrr!UbqoEyOlX z7dELDiDv_&vu1BKeC+Pm1`gne&igukgT7T8!yAo$4~cg6u*roDEo>wh&Cz4TquZdG XpxbfOZ!p++qdRb+=uRAiRR8|~=^S= zNa(%y-h1!8_uhN&z4zbeGyCS1)k=OBzP~>#>pktveBPGXnc3NW4?KKyzTK=;>jw+v z`u?gk>PzK%XVv;{wN~1Yy3x8`qjh+%b;Rh*(WTnnYOUOEUEc`1ooa2>M%=3xm&!Bs zYHOl8-&xf<^31DSN6pX9&Vg5_TA!U=)h^@q(R;4h**a!!<~G%Orz}qPEGbK~)%t!2 zZ^&}%*xt+$#b&d$YWvKwvj>V&-`lOvw~pIBb5y6=q3|2@TE~y>UVYeMhe>&FS<3bK z^4XKilhWvvtM#$5@y1fK(XMu?je6^Z`BGz^7~6$+ZwniwIIopCdX1wEK8{(6pQa9_;L1>l{8<|F3H*Bb77o0F@Z`THwA}2KQ1!%Ej&+TE5X*r>M{E zwa$xCpFdi;*`CVH_f&4Nr*g|Z6*LOLTmUd9f=!Cps`}1AbeCT1LLwSaPu%~jzJ(Z|swm>{7cNpb8A@-79Yb(WO ze%Js)vqzqS?CD->hO*fqvcFyi z06UWBJ;etQDS(aASb`#IqEobXDW2WE*1cjpmk06O8+cA~68qU0yej~2Pp@?!!dtQM zEYR*w(B3eEb|3Uxv2~@QEB0D*F}nF6x)RXc01TAO(3F8@Z?CmLG<`o-ARPk(gGYPm ztuxY7>Sjy5R6f|MDv-rqYhMhc76h^cAk-W_2g6hcrbe&TB&K2IT7b8hz~fL$`qJbw z+I<^(lPIiquhofRb%ULFKVY%1#*_zu<6y6~OdOdXu7cpU6U2R_(onukQVCQQUNz;$h}^-#kV|L`#2x}V}Q zCH-)~yQx<%lTz+L;dNS%P^gdWwH_5ieRQy99s>lcv}R)3#{$FSdacJ3gZI-DfZ~x! z?RdJaUGA0|m|j~?ROwIZwVoVHe@d{sJQdPabs4Gklcxd0(|fIF5JRxQGlAquNe2m3 z#B`%kYqy@IP@dguJtv0p+#rI+ZRJwyHHz=Gz1Hhue6J7Udjs&X>NDg9?Tvu;re5pKgf_6yTY&1d z392K(tg0&Kt%~7oz1G`f4DSf`;CBK8)z@^TyxN{%^#qJM+NwphSKb9A@9wqULnJE{ zeJ}95&EetrzYQ2CO&L9=Gf|ZD`xNE-d#w+|C_fmisSg3=Et8r`SXga+7#Kg&Ykia$ zhZg)85WYXDvFsQe>ok_8mz%IZKd#6=(QAD&M)s*7vQGmUhgeK%h&}^EpY63iM?}E_ zp9hjpBuF?mlDZljb5q9`6vr2PtuMtmz8u8y72r65I2@s&_$p9*t=IZGQ3QVe1~7av z!Qf96Fq!Jb`PMfT#J75_Z^t0M69n;HfZ$B5b{Z%R#rJ^X`@Pl=h$8g+4*}y_35;x` zOwAYf?rqfI0{lpE{J7WpNsQyCK^#Ae8YLz*AU_9?U-VkPBoH=AUx8l%$&V8x^d6E% zne5JuSISEptM!GlG^JYav|GPcOuy;1ej8)@T@cgnfr+Chz{Jq~0qFkNYyFAnRw(*s z;QUR3lh2aioG*6TYfG)aD73%!T7Qe7{XGcnAAm-C(9s#1e*(?FdaZvGP5-a|0f4_I z0FDDWjILT0Jm?tym$K!s>m7DjPp*egLm-FqB5`u$2wW!FXLkwuD2 zDmrWE&K29meR6XaB(huJOHXcz&luUQ^df-l)+BOvuW~VHx50ftI|=`Ka$BW#25_d- z$)p}xq`(AQwim+6g#M6ISd!pY<4aFQ@ELDIO(&OAzVfV#1;{Ar2=+{T>B$}N8H2r}UIf72i9~KD&oDJG zXW@5XF5q8J&Q>mNN)MJkhulUM2_S)^Kl;-FTlT^+*zqzt7l5xh14U96qsPUKB|>dyIja$3Fxl)(vyqu83VeTUi3T2 za(5D)wEJiPs%R65Toox7tD?=g4_I69uP66ZYF9;>QkRf=WRU`sDhgVQ&I^;RBp}9Z z_|lW@_>3{`(2D@ZNfKp@N5{>uUW(s=btnGyWJuD`B!C2Swmx-6ml+l$ z*30mvC%f<&W8JM6ffl|OiB8&0+thKn95(>&-uTy(E0pZS)X#fZeq@m%lGe@YW9@GD zVL5`C#h0F3iO(2JQ7-~u=1Ao9F_~C>&Eqy8mGG}8WhHj{I9+HjX-5_*E&-OcRZy=} z-8r}`vcSSbSHYK_RPh<3Thxm{v+g62vnOLt2C;_U0C5TbdQw*o&W7nL*&vsZMG8)u zGaJ~`hA3*}R+=nMq%C~uiQqFv+SZEz(hiASoG-=8uy*k)uB)2P86$q4UIY+7pG2_}7zHE1wgG zm46L6jw}+yAmpl8nr$qTIi>bmk`Vdp@TDiO$7hWE4SEqk{zeix-%5@niv*D%&qmv#I;W}pHkKynx8qAs-hs~;^gHz;0Qy}da>2KRmEnCi zegxk4;9pPPt1Mg;uD|H}$Y*4cq7$ft1|Y)6@_rH!?FaCsCm+OTjP^r%5kUK468QrV z+zjwX@H+s16#shiG3DY9z*OmvliSE50VJ5S)r;9NT5*t1urvXG5?^}qDSXC&Kdl!5 zz@H(JtKNi_q5Uj=1lrHxUr#=-EL`>W7ySbHj4V=g0+nucGWy1+C*+GPMvPy=m!5nX zpE1U-=tThIS4rdo(cod=zJ|L1_jUa1$v2eNMWj<@zDdfFMG8w$Wg}71lr7(4Q6l>` zzVzff_>7T#S1$s{zDFV#n2Puqy6@u`p!)&-_2h?2?;=!QxgU|k$RdR%2(w04yjmhZ zW?^Fd3BL5?r}&I9{!A|dCgIOXbkgo))jqYp@(bJqykFv9PkyDOCwfJGO}ddqigL*4 zg;47yEvnCAD(N>YPjJ7*m!A9%pE0=K>qVdf|3IRXbQv_w%xdwE_!%(&gnvExvobkx zVBx=z*T^EpCsmmRJm09p2kT&owNaP9vOEF*4PSclcYMZx|DhKF!2cwX1Ds}Nfd7S` z0r=ne*OUJ!69+g{_`l>evPkg>;OvZr)!@c_L!?~OxRV@qc!c?S_|lWZ@fl-2LN5ZC zuTLVU_dR|F`$&`k?4$6nCr2wEr}qbxKZYDf76~Fjo*nH=jj|leVyxj+_<}GMK4Y{u z(2D@t<4NR3J9rqv6L1#@Z-{?AxslSk(Vi-EV^WSRQdoj2>*sM^SSu&8AaUIUUl5?e zXN>D+dJ({Na}xEtR=2=y0J|mr_2gDc-0xc5nzSQ}6qg`l96uRL(TrsS^fsg*#FOv^ zfhv5)5Kq>N0K`*Bbdn}HWZ79Qu0{cX9l^hzoT_Y298&x=@*7zsgameW{+V3Hd{v%D zqKTZ&(u8~lz94#q&lvLU^&+61MoDCgj4`V-aThr6fPX!?qte=HV_fD=q#RkKFbA$* zKP^-m?ee@-o6T}v&SH7OE8q(PRrrkIoue0l8eKyoH{8?AtUlM`XW(3ie?2)@nYiH| zDtsP!jVw}pQkz+GT6Lf^^W=OMC*BM21wku(#(3|d7XiE%k|^c3I$j3%uJ{#jFT%f` z+)a6;{MKyQyOYz%B84Yt8OCy<#J1dn1&Hrrd_f=!pE17mdJ$;uaT2-UQ@k2CHn~M6 za39Dv;9pNRDzytfWlC)#^~fRxCQY7Im{Grvd&y>!5akwpL0k);G0IEyB2bH4Nt7}1 zji1%zHk1I~?fBP|9m*$T;``+%$#GSd&S?XMzkaXHHq@V)T` zVK02ffcNM{0PuZC6i=oxGXp$}p8@zv{Od_knZ%Q6U*S3O8d;?H1aLNDKVK;dR<`C@ zl2A+df^Zl%PMA0&mvN4bq`~Z+u{Oif0l1J-FnPU4$Ke9-X3B0WPkx4z2 z8VQJU311Kq!)J`Lp%(#^O%gfxBg4(Ww(vW^3jXz^tz4Y@5iH#yw~<8xNH8DC`xymOMrlDK@FyY>!An6?C5;N&+H%7``AbhR+!3 zBlIGG^pPa;9n#cF(xdP@;657vdh!_M;ya|N(vKy#kwpSXFlX(U*jv$5S9u&M2>S8( zf)E)#W6)33ivZ{+k;w8IBa6uD_sRGTfS-bYJ$b5fh?0OTh1W_xja)_+DL4U}P1#5) z7z&$-m-2KH5$`kb1u-&w#(1Bl7XiG_CXvhF=;LT;o`W*L{apO($@7$xOXV0y@qBU} zStO7Ie^#Txnk^#n_600S&@aRn1j_IkgMP7I1VF!pL{6hQHiq=2_yI^?hJQVIxsp4L zmM!)Q(vK`sWDKu6v#QisDk4Xxi1GYNzCg=CEsLj#((z-OsPX&x`!v?W5XQDV(p!>v}24>d7KzwRf`U)$%TuRO!5Njl7$;=N{UfIT{(dZMwbh!JSJEn>o5Mw}{!h zE$_v34>c~0g+`N(al6-@x!!zF-iIGX7xm{wN7S7;yt&+y_a{Hd2l!oGh$u6su(J$@ zwNxk;_m!91@0i$rHOdG5wk{P`m&z4&Z6)0&sbtbabuwW|1anYVyhV-wew>D9_dS$s`@af(9-DG{Sx zL-zwr;nC2wWqGP2@-fmgp5=+-Ql4hoQrsoX)Rm8;Xyr<;9Oa~=0*S!&NI|aF%iFt4 zb7hfFP!3}i9zAn+oJEsRj@4@0iU+rkJ45G_q@2fxN9ocOq1LJKh;o9X^-~0SkyrG5 z2cmIdS>8W?$r7sk^B|~v z(Ftd*~ZXc!iXyfV}= z=2`g~iY;zMdql0sjM%g@k@V;BN_GETn(}oLT#gT~dTDt~T5>R3a4f!BE8ifPC+4SE zBi{^BXtT#lMwlB4kwN0j$8QnZlluGCS%8)?s*{Hr8=I&$%TTqYa%!)Ue4CtT^?Q(S zPfpn|V8Uw~^Fa8k8*|?wkHh+ToB&O8<3*Wk)FaLIeUb+>+ggw(N&-Em0Plc$w^Y5V%*%Ni5J<(V;d-`H#N%_+{($Vb zYU9r~_1Iln1CC0Ssg44!MoE42nPJ);)+ z8R-Kp!hxpwaY@fx&(yrBE#v3Q&q;Li{vj}g=sfwwp%a}ezdUrJb@Ho2Ct54NK6Iir z@|!~^I!AsxfQW&?cydx*v%NS!S(Kvu4itT}6aAV<%eplEf?hS3=c*VSCHXyxUgN12 z68R>?W*88Ykpb}sVhb1$nN5e;?(1}({E?J>{g;Es5+kUtr!6hxPb~h(a2L`_P)lWd zLzZ;RJDd5>d?epsxt&&5X zXWZ+rWD-z;Tz2qdk$+>^&HP9VTWex{z@6n{$?U4JddUsSw)~wWTwe2<@6M1haAt@r ztAsfMyBuLub{Z@_1&6UZFaIFZz*NDBD>zk5!l+zYJF&LO1+dM2NguT29s zR=ROZPhodCy3|#2Jm~_em!4lN<*n4&Ol3;(`kxM=eCJ@QEo`GkUk%% z<2DrME3pMEH{z27G+I29x+dW;gqv{5_Hnr}DbDZjWsGsNlv6KqB8yR>MB0ZdPW?5y zyX%_wCM+GOP7)7Q#qazu#Vhcdflv@#V)x*pujI_c=Oz-1k(^Fd+UX)w2w67Gn?3T1{p;KKd z*Q!fZtUkzXh$k?0aK7np@tws|wcD1HNEE1(p>FN@nEq}{!oc*0+q6IAWd2UuBA1`M zZeC6qz>vA=OS)rVHA{>qEa{w&XA*ixSmHrR395RfO%!!Jx0yFQ>*wCHj_8{wv4V?&cOcGc#^t;Sv;*~TtigO6bEA~Y z8|r02#`PTuDxj5z_z)A5jEl&fNZDsO+>wCBQh}4CUk1Y}XOT-FtU~#)l$z0sd%^|w z($>bpeOZz9slxJhct*m2N zW>ZI+%1t>Kyue5iF|Kn_u+Mi5=!Z$_hiT}C^T;_+3pztYE2`Ou-1(%qe?M++j?`vz zZ6FsI=LqwiST*pEQt5U{r-%*Xo#l45)Gfn4mOGO{pl3Vd*gd=&JM65eUxc9Q2)LKm zH@XaFAxJHEA&WqN8R~&1qwcbaU6;v)dhw7wta#xV`=_G23wBwajz$8+s;Ppxr zD7uJ31A!to3)&k4E8~Lf*eZ9UJl_TJrs8I4&W^N@yHi47Dn1GloaZ3-U=cbAQ42cT z+tYK=a#W<@E+&eshT}mn;h@??xz;JdS6wS(loXh$SEgMj>#sBIIWm5oY1hca0NT(T zx2;^PThM0%=>l`y%FlYPY#bspvj$+%sRivTvWawD5%6X%x@6)0I0nxaDY5hGu^<=q z$<1UE=#%Uguwd+@C+Z_uFzJwpYyoLyohMu?YEb;*&P}=JfQMzAK^2V-eoTdWxW}?w zLLt6?LvwpztVy;~L||-ln7K8^*rC&v#x=5yLay|lWOyXz+~&M&AMh-kZNs7S{<~|Y zcF7Kk_ZR&*`=QdKftfmBiA@pRHE)o=P9N;ZBpL1Uo`YSGKB?O!McXj;>SHhRQa(u_ zxDubuqDSD679wS5T$(m=6u5U2d|J%d*2&Fd>o-ixR9v3hf|=!T?e4)!b9=ReRrRt( z*QZGw=%6F|Sb*eaChayG)FMlV4Q5CkaPNlBTd}Dg&0AwrV{#c81?DY2N57M^sf_qB zqM!5hsBjO)D5!1e_yy9 zRDC0kwuu?R=zr1Iwd>^GEbYeuL)vmjYK{F00t;x%D1;fODasxevf6ZaD@ynQ8^1^NoZqhZCo zxi~+M#m(4KD3U{<(^G{-QvwHLv|3R@9B7Ud+$-jd{xd-lj4`M|TdYbu9a@+tmq2KN z_5+$77K)Tmq_RC~4>nl3^GcZv*k7XpL#G3*z3pZBfQ>Mus>;Rv%LE@yU<>3Bs4D8u zm0NCX|HfMRU^Vi^E95nx;ewUOmEg7M3apYtpaN;$hB;{bHqByj0E=OUT9h}m52P^E zyjbSYkjj3{$u&wG&QA@$5&0`&C&7lzkON#NNu9X%7r)w-u#Jkz8r>L~_#B!*2Go!12l8 zw!EZFz%j}$JU|qF$dTX^>m^{w$U%w-^o__|h-ZeR+RWeBziys3*)kaf`tqp|o!FPC zYh?DN7Z|1+4DrfUgzfh-uI?ok6ha+-Y6Sv%3vjPy_eybrN2JMpi6XR0>II-C#>eG; zEE@!wsvNICiKvf?x>K*2FX~B89R7t>yAy6m!YRT zj^zVAB~qaAM&3k$>Htgpt;dr=pm$P%`U5QXqZ6Ow2_z2;F)BWn424J2FY-hd4WvN1 zDK1zi(K7FoNZD7HG|Or=LcI$HQ!FBTw^|o;E-pyLW0ToyK}xqubeVkZuGLZsh5t(}|SUVA<|p8=q#L zgadp_>lq{sj70j(8D)_&wx$|29wk2pHwGC7kvaWLG74x8Hy4{r7MM?qrBbCW&my@_ zqI5qjop0#4KCdayCRIQmaM3Qa1R~F2NiK3k`a8;xaea*4#(mR6X63mo%*+DMI9da? z{oPBc)92G>bG_wx;MUjqh8eToH2-{}3Dj&hN!?WI3n9<7SM zko=qdPdlPS!J!$efTp~N)P2KK14QW&g2f7VxUsyL0Q~`y%^_wl!9q_J(W8doLS8~4 z+B>p2NNnfCSc8`=FJ(#g=ct_zMNh1iml2yEoI4a2Yvko27S#NKz)`oeRID>$^CMyS@SbBtp3L@&XJ&-RJyPa-ier zwJ}qMXvVM~@7N%3W3hnkqM8FnW8`P1rX6`ZNGc~p1G~?QNT;A?wjsS^z$3-M02fpy zFkMt-(#1PT6IfL3tFdu;*8uhx<9QE#TzMYQyU9E-!1{1Z$a@Ch7#VW4;D zkP0;UHoTxk-bbQ9D-Rim=ga#^6i`7!h|ZG_96Hgt^1(wVS|=YmbfUHL;Q>TU0*Izu z_N?hKc>f<^*?{*SFT6)*mwlAwI3q`W{i5sCl~M~DA0xv+H==e+{E*}u08i~0-!2~~ zU7wobtQ#ehF_CQTgnRrY1rkHp~92+B z4R~U1)yIl$v99XWwm8Y>S)9php6(r*E#aA)Um%ab4B#TRAwzy@sVZM2Rlq_EC|S*H zW9G`2NE1-9gQmf;v8~)(Eb?U%YPY1nlgi|!RUMAXOkwXO6HDT?@UM_Z!1X;6ES$^w zRhFQ(%DN0(i^2H7zsOF}C8n>ja3JL_YoXGX{W?psrXsfLh7Os%EAkCe1Qawok43UF z$!gfnQpMrN-vk{3TWN=ivt}x+mCWYbpr5AFD-++M(7@sb{kf1K;Ps+!lRPj#tOI%f z;9!N?c-2>YWL+pMn}3JT;*Xx8Q`?$zn(|$u2-IA*FSA8=3DR4)R_EILm*jh-3JiBT zTmWhw5pr?3K>mG}4n(n?A(K){NuI+GND|OR?7rdFX~;sco^GBWl0~3-hE@r8l>CT< zfhu8sGBiq@0}_XOu<)7A1o7JW$6(i&7jiUsMIBRq!UA82`nrn)}aSnR!_oNCq z&oq)vKSnE6f8dk(v3|z723qRzx_>HT_m319FsC@#h5T>2-+v-a!1f(XbB_G^kZIP* zUk;gOt^DFhj8;`nrW*cD!oXk{Y^RK2sj|4h zJ>0v>+)*X}A&Y>W;!Q@Jm$0+%zbqY?jJz67dDWbH_aP~|Er((4w{KGtYd9QRU`FIl zY&yqI$?JhKG^cO?s;vMSE?gjovuMCBpdlB(i${(ilpjTt#%T^hXf>kC1-%dwQQE~>zM`Yn~Wy^2x-`i(&?Z(%u|QF9!H z`s>P}X@gzI+p&2AiVTbt+PHDQU@PzyxZSedlH)1!N1nSA<+H*&imNeJ zDGfA`xvMpEn9dE!Az*>624d(R7wslu9JFGm)5Zs`+=#IKAoy@kfcET-DKlWa9ZC}F zT3FL3QoL_X(`t(%7IG5`Vx%JKLhN7Gn-^dq+>{Lbc~rL#$5CI#ei`;{%gtEW5BU~U zTF9M@j<6_I+mYg#g*qjfpVAkbl zVX)3lV%x{pZ;{)xus?y(Ysqx&bX?szf5;OVC9Xh+=CcJo*#4K^$(iI4P@uyH<#}=k z(gj*zuu+BVie@JGbH@QJhKoL5?sT2#*2r1ciEf<~t`pr_IeP#dC&o;x| z;Q%7xSJsm-;CynVM2pw%JR=z=%GX3K!!Fd%7opb@wnM;Yn;5{>9GGN1B+dbFds{Y; zFc2L*7XstSEMq_I+P<(FVzTl4*8|C6KU_j0N~}5p=zT+yizyUE8P)-Mc86 z&SkmUI7EnBSD4_nl``MwRng%2Zlckh%glG%C_gX^Ry*JU*Lr7sR;6qoKx`=vuBSk? zCpkM@5!ykrz>3f)WDbnB#Ua}045mpk33#Hkw%i_9PDXBHkX*{bfg^D&&KVu=L2d4i z_t*)7zT-WHddo4sZQYI?>M%6`BXtb)!-^60$RnL5m~~zo4|PW~n^9(nB4ABXQ4Xwb z{@^lsE*tO=RPbhMX4aS%(CoViIXe_qqkO;Gu?a8Q##VXNHi}F@St|0S3_l<1w$VExzJINjb z-<1O1UzwYE#ND#ohr9!o7}>CaN>pVev!n}Do?EFky-3BIELdGhnt;xC8+rRYEh)0R zdRQrSJsen5<^}*`ugJV8HRJ|9iZvW{m7yC*Vy)$M&kC6Yx@UUf zBs#pa%BRX4-pT$lpju^-i~|+PMaDxPRI+aX&U~sml?PKBz{t7eeNF?DvTL<+&AAN- z>haW(CGrS34@}80O&K}m)RA=*_jF`F*s1lV#sJv#)uUN333OKD6W=x4rR#GI$m1DUQN4Rag+n6mgt6ZB!P=iK)?@77v71(<(65vJ)rPV8*2XrP3e#@ zptpucO?iq`cK~IaKy8bqTS~j9WIsy>0&8sF#5o+Z{q6@)9PTMTqs{Ii-;GCxn(uay z`~$vQc#YE?E4EgaNfprcPB~_Ku60`kp5uV?RiqE}+M(7M!cp$*(#FYk>1>D|=>x{k>7Y-)XsWP@@4Fgz@4HGfxIY=3 z1$FAp9ju;=OWMRyz@2u#tBRFyc>tL7xf^bZL<4Cg0{?Z`wB>;;?C0sTFAvbEQF!KR z0u5+Z_T@fLLLNjR?~A4gc3>FGHe1_k2Y z8Y~r1%OoK`oD2f(mT%tnvVtE$W`P-AmDwToAOxH*U(xcJ*MA8O&MQ9G; zDSI}DJc)FHIfR~WW~<=jh8-KYQ}D?o2xQw6WWR?o*;uF{fw1bD{3)ajOg&izfx+$N zH_1~;s1bma7qA)<<1kTnaV8n!Pa|dD3Js&znU+RZf*BpRJYK2sbP@*Impwew7^!jU z4X$U9MW9XCMdCdz@=TPfd_2`fEDEe@o@;en0E%*tpGB4dlcFz0aH6X3puqymvj>nc z=+fU{6V)QtND(Z24#@&-#aSrRF{ZZdWWRVW%Ln=eJ%H3)!8rW$SXAeURBML&&nCe} zb9VP)eZDNuAAsoyhe=*w7^2#Aj%aMsI6D)@H>@;yA60!{FXg(ck7V5S@n;64}?mq%%$Z>ip0sH!mx}YEU zBr=pbi-;1-%LZUS19U;#iRYMPG8tY@4gu>arHIo|CpO9}LO>}nnMwQgK>@FU(KQWu zB?X2S^4YsF!o#tPwel*`1yt=&vNiJR>q2&pyk-E|>4PeE3TNcXo)yW-zLO@;a6d3`LqX;c7({%j-!Mh_bTnlKHqWjkgaW{K+$o-vElfpeHAe)Ocre zyPf)PB>#YQcvi%}f16ekoyjZ$$eSqF5A$<01Ufg~UDc5{Q*=O=t=P|`j7c9^B=Qz= z2=y~gT?6~seppIxC1s$eaUL0}5aLjayp1dZ3ShXux(@#8+Xo2umS87v(7-!bG~jv< zahx(y<9Cui&_(Gh^rz{|yHLFH;z*;0q7N<-pZ2WYO$mYM1Jzn=2UzqW6*qYgMP<*S z9Cj#Dl>hMFekz?#%(SER87F70mG`l@pV=~)V2!*#L{JD;7De?};abd%I5Xx0#1`l>@nW;uSh0?}SG8O#$;T+q_orPpK`KftA17}HiK9-; zn#&l5X)8T=(7`9jAz&Z6)-&%q?%M1I)9$$DPm;3Fs#OyTQM}ni$=eEGGdjmnK1E8N z9_)oD*j2*`=jY3(NfSsoC(i7q=R}-pbNLJ@xd+;lM*loxf5$<`&80>?KF{v6BoEl& z>?{4cehbcV`Wz_&nm$vdrXx_F(N~;E_<2zFWz#Y{FCOITZ)Q(tNYXJ~I>;Bu#Mc6} zD4n@N4w1k1MFI`@U8|GAah>e&H#dA~0P&%yk2Owxe3^)S^}$2%)C*~5yiN(h)!%-YCZOY%)}3DggB5YvH0`4$T@fEei&8dTBdSA^7YB2|ot)POsBRXRaef>KW(WgFKjb%Nbf}U&jT}tvZ&1v~84A>T>%U9o{l)z3Xs_y>L z3zJt3OFQ`V`=kzxWF{t2&EmD7NG#|yun;UiVA+5oJw06+HtN&s5`}28{~;K7CcML10*Nd~Ydfn(5Cd#D5#-Jx~<`P1S*ZYxa!HpA$#GhIR9*tres5 z$uC%vZ+VRRKN|u*ZqtIm01J18XAc$y{<(0vil85v!Uzaxvliv%28RD;v#suRJ*)_0<8#@~}Vu(UIDnK6#FrB-47Kt_Sq=HT^u zlKj!iM(s^2#?Az2z`*U!ceb)AG!*3C!YqFRO`qz^u8+jijQp8}eSJT~0%7=zYK1QZ z{tLkcERezETljKqd!O)M2awaL>Q{kC$5`UKHmBp$pZ`YsfD+V%sn`>VhoBu;_;)_B zZ-$s|aY#$BHfKj$t3CS%F9dR@%ltD0fS}U@IaaH>6IK32 z41po6&uTg`8|J-qYKQ!rWPNiPm*KsRmP8X`&)Ov{{f8U^oi!Vk&QzFl6#h%XK&=gp z3GlSh!=S`N>YqWven*eP-K+QX8=##XcRjG|v*TEG{oQPvtpp!V7z29OK(aM*#1OJf z?3zjrCsD4ia>s*QpJV|mk7Hrwq@1;KB;yTAWPSZ3v@F6*S(`SGCRJc! z&j)sm95Vpy>3GjEc(J^vFB^%I3g@1 zd;igK6dGuvqaf6&WVr#E{v}e?;Y5S=I3o9|@o71p+ydQe=I4!7tRqfC!O9!7 z7JoxB3REJ-tvar9BNjL@v9i^tzI%Z6I5cs2OVDL&9Hw4BT< zX&2Uat9V%+!me$(1*Q1g_2^u#teUgd<1HyUprSbqr(CeutkE|>I->^La^+Se57;#v z&0&3;4LIML&*3}C9LhAIlJ}xUUrkrjXyNNMZbRvTz&HKJRO=@5Q?!hT7rpVdw~=jj z61fbR9)n!AHEP>-%54Xb(Gt^|bLKxHz~gc<%LYQg8Cy3y1INZ+Q%)guUk|6%fm#B> z^di+3tlv~+H7NQF>%Jivn+ZIE?!2aqP)?v1UIa-4`&Dcr`DwPPy~?MOaiEiNSOhKn zD2@L#K1L>YxjS?8Qlr$ZmD@cz9lwq)jzHy%s$o8J*vw%M?<{iFceL{H=!&t#QJvhP z8}~SZHyF8$Zd{}#xL+o^ajY^}7hQb_Ka5s>9bNIfp;3+4MK^ff-Du^6=;{LfnX!oI z#>skv4s>*5L8Y-VqZ?HFqm{ozSF5!=x1dBf#udzKqANx)Mm2;H-Po_?xm`56F`_qk zPJMJ^i;{5HM0A4(myK$GI=XRd6>(8?^)9`7adcJI!koCG8=qx$==>esU>?S3<%!W1 zUCdGSF{2wd(Hrdg(T(RQNBUyX4W^-tR-R?$wNa_5qZ>S%X0-B!=;}D7=CQBQjXipU zoi@6`iDy)2p6CWu`>2lZ=mw7;9aZZxy1{e9M|C!fZqRWW)ealoSf?cz+>LHO^HgRTbU1Tz|eYy85x!DqZL324Av0s%QU4H~8-8QT3Oi z8+(+&uIP#fR*mX1T6Ckt87g|FFMHKo6-lG~&7nODmw{`KTcB|V{2Mrey~jzJPI zHnHCUcehtYw$I$aei)O5w%n1oXO1hCu{SZ=taB&5b#$pQUq@DkoTZnmsyHmOQ{7vI zds-G2S^SQ#pFi zH9KVuzResjWmpuY*<$TL5j&sO#=oxPud4utWTmRexwx^L)A_`OS1jPHlkVIVlgn-g zS@H$tub7>qO>jj-+LrUk>86^X0)Mx@FpIT-lJ0qz^YPQeXHEb(9M-Z>S1-IR7vOGh z=2+I(EMEjAcXl^0KWbhU-tMP2j*fWBg}A(A4f&KBc#;~Pw$y0LU2%KQ%*}K^lxxJ< zDqiVO$5zf|xri*}ZulJCeKekG{=y~Xi8SQydjB4J-z}WZ?%Xgvvvd3G_8r?d$i?~t zP2|btP6b=6#&Bady7FOb3m3?GUR;QaN~hCoUwHP}sDyT*sU-_Ii|g#QXV0HiY*x>% zTEcGh*~8B2$T(TKc-fA*MI1UZyLrRdgiKKWB84uhFh=WE5{9={ zBCOJtayt>3;%O2$P@)S9UsjYmy$EPe(R3$OJ=7x z@5ED2$!1SDr~j26o5AelfwK%v;ucDD`P|V1UpBVW)$~0*k>fc;4ykG5YmzUaWOh6> z|Ma~kH^^2`-d(PvJmqFmwo!_+{;ZR29NRjzLAHC+?wUi|TmyDpU#C@mCT|Dj(L=yf zZP-3BJGOP}j$LspPI^Kw&LPxm#XhDc`BF-b>T_z#7qT;H_o6gcn|cHeCT%WX=-yf&_rblM%u?=dhPe(d)o64SmcW+(w>L`VLZ^Y-a-|3E(xKpL z)j96`JKJZdL)pKXNHMHM2-`gZ37e<4ZG~0SE=wWxwSu#}YUNp4GBW4kn#zTXIGT>H zLP{}DeND+RWb;JE8EdHx_j#^>bXFYfRe*hgqs8$SIuFfo4Q{m*@lqr~z9zj)>0E?o z6*~NFyzjeN>=bY(dLRU2__C)7)XrwDD3QG$tUb9Zsk!V}$BmX>q5)nYU`Fv^R3Qy? z3BBp6YJG2`(Cy4O_U>(Ct)Svz+mZ`g%um6^S3Y;cQ6&!c@cAw}6YQg6y<96y>Sq_d ztJx7*^nh&71th~z!DQ}aL>QWVL~|NzrMh=7dyz$Sbp0KDz16MG@0(R4U1}bzow;Bc zXIDKdi!o?Rgr@zwSgp-94&wbA?*DuZOYu_ozzkQBasQ5ZC>Xdj{ftd~gW|c)7FFT_ z1dkgB3Y8kqmuPyz$8yy~#3|i0X|5)@Mac{%VK^_qWhg{rr+@>|%0+Y$@uY9eCEd8G zc)Rde8-z9?&=%d>X|h*roSrOzq*|AbCwurjZ`B^LQPDn2li8(A4vaF}1?dXyc5$Ix z*cScY$FnK+d(wC0dh#qo1(Cg#mSJ!X5Du3R;t|a+g=)KTpj_TpDlW@G56tFVU}AQP zBfj#O8;WJ3U@vS|n@|?hk$Vj--&~ffJOCHx0^m5Q^Z-*6d|wJa9Sk?ZkuUFR$iBi9 zJVb2lE$wn6f!-!Ik?-ej+534&W^y6H%K(?k2gq8{?9BK01S81?fElJpJ8YsA5M|f0M(_U>f$Zi#wO2= zwDBW6q4_G^IO!AHMT)J7ek4V&hUoTEr&%gYZNrv}vLNnMXi9^xF~b>?s-)#n9*%7w z8XTdphj(mUvWfQ0y(^v6;sq4BeV zPM=TkAmytb$4s$=`I`7AQaqQCI^|lu+(9#A!s0hrE{L+0F`bJ%$-}TUSG6P@6-RQ} zC&0iwnP8Y;<)(U^Magra8iEuP`*wh@FOa8rfG*1g$mgoC{F|OAgZ5NHqtWIPL3eN4 zx^r?o8d-r`QeMEWz_K8I3(v02ya#O6nca(>Vf@mTr+H8Cz+6wz)+|&wYto#DQORMg z4-r5RxU~`}d)BA(S-H4hfgPK^6KlQ0*=bCfNZXH6N=i$q#D!@uH4dQD6o=*Vu z#$h(`r24{iQ8w~F42q?)<|DqqLy*tBHhzl2F8Y`oj299HCszb;FcH>VlO607mWl`E zMIL~By~a4XuG-JmM8BA#8Cb#-cd)!(*xs$x^pGX2pK(|hYSAz95)a5Es8*g`jjsZ+ zi-AH6)=LSCQwUt_;&Q=#?nQbB!i(@l7RjENM%d0#n z`Fd%@P>~E~Za7{|92~77&>fr@F0b)W3}2oy`^(r3tPt`x5U(W&=J5=4)4EMMv2FDd z;S#mwbsnnAb2U?5uh17~KwnRw+=?T$d1PhQnB$CbZQtU1Z}8CN3nQnQy5<`y#X!B0 zplFRWnjJOn3On>I#E}Wf-rZ%mL*C?}$`|2?xhkaiDlEe=y_uNKASM{`-BJ}1_WcEX zpVbS*wD(u%;a*`jLxi#|Z}E`r&efV}-VR(IVFvN7gs6M((*Bmy1GIrUh>&5Lf13v_ z-yjV8UOsb!@^(VujMYD0+3jaLSIIj(82Luwa9t4bHWcq9irWK)Kk07}EZ>`@u@`v* zHN7M6@-W>eSF8ElwdMSq14J6scM~e}SeLrBPBrov8P3G(d)d>GK8XkhVkiff3$qvi z`-`=1S>EH}ozI2W7om9lo5SQ9==Tydr$37guP@Fm*L3#L7wWvvgSR0cyin9R%h>?D zp8#|pTn%pwEzHigyK{Picey<~DQJ0)szOMnP4Ht8RvbcR{d!I);ZU72k+ zx`Ja#K6KpxXv9bxWdLIX@L>Yr{9hF31Q(Dn)a4>lq$$e>kum-e4@Ev7GG?hj;;VoF zL-SFhp<6L`)!M@P%W((*EL8fkTm)##$2=GpqvXnV8F?v!AX5|laf)6IhJG);v|C2d z3!4pQ>x~0NRK_Pf6#3!|KHK1k@nspfPZHc|0C%9hP?hpt^LX5lHZ3%}w}zf0pYrhK zTQ!O~GfgPIaEpi`F$V3^gmwX-nQ?WS(C>_}wIRtz7TY8KvMLonlYDzj2< zl}qv&5AI&@TDeh8npUG-9HMA@gwOI3sN>UfC+Fp*>On*SqInq$mOwn;7VHG~Am_8Q z(%cnx`o<7(2J`cTN#BX{=yvP|K+40uf}1|&3m&9=%S4$O*<)#9zeus1ht1K#>ax0S z^@hNM;|V5T@`UFz2aKQAgk8&ekSXy zl*LIYyA+8z6K?AALHU{|Hs7o;cs0@(oBXd+{%XoE))2(NY6lY4-4_PXu#vA*!Gc(O zt$f2nlFw6(*=p6tR|A9?s&5h%J3=-TjBznnLlBqF>bE>N`3$nb;ouZ+L-B2*;1qEc z!=30Za5T6kRB+1gJ0603i&4r;D5`ek**rasTskN;SXGSABigB|3yPxM zL`b15-}CU~GvbZELb8h$g&EB66Xt5boM#SCe6GlTtX|dI*xrnd_vl4X(eeWiUA}o; z*}AT?f&fGGLn1mKi2Pa5zeel<(T9SIf4bQagF}Ag;amc%mFEbbxkC1D`qyCu_8>pz zgK!L_7S%a1l*)5mI7a(%p4Lx1tog>kfCc+3Z$t4@qUhI8NQvq+<{BOOnFry2)lbIQ zWP-d<$Q*RcrIwUwdjbC7gG>RShg@+>F3Sq=j+iDnl!}3dFVGiL^>AV8} zT$nuA5}InXq3|7-NWZ&A8dQT!n3J(R-;B+@|smLQqu7_CIj&Q@#fN_B4s{><+@R2zoY3M@_J>*I99v*8sNvF!+nQ;MaZ zvkCt_h3mpVcP?^43zIlVp^j7m96tO9Pkz3^0hi2psrb}&!rKu1kqFF8n(8b=-_7e9 zA5zlgPoDhiU?zDiP3)iT!RfZ*eZ~dsV&Fe1HycP)_=_hv-;gw3`qXxjVQk|6O7UC@ ztk+!z(e~{~A-*9nSoR48^4U~f?VO(=}4xiw3kt%BCUv7zoi z;tn0b0R4{#CZF?`<*AUew>&Wh>c0fV@Pof_gK#^$n;eF{C+SS=e3@^?O@Y{jtqDb} z4Z`&xLFW?ef5OXZFk0<2cnt!jy7ZiwMvDrowHi)7uvLoj?}RoHR$ zc$&=PDU;hb^mld#Il+^b&lbwM$uT#Rb3@8G3vxo`RFn4v$2m&178eJ#dq^aG`u$^UZ#@mtrhknbb$oMdTAE1*^Zp( zVagXq03YoOef&(~O(^kpkl4lEFdoH#?3^}ES85|ZUw|6iaFD4bWt?GKtBogirC$HOAl1O$-#IkFuMo}FgUj&9FFGL z{1sTD&}_H%01QuDSXr|uH1i(cf?pR*}b9i4CN_A$zBo#*qGeW zES50X4tBVWVF5iCQRmejx_mhdfuLQOzo8i+no*z$8({FJFpZRED_VK8i0a9y9qwB;Cv$|J1O>YHMzH^TpHH> z37mVY*gY?!p7ebF;LyxaWo!V>Bmi$iNpX&z=p8)C`CQ-u@hN3#GVe&4Cr9n>ye*z7 z?2b6X8$;oSYtrzYJOug7FKQAp)vj(AjEVM3FhFNnCCpd4^?mTQ_^B3A!GmzOT)ow? zQ2;(i6L~g8G8`4p5eT+oia5s;IJ~#5JVhv16S{^%X?05(`CAL+gF9RfGG-@P>j}=6 zCJ#pXnEeb*<~qt`peMUVQeDEar;UAbt|vBM+FC%{MjN&wz9#)VN~fv64I2yf0A4Ai zzUtMVUX@hNNdrsW&%{) z611P&i}O41+Bbv?c2(eBwh?wN%S9f_D%j+=KTMFKJ#^{z0C(d9FhmSzF_Ym+->4|a zTf+OEYO_nl1-ZM2H{ar&@l~95VTOC35QB9O!eUBe+zwHS3>Or2ufoM1ntY*IW0!4X zkGFvsBM8ol?N$wP*A>RGB^PUEd&@X`8Yij9dJn_KTrFta6oXxOtPR3AAuvuFmrLd+ z?zWr5`h`q*F!IGpjAIr?KYN3+flz4ITODqTs*NjN8$AfaT?#V_jZ?5Sz}7@>qUcj0 z8vSPQz8a?iH+x9(d8L@^4`o}8iZXOth^_#1v8oID`7}jSYP2o)^pFl;a*3HAf*$on z8sbZcm>nC-6dEYOdaw(aV9y9U_ErztMwDGyH5oT;PP_0}8-#6y!1)+TC$()2+xWY6 zB>!#q0OYebjh6zj3%7ACVr=4fP`s|XxVR%T0t&@>>}E$`W6~2o-1xE1>|&2@0*=0? zxtiolDVYwJB`vvqHj$T7*fq6j%aq$~!`8!FLS&~0XIHMqF!ov(cCnHy135*IR6Efb z578@RHkCUY`CgE5-BLO2;o6c5SKtJR5O+f|LnI7h)EbBq&s8yo$~f!3BA0p6uS-bM z<7qN?Q6}^HZMvH9mTVd#yFKyw9^M#gqu511cLQ=S0^!0nGt|nkDG=O3YOD*%wQcG6 z^6Lb}u~Z<#xEqvv6ACR@=e0*0JL4@6#Woj&m{W6whh`cyE31wyS4EY*WrkiX$bju3 zFzPaY;|M~F8brU32PmH^8L}fKVr&3r3E*@9@Qtuc{_}yN@OU@5(nE7-L8qZcUr3&T zED|JLu52>Y9Ae5c=Rvv{#a3>y!C6pbYI5h(mBVv-qWl9cmPKFN>zAjC3)`{PUrHX5 zsa!}{?_{mL#x91*F>qyqW7o<0gq=or-W}ty*TXY>3CJdb!Cqm^*$^xcfu0;6 z+(V6UcD+Q?NGhKEd|j8@rpZg|!!9z6O?;K&Y5XtYd2xzIqsCY%nkIIoXcg#zi;EtV zoGz8}RUj*hFi`slipHKLl8xh)kY$`Ol8Wg~!{KdoJ5uvd<#U&fvEs6e!BPy^5`l5m zGCueS`L#SQk&7cZq7e&8bq`NYr^Fr5?n^i{$up~wI>lpGT>2a$ z%ux1-lIka#U(yGIRjMVNge&*=VC5V28GZ^abH|+v<|G)F2N28cfW>Sc{O?<7!#uLF z%r~8v<$)fsD?qyP05j%!m)a76hVyFTC(1REn2Y!}hFHJFb~@WUyXs!tCgKX$Y4a1{}L5;pB zewT!}k$wahGY+K7V>~eVBEI3MUK~gFgcz*H5*8i(QgyylV3=1oe75Cr9*FDW=zBa( z=Hn@o*+qc^Oa`qeI~R0TRjeSv5IvoUsAZS%7N~;-_t~v8Kq$}f zK;-M-j)h|A=V@Y}NwF)h@M&1OjnrObdQgi$%R}^kzryE9G`!CyUe4F1L$*aaN|$_| z@V`5UJ2@z4MBg?Q`GBo z3N^SdCR}bq;+YA0!f)n_yu`z{F&DO&hk}Z)GG7eAONoGLF?)WbOR;&GCq7^Ajyb9L z_)5>E%w*WSoU$1=2&Y}m&eo}$U*Uns7f{KvR3zD3mfYo}SarOTkT~G%wArmVuEPbO z@PZ?}e*9G)nvJwRmuLlcItV4T zBI9uah@bn~dXei%Jl=-p&s`dF=w}iI?AjMMN;I=Ft*!~u8wKe1!m z2EK@B3Y$rbOS)3TOZk8YW_S&m9`d;>DF5aFkp}gHgvy?WGbvG0J3_VN)ASH5s+#MHH= zF7XZ$V0b=CJe<~T2DCX9@9NM*vX6N{Hlpmxy~?;L61(tN8-$M&0t3vx<%nz)9()iT z$NdQpNWPZxc`6|PW=4>~`lP{%Hy&X-k9&0q;xx|YK^XT_9;|#`Y0T4gAluLsl3;i~ zZFmOkTyHdsh;qnhJUscfBIMW^@Aw;<&l1gQG@6ahXf~z>7{ku;>KuG$zJWzP=KB*Q>`-l|9&Sd*l-@w~E)SnktV51uSCPQTzG%DFsBPRcXsLxV&Zpf3_o zC^?0Pa7ITNe91%ee~_G#a5o@dCJ?$)*+?tQ##R?Oqw*CGL_TlXm}!OBg^S@DX9Mt6 z0-&CO)v&(1mwW$9DRX3ve9c3UFMOS{MM7Ln`qwF)W@~1GbGy&v8=mBR%V)+(pWQBW z-gInD^fxJ*p28Ax=L+tFsX^cJq+W<3E9+IIcl|HJ&ZK>t(%9i>(bFPzyHbk!szM}9 za((AJp5%OOopBMuoDIZx34*n4(HsVbU^j8;UB2f@&sW>V$vt{1E)=mf(chm=CfjJ=MB^5}rY{LaIf zZ;}nXPbI|Nko=xV*yp1q`Dl9)Y#;`t|KLH$r}!dPT0tSUCi{<+&9x-XA#kT~8p-q| zYCum4bNkZ%B zz+VY~3#MtPD9X)&h_3OhOpOne0hW3Ixpk``Q{MJKkR>X;;btLcLO-CK<7y6fnBj4;`oV7CSVu%=n z_HROCSS;J6=k_g>U^vQuJTSwfs1`gJJX9jSCjGyZ9?EFS>~NC9j?SJ>lg|aW?iuW> z836|8dXS?EEVw-BZpz^vn0yLs#l=roz>pk4B%F!jm0&1)q%Asc4l54V_fQNEt|#Gb zEU*NR_{y?37)KI@1_aE|OC8MslIUoLqdYMA+9zyDh6EU#qX~yLwPl}1+t%soMtkk$ z7!OOn<}rraSL~vny8$_tKseJS*5DMDZkm+_w$j@B1Xp=T^3_VhQL!YKeF6;3aRhT` zfMH0P^Fg!`#xA4BFf+@Ae`oQs@HiXe1|HHnm{Gfi-!^Wed=BEYRO&4^Ci74s*s~nZ zXJHCLl0=()(-X6ig~k^qp5Q^wH)SNev~rWn%9^q@?EY~?|hup8KevvLgDtq6?^*`{`vaB51tJ&2k3IAup}?SaY{vow|p$u2_t z4a{u_hO4LZe3#Qfq?YQt3y}Jb6$>23Ju4@9K=PT$S!-+%b3<`kqF~;LABE1m(!dfi z+Ldkxud1!f$sV*)u7>kvxVrM91VaTI>{AFkGoY((y<%2Yd(i&Z0d0&;^aw?>-K>$5 zw=L9)b9|l2sUCt&`6?$eFESm-=WQTPBM4dnE?L5zu~XRW&M86p4fjA|hKI1jnqmyunMB4wA!6lMmFw_2U_mjVR_@^8xHwlmWp#kh z)TG{#Qn~tP5fHw@%UTNu3L@8OE3*vmx-+WqW~; z@ggaBnDV*qZYP-=VFNfDgtG~OBaA1cxObfJK$K~H+X+2pyod7~4@AzHB4+4-#FsvQ zgR+KDG;IT6^!VKcRczb9640`&^-x@#t9ddJ^ggC0dL2dI9t;sr7<_yJTo1gV0dEkm z%efwyd*=d!S?W;EP)Ot%&hvzldc&K{V2hP(02jH7`<4Axx;ONWx%9vJPIpDK5@z|26- zfn4aJ$yYUlH{&O)4Z~fDVKu5Ivr7u`KurB^JzdXm?AGNX4@t^#8;_c&gu+J#$zh!~sr4HQq+-$b|RAV*9;bw9u?vTJH(tlDq% zFysrdU@=U!lVTXm-GFQg*2650FD>AFQQ7Qa_+RV67@PPl6wjRp?#(*|obO(<_w3%& zlYKFYt=#YtBYpgSrY83i%4K*ue${KS-oTLzvegrsueW9QSMiOsj-83yMsZB$^xc!# z6G`Wy>jIQ)_mJdUqVol4J@_{VOEthdtbXEXh8)D3reD-0n*2V#(;LS$wqS)yn$Y&7^d@rZZ-=Itp3LW|B>cK*%dT_jfRD^noU-`a2 zob`f0q)dBYHi2N}J_;T#qjVT=12RJ(g+SkF!XCn2o$Si=ByUpn$Ymb1axQ2-zhM6v zF4=(ZBJkA&-r(!3nWYS)dYfKsbQjRgJVkT22Q_D=TbixInZ6ScWXSGCWX#uKZq9P2 z+}^T-R-Ai>$9oSSZTZ2#dP!{ zxY9#21Im>LTBtEt(O)kDa9slXOp{vJff$i;6>|dAh9ii)&FXeFyGUov; zWRR2$NGihZ?%LLQr8)dwb6En(Q zPu_47W91pe7@Oz?il(J!=BR}q+&j)Hha}#*ukq3bu!{_16JMoxT?lt+3OFjJfP>sR zvgirUr)LHn9ZZfUaUUfzRMy`yG6#)MOix6JrRHIo&DG|{e|TpcAk)w;5v{IGV=SY3 z3sccSsqQojH~~BoTk0Ode5-ua59F!MWEVjJ2B$$dtMT|Q6^6tv&E}qXaUeaSS@%O* znjWG{bJbbGRxu@)VJQZyWwn$nOeEi$jVAIM@NOm%57YKsm=aEkDY;C(#Ucz)n}8VD zOP+vJLh=-X_qSnc?|6uI z<@v>+4rUF+d=je!o1~9YQZ}C3bU|^H#A$0()~O%mxDCN{H@H}sTJ~k z;tXYvD497Fio`D9D1|oOy3#?^oc7rLJ%~B2)i?&Lt(HTOfqMYKF$*H~LafwRH)}u8 z1C?)A2BEl}+)hQN*rvX!1VeK*(S#D-O4a=^^yNVwkbF_|p+n4ZHUJMM0Gbl!x+8Qp zt9vTtA)f4ua&?|Q=RIaf?P8c51NV4>;@%5EwcLxuMPEWgeI-QLTe@g7wlq_S$ZJcLxYHv@a*xVJ?E(Ul_Xxukf(`U%Lod zafb4hMCt4q*il@uLx*45=^}lxf_s&REuU=_y#P~dFZv#2Z&+SUEYx*o0_&NHQNrVE zJP7#|PM;B+VrgPuOR@B90S=qW5Hyd!#L@HDdD8P$KwBAF3^C>!e=+ukn#P=Vu+TM!7vJMmf6xnW@c`U4S8ZixuQWds_*M!$8@%Y<3_3~-YvN+Zutyq8 z-sa)S=UC-FOe`SMAitfEIpL*!jS^#(1vD3rE_{cFEnj1$*+mKlh!}fj}zLV7{9$>6D}b38}AcMnW(ZOF0Nay~hKZ zFaMAAwQ~3(E6VV_m-y%?N4u!f2NusYIQ_1jiEs7U2mD}j&b!^jg2NpXC zhUNXlatg3y@_j99oZ*Nl?e_y7qI~gP8ZWZDZroefaL20SzA8E&t!d`vKYQ_=MA{e@=~+2EMM>>=CkrJTVcM^2kv8O zLcd6%G<5y_dC^;TariL?-IqN1`6fGKsR-=C_Wz~%8<;N>OsF$pvB7pY@5QnI@NFXCgdh9$h54lt&0Wpw z!kLcp9S_6suw2Y%P<$ZE-Ee%DI94eRAa_UXf6o(qA%0%j{SN4l%;EXprzFndep)%V zH)!t84?MY>a>+GzTI+UUDeK1D9`}a?kya-=@CuKzOyE^^d_7G8O^+9r{m29IKd6%s ze*^Pl17lWD`W5xu&!fBZesZ0_7)z}cy9n_&Fh3<2Muy_}Y!xeAm|lP8$sZoATsc7N z*qYd%Q!Gbfz3wtnwr@vD3Y@(IWKvi!mmpU#RJ9t<-#s} z%<4OQ@NOx*Y+jAJUwI(%sRQMw2nKRC48JA@rUhA3aU&(G!M!W#H=g|ASxK>J5!zsv zVQk`mOYvML@W+oCl5^70%^EXfQCZJn+rii)e zQ^!~QlJGVRe>V)Ba;;wOpl=tZ^;?0MVQKxt!;r7)6K)D3xy&#(5dS0yW@Nzj8oDbC z=laUOJV3j0RSF!=L);MtS%&Z5#7CDs$&rd)L#Af~P>U@HPO6aqc-Zo7H%ho_WhIwE zAqMKd1jVpg{;;T=cY$m=|Qc4aAWIk+Bl63fO^_aFi$ef3*@E zTN8UU#d3bK%p8nEogCb{0PUo<9OFUAH$NFi*A`wnU5dRyIhIhk&Y3*}59hz|WW7}$ zhT*XYo2Un#tmn9z=;J6_XCZ%Qqg$Gg8+g+5nJIzfxn$3z<7^0yCjzEhWe<+3Vgt8y zYB-?91CY;78GLe-F*f-(q9u9i42PL1$V(i><3l8Q`Om^27VrWhw8ZHyrJjj!^Ch=lRIzZbN^ax!9`Xh&E zwTCQU?wYYyKz1=qj)5B?xH|zHm)g>qnK~KPJJG6Sp}nt)7n7DY)cGnR`G35fb$}el zwe=ll<`+`pfbAq>3OFoTU@MknMJwB}<76{CI}6tA%(`Y);4m{YGcz+Yy}U3pGc$eX z-0IVCyJw~(C*L2Irq|kgepB6Db?erxTi17x9T=GIqI(I0^*@}XE9k=s&G^!A6k1un z*$o`hp~RO8b5gn?mAF2G^WxS<%e~gt6>jI-o>dvbP%^?+=5Qk?p0;&EHmx0W(I_CC z8x!Zq(%nMqan6Pm$gO<<&J5PDD2F?1+=Tl$PEy3TAn`FEp7a`Q z>Mpbqp2`M<&3H+WSAI*!oYuP}zY|TGg1!}@*)>l}CmV(n9AR46JvCh|pGe=DG#uoM zI7aa)9%3C!_SvNRHV!In3vXf2?saileDX?atlJW=917lkGAs9^dSVZQN4TBiNtKVPs}`YSd}O{m zx3<{B&aqxt?|{;}*21bG6_;5Uuqq;`4TP#C@>>GNi4NoZB=VPwOm3v)@n{ECgd4&O z>G9+_)L0L#GiFZO>Po&cbc4Pdk4)I)pyps_ddDv%YZ+Y}gsfU?Gtq786T=pp5UXM@ zj#0APKYh8oFKlsqX=^+Uaf_O1F`PsO&U=czoWMV6TdvG?yT0XvQa}a4S zQ)bxOV7iF7wv&tL!{~0~QKO^tSi!6{4;woi$i}4B$SoO4epT3&_Nmln!Jl>r?E|g& z=g1-hVW*S6W0G_C37MJT2CPS1+jY@Yd7ravW*CtSlReE+)tbZH8z} zaiM=vEg(^BosZu3ZU>gO&LO*#rz=iNbf=Myao}P>m3A2V8@5+g_btyOhwOC6l@RGM9ThNmissY@o_pK3Nq7_6;^1qYEB zy3R6QjH7Nrd5Rq0FbO--%}%T=1OeVX#~ZGG!LPCd=Pm%->n`1P&2 zj9THoB)T!5nsa-|oj)EK$9d{H=fPOTG&gNFGaT;c@Fqw4^`^^ud~njFgm`}={|*CuIe(JdiAWj`K-m{$Uxb`q`=0;X#MQlbbS@{3`!Y zQV`FB$+HeTje|39;NIoo@*G~Rhd89PNQTTBkuE9@KuJST4Ma86Hc!a|_6Tdut6fMlh#z|BY z<|Bz&PGQoz_-J5b81nOa;Zcrk^2ni=O)Ks3G0GP78_Wyk(L|wZlRf_NrE0D0W#xv) zIE1u&m02=^2CGtjER`8Jt;|U{%?^)qx@q2Q;~a@hIK;H^p={aOul$2ra3e|y@2SLNcasHxvt+fCP|wXGo8f5=DJ_|&A)M?j zi{R-b;A0FI)+Uh4!|WXl&v4pluTM36TeB+NXHu6@o$@yAxGUQV!p(geT9^#`^#HMx1C?vM;3UP4Klh zp0u?T+sdxoA`l9d?>u#8cX*LQx(9xLdPjo8i|ikjDj6PxsDNKgU=BBO56Z{Ey~Kf~ zEq8d=pkz_1FQqD%JLIIbHfG*h>p-_1=GzB``aj`i4kFD3*RRLavixeSjL2S2GQK?M z;<*sB8+&N6xdpjEYjZ=)i*V3+c!eW6Iq8072II3k*0?xcNe&K;O-X||))#(gJG{z) zq^{DG-)UPEqJ7ia!syNc_b&f7A%r0}*db-F8U*)z1@p?iq%pMPW!m2)Z zQ^s_GVR(ZBNE?u9=SEenO8SkIUI*!TWLlP8gSt+Z;bUnFaUXSflfy_$qo|s-)~Nod zt|YWK6OCR%HQr86&(w-dxx;LB%#u})xi$HF@tN7`UrdrG!gj!LU!SqSeW!u8M= z0o8nBmK=`N;b*QfWSMetUGZIxWjB6n`dC%AYpqiLL8Fk+-mTWzKOZoqLQNFZ1`fzE z#G<&>$_(#uL}`yoX3k*7nHIx)$-s9wb3gXP+6bAC{XVBZ*`d(1u)&k5n3eYXsm<|u zX{Ft1oxFX+MwauOUtUC5HhjQIr$xHWl6~<8o6`NDbc=-zOq}oxu#C!w4oSCZaU-`W z-49cjJ%fT&8&MGlp6fz))LFs_$>AeTJMDJMntg3uIMYJ-C=u2Hfve&3gO$8a5@7Rl z8g{Te?#CQUS{O%W0Azn=bT%AV2aqGnte zpCks|5_lhc{#(1Vb2vc3WkCKce9D2O^_#M2Ai8KUFO*Lcg%jbKG3CO!R25it3vbH* zI;1m_+9qxd%CfkOD?v+qpCKQo0)F;f+3&-G7F|?u!*IhYZvW>v6LVKfJBkeRAS8wR zS>jeEOv~^LF=6_gLz>*bO`kADvy%NhWp9|>4R-LHHMy{NDH!wx2a`7Z@GYQiYa3lm z6cXMSiFZlh;TdXSLNJeNR$p=qw@G`JM)UF9PJ<}SN$JZ};vlm$7!C0s7i8=W8;+28 z_7$g@mTDza@q0JemH1aFUhZ9R2W$%`CIa!)g77s*aB|YOR)=B)x~Lf!#@C6#^^f9A zubB?si(YsB42!M| zyf9}_#bxoSsw1?Y6ODB}R_1Tf;(wXz{R@Y2Yy6Yx&K3~*0A(jj9LZbUC>G*V32T4R6k#&d~ z2Y+)sX*X&7=qtn0|2y^BQ%xRrR=WWDhhs^Ls+A2}^OS#3AK<7YxPKDP=FX$AhIeKr z{$;TeY?B*=e>tMbqe>pCh-M51Zbg%25&WA3993`{BKDDBemHXgHLY;W=rERG<VY8w@FGWyJQEj#uPpZ7MgE^EbYGF=F zm!T5(X^o45@K-QhysT4CTd_+IwnQ0GU5-?IR;@%Q3Tfi+-T-sv%R7v;MxYhD3(lP6 zu0T0DD77<3Fb~@kuINN3M@#Z9)=ow-*+#PxzY@inCRwSzkBLjTveQk=(5Yj_TX~3UIoPzI3B1sQDS?-XiSXJaq;so^lRFQn3al-QtsV&1aaboO zwV~`;+v%caTo~6S20f&(&^h6_W!8*gjAapAj|6mJmA|hS-98Lhn*tBUlPg1u1SlMwujGYgWGLIUsH*iF!C*7Ca zI?i1NRPj3)VkFh7HwzpvUc_C|yoIm&htr5A|p=jywUR~7J$32YIi ztf;G+zEm3E2nV<|4X~+7Y~8v*jwA?!$fY!TIFeX7?ckQVfjDMQdjOvi|JC4M}`>19-h`(^lXd&13~_W2#|&8n1dL1m7duG>cABV7;y z_0AIRN*o-9;g$|1&9R*@IyB0N?N(&tqml19$UoqIF0jyVIKdI6y-v9uyEFM!{z2wN za%+-s(P3gNg7cto8wZp&i!R$Wrt%MJK@SQE?Y2Z?5M8IO%;Ep;nO(xFYPg+aNlRa> zowrh0l<4g#YInxv^V?!PVq;j1zk?Is3dZR!p_a(vjTviQAa^7P-&*ZB+LrAkw@Ufz z9YWe$D^rG`i?UsbZ=kq!UBg~$W@cNQ6(VE8wkIJE5S{;t4k68-@>Mk(EDK^IAr40i z*ideB*6n%m?_oSlcowztm+9SYax`fVXJOfzq_`X_B)H9l<9jo1H|3_~PPS)ri$hBb z@8oukEWdJlHggqmokT89hT^nHw z`9@Yhfe#UPZw~Bd;Z6=Kt*vC(pmZ@_MPR28j5C)!{#b-G7kh&_Yz*4wc(&qSPk+^O zdj^zWdF$fXP7Xdx%{i9z7FOE_tj_Tc$CKu}iDM$WbnYgVIDR>_Wrojw|h+ zjVZ4qtCBv0((54Ii3u^=mgfRe7`CBAH{NvqmHi~}MD%iPmb4-UnOSR>X%b>OlT3V$ zvYAFcyI8YX3^q){CpydFY{kEy{+>^oyOgYpq4LU0QYsp-V=&s#TN$W6!QCBgTK|+AufLCDr9?POLc00# zXY!y&bS)HJi(Ag`;rPx@YR#HyjYw zbx6f^sz^Q)_Zu++lYO-ONMy_hl==%{-l3hD)ObV7;Y`W2tf+~xOU5Iir06OB<}3mI zNx7acMy{P}bG_xx*7>mDIA@bMWj`}+w^%=$swvt<(lV!{Cvy{09LKjesmWqdLN?B7r*ebO z2a3Me9)2&b{V@3$$;kF6k7w&SRDSpAU3Ii#H`N)G;0gulrdG$`vTKC5Y(Iy*(02@J zImcDQ#!~%Jla}xX#A6K3_u@z<+xI&pAQ`o$(M7X@fbLHqOJ}O*`fyKicz`2GyGQv<+feeWV%|;LVt61K zI8DkX60;jOVdHIUxj#FPN@EXl0BH*<4fB(VS!q9*+MHCQj>c|egKj;QP8XI_x_iPy zoO0UuRw~Hh3`+B%)GR*)O=-J3X2Qdqe%e#1`(AknniT}}a5aMVr&~5q&%$|+a1d#Y z;J2q22BrB(YVyI$k~b>{E_K^0;ZaUFEvng&3hFJ3;L#*t2UUIS=vK_4aOnd4?8i8U zw17D55=k3^*z_+7`v*NpV%Qg{D%P ztYve!Cpd((n;~Pypo^+y0X&faT%9T{s@j@nd$>0|$*HGBO2(|I%Bqx~Ol9@}HY6Re z+?&y0?!X9(xleJzX?;(1vQRfG<)=znJ{yC6wh%H5PjkwLxU5oGl<3nb$`B{}3Fh9+ zY`Dv2)x>2P;rt>z!!e{yfMqxDezTw_2P_bn3&jJ9Fx4ndJ=O6w&vI00@p73p zDqW1z5Y)2?h5u}08e&t+tKm6L{nq%u)8{+s%%;MFP463k1V%;A;%idOn8aYPrD(qW%9b%-42Ce$-k8H z92~2VD2Eppdcw;bK-$2RTWe^5+_o5AP6h^0@|{!t?ji#HuW-_nJLBoQrp&5DUrA98 z1KHO7u2mk&QeIzmP|A7QC$cLVkEE|=xW2mfb#V?lzV2%dN_6_yHLLo%ucau;e`ERVv6 z97SUCUslyOa@0%wM&rWxFfka_=G~lB@dPvfk2s#RL&~Dq$hMgsQaHzm1oP1hJL2fbL zmTFk5Y+o#&)c3#hT6eA6ihp9kw--L;0MaI5v2c;8dyA6%G$rZgFu!nl)Y{E7L-et$ zhyjNGb*gD2US`Q;8>~wCGgP+OF1FmZP}X48j?HB5a`-jby~n;t1fs5iOF6LMRd`+Jwe zz-k|y-VP_Np*ki#uka0rlNJFn)A2=25E0ooNyflT!zlwX3TGKjToU`%Az{g`k?Epz zltEQQSl=erF~G`Kgc=u_GEWa#pg~8ye#cSX14hP=9=Z90Sa7O~iu${xzA*&jq8^8} zxTLppfXsvg9DmzbU%>u~wa}kM0{r(JZ0dfk!Jg$Vty`leiV5=jguDVE<=f);xnKux zh95Ybw5WT{rOgdW@`seX1th&kZW&1ahdT$@RgTIGy#upWHX!`SVf7~7((Lve?ajv5 z)NKGt0?^m^F~3HA85&cRy74%y1%3@{rEn*#7-;z$qJ$zuR3kiJQ#*w zIsG(0KAJN5@wSEWYhrK~RxIVZT2hE^46T$^QM~Fmj_d5Cb{V^}J5^Ayza=c+?P^FD zLtXftLrN>JGCrCMn^OHfRXK^@y}Ta>%T|CPIXX0`a zq#fzlOgFL}?tgJ$X`8-lJKSYYf`6qTrvTa7+(s_ZwXy`3zd6mcDL`h)zI}sLDgT|y z>^!;m6n+l>Tw}dwRN=-^N&j%#lN~_y@zIt^H=33BKPk>lgF2Cu6#{p4;Wi*hn=cLW zkYy~tA^>~*F}Di;aztn1*T*{&B9eeH>0-K?K>vNvpvQ*8E?G^b{%?XFE6@u-)JBCY zWNs1jmBBn_65)alXnj)4HI&UQ8I|sZsC(4G+{xp^g&og-vw@Bm=tT}1^tf=*|Bs-@ z3G`wFZJWRJJBA z{L2uZz5%xHq4rz5RBZaP4lm8`Hyf-0P%|jW%Te;?kW>~%oa~_h8beR>y9Ohawd^l$ z!M+rA!t;Y&C<@9+dAPizN^|>bQr2p$PVjaE(YEU4tnKSqN6UHyAf7RL3 zUhIY|I^sLym!=OHxv}Wy6qos@ii)tVL@dS>DoZTcRvY+RT5#FXUO`UDl^t5z3QBI; z8Zp13=`lj0y9(*Jj%#TLi13bLp@OSAjLDWM44XAPm>m;_io5_7~iZy*zbn5dOz;q=lR^Glnt7vIwq8 zf+Ino4g-H@TN{c)zVVoB+Px`z_rkRt(|>Z`#28J{UYoRB64i^U{s24u`pY9k2(RPd z(x!ScSLp=2Z9!a@5Z47n=EiRAPXsm?dv!bI4lgbJ>4nHC);cO-LJC)~(Eq^0HOChf_|uNnkIb7Ru* zm5--$WJhw~alstg3J)LQK+=Ni+@B(tCqd zDc^+3>}&GZP1S%n^U>>uRiABx#h4cxZt8g2`0eRKWzBx&y^hZ)yo+(F;=LJp8A{8) z6N-VZb-GyHM^m*NTG~{!v8hUCrF}HD+0!Zf8h0k}1hXs&^BAX}_SV#*u->i!jwQhL z0l<3yX1y#-|%GRoHi8kZW{{XRBoVyoOO9m?chHaB_@3k;GH;jKu>ey+%>uzCwz zEXtQ1!wHTnExgv0SW!1Fl3SDHW*|{y13u7xoHNZMYc?P>t5=8a0)czQwm6QoL8&QMp=?&_CsCaPB4%r)BG9phK{)x4 zv@=uo?VHR>dn>hh4{A^C+8np)j>4UsewynqbIor=W?K-a5aJpQ5Zt{zJH!bEVVk2! z>t82Q@uoft;}!@3hZ!m3PMDO6~EAZnnXRpGAea9nAglozm8@;@A}D&SKI%*VFh zk9Ayj?AW~%Yjyh;!(eT77UV4l<+v2H!0sNo(?J}vow{2t80v>4iCVBDe@ZO!S; za+K#Bz~t|*rN5@Zwq#Y>9cpv_RjZyh#6!oEFL50GVmt+S-hs>{-S5J%-S*AqG=*loH7-NLIdvuZikG zJr-!}9~#J{BFTkyfeZ*jH_nJl{!>heM%BTv>Ns|$H%Q4|(JZAO<|4v5mpEL#R9DxY zUml#eHX053C(%E$=}mAziFc@;L$#~Hx=4mON%`2*R1h>hfwA>wr3g-422bdmTYq#~V%AEorhU>3x(|;H$iTyO}v33SHn)#e(gA z2Xbc8Q^MY(Y}k`Mu>j6%FSCV{g*uHgsHC9Gs41?5o zxNUfh<4cQ9jbF(x*%rlPNx|tS^0mvQf*$9jPe^K-Qqp(Hn6w^GEq3Uo#oy9L`dkR6 zh7krN^ds;vpWq8s8)HBmm1lnncn7M?k+K>}=ek^@?w)GA|Eoin4-eKK{~ zmsB3~{Y JmrvNWvBl3(5PgeN?CIx-TsB>a>f+er#XPMuH1Xd2I7BMk`dC=iNwLQ zvYU)g#T?Fa4$p8fX*Z#HCz*^&`k9pG&95Fj!3CZ0ET^01LCTPQd0oWgENE52&!#YY zgDjO}26^9k)ucGNevZ>m>kS%GL+Z9g@mx|I4vLyn6kWoKyY)QBb65P{^gg|2*&3$y z)4HA*pHD`>(+Mwe1ZmN58LQlbs$~JZlmPUvlw82U)mr^!PWrY< ztzJtikUa^$T;I4n^XJaW?98iIIN7vsEMxYKb-|cIVOapLBmnz@^XO7w=Lt^NL@`uz ztzYHD({c^XkSW(qO7+!LWuVME{P63}?YH~kHBNf+v!)25teLtlG?&Os3*ogyV9pKa zm*aQ3aHg1TQVFkfPzy=VKw&Iq zq%7adVh>kVEHhRGf0I*B>$Jyi*DBiaC=@0jP9n2Fi9axp&uEA3O6|8UWeOIHA?5(TBG=vb1QlOvi_M z(6N2WlXL|4cEZ_o9Sh(rF3@6bKB0Q32p!(xXwteCnlM`tM^|Ob(tjuQIhbT?_Xx|+ zW4a2T6em@_%c-aN8JQ*1Zm=rlcT<@`G8E8-`+=dOwc9@N(BSYMC!O}i3sa_ETo#rk z|6aJY@V3-cy7eA9h8=kov(o+ywRzvo>qL*WXLW#04meAgCk$>! ziI+o?uR5P~vy%U;zPjep7JS;jIKrNjZup$j-U!a=eS=I{U#W|-U5S65;&d(Q_nx_H z;R{ZFa)ePWKl#qnu=KyEFF(Jwf(Bb@>2JPr;Y&_E?aRxAeR*BzZ`zgkmnm*NkPAz| zXYI$eS)8ekl15)~9H%GU1RsSk9{)opCA6;+?Fh)wePx#Orc<|XU0IFWwJpM!)jo$O z5)XR*nqxd8iBaZ_O&8O&1o?GB9t9n2n_a-YZ_RY^+9Ju=@_*ofEx_fN?G5_OuSH!% zIv(F}m}%iQ3B+5PtR~QJ64a*iv3H3DGVRuW%kiZ3s|{UCVN0doJb* z-*JlTC*G*(a|IfeWo}#;-zNrL z-*y+ZTI%<9<*ZUHT=LKq;)E?WeB>c7?%7GDbMx%TG*WKDC$<7cOd-8F{Gs_ z7Y2=@xXi-xxqYGhm?(UY^#uD@1i#T^h@-P-7KyUUgYXjvmi8XY{KOZ;YYFnFgyaCI z4uIPyu*Nfk^#OhiKXXiJqKkSWVJ0H1-x7;!v*WkG&tad*JWkCEzjIt^Pjc0;(N%v`-fk}~;r*U?w$jvT zZQU4Cu&}Tg{@_p&SDHF8eQCL3Oj>`W7SkR0XftgBfAjsvxaUsxIuT{@F-_$841aPU zX{&)!$jn=#=w}J4BK|Xpty^AR=(H@~kI?{3`D~u`7sr+s6KF~sELoNIU#Wc~zD%ej zyf#|Kpupv~S~`J%r>P-QX>323Hin~KW@lZN91MH zUBM9kkAs4fS6sC_;mIyZ3GSbS<9p}*$2(!F!X@~)#B~m?!oM6{nv3NP8=wDST}^=h zCg3^%);Ax+2jL)s`IP;A*rlp@&uO^=4NFX=-N#i4FdUZPF%Oq?AZbsBR$h%m7jYSuRwaBX3e!D}9YPF*v`&sg2MPxg;L;8t z?Io!gG>XbkDiWf(jA(4Rh%ZvM2F2Gkehim&G->{yTZw8kEsD#LqC9btPn6Fs!sQ*r z`IxxWj0@um#9$~4g~xDKB8Q~n6EDLR9YtEYYhlFhN^x0yqIF?hi5RR%r?u0#T)JVt zy~+cQvYg#;Wyg{h7?n*U(M6+xaIQiedR6&E76Uwn!K*s`$#2Q@nXFlr=+!97IlD#W z=I1OK8>u@;sk*w;P1~PTjmMP@O7a?%ya^;VoAQ%20$LaYs|mAnJ!G&B!~Zy#v+(=V zyKpJkP0&SxoKUYxRIZe>2S)eVokR8S7Ai)BYdM~@mGVkQUbZK}Yg3TDW%;zTIm-nP z*Kv|*_oL~wvuIG7*QF-k#^!A!)GUlle;AXu zkThuu`i6vNpQVI{6=XY<=V}YR_Tn(y$PuRXS+Z&Eri(@a;oO)wmjDiy?ONEAgaqj$ zob;`e8mC^n$*f7|Na@TkbJ>Eqz(@TDbaHFbxe0YRf8sMSHebT3bu#K2Zt5U9Nnf@w zesIYWxvp?;M%>Dfflaj-GFlGn{0&ZXs$rtQDIX@d9NX<; zOT54;{wzucFR!Aoi9@|h5^BYCe5Vt{M0g7lGMh9%v|{D}`hs3Orh;Si@_e|Z13M)N zEVmdt=%!;ZqJ6R4iY&*%c2UKAQ+J__^`uJWbjB9VU+B)y#wzN=aDpS8OCl_E46(RO zloj}`32xabE|?FG@YrL*Z5&+Mz=|mYrajuO+hkbsx1~JYiOO7b0gG9~a66}+w%xGe z!SJoJGbzoYL~l>g$-zs!((#D&J2;5{Lhw>r!n-5!_*`$sMwCrfrhM4i83v0?2|Tfl zQjKss);q4mi6Jb`XBO?bnIIvY4aDKn#dhQ_oe_^#Eq$~s`WPQVI{n;W{y;d@~EKM(JZ+PMjOb$*E&?#=X`buFbKRnnM*72bMNk%Ghj5{IoVHFWZ#znN()(c6CKVlRZ8z z9qe1c+9Yys=PaG@EJt&9{Py&hqH5o|g6fYZNDB6@gssd(u*i;?$k~o)^1YcJyfUj2 zy&FaC-o&y(TXyf9-Mwvwkvp_axVzI%TRU#v;#IOM^;xPPjuxI2SQ@NyNo5%B;aJip zLb4nOr7;OPd=N4jp|y!tUQ^dV2DfuA%sG~{cF~yFI6%^_#5)wHgM}Y1GAlVQ%AOpn zeYO^QYr~~5?-b?9MdUDZ%=N~Sn?~Z zmD*XLnAK(W#j;42aZl}PSaK9;cW2sDo4XOqRA&}SR*Lkre*6$x{XuVly>aI_{j~Jk za$(akmi7JjkbvXI+i=40c(ml&9oakewfPaO8s1_Gslz>3g$9e4p1M1RJ*r)9!6&; zpLSnm%ostY#xnCDj2uZ?a#3z|?0Z(y5Yrl&xRt0}Efx+(*y|V) zoz@WA2eO#9eT-&dP=fm?$oOorbpp#^^UKIN>*EdM8HyY5r0;j~Y4gj%rnNzF*&rdH z18RYMRf)$MVPrnfA)E;4@xDUB$ZTdMdr!))gUKv6ev=)dGYAJ-HpPVJf-@5O%&WSW z<49|YhLroU5@NbHnHU~yheeC`w>E@DOY7Yk_gBHyoyGr)nZEaNT)QW>kG#shfD zxQ`_6v=zXOOKsMdMR*J4l`Y|CLOCGq{kA8v-9$rVQa0=rTg$W$C36D$Wo-pHg$6;GBYdb$5WcU zP&IOhBUCuHJi%$Fxm+@3+PYAk2ileR6DiK{dS#6{?tXldlU|R1HvPHI44HD>sC1t! zUA2-O>5TPPH1|`S?&Jw~{ysHT&?~G;_^A}WF}_K$3RYfV!|^TINXpKG`x~F;Xy%hz zp|GB~##R#+@Y4y*4v8kqMc3dlF>;c<&#jJL@?m&}L%v5ca@oG!!DLb4K9jf%Jl5Ad zhX@680W>_z@!ctjFE?ml`BlE8D)SZPY(NXIazJT$3T4~YT;(5(6%*pCiAWCs zmC<*hGW7maV~O<`=y{DJN?VdB6L?&UvF>(X(?bOgYi`xD@7|{?G4F|nSOp%F)f0(lHhtEV4NRY zlF;&)EiCWt+DFtG!Vm12v2J*qgGoC=#_Sr%R0T1;olK0tD`v0oKg%)Cjs~bSH6PyL zXwpVYSu`MBG?*94JBh;Gx$sW{QgmdOa}y@X=!g#7jGnY+zU95*`+!}}ai+H$h&8Hz4y#)a{IVz4u> zxPRFZos9j{8ys#yF^C;3S@{8nbQ*qh`T&^QHm3ZFrpGCX?}OwkFC1-)h0$=lB2MZ+ zpMus3A97S_k8M6IV^7cFx@a&jln)byp~5hj8^lsfp|y*j*|lYp96QK*xjP>|;+WF1 zn98QDvC2OfrzOCT67c%&k%AMfCor}d&Iy2*_%Vl<=56V5sy$oHDgygB!T17JZvC$A z5HX4v`{kn$KH-?s`oi31{o(Qo;`t1g~Dfs8ppY+0@ z(G-{7zED0*l=5U0^TTYfX?ZIvxOT41^_DwZQIf@xrNx;v@63!Fo_;n}Q?#EUE!}4Q zW;XX|6=%UB7GrVr`OSUo**t(@pcnqn5vR}ir%sANlav;O3O&RKj>D`9^=5{s508bQEaB{1j%{lan~IMck}m4j1@diz zT&vVvYM+Wj@EwP8N)k%mAZ3T3$-ZE|OBmj}e1&Z9@^BevbhkFl>^?pFsHBhZJqMMx zc$k}x&yp74CJ2e{`=sM6q_qFJ^f5kX@wA{HIJC6P8xmPxAL4^vGG6*v(h=DYNoM13 zJJ|FP*`+o;#A4P;cLiy~!|)@Al=d_!UDX;(7j^3b`7uH0m^6eD2^JH#!%rMbnj=1` z8!C(o<)=hpWT)mcpi#{C{+XjlY>~VWWNefCGV@3>>%#asG5CJT)vImw!c-vq!l9gk zUzpwv$)thkqRGBsen}W65Ej|K__Ppy<>YUZB;S`Wtlz5?98^+^0+wJdN4rrG@ zIi^lhyGY8~MHdI7tET!h;rYf^^8scp3AoK&+JA9?Y5hiS&It1>OExHsi{h`O;21=g zyuLfJSOr_?VpjS$N7PPgvcmL1uf0)KsDCG_B{}w5Ovf@8!XTlj}#yJHet zEo~YONp4fh|D^IMu-9<3qLFs(+~}UP{0vMKqzr@MYOG3FItTM#j`zVyyzxon zjBB-%J?3_w|AS=u*8k?WreB-qTVcoYBGxs#ojq7J4~Jd4S`KDY(idpVvZ@%C{smw^ zVQ!08dUGFfOsu(t3p%9#*4(zFDcTE>_9!$#?gqx>Hrrue7k0RFNiA3t zum_;_)3LH5z6gmqgy7q-%u?&59jEQi!l@WHhOHjTKidBZ7j>X%Lx}7epDxCV2AZf6ZK z)yp1|azo!xwkqYzQJL|WvJ)6nRW9#z)0$d#>?`ZSGJ}}^BH1fYmhqTuNv(WlJ63u3 zg)2I7ju_M3+KM$JsQe@z*-rc7xDq*-?4H#!Wi`}T?e@wJAZ=x`p(JWxT-@+do{hmcw=0x-zm~UzZ%iwVlE!e)-FDxt>G*@MI12@ zuI~8KUXjqH5u=J9t5zj_4N5ba3qfXEX|n}nZZJdj87G{!np<72s+*PaHL1)gvgJ$- zTeBOPYtdrAFpHQA!dSy_Ek}^%US_CkhIGVJi zirl=lM1D0zOq4ey7#K%nC~TcEb@4DD6#YI#Qu-Tp&jhggLmysoBLR>;_>DF1Egf zqZ~_G4sKz}TBo=yJ{1~5x(SiE1d#7Q*ihZvu!=+{mG`}=<4TJG=9UdBzZ$P2wwsZS z&wN8@0*6nat|rQtSHd7I2bi{^D)Yvti&7Y*QA?0V6O!v)`5uYJ{TF!F5U!!)MDAfY z#*y9)7RL7#x$T44f8i9xdn|dGRM1==8wX>C;~ZP!l1hH|rnTc(^8z`ZARM!+snS`A z#hW{Zv;-iTG6G%16zphM;9o^^ZCQ#>d9}29xxnPDD9uiw(z%u@ zZtiL?WB3UtIEu9G7r9Zx$gkLc*Cf;!w^n0R%GG7%j&9>H(nj%0y_dXVT{J1#+ftUn zv3!f3){_23`hS1CVOYu?783tIrE zQORzkEP_ynt)k}RPW;Eo^d={G%OpWsFtL&;$!w;~_<+OaQn@b#F~VRl3R@gR+N|cF z0}c(+fCM47H;5%gtJj>9Bn7Hpi6~k}GT@Uc%D;BSfj< z16Ta739^FSPFRk6wGnbX`uTU`wl^zW z9(FpYb`q2qFf{+e@u~v8GlBK$Rx9~$8+6)SO2;d^(F$enz&S-&CfMb8|C1r&F`A;C zAuT)j!s*U(ML6hSLoB8mmFW|}))7`6s2F30Hz?KGmXhiA6QOdrdd9B27= zINgz?ZELTjuT%_5@(fDS%|f=ht>U9#n*GgQ{w_{5&CQY}`|`RdnU(aJlwJpE#rn1* zdA5{;h-b#q9Eag7$B{PMlG*rFXNkGvGz4{5Lh;?-*G9eCGw{bOlkHk@@88)DWIg`j z^mpG(8AX#(Dc_CCT(obhO~pFbtTYhr?g-L6|Aw6*C=U|1ov@i@UM#a@;S_}ZW?ph4 zJ9=~D5^htthXYCT{AABsLl;(cqHJ6kZDMd3E6Oy+vXFN|H9yXt5FuUe90+rcCGGhr zj2caG*`y()4v{VgqsMwLm_%o=)du1a%8 zH4NuCoV4YD+@kU1S2S6*FP1%I;oF;syz&pla)0PKm~Gacqt)SUjy@X8Xv5a(fzcA` zi44Nx(Z?MvKRvf(F!@#fp%4(w3TfD@m#Y}!MYmL#zJpkw1Tm(NVP;gq0}AtvtsS*I zKVUBdkIWcW9Yfk1JMGBjiiVKRB@$gv4r@3U8r2DSJhVmKU=f2)o+*D%S|gvil!~k;6MP39n*LhKxJE|$ zCFNo}(V5xnc+!Fo(T+7%&7?&4QPjd>+sc;)p{ZhUQr&?d@NOrB5mD%IM2bPJ<>93G`bk4A*g#2s=2d4k(7Pi z?w<@H2?UgfP6<&LCm}B^oC2z z3(RSJl+&Nw?$e#s+_Jylpif?cI2#(GD`79cfb*SMnj_YhbI-_a+QF8U2nxJqW zOI(gMie_!fice#|F)H{oB=9(gmUhczFLtJ`qI+&!7>_3gb1VHrZKc)16C6TXs-J8% zzAa{0@=v6EeZ6OhNFh!hev(r^-|IcmuEd{Aads7UUJ-h0og%(GStdY+R>|Yn0va3`aD17jJI! zAl4@{CGkCzd|Zdgd%n2C`B@Gm%>^9OnVLx{KAVahHGQQ3u6bZHet3?PP8&64&F+dW zRD>WiErjP1VI2?@tk{$t7@nOUo^@b5X2SCvOPc>Dv&N!}aTE-<0<3XV$L~zR(Jdr4j^rTs4!`db#Yl&5Y8)!b3AVaB97x6h8cw9M|e4y zeufdcC%55MjxuezDA{coBP;Y*6P*usK1a$wtc@^jNAs>>KTLRyqf85o<+iLT^Q-(r zSwcjwB@ve;8@BVV_4o7#`}){_GtWX(uX9joSzfYhOu8uT8Lo;5>-EG^w>9n_pEm4n zK{CMdVjsK0!y6o4T8doqovnxo^Nqrk^M+W7EuMDZKj3(P?8mc~#)-2z`2)LR_qe{h*_ysCiTO5hvesf>Ff zX5#iR#yZ@l9eUiTB>y%Cdlr6m`ea~;TygYY(YUp2nw%)#K9({AUa}n}vkJVwdo%YCdozRTgIbvm+Y?Wc<|5<+@6k+`nfTsa4mow%}$E!}}ai+SID*!!{X~`unNQ z*-bU&4IRq7opka6r$2c@u1KbgSySjj^-QB>0enzje|4G3;=55ri}jii1xHJS4>|d? z$yGFE;!Rd1{b5S4!*|zgC<{=*&De|^U^TU35bPrkBhB@bSp(6%s}okg z8`|^B`@_c^N!s%uTSlUbiebrrobucmP+3~C{J#;V+nX>#hfg?$w58tMph4tUd3vGD zi{z6e;ncUm2e#OJ_>|*Fn`BLKfz7lSK1~MhrCGtQrTy5*!aqk?YYYGDw9^80(SS98 zw~PqCy75RO3jgOgPRDOfABzgx#!_6y73M}M0e+T%R_YC} zDF>TY?(!8b<>wq$+TvzzC_bm-?Th8}WZ}zF-))MQYQR z^?6B__|!UQu-u=G)fU2+97me7=cxV-v%9Q(cwuqH8J6RnRxc-<^=+>CC;xn zn%gBkGEEf+qCqKsm5MCYT=Q!(k0JU#vsSDS_cnaZf!s9-B*Bkr))VK~$;nW7@1plr!zD~^M-G{JVywl2d>hA+Sn#J3KK zDKneB>gfK5s2Vv&LQLN#6Q6EBT8swp-$q?j0`6f~0%Kj@aZqV9HQ9}?x|?IvM1=KS zV$ogUlEcjC0G3}zOK2;cy~Qa|_?}})d*dtX7j>%=|GvbF>J_+~eN^(syau&sf8fL? zXWGbDYFe!-o0a+xsooTGc) z&i(m`BS>==Wy}b4QMD|9pAvw+a#oKy_B5@|^6C;2B!1@P(}GgI#&gA{gnv$9=B?Nw z0J6n-R3H}3uuR_%zi_%~apvj@K-HvVe@R(71KTn4+_2elS6Ul3XZ;)YL||WBuicF^ zzYu=qKoZ9p*lwdr8!B+d7-f=}5PwZXX5rgYgf)>7YQFu(f!r4Vf4W!VW-WN8P*#`r zr1e{BvFFZwxI9&mRRK|>dLjCSzjNwo&PRh^*lb@kzb6e}NOfhKvR(}3kg*+aG5o=C zq`i=`R_Pd>X(9ZP2$pYAU%^A9G#T zUmQbP$2{STIa-zSU#ZNX17ozz^Pbsom(BYbSi;gao!M;g4S#bKX=A#q+8xow7zrW$ zok;Xdi^jl|b`<7NDmxqq|8O8_YnIK;QL-!be^Q-3df^vyM$e|O_uRIv{>w3>tspdc z$2HsH_%}H?T<4xWKcFaUSm0bC9EJ>tBhJ}yk;4u<=S2K*m&7+j6NC7Q=&E8`1Q&op zUciV6!<$aszLiy=xDBIi&&N`GxCPDwbL=kYcxHe;z2D*^LDTv3F-=Es7b0BKx;ATd zgbO>Ev}Z)o7K716486pJ42fTa;tY$`r{e7)Mz_&!E)HxycdgwE7j-CU`^j>{#*$y< zGkz~4vWt<7?~Zo{V!qbJ9ZXsXM7E4Y7xFU9u;ed6`O88+&rezE?niFQC7tf%E^K;k zidmKDr6{T;i0W1qSE+aA07B<0sMLFD$1|J!u+l!?SxhYQXEsSww3iWWzIxx75x@lW z%*_p#b+l(rq|NOfL{>maO`Mk_C#R%*MeFO)OjS~`Ah=S9|6blv&QGM23tw389{m0; z6Bh6l2+T*nTAqTbSv_P=`*`hzY^8CVA!;i-FBcOtld8luIw|(j$rasYx=tw%}Vxalx66#gW5S+f^%!0 zHECJ41`Cwo>P|n+r7D}VRw)0VY+oSPAPC1#4KcPO1-(_j%TM8d97fuNOUCkdKi^1` zTNc1I2|$l~T<^Vgh%MUTT8?8oeq;K$ncFmw{K}0FrXZeclZUy3)w()e)Z`1-aS&CF_AcP_fcFcOSOTO1$M;~3ih>e zn%5By>+Gakyxb8x#_N`h*jqoKQY zgjLtk-V0SN=R-FLI0KGJ+vmG+`75L?46W0BsDAsKp$kwDg<~x0@mpki%xh-KB{=&%_TTkVaX>+W&o#%FrAZ@w0bQXuV zDAn6jm9DD7b)xJHRu9a!=Z4`9PC6~jBXf2Sbm46a;*Nyitfdm>iEG1n=hr)ewC5nV z6%oo&9$A+D2I}7k`n8ou*A-ohSFa7r2JM+$F1@6Em2RM1M ztZ8V?uC-k4r!!7Xe4EKfH!d$w$i4(&-dLk>7`8a7G&ioPNMY5m08S#nO#r|NN;MwA z8rm^nfvg~_j-0huIN3q9@%z)K9#WVb1sSU<;;kgU*%V?7*!JS&Xa9yfIp)rPg}J6H z>QhL4I5coenFl&n<>JLnB=%Ax#DEOID>mLv_XlG&F3=7NEF6 zpdH}vv1Di1?HJN#Te4}bpo>NU;haVsj)LWsP#)brJIgI{n9rQN=)2a}d8BfHin zx)>`WtTwUuk`@WT*57B7+u5~M`dDGkA#KmT$mH4|)#r1ff_OUQ;k>1~EQL<}+%6f zF;+xai^O7-vHA_*z+tZ6K_qQQ{T(|T?548B z!Bt0dm!!K?wQOxu{ZXTs0M8{LyPt-ASRl>n*@fWH(r%e-8k8_5vUoVs37V=cEi06NwXfOkwIzRo0{y}8`eE-Ob%<<1$Q5(p4PR?WPBCQ<$HB} ztK@y;_62ia!dxnAZcOo)QN<|S&uQQG5L-L5C$0Na%R)mg#TQ9(Ys2sWrw0Mrt%G;j0VBRpiyhbTCZ0* zB8#5V0#bD6kewPH<5+g%H>Z0_vTcumE+z^I@3F+=YL{OTjC)2pZMbi}+44S>$2r2Z zj3RG7KCJFEo^hIjeLP_+nSvJNMgJW$1)t#1(w^ZlG31JA5j>Fu3_a05n4BvFv+eLC zN0c7Ki^dNjRfxL6eKK+R@MWiB&8%UEPB^fYduuUSXX5KgaApEZzy&N?J;l+cWi~dP zxHVZvbWbH6yM0SpKVuN~AjsICAM9&cNxG*wnzXxVp7lQ3vPZ1Zv;dw?fJ*>?9zX|S zu~B%26TLP5@AUVt>Nn-qr1Q+O&UuI!^un|LLpo+nI?tv~ZC_@kOWVRb-psX|d4UTKzdGY>VNgWZ+~yEObsd?zq;5c&Hf5J}@TBad9@h%yFc}dNPYfF~Pb> zUQQCmG5qah*aNvv*v*FI%29ZQgV~;Ri)6I%fvGA8=#>Pr(18_%XvO`EOwH$eG*}yj zS2>il-Z8UdB-!VhX)(N-418=W)c|o$E~dQ;2WGRODZIvkq?MMd?54}B0ea&?c`Z@c zQCqZih!UaUbx!tBI_lh-bY4##HhWW61GB@z8=P#~x6RF2!{=9}lnELa#T!Xs&gv3M z(I8mEKXL2(*nAb<y1dsY;9ZlTO7*iX()rip5-nB z;MN#PQUZJ{0XZu#g_4Kx^nn-N=4jF;5Y>^pZdS@~r!oUWY1u@GPs}Qs{|*PXnAA*% zp2<|w7X3R(&)&Wv2xf3L8szE>v@?O%^=Y!ZRi8ZnJIf(N+A2h2{em|8t3)ZNB5!&X37zpOV z2b}cAq-RB@?Ca~IY**qRq&OYKYDAiSOO^vW3?Fg`X#@Y*m~`2;Fg~m{z<0*7#bT?H z*YXhukk$q=Wo@8~vR#RPl;YRtgP3JD+8do^@v$eJMKol9BZm6@@G*yy=90;9d>W^! z2<+o(6<3bN^6kSX97@_lIljn^S(WrBDQ*3OC119-*z^#gPRklViLg&O^)!baFEsD2 zwL|vVTNc5mNx&zwz8R6(0ygyhuY*YIq$ce}lxb0Xh7=qCo2U0$oXcuMhW~RwbNJ2a zV{u_Sadz)y1^ZdT-V~C>5V|RrbdLpEcG~eG*d2|Ldo+sx6Kbo^htE0YyCpFf5_U6- z%jt^3{k(Ab{hK#G#`+AZAG#ZL62li9?p>2`C1J3-sBh}5>k0OYgk@N)w7a78G3GsC zGK=kC7;agL@JkN#tRzqZ#$~4XmXtI~AM0}B{4zP&nW@Lq-^F`|nN-{k^%X}rxjq#R z3m*-RmN{!kUFh$+hOoX$EcPc^Y-krwX^1p=%OdzX32a@l zn)ORZw%eIsnnm~)Q@U?Bjx=|ET+(mVxKO?+6hAVffC)~rR>J$Y97>w&Bb#=EbfKZY zA|RY^6XzPZHl?@BwyF}muNNK^v4p#Y|6TUtE&GZg+ z%!&&wO7Z(tWXE1{4lN`RHyF=ksS0r`^A8-yX-OQpZMzxy72VKrO5*z=`4}&&+!RfR z!;c)#`Xrv_8zQ5U{;{O6za}EbBoqo7Q!1N*7jx-;N(9(r}=a|waKuvCD&9*pxPY%BB8cMgt169DwJc>U!g0y!|wyaHb zQ86s}KT@7yE?bpjBek}3DQ-*t?)}LTq(xl|bH-3yR;>%;&&0SmFfcc0(Wef7ak3}i ze@^fJt1%oIlgeMI!tt(fTBCo=WBAy|h442go3cgcTDn!OV z<6ILI*r*-;;W*N~qG-q%##t7^KZ(HSzgQOAgyX{oi{*8sXYM`Y}}TTMVP|0WD$ zFy--q`Pj@~It=+3<$UN9@$aTT39=L)ztW+ZnOR9+0M_GdvpY8z2K$f%fb~Bt|8XmS zh|7-`bOdS5u&*#^5T$D;AeIY}1^*T03sweP__(mspFH88UcJDqO7tQWt)@3IdC<-( zxu_FPOM9uOH_4zhFGfv{3+S1fGa=Uc+5ZX`cMNHP7a6ve*F`N2B3BXEB?xu}fGPhq zCIzo8&xcDoj`jFg(;q|GF%DhiMkRYG%3co!<+g9ivY%>&4a21!Mp}Zg>>7qH#)=5* zGQ{GeQFTRe?Dqa}S;vv)pO5iFX;Gq=qbP3y|1F9|bmy>2&>C@T;^m!Y+T&Q!tQeH! z6)4F-Y#s}Z!!-h9=nk&vR42cEN=Isnf|jgG`bw1MNI=S1N-_%tsYKu8;UzfW)X*1DUPZBILrL|Q0qv4#TU3&U_#N0XM6B->d(m>?v) zs}YZ-+7wAOCtbl@d;j98g;#fAJMcTxUr$*zFkOt15Yjb>bU1Grj_&Cqa}vP=oEIC{ zFNV?K##Z|w+^AvrABUCpx<<q-VMz&uzShsIE;aE~qcKNHSx}t82rhxB)0!=a7&Jqt;r*W$~%d5Ylyt#097^ zbs=L}$aM}V%@u4&gY;z~&AeEyM;3E^mbeg#WKE1#^bc^;!u1`(dN5CasGD}s7Dgp} zIEB~2p!Zg@U~w!~Iy=}CZr~`=M&QD%-I?Mt`ovyEST`gVU-+yxivn1-Js*pM*ehuJ zw!)1ZRod+t7q9c?g>z%#90?rFqGA9xVBeUfW2h%uY47RoT<+|F&v=9bYvZ@4-?W;2 zYqi=>$Ek|$uTW%udo^NF%C8@nSd>FPzj|?+QL4T*!0y@=9nQ~Q8Y!B zd$M&=w=R%d5rm$i+>|UbY0)jK>T`m_NQ+jkmxp$uKWb) ziN~uHPINHm;|VI6mGnkR({a~RzOjuGNGLn4K^&dU_V#}KCeEkd+l}IOtqoZnaV~6gP-)TJ#-35nb+jyi?F69LtPBSwintx> zVTU8xF|m0x@sm}%bGjHKA*54@#28=RSL7WfPEg13m)&6pH5aUG-cCoA__C>6jBlH+ z#>$B7&Lrc@RxhWDcyq72FbcaIP+G*dY|og=KZx~OGXbH@5QQ_*VtT}tmpDb@s>HC3 z=)!JCllHz9CNmZ#+tw9?a~g3NK~TVk!Jt#R2TGwJcv}_-I^8j)1vX^Yh;%VlL|A7K zEBE>60GrRpPq5Rfa4&)5{>h!T< z>@vwDEg{~Oh!!>|9oN*JpPf5^);Zhp+%bu#`NXEorgZN{U5*gjkxEoMVFbNh+`D*p zN09b(zy(M+Swtd2nk5on=X_I8{sC1)dmOOt;cyZibk&fvr!_a4f5@zhqfHLJJX(6n zk{nb90|OKf!9b0fFz0v@n2~K?t^hGO%le)_B%+E* z!>atmiHN96BE~2*YvkKxtFH@=A}vNyn>5Ov1Q#jDB%`>iH2#U(5tf`@+9dVdwJs`q z+t+mlCAdsMF0Lwmvn?*_FAq2O=~m5efkStW6Hg0Z$)d^YqQSgS_7H{NE2f#SMBUDf zS)$3tleWfdm*f(l}i)y@x!zSj!B z7pH@Axyw^loK(Fum=AqNo%Y(xptZ0r>edA^APDcZdn2)L4f6>MEh|{TU3DaB_gWT> zL>Jq$)Txqrp`1$;KIeJ)dmIAF1?1r5C(o;835C6mb8-+jw?AeY(P2gr{JPNE zxKW=PRK>lI+%_AG8LKhqi?oE5Rjexwu~$3ncYJAiK|cCjH!Oq$M8JQRkP|Ry;7O+L zc}_R2E=4uY#yXw&_i>Pua|3gkgLrhti|bq5m*0X}Wxm&lOWOByh-pucY&CXA zW?1s~r#$avoXE7c58!F^TBoj!R@X)|wiP5iz%iu7GvcHs4kP1@i{pXh;JiFrxkPml z))eS=mIl@#J;*VnwL`-)s53162UGvj_AqruE!J)4^ywi^HO=d&zC#wP&J0TJp;Tk4 zJrZzEv{EkJ`CYLJE)#H$4G(j|8}M(ZkK(0to+hhOe>m0o$eC9M!9A-u(stBZUB%9y zQFw&YUZ130b?v-SNk5X(oRk!czQre7{#{^3*P|T5jwFP_l0EmuW$`JO5YVFuM4zB2 z4Trc5Dr2$CM(D!Vg*)^Zhm#g#C@dOIaaj`(%wq|2Q^4e1O=FLi#d_3>JtkTg@gboJ7Tbc6JeUW>>=#9A{d5JvVNRm|snl65$g` z$ax-L9j@8C!kS#N8m%FG+Y3)}aB1^A*)=v@j1>{qlZnM7rsYm+>qg|w;~>n{uI+2W zWaBB0ByHS=DT8P-Dcz@1mwl{;2c$5}BKw?m#pwDz%_*nFK4r}0by2k}fT!z==l?95 zC$s8Rc!rZtOP`Xds(i_=#GgrVrcX`GiyyGE78Y;AvmDJ`vd3t0?bNbuBP#!(mV_@c zAwHXk%;KvKg3H+F8=m8M)+h0d9{_1oy3eI9odCtL(L*t-1=Yx6B@H~5&vW`|Gc*~r zw$Mf0x+W+^^Z(UoG&D&pGh)ti=7_UUWUjr3omkD z=W{0M%nRkkL}4$i2t%Is5?ui7<<+8Dmj@8M#8KTn={c$yw;NjfX``e_U#doP`9f^7 zPJ5PlJ;U%ahqomO&(D_hgq2MT^gBg_Mt0~E6q#YLHNWCE}uJN4IY^-MN0h2fTf2gbd8pn|~ zQs>6)*~qUZN{R5bBxI0$SSg*eJm`#i;dKrt%^A)t8BBv!DZjp1InKV`@E=yLOugPn zWqK!-Ww)%j#=iD&X06jfSF*6y3vY59X|b5xuC+ma#Z|W^6}8Bl$;C9#VohbkD%>ZO zQKeIi0k_{9V7JFx98_AC*x0p{CJiCIl}OB}$-3>hJ;icTvojIi=3vtLjfPR6W?Bqy zC&RVCP+uy

BuYwjB8m$C1`3Ws`QZ%0Gz9k%fkU-YFnIuA+DVNJXo05GmWx1MOO!10Obnlr4fgv!w&oQL= z_k}IHE5&8;sU#w(_Y>;Ifa3c5gwt;F5{@5maCgJ+PM__|IwJ;(*Xw7Dhcf!D!q&`ilYKBo$u-*zG&c;aA|2mBGmtizTO`M-0C+7w_X9O=DZ%E6S zvXuD$b7X0A16j0ZLKh9@h4NXV@b2WROem2w8$Rd6*H64V)7O}2RFa>kBwtbuN}C$? z$Hh%bUvL;{U9#-P_aZYsRzz4|Bo-IGN(EX&Uc+s-G zli>#rtBtQPeXO!F3Fv}3L(9vh`5%r~74Q!U%tYr}C?ziV$_E=_ei44;NYkGFnq_Oq z+E43xV*D`~D`Dd-x@z6{F#N<}ou9CA#j*f?N`P7ii5h7G=Irv2^zbvsaK1apvUPF% zoE)5m=9`b{W7FfpmWn-iy239UMp{!e?P_qAh44!vSYmuFhc=c(+R$6UvC(nEz^@$5 zOwyB`#|i8?$*=NU-I|WreoZzmYxupI^Migj{Kmng`Jt2cXws~-e@kuN8WfW;XX~ux zRVL5IJ-(Q;gx@*+wBASNtSxlmZ42V}gjfd%AM{^Y-j5WmtjrG{m+%J%lXhpyW(}zP z11>Ij9fAFkV4Nja?q(JPQW@7>YyI#i$CVbn$gS3&n7W3T{!AuD{PGT-A6iIaL%rm` zIF7WXpxlyi4 zVy%KE6>(jJTwHG*zm_*sI>zLpjxDWAYzW{sEaR1QM0YXL(Wl5pnCt)~L<{#IYoU!m zSGc$%N*gg6My$GRQCxx)mjDG5?U3<=YAu&^s<+1fo&I`PAJyENbS_05PVFjt&6iMB zFkIT{rA_TBp_+WNISoqkGL&Q(q}=~;4YQOD8!qd_)50LKSnFP$d7)g6D0Es2_1QtJ$$qh}RNp_d3hy;^t*+=*9n61x zuTG&Q#H$gJVWROBz-D<)F?L*rt2?~3Fj2{{-LTSi2Yqy@mYIaab`7!}3$}x*LV5D$ z4V%LMIMiiWN$69~e+^8ki~pKx+lH+0n6tpxXc)0B^R*ms+CU}4*08!L<(@kgfnA$m z>>hB8KzF`nf37hDJf5Q#uH#_RoY813qBPo-{B+KkFPqS^^@)r-vjd zAeQTqg`KvdtV*Ql3|0@|fn0=(9iKW87fJz<0j zkSO;xyKkwBkS!;dH*iR4&O>h5nDVRfI%2ya+32blM~`63G`6yY$0^^fpv9HVaq#WZ&()!oj zuA$^twN%_pMO?>{i_b#73WX5J5cwosgrtviB$M+t@<;h-OzPVxj)|=b5oYcjgx=v> z7N#YCJms0Ukw3=8t5Fn6xVhs<>tS<~@yV#a8M%OHZb2Fbsw&|Li)N3`v+ByXbR=oJ zEpl^4l3(Q?qH$5&iWKZz$GT$J@sF~qb68FfCpe%qM`vuFkMsEoA;H~RO=RJ8i{@FS z7K`UGE*fs*h|;3Hg*j`Z;<9R87`G*cCF7P3^jaRak*pnV=K#_&TE?8`6>UoP_LSw@ zvNRZ>`ogHC^<8Ww3U_e2X+5Vb+1J)Z$*iRBNNGM5K0f41Q|!Qd7uGwJT|`Ej{p9>; zSvC}1C=AsgBeV@f`GdPnVDXgnVFeiIC)`a zX6FAnxB4{P>7FUc`G22RJ2l?9=Qq{e1-EY9LUz*C{{Ei5#J*A9V|errSVB=dV0wo` zIu)Ou{;-*StDR&eG43Q|c_Oeii?qPHp`ERH5L*IHc2wtMB2Z&qD7%Ql@mzJxhmO93 zV2$05A#F@0Q&u@D#9YtOuEbBFI3KY|HHem(|2yn)EW7@LS1HpF*G$eOKX2}eHCHc! zMl9`+EsoAQuCzx#cl5?PXu6KrP9+SK# z6_;LdjDfplVKwG-n{zN}!;He7)k{$~$z<4XjKXiwY%o<(Q7(`huG=S45T~h9_cXFJlH5Wa?p3{Bs=KeQ) zaZr;YCc=Frq=QUB-{s>vx!DMANd)zUCC8TLkCIWVI2Gy@1hh;bEDz%tmk!2O9W=*_ z3}qiUfW*}{7>HM`VohR0im~tMj`p`^2Idd6lmc<05LTRM+MP>dCR%S*;^$I)1FOCv zLI|sMF+32*jh1o3i6BV6DRN>+i=h!q>Zg*(XNdOHRgq~P89ma zV(JI@8n_pIH`7314zd!vhH&0tv1BF0z0Kk71b!ofTm;844JJB-P$LM={e zKw=y!Xmpa97Q%gqz!l2U`b+6$wtj?$s}CO#QY78i5v4V)B$>V}F3ZCd7(!A{rbMG z)RX=mayu?oqNx5+LQMeB={j@ zS>OG+6lW*I@k0jzy;xG^OK3mOX{WVD)xg9ttI~ZwbvgLM=mIH7*&1!`4|t#%hHUh$ zzQC!ct%?@btlo=a#ke3|NQhfS2)A#0`+({2hHC-Gh`~d=1^bNQv+so&jEg$U;YE&a z0Y;`jog7JVdpNx*X!V77NYY||G1;#VSqyd-`ir|`!r++6Bx@C0A@&L{zUN)h$7Vznie9kj@gMYFb*G?=f>_c$GuE2P`z-X}Rq~*i+~f z#rtaVa;!MpKZpSe&fY-hGMMK}23=qg1%dXjadeX}X3<|9j5q%T)53TyG1x#A&Pb?p z|5bRM6Tj2Ms*!k|Co;1r&DT?t5qfdgX!PQ=PKr-$8;h8@jo;wJ(?$ptgLeB=-l<54 z=8dG`B-QRT7Z_*x4G;8J_hJY9aDELrmBO1GS=z)ZH(uP-Q>8@sW)iXoQ$M#O=F~

%b9!m6h2}*gjYoVp|N0;a!eq@=!ug z3)aZZm~p63wJd;l6M#>RGE+ov5`%oP$AaG9_3)mYB9?&%?>DZte}N&MxIi-$&sC4*dbJ z-P|qcYW^p)zSmIc+kTMWmi_;E5XLF2F*kP0LR!Ly9C_MvX_o9Jtg$KG4@=jz7=1hj z;Ui8r&BrTCCapr&5YeopKT7F~<11VCU-T#8V@~gOX;-Kc3oK(&`8ZX^z1T6NF8r@k zO#6n-PLpU>+Ml3y*a!JZz` zTtU96`S5>^BF)iSSd7(yBgp&6Xv=nnuSx=f`66NHV#%i?7{_7=_a&!4d1x|yCSq14 z`elmpBGk=5I2%-SEm<`B|c8?t2t zDj<>)tzKqW@?WR?Z6RON?bWcRx+x3rB zoskz+f1V$J2|8@vG%j!-O# ziu%W-=BRF^&&^7+y=4S$A%latYk%UvHckZ7cr;py55Txl3ICMB*1IAig6G|3Vc8Z$ zorPHZ%;~4~Xq6C)ddq_NIU%l(Z-rLQQe}@FbUn!aPxysnN%JbnuGNMLjUvMOC9yaa z^-ss1@~-6YD~B|jba}kZ+9$3eB&=T(>oO3@yWB} zwDC}3(JoI>%=Q=*0)qJ?Vd$f1umt%h$FLE9Hoe2m48;d|%&2t# zOkE2SD+du}8Drpu+=j4W4&DFa7}7?{6XKM{Bt-OA60u3s!~-sFd$@UK_TL;v+H^{m ztS(e2nU(b4DSZh@Td!ehL;v9f6JygVGsfJSbpA;ljsQIiCbLK1D*Vf7ri}n)tM*Hp zVaflS@|>|Ey9w4#kU4GpE)Eo9M#u|bG*u4DP8&Cs5~Ylpl{s{*@CPYh6+2YriE}NBH+i)4#OG3BebAgK|VTM*=Zl2RQ;vqb9338^sYiZwov60 zRIwV4*`^H>9y2km2f1K5e8gV^-lRR4ohO z8U$d^jEOx~J6EB3O{aM{J#%hNI@hAkHK4PwWJ$X${*S}AHuBWOBOR~pbknLD_Uvmm z+7-cdNWeJ_0~2DKHEN-uLBb8ZlQm+yEwbRcj$}7JHT_9nS&!BXXR3&>u17466S-41 zX2#&g*jdYwv51WHqnI3cgJVkTq6(w&;hU%-r0WyO{AlJ<<+fq0D6RG~KiUl(Nm{2p z=1+BIC4NJSw^$!3&W;%@Ag=7i4zzHDqv|DHGcOWr>5!BKej|c2Wp zmPX;m4l~UU+8l0KHZGEzkc4g8*xt``*M{f@j&uxZjf#v}6{(Q#DmBXjxG4cR=Zfpe z*}p58c+H2KIq|d=v1r1i$8AdX=9Fa{6SwzZ^IdmeZiU{l0 z#5xKBTZi4s(doX7_5jCy^N90y%(vno7m^_7hh21F?zD6-<;zZ5=(i<0pGsy`GTaKbhX>Ot>+cW=_InTkdmtnJ$PHWF(&9qgRElr_d zS_oT+z*W$=^_GeAXZLdQ!olvz*aaT8I)=2}CWX03VK&FD3*!W0YybwwpiH&Aj4U1e zZ7nNK&$DfCe7?6ioYV24=^c+ZYf%18uO+w>3CF00rfe%V5N|VCNjS;jrG=E`hK(yP zZK|FLSjdQMJIUBcXePl>(Jl|+M3~`S9ZFjCrJtLWEK2omRHe(XlH#Qsok(GalTDiv z$&^)q3YI!1vn%nP6z7n&$w9IM(~oengGlq#=O&FJFF6kk1w^xpG+fgthB9%)#Qi!v zX$mpvxFC#s7=_&qDs4@puxwOCu~A5Hrw|T5g=^%b%xkyDk)#c1-G{()FrZ=fCdMY)K;0;;L_g3sQM&eXv2*84J2&XxYw9Am2 zHj=zFv%WkxT&fik-RY#e3GdkKh_yZO)V3BMEu;|34s%27W42VvYgTr;r^N`!y78$n zMM{Wg5Rtur)(y7ip<~E0+L;@LGaXafBt+(nNd<3P5N8ph5(N|;cz1WwlLtG~*CfrV zMDIaSE?xVhB(jH>vx<8jG&LgqOhoDT5d-hUILBk#-4Wt`ChoOAhTnaO`T?zF?LGqtRuyC!gs?@K?1T5G%YgYYk89U@28D~=^?okkXoMTHvkLOGWx_$d!Y;u=+O`sZ&jQdy@O zQS`Q8>>jr#a{=;bApqC4VoFLJWDJI-0?FUOw(bGD4NoDtZk8J%&KhTTy&^J}&gwPNp^vth3WIaicueaiz^dv1>2S?l{KPASJxV z5wCI;YfiLU?_mo6c*nN;{9MHb5m7yXRGf}f;=#By!<%FkN=M&NSg}EBW?sL$USa`CI58FbJTLqXgFxyb!OMeC&awMEz|&W zU_8SCr1?6{nyEL~mHspJ_49@tR{-I{^fcoMeb!;A*EZ#4yHbBP)!CS9yD-{&B!gXD z3xn_+C!ID>9NQ*bSd{2&qNQ+EW+J7(~5Y$-kWPoEzo2aV+@z6;3s+?yGa7ibd(Yl6t(_dd{+tgYYV+m=--a z_K>*ata|h?Ol{^eXd3v{}Oz(D4>WeovS%rsIz~3R9d>Yh`_PFM8NvSUl>OqjKX7o8nR= zMf_G0(|buD4Kq98H@zL0OyAzETRKG84euy+j9n6q>oO*|MIh-^XS<=R=s*>>D zO}q`L9%N}8^j0}0n6+0HW8Fs7(0aSaR7c@G4(*hr%U77Ssw#^0D#Cg%vAA$lUu%6j zEZ*mU()!D!x}trdyq_qx9v_1Tvv5Cq{D$EJ4kFF7)*L<<%}V=&)Mjr|jjmki;iS{> zp~I4vCA%Cd#Gp+xE9nnYnqe8`Ij29opo8F{?rQjmBT2h!%Z81n{6@W!;66$?bN#v8 z$#{_R<61uEsM5x0K)FY^h08TR3&iQ6`AN6J=I!zUeU+Au=aViQnIHp`}k@F^nDnOvEa z)2SIg?ZoexR8jR4avGH6XDE3zjG<1;j>bJ}m>2~#gxUEAh_i@Ul#nVE2N)yvGkn$| zot=avop_HOs;IC(M{M?NSxOYF=gtogv<8?uFCojo=N($wI6ku#pT{+X(~VkHyHfuG z)%ggzU=1c9!Gd6aaljNOjv=jy&Mg{6UW&mWW&2|JB3Z5h7CpR}(%Mok^PNYMFFBI5 z!KduS3*{Pv+_*5lOblL-m~N|u`(|kgx6dMv;tb&{4k7J=WVT{ez^#c>AFFny{#B~8 zpOU+MN6bPu-~(nC}yY9f&@uCy^5wX36@2 z<4Eg3WX&pH1!r0aKO_R5LU~4ZX3h{c`J?b72ax8~lq~~Lp<-C_Kc+k{2W~TLw1X>m z6f+DU1J&{}q8_`LeuSSminKlcC6fkHD(`06fwF{neoCI3fG3U?IKYn+Q*6OFxZWDA zqisS!a1T?&`IC5X;?Eq~f8(>$AJM|Pkrl;>VuJiRA#K4t4A1Kg;J9S?UigJWNqb1E zPNCvFX;_rrFR6DOR?2)}jhs4IL6S!F^=tM5>xygKYxygupZ3tyYy_ycFPdMIhIedv z$LVTkv@ag^{ToM-HpOVzaGINy_-`q0{=I_AQ%-E77d9|48j)q3yT#tqg}tE&t|jd$Y5Gfz0}#8~)_b z&Pl2ZZ!|U?ZX;oWyuQMp`4#BM#0KW=yXa)fGD`l%;oUw7ue1%iY)xu^r5Xbo)Yu^q z_h1ny#uT&dg{977_?uHtYsqA_(w;U*2;jhwLXozhPK$5U;l6ri9t@IJ|F(b z5MLKIrTR~*(p|p1h9MXv0-`3+PKAFt>9kQ@G?U#Db#^8HZ_0BJ6L-tTr9AX2 z_K;oxwNVab-iW`O-c;A^yM>P~Gb-T=!nTd6;FC&HvIr+4{d`!N^v>+}_ z2!8v@>M#Zp9rWZEaq?*wyca@yj*~@HDgSAR@ zG5A84bYy2Gkwp*KsN^T9{zeuRbJoWO8gEt#dqMtf!4g?bTKrKxQuo{NVu{C zU%;oQH@b!WEHufq^5-&1TF_S^Gy~)EP$_2C$-|{$CMBifi$TXp$-3ZqiK7L~bH7B3IfEb9q|sd&X_3kP|?)3(^gB2p(@ z+mW1_L{gZxnkkCKE3YKH>jI0%Kd;_xZ%LI zi^o~(C~R;zX`cSvpjB308Z$4F>yw0CHJ^4492woRr#D)`&K1i~kZmx#ful+5s%6w* zRH#=F&RXzQl(mF+6XLOrj2~gHJ9-s(kP&}#Ydp?murRYD9bH-|X4P(q zZi1BHZb~?gU8*x-IFuQ7yEuPE|YlN zlXojek+wfEw`UM}3DFlwFNMpCg!G)bisNWig`$+^;Nsoa?hMus;BR~37zdFS2Rjz5 zRJAJcV=2zS6YsLfb69hP7yX58j0TosyBm&kP(7HKJ`(aG@h)+Gk;%#ezcslc2Qw&1h7xt#C9d*%K+tZp=5XaYX?QML5aH?@p5U z_6)zCNi=%#^D%pWdC1dPPIefRhg#DI?9r@bcTtvC#Cx+a)Z$t5 zyPf*v=>jG{0pt3kWX$dg733$2mIZJM0mc`9;7{favB$|z{_>J#1b*b2_eN;TAc~VNJeB({B+p z3(>N~Pp5b>XtC$sGk4wS zoM9h<({qj_txKt{&eR!}dY9^S-(~(W1)uQLct%P07uMTwj>n9UVcyXko_}njhQN9R zWAK22EN45x;wt0pb-|IO)r)M|6RJYRu;dph&#qSU{LP)Y^(A>`)>b%5Y47ik`i!U8 z>tNElT3I$26(-0Ctxq(LUeyF|!w^0CTcbZToa1=X91Jp7Y2LkULF^+0FVEQa8Edwd z96{RZ@x*O8v@7*xs?)in&RMq9 zhY`Pn)}K+y+zq?x&<=O~IhvEw8kN}P$48>NEPBQn%dGRua1o<>I6j zLXp1^4mHeA!g&ri&Ci%cZNxjS*}6dPMG$slwcltH!=2!CfisQ+jc{*=l(w|*O*hw| z(-Y)<2#FsB`fS;>*&-VegmGU-los<*ljfqZDb@Q?wJx9lr^xi$mK1DlIo#g?{09OG z%Jv2G0K(i1Rd8Umh{Hk`cI5&%x8;U;K@C}> znm`{!P`bGgRpPh5Y&mgzd~0miWuB2bo-grWM;?;Mv5SIknW;NqQZe+E9>TALA9}qk zkz9X-m=X-}y5XS?G_B*RjxxurO7~&Z`uYX7aLHZuJm0e&$+Y zd;}RergAP`TaLBesE>3|X&%AcoHZ7CDf*9d9D z5$sdS8jSFGht+|Z=}knkud7~F;7=epos{K$e)EhXgMS~RLipmI==c&BY9?pJDG3PW zNkrl7+MVTzMA&vD#giRJ+OWL&IM2+k2Zi_EwVB483{Q9*z@xo5ML@L+@x) z%5SH#-A%ZcHsgmUYL{lQWg^3yGh5}#fM`r_Yb0uve<9lF7I(^VPVLgT?Z9%uZN5a$ zkv4X%%{eTaQvEJfIVr2gWFkrr0eISS@;#@Y))Y?gb(O7)D6Qp`UAw$0G>Qo8x5T>gI93ahcl*Nc97&ol zN8)uPW>@0Br#PF2+(&6Q4swBD7sel)_D1~O^qaiS@mUy^@E<8`gXcW)3;(FYh`K*H z-88>^$pM{tv}I75f2QVT`DHO>MXr;uIy%tDEcY)?@6Ku8b9Fv$(6UOdnv~*SsmK9h zbptZOP*!@qfJxM9_?r_?oTZGGvdJS}%*^bFc_!#=lVKtJod{J&?rc1*mocW{A5MO9 z^RHF8!Zl!Dz9^PV3*eswU>{wd^%g-W2!Z*R!$|YuCZ)YK0m1y6F!;&0In6B&vZ3e& za5t8NzZw5A{ciUOC31UGydcbuZLls4r<8HzLQejCZm=F#5YUAQ#ApXUuZXkorS)(T zhmz(!k~zC0Q~-wU8I)~7T$B*(81exo(sB-Y{%x;|WJIHG=&v99^O8T{V4l5H8xstKci=dm z5su--9CQ>e@6g(?F}(%JRqQh5r8G@3UxCawfL;-RTD;;!c&RhjTZ(BouIMn+W*>z) z<1C8BtE!IBu0%B6)ZM*ngMCO=z<+Igab*XR<|~e748mKKZXv%LiiV5**L}V-6UF^5E^?OV6GpobEjY;Uk?d;yG zJF2viAI-(OX|OARYY>1BTGh{p0Wce1oPl~xr=Rwq$(k{!5M7wLX(3#T2yA+?xi(h1 zdP}X{_AlE8E*YU02-kKbdy=kC#b~UOnEJUvMpV}!6^F#?!?tEQxRyHy!*v}>THK5* z8HEZZvy#3Zr8yNq%-mS4T-e~W)B1o(;dj!#K6Uws7Mq3QCYNvnr@0Y-G`&fy#)f*M zQoSKnZv}(w7^??uY#(5=0)V>9@<-4);A(MSYw+$`FbXL;cAPKuoRY=hj>`{c}0wM2l8^_e_7l%Ox7GbmS z_5r4_Yn8y-TRHH>B=GdWv=g8$yLz0pZ-5IDB6DJZtg7L_~kb`B-2R%FvqR8ZGi5fIMp ziNgk@>XTU;90;A2aJ-{PTdZhE0vByc_zo1tPbt^&sMp(PF0VT}*~4{t$)GgvM9p$= zkA*Q~4J&4B3U_w8iA#fs60!& z2OmoqXsj=r%P{kWsg&)o7?%;*CX#W2&>b>jl#gnR7u}8Nc6S}k0#1?(kMe4HFGmryv#38y(ED%Rq48J`u{w1ss)4Fmy8_j>v>a0?32hhAIA^X4VIJ|Y)7=g!tvk!j8BJa)#YfY) zC{7`T-I&;vj`VDB1Tk-Vw}%9H-F;Y5-Qyr82LU&(sG@zWGcSx8Vz7m1h>vFO*HM@~ zBo?{%6QZNdyjV^Zi$aFBxugWMNRAOsb1Z2OtW4UqQK8PhU`{6tuMY+$*hk5>eRJPd znX}ZGY{|-w{&E?eT}ENlAS7AYV2v&92Z^Y_#A_ zqEoW(>6j)zL-~E1UvYPhoOyw?31X{3G577Z+1&`CwH=>lJAkxt;6k)x>e=hUrc^sr zy&f)4Z1-Y<-PTFbE78VYf7_so8)eQhq&aFUR*j_c&bW@ay5!vJqEcgBgji-%hKN`{i-(w zo_x9k!jjWZ^g+iFm8sX-mHIN(IbVhrTo5hatm8OfIL5=kQKWSonN6dZXkRo#(r~2L zU7l}k!OswJb<6W%#mT3Q^k^j3K*gHG&ZQVv#pT-Bg#h1P*owReT`UB&EQ&Zd<+N5% z7UR_qbVMA3C9E;?LKzWd15n@*$WjSeyar+^6IQ}ChYo=dl5Vb+L> zV!ev6)`-O>A@Asx)PwGK9Ft=vruU#SEa?N3X2Vd)J%aUV1PEcL*C-rx0BH?Fb6S(a zv=G*bz`1jty~6s3QPxk4EW3V|oBcdTlXh8h!<8HvjVc1W7r|`dYJA>=CC1@_aBqi` zHY-h-eyo)NDIFd9_~oe0!MOtMv|B4D=AwS$0NwW28(-{ zW>(jExbc$Z5Jn>)TZ|m7ZI4l?*`iqIKzOvHNbAq) zhLCmUMe`Wa(7~G@*vB|M+Z!_s;jxY(Z8$l024KmgbRS1uHra62tg>|&)$S!Y&E5w#O_y*&(GlU325(k8q=u2%kbi-p2I~Da=^fyzJqrj_gq8 zW!Xw;92!p65!TaGaejAb!8sb-GL884f9J9-;6N!%-oNB{91ae9nChDVUgTZYf2EG@ngP zu1xyPi``;B4mYH6*d33>2+wgSXD3}4Z{KRezu71%+~*RPQ?2@YuH9bh4d8NkoKYZ8#-+hN40?1uu*XlK<94d@k7s!hRqJ>QSDf@o7|M&Aa280}jmmC&|3>t_EVIy6^!9m*&lr zVM9})Sw&zUB-kYYMn6k9XAQqTS>RJtlGC%p+Q1OA0-lg5Cb$=MYaY!$XLtAU4mxoV~!$mv{2a*IBr(TAEz=$ zDwTZigWduBHwypjwA1EFGG#TOg5{CV>`MF-6lZfiwldS*8$Ri@(?%+pC6lhPD&=4hWxB!NSoJtlaa+8 z{a4lz)aMAr;RaI0<1uRO-nIMK7S|WT=N(9zk18```rf28zaY)Lv&IR%9Y!VmpVORt z+fDDOGrJQ0B8BOp)Z}ApwyOd`dLtgz^d+Z1d8D9bN7n31tKduv;mbr|A2BxN*onNP zVLhMJ@C?iF6~~h{2puzRU}Nvr2#WHnq@;Vh*i?&o+Pr1gYUxh>nuAO8>K7J`swj>L z2*}Y|^7kG$b&0C?j zNWV+S1GB=n9OAjKmC&V`8hR6#jlD*)=B+UbeVcFd+we9VEyf`6nG^FMar7DZQkbiu zD_pT7fWG6<)7m7Nw(G3IBptzhmvCHJ%Ez~r(ewh68ntn>+ZuN1f6tNaNvhPsuCW!x z{1q;0Nk(AbCm2Ui?A;qvU)U$Z4;)!LiL5YuXjv~zQXhm_W?>#nT5 zMKjYv_$?9G)txgM4qA7e*>&>PnEkmGItP>q`gaZ^ZDqEHNEF(2m_2ZrTRyz+L$yOuks$k6ux@s!=D^L+CsK&%dvaZ+ZW8A33F9^ zx$5|x5u)?(ABMj;jI>9kd14^L(*G;cwDm81BFKeOJGZg;BBw2VH6bp<)G3Y z44JDupWe10{!NGpjx2&(YkmPtD9a($X|wi8cd1$~NeJnJP>RhKJfN$L7>0MRhcp?; zDFv_SQn-*qNvsxGi}j*X)wUQeOosBZm1Yi@aU#J0nvHM~M{z!ut;UQCO_%64X<*DACJNl)V9SfNnnX7-r3A9pt)2OelJJC!FRc zs!b?bSe5t{D1I}DPs;0w|A*77aL`;#BYH&#bS6GNy_?Pj>~7CXo2rSy>6@*}iS$Y& zW%EcWK7mZ-hd{KIA-33ZJuAj%j>454URv`gt460ngM^T-LZn7Vm(qh@)$zd@nJQU6z>TBh6`Xd43|dX+79ciq>EHGZ?#i?gJC>PdIG%; zK{*mrR4x25S@`#L9nl?=h{mF7bAyt+9wn=dIC90H5#Qhh&vzqkW+i)lebeRnTetYL zw|6i*8R!O1IPII74clVr4NCHcl(ZOy%5gKO5$>=#!l|Y`33d4v*;F%e3am={MwDjD zFn&-Oqg4mYg3k^Z@q{e_GvfDlgw{S>lk+r$OSWo46=Zble+>#{boAzgrahN``Z26((P!fI9xkY2a zPVfQqV9g<*ny=WKW&(maiZJYb%QxGucuX!+3nKt%h2E8LD+jbE>2j5=j@{EWGQv8V zSiG$@yV0~h9)6ac<`|A~P-(R!n+Bvpt$=WjRV{IliY->NJ-E<0V;Xf9;EhDKFC5%~ z_?vK?14{EqW>$@7ih_u4O(F|M&QF$_jR{HnqfJXl4IggfP|`Z&VmTw;K@HZ0aa&^W zsanP)64OUSYnSGnw#7Z%&Vi)0J%zz|nHud2<@Q8j)0{t#`2#*b+=3Hb20VT9cn6bq z$K)oBB`?(oh~^HY;f$jiaXT2oXM9J;kk&)VkRhlL<9KOR!gr#ucU7D0ot^CYb5)l$ z??O!mI@0@J4NY^2z&2w){Y*?hw$b5q@cHSp4Joj1Mki;Lq4)4Rd%ICpwX{jKbjn%} zhm6L5EtT(Phm|%R#6hAkV>I5PB)3qKuHx|&pSgPLIhoIrqa?_~6+ zE)BxA!_sedG{~^@PozHkz3h0B!qbv9>MQHraFT;aYqe?)JgKuTlI1GI5NPA z3gS71JaiMv^($|$?WPTT97p1H%)HU@GG>K}Vad->{uYpDTUQhLRhxk>%sQ&H$*&}g zN(C1NR;wr2QwhtSxazytz@UTWOGHVX=HO1j2d3X*Rg;ETeXFV>q|=GS%U4ZThGEi( z=dCf6tL%B-n8f1ucgE=YR%TSvXHeQ^Xbm%iZJi}V%ADyC((dGZC}K5{m-2y0%v53u z;yH^v__+WQHt*%!fWNUf!VdGjyQ7%wE0DW8x5R0CUMS2;`W}?#ptUYD>pW%~;hu-3 zKPfva%}T#b{hL7Fw@G(Jln8Ty#lCyBGuqdlN8W;Pw!^t+(tY8r+qLm;Hb@G!LsWXY z#-g51=aKR~E|KUA=vHqT$^YjZ>)A=HW9AKZ?A-=Y(RNA8(QdwgFc=QF{tfrjyyKdj zePj9>LT*{&J&9KWHb+YxJctWUJZ-2gLsl0mSQw~TmGB~kH{e_6Q8$$^pE%iO_T8}8 zVWhQng;@hBiuo&yfD092^@)X_QtVqi85pjtaE>EM>!=!Mg}Gsg@1yvoAdvppLnd*%ri*5OjJ?bP~rg z{))pn6(5`4>6Hx|Qu&QBcXVaYe=gxT9W3^=FLlNI?I`rRq(l`AtvN{II&BD*CbNvvPe%VpDzti8HbkV97ty-#YX&h}L0(t;}xW-h9@fs|lsehn@Nb{OB zM0nAn6dy!IdQEUd5O)Z*=6lFt-`|hPG@QU;IXu`Yr}gmuz#(T<>JOp11&5TP%k1Kt z$L66x^{V%nH@Zaj_u)2dt=gNj~#h*RAsMAMy2}* z>T=4W)ypp2r=g9UK*%MALt8A571E(NgtRtnY$dbSxKJKNl6VMAM0S!;yz`~U{r9Xh447lj31vU zNP2a+imiIfoyG8Y2a{GavTHCZXb?0eBCID6i!0xid7z!}{X~bck$;88eRTX$N1gu3142wq{bJX<7C5=kM9$WZ0$7giBnozU8%7whQg=R518WAwkm z%N*kjJ~zG9*2m*eBQG`Ui0$QMW8fld5DUog9*l6HA+q+j@J@WAwY9ghlV3nwdQjLigVVY9<&%UtgN>Oy+w@O!|NPHTBwaIT79Tc zV_qn)Ckh|O(g`o6mwPQA53`X5tVt|}H#n%Yxg}w;`_i~d0;QKuON4JEA?KE*85Q#6 zhZrLKCI^(}j&GP&2_{#L4U zWbd6>l@w__Ix4))k<8*#)0?2OUAr*lH|RAR6B63niN-N(#rJFH3BJRjY)nFt9m7z; z9Lh8**>_TwL#Xn;b354gT~77KNKG~Z24`8Ig;`2K$H0Ae^h*axy0-s5x+!?)pW zO8C7Lt_+?SBHj+~bCQ!sY|{r%W>uo^r|1!=;fc2bdgz5^WPSaBLrH56%BH8^cA1s{ zKS)6KeoaexjLG991gSPgGl)BbOaDU-Gc9aC7cj=W&H{sRtF|rnfI%E7BegfWF4Z`8C*G;R-MG7k9^_a`$u&RLa?y0y$0`cG|F~ zYqrZBR>gXgnixMpMjK^U&xE!^U{T%c;gb$4&A+d_epZVrY(aKx45)J3g7_36=--!v ziZ>kHQ<-P#(+**BBciTr%rjNBD)G-y+-6`Ury#b3mT!K>IpLRnu=e8)> z7RMLKfuE|^DLZ89OHMy+6qWn0#)2BEr%ipC(p>)2I!M0s5%W6cx$>~U@)bvtwhk=A zc1NhttfD&kD#0!RFfPR|SyrmAIsMzS#-@7U#@AuZnsmNS9X^a|z&y3l3t~V_GZ&IJFrf-nZuE`^UEkXO+@i3=vIh?yE)q%GipHA1<*9r>r+p4Cj zH*dMKuSd^u_>SXBtEOf*p$tp^yVB>p6oPr5hwNJi_2mh+?#7VwV= z%=I-!Eph9S{0BdAU}=?9eQ=#kY5tU&yfj*2qoc#moa!Bts>83X<@Tibb1GIk z(9+OR8$6aUAOD5ZKR+F4y@Zf{NuKoYrK)Y`%oeTk6{fZ2mF#Sm-#PKLIP8_optX)Fj9VAT z?+L=OWFErI7f2u&{k5q6KRArECC1#GapWauToivK1=sS*32TuDe!-Go0p(8)BCTa^ z$Xi=7EPy`~;5Gp8os2KrE(6SEETvYARpev(7ss~@Q`38OZ@jig^M6!NpfB=Qevxuh z!jq5U-txaW#=~n$a(hzzI~6(bbrGfJ(hL7^qG@iEhGn56Km}TQ4xfDrm z43hddDSQN}mTXxno^Nt#$8=WG#jP5*D_ng`UIwox%*zmyd-34BsLy22Pa-CuoX!5S zjy27NCtv$``8AYRQQCx`>XxQEPE9UJ8S9bbogTYe%F6M^La(J0V zsa}PuM?e)%lkKk>wYFuikV6d{3vgEthL$TI=RRH4VWhQKg=wpaqS&k?ysHt9Eo$DV z)V5e!8@>7=@#QuTp`pr@#CHwyT^D>c`9ZTKKkJXL>A=#q_sFPKn+l~2q$LFbU5h|m z)RP}^XLKF5Vz$O>JC3xmtZc={sp|HOh9!R;%5!d4-)iBxjt8HI>pGBGd}eyzSG8(5 z)wfDdcoY)Y^$4~BB8?4I_CLY~N0yeoLuQRhg|Wsk`yYb3KB2g+&yTb7b&Ji|KB09B zc<$-X3O8_o-K47X67gC(57s1ILEn(j?2;=ZEu5?~SnV&YBkS(c+VUVA;ULo*%=)pG zvn`Mt5rnsT)uYDfCmvsUV@HrS25)w#Wp<^06RLAOpm8!U)k*P$pBS@_Is7naP!NuE zIB89%jN8>xVX~3{Z%RPxUSkHj)3~yGVh_uQyg&@h3O931X&0$xxAnMfQQVvq9G6!P z^)Z*-h?5qcoqmhM!-%^VEme@c+%{ZdPJoJSVce1!8-UUHXzFC2mV^0EKK_}8ppGIG zpQPFT!PaX3;Fckd=orlNB_1O#0j^UKg?IOWObOcSZEs&!L!Y8Th0$If}sU4yo zj&TH&onV?bH8?JHl7PaZWugYA-itPflLSU(mh?ZcPFPUa2NzInpWL4PvzEr$*i<* zPi@|G>eR8Hm^%>0b~qF@kH`ib-_Q$pbO>of-nzQaEK2lF z6ul{Gpo_g=I2#>%ptsnoyJE#O?nW44{S=ELcnbL!qi|=(k~Tpq?AuLP6sO1u^ezPD zV_6N*LYryZPc}NJv<|L0Kr6E=^-WaY0Cg;DHAf@hSqYmR$SgiIeJmGSxbi~IG$D~~ zA({0lZuk;?q6=&2{kJ-%w58UhK~kY2pc4qht~PI8@)vD5)EN}M&GDo;)N?ZptypGV z94C^4V-ifPmV2iU1NW=NOo*q);J*1Gdlu$K+>1TqCpoCJ2q(?c*1HQ!6SEdL}~LA*^0H4CDN!Emi*l)Z&%9w)c_3bm8G>&*x?Y;oJkWA za^u3-Nenu0^ISOAQU`?HA$ViBwh~Tu6luL)b0<)k7Q-$wFaR@mC^GnKhKsT-I|Em- zU`Vs#VA39@+^$`gyws#3u2aaxOB8c5ZaNj4Kaq$L4GrhsmNsXP<4LQW#vG3&(}I{0 zMC0@_%sPm))yb+otC{LsrLI^orxJ$wifjoti)uN|$)^oXYLquxF7%d_d z_Cjl9t4;87+etB}&z!h@CcZ?iwXv@|a3E7&YDjBDWZr5(g=t!mh-&=;siu<57IDpwDEqj zrXSOEYzo97xb&~y)3LSj@##HxRbcWxJfA?!QWr_DF&Kq96-PWuZ#hE1C4l=X!vC}6kIE=Kp zgG^c-s8DBLFpGq_3}Esdhl3s}VXsr)h`(sQrKeW{jY_glNrs6mGR3ZK=ZZt|bDZep zVM`&3jZIiz;8bH2Z%Sua!uu%9+pe5=0^0?(LH*q&oV}tx4wr)Y$+_7;>+z_Lo|l*KiO{f3V$7Vy?IoPd;@vbOuOvxN0NQ?EUaW2b$*b zkX5Tw6&fUj^dus&d(thLZ+C%#vD9VZ$qsCGVh!qo%Xa17pC}}}rx5Rk5E-BNXE9)O za>Yo+@KgsklLVJrHoCk-yEgwH(-GU#$X4%^K#Ote%9bT0g$@7Xp#C#Xi9$d$PbUrg z@aQv$XF0V_iqmi`IIuH&hGR*)tttksk}B_1Bt-K}(s0C=yB4j%U{i{9hz_!;JS-yBwtLM0not#%Drr_Lyc+4zmW2mK}qe;oWnz9=ptBxq|d)&^^ z@EXUEHr$ul`u@#n2um*-EzY?*NQ>|~2a|U1YB!Lj{A$ch()I zEJIw8H#mSar$EEz3LJ26RweyLN^`ms*XUb2he$yL2Q@q+Z*sbK!Cy_kJ>#l>oPCVh zlfBIf}_4D$^V8XjZasr!1Xhm+GTdhetj=N9wTl)AfP z0tO5@v9qUxBcBin@-9b^R{t_=wXXsmcMj)jR0Q^Jg4sG35+T4nh3*UY;%@tQd5GnZ z_c)p~S9{iqM{9;ud8e>1j`xaV?{Ia5pO*IY;ilnmBD~LWq>UqF%@9;@riJi+B3uL4 zXzWlkv`p~DBQEv>4kFEiTi7#WLp>?B}QcpYBj9&=KK3Gr2CkYpFDt`-ZJEt zCH`@WAB8$#_r`U@hUEZ60asTd{@0N$z{d2p!>ia$;@>off3XbWrG@?pqHlm~qw@#< z11_gg_@raqoy3}(HORa)GMexKG^TI(_U4;%oUux?}5 z{d^C9Fbbb`c>kS*C;LXH!c;L~eukLz&*i5dR8CvqDY$LS3D`$|*5RcsVH9=^uqfuQ z&=;3v1oka0Cy`e4njQYcRC^CEVKa zEk}_yA1aL6Jx~mfbR-m+y}UTm8xhcMVscaLNprfKw3xSvB2YsA<<79U0OhC zO#-AEn&H3rHz53cqp?X_JJ)iajqyv3O8m$QDLLepPYQ! zWV$eD7osR;^T*u2Q2tC5cJ6UU+|HBisP+ZhycYiA7&hYXrdNKnWcoEmCHz+j&(ATr zT`T*wfH1$+@HZ!%Hmb->m~xF(DgT|yjP;DpFb?Xr##{-}Ber{p1%dU}978CvK#Emv z<~I%ha7?Mqx_0##)*(p>_@4ykB3i!Gk-zBRtncOCd3;p<<@nMT(Q-?%*09yd_PXV7 z7XqUBH+0sHw3#FC1y&!=Ew=K7)^^+* z!8|nkdh6jrjwY?ipXiLpObg<|gy8Iz(+-A5tYG(#osha~r=3nWW62z{wI3cB7B1qT z&c>&wKV#m$Rh55pYm=yOFRD5lUx6IhaCj8{%i*Qf*~BHt%(NgbMhNg^g;UN2P zai^Zv4#<#IiVE>?a$1$}B`D0U2Z<>*TZXOPe3q1g&1ATw6W^G0WlC8tYK%(zQq-pZ zV0^F}Pf6W@ahs**372*lX+GZEu2n)_%7@fWMO>F57k=`SKDQy}i~fK66)x*o(x#gE z0iN6)twP1Hp&P%Cg*_pCw3YT{vX{+?IYIUN*PE0OpB!qMYBC+vpXozCS z^%WgYT5m0r#-oC3=*+%gu0)ti0S0{}a#nVhRuIHJI3%?3ztJ z&?&dhdowS@#0gDOLc9hMxl+T17fW);+?hoKF_2KNTj+X5;hK)FokUj{?!^-lO~fj% z_+L$$!n_tSIUB3ne2)qY*LG}aZj_08`e9b`*HJAsHA35Ya$s!huIotBe5JWztC+mx z+PXqUWY;4ZCy8p4b_^GhpPfsbv2_X?98cQvh0Ga_3f{ILu1|={#*w8}Ow(`Rls8Vi zU#72I(5NJDNJ&miy{`v55C%BL5W8lMaPnzh0@<@Ku7Vs%xp86Kh!~89$=7qc$oSa~ zH+I^SJN@Zj-Ku7TEf~W;KDfUVliyh-&Cf^Zq`^%WIs8F>mfMW%K!2xzRw6?Kn zuo#fIu5_FONV_94W3eu34NL#l)Ynp0b$zJ1H+c~o~i!vSA z5_AN&lW_R)$Mwzi86^`=b~I^0)f3L^i*}{Hi|V{;rFQJ#D%-L>Yj6dJ77{z`>t)+c zb~~1|n#nC&)#N2+kFD1c+bLwL9Xr_=ChT!I|B11aSr)*I0OtD(3%qZ(;y3Dqdx^2_ zD$E`hfQ(sns8F>mfKvrf9WP)xcm>=0d*QUh0+2BSP$7;)WLW^G6M$WW?KmDHj;wqZ z50(uu5ai8UULHvEniU2OqbRD4!Gme`g>nW_=vBo3uq|a{nNXRX6_s+P<4N->%Bs<* z&>$hCvxtPBnw&A{0mI!LNLt@nP7q@-=%j@F=3QMZ7@o zTyzKbbR=n0o~lV>slHWJ5mK8-_$d~;Y%wbIR+c)*%z3tBNqcJZr7Xk9OJ&Q_?@*s} zQ1827W{f$fp5`T!r6`^yD3MD9W+mOFG#{7x#R$ax4#T`7NSkm?UXY++G4#m5=}YPO zS7c|y-b*xH-R1eP-~iGtKtqpGwk(2065uCak;ljjhb?#a+P0jq*XeJ>Up9}CG&UJq zlCKz*bf3~(71mrZ^EcOK70Fz#I7ICnhcusr@NZ&xGM3IH7Z&zDVpp7KG4grI zaZR2lH4Z0p*PL0E=rTp=s4DwvR%xbvh=-G;{rLCAY7Z!CByH`bx=C!d`ExKJ9%w+j*Alx>K;jzBI}dA z619pV9g&oSv@o0-#^9gO+QZlIaQCtRAkM9j%{i<(%F~i4%a-jvF2B(rCA>A_@rqWH zX7hkNCVoXe95j3T9adUajpkhp73(57Kob0nw>&)jIvjKi8tf9i$G@Z9xxbU&nRIDow6eu89ppo7?$1W^-}SsDXN_d(RXBn-|YCS|FG1&O8bV5fInk{&)Czi)0x8V{ic z17GA)&U#NAU&1J=JSP{Ygz=s5P=}D_sU5R#Kx6MVsfzbuqQvI!yV_T zNmbQ7)NtNT{(L@yY@EDSV^=w=!L}~giA!7d_N-#E^OxvQu$%zB@I=RyHWHBa*hXZ#SEon`@kvDFO<(E+%TtdhJEF9k zzM(TL8J7N2sLzo|akQ5$5a8h$U}_A97B<2?)j_0Ps=AZC#%zn@Y2@JA{5Z#QC*U?l zwiHK^HVd0Xky#eQ)5&l-Fyy2EfW2&R20X(lPaYghpHxJ%l6@v+tC0{)%keBHx)ET_ zlfLPqOQjT=&!!}2-DOY7792Ifn71qy;&YsS+W4Ss(4L3#8&w5;|K}3M9)U1CuLmdH zDi#L-GQu%C+*k5E2a>jUSl#1-QFV=J5j>v+913XW(J%)_`UEUljL?j3=O(bV$oB%r zw{PNw((K$zS!MY*-Bh?%Uti*d{1RM0)DTVMzR|fz*YF|-ndTIiso1hPFAnWW{KXW< zPj(JZ>(o6vhAT|ZYGL)^C5NRRPuht?uk3ZzuGC*jbsJ%p4gwAB9`?$HmpSRQd3j@= z3fh$H%PGqY3FXzmfWWfw3MYE!q+6nC4Ui_K`ATXY33C$%aERnWuJCw!zRI!OJ&ENI z$8jY=k-nOw<@?cYW}Go#`TbwxsLsdzShg$i*HWB!M0G4_=^9?=q&KEjNKF0^+qC#P z+ulW^(tSO3IS6CwnUjaBy*Zp+(&`PEzOaq%mtj4)Dc|4_(wsGwbT*B~h4MzClpT9$ zTr!VJ5zv9g)}{7-lSAt!)s7mj$u64-x}ttFskvsM%$VCPF^o=M!&(>*rol|^Esis7 z%|ce~GOExZA*8nw>Bc~cldGASc%RX@*~{2l;D7|=d_}kLHb-`5QVou5zKF#b+#<2b zOOq4j+eu092Je!Y)pexH#BLOXxvatFI~-D4dsMmKoJq;Pld@NUY`G0wL6m(vyvvEE zwY*J@pxKn_yQ#`iYmG~xb0FJ<^B$+4=0BV4TL`i)lJ}CNG-)j-hgrpn*83bp+D^x; z)ta0e2IfWaep1lgIqncxAMF?}W^>e54@ZfH4>+W=@VVxJrN%2`mhBN5dv|6`PmCWV zBS-l947eC|jLhHjh!I7`i0~mtmewrFUIl2(xG+8}jAG~c>|UFe^haAey=4qIKjJXb zu32HvK#HO>FOZK4#NER&;A?I;zaBp3K+@)26Yk)`wkSSM3U*j0bVlp(sIn0g3nA=e zG}?@#xRyF|2x|IYN0Juz)q~A>JN_(7tUpmiNS`1QyMVf>!}4&%y{gN+PM>s8dy;PC zvQ@iMsaTR6ieUyOG!vbCV4|8qPWldjO%f?36=guh7P>G64N`tmST z?hguIa!~DwP=^zrH>N4(FO&He(Bn99rOV)*IKDw^aB#gfS|4G*N((vq_YUW0`iq0k zD$m9IiUUqw;maiKvL1?}aKB1iI&1P}my;|xP57E4N*n9Qit(s`YfB%hB)?8cww2f; zYICd7Dc!bg7t{2A!vUm?ObeTaP!zZ6An-y$K;I-#Y4DLvNMcgY;lA)KN0R0|Z1$MT zu=Kx8{c@Mi#Z`?pVtnp*970+gP2QzzLz>lz-W^jB&v(h=RumE49lqxv&ew_}3`+0& z)Z-MlI?Kdf+Z8OJ{J^PB_8MxOHKF#+th9ef?G4bbPddQ~IX7@HFN@$`KaR`q#l zS2=@5AtI_DlZuOv2YPdJVR!&@55)f2QHN;V%o&8$#{=Ofhs9JfYE-3ijfj|jN+w$e zL?$)nP(z04pE>>GfjoT-T=gkh-W)S0rJqxYUWeFAWU&+&*bYPZg;PwM4UKg-Wt)=y zC1uO|`N|K74f%iN#M5p8J#U#eG#kU|T`wYHVF0?39__g`+6`ZsCTS?;}oYHT=T~r!8aU#<*WQFH|fG;GYCwD^yxiMDxfjCE;IA zd?PuL&1CXs@rLEZ%&2t#O-Mg!TWvHRSVAaqXTM_E|MMz`}(bTyJ8{!mcleP2=ef= z)ZP72Rj3zJg=OdMZi(XzjyGbm!fdIbSp zhCukKx(VX>#&`_FWgSS`CCdE(Mv|B4706AC;BqA3AiWy2%YF~xFqe1wljDUoNN)_= zjaDUn1xlB%2Ja*E@vUszRaS-JiVh;}_Rs~WT#b4K0bPke>>B9aVX}_>{oaArI{yt< zb`WVDV#QBXwJ6c6P?WR8u{B&SZ1%a;{i;qo&Cxk=eOR_daWztK$$-_xZuz9yojbCJ zbcA)eHrunSJB~EZuPoYyP@%@WP_97~-WGY&oHfP>x@q%hZHp~K?i5Fp=19nm8ctrS zl@QUjNW^#$g)(JX@wZvLsJZCFwH-~`a*7NZj0)q{1#%sNYye2p;@4>J+Uor9z#v@L z;iNfO(^uIfB(m#~3_qpAA!1I?Y;d!|@uc0t#mNs=K}E4_TL{-Df(@r_!GgI75N6Tc zhdtsry219o0WMM-e=`b4II91~ho_G@ zbMpq3mo`y-^N7Ssd(>-?$C#r`VJE*jNN7jr<1!r0aHzC3Xd{>;#j(8?4 zs$du1`fk34C!{|@I6lG%`e^-*bS!Dld1ls7rb&qDretDMtiD6t1;&_g48xfbZsuUp z?jhMT8WqNj3*+X*U^kQp+Mx^QDP#zHyM@!AJUyBo_Lf_g_$?{U<)tPUYla_MjwH=# zQdqURD2i1-ZYCnAqX@;7it6Ul=tI4g14)}V$&z8H5cjNBa;qIpX*x}#uL(ZyIA%S@ zsiv(PjXA7jPv7)d%8mO>kt~cp)8m|I+E;D%nMSkHzBRQu2FQ0q<}cQ;F0`N6=%V;Y2n~6MI z)>Cl>=Xl4M)+2kHR)7A@ijc7GKrHq|**I`pXV6_Q0t68(iSw&1`~};bM4%s zZc!v)Q|m^jd%hM$U{HFSs8=((jYs&RqZwe9hNM!Poqk%cmyc)d%jcyyx^)sF+Crjh z<05qCx~)x{x9miAG3JF|o9prz&b?SCN5`|(@uUslXwpz7*%rtN1Y!FF7jqVlTx>pQ zXK~lt97kIF#9|&q3T=Ou$2o5 zY&*gD$TaQl7=^n!q_i=L>=}#-e(T6c75F*?R*HE8mX`|B=8Up$Xevw<6XqGjwDpVm zxz=X<e-`C$fLg+|sd;N=T)w`$BRLHpn|`-<4{dK| zWoi2!q{9!-o8Qx0>>b=ScMcYm%r(St?0Y(*jY&kMBj;<3s%F~M=Kaj;>Rfji^YK(p zI`7VQ2x$ia$fn&hDwLdeg@AB6#Bu9u`-lB`W(t{e3~ANSu)dZVm2Q{1_;GVYIjX|E z)1EwYmMdE`L;LLC+4m@q6jfV4ib`Sc1Imi{93Z-NRKBIm{0d>^xq z{Vlw1FZT~(S363`D93>{Lh-w!&<%SXP+BB@*}BzA`Hcy3!t4{13wfn5vN)k?XXlHY z3mXO-qK!~g;@0-ee@os>YfGyL)X)aRRz51>MidQ&aAA>)2L7AisOMo} zdI#Y(;+=LV!onUAn_iyELepwzv5nY;uLM=Lr3tM(z<|ynx zEY0e)%Gs3W0cuvTbB5`#LEXsp-)6p7|wIziBtS6+r_v+ zY2J&Pyt;8YrIr2abi2Kk)o^d8nl?)7`HBv`w@gK?0Dv~xOj7aN0By5Yff8cR;B&`s&9b0e`aIWS{s574|K5I z=YbC6bbRPP)D(Cv!99p@H-b)a>{C2q>aN&O!Z4WlemlEd4|as7B@q_3?Sd7>2~q-l z2mv=hCZEl0Ls%H2Wo`Iijt``+M$&(|g+X=+~kG8J>kLyUb&N4IeEN3_CapJ%xS+Xq2 zwh~bUagqh?Xf%>09%&{$BiqXIzJ2?anVFfHnVFfHnejiTy6ZyC%vF1=|NGV(-79sS za~rCwtE;QsBMg_gDKQm(bWuMEuF`!Z>B`&^E>*!jDhx&~uOqa=J<5<9j;biVl117} zAF^^4{Luub`tgw-ndI;sa?AAay2ls_aqg)g(DxV#PU$6Fc|4XpxTa34HRQ;X`U*d@ zH&<72&yTCEyT=(?%TYCx%0Ieh%R(#Z$CEUVDO!tKta&xyVM#8pb=(sS-E*VpW+h8i zW?#^F?*XOso=AFhiQ?GWdbNqgsd@llw0gfEB6KmsJ;_j;ilUZC6<*0xZw%%1WOBMW zuE0I<6vL|cs6`^LPXuEh6y^0)@}ifY{iAD72;My80OU1q zPcx+EqpHdZl^U}zWm70YQesahF)C3^q?udIB%9qc44F84C^I7)fr|M|V$$er!D}>) ze~4_8}NRrKc)y+m|9 zo=9&=azxRGu<))I_dG)+ZthIPN);qeeL$4e^T|q%gRNCs_?WRT`dK|7yasiM?@K zo@gRHQlsoMn7P*&^tct5x0rn|?==TwAUFz=SQ_eB46qw zdFpr8SJ9N`>&Y|S(OhBrp$c}}%lnd_WVUc`Fzn8aV&{ipDm61U)0YNHslAcZI7pI! zCk9p?!LIY0442~3xwU^F$W`Ds6PUip3)@)RoHaW&ISR{$N3@sx)xYj7hCp1;6>(An z{RAt6w~_$|4&67|Bq9>%>fUDHcjGU&9di_dEBJc}PN#8h^i!vl{mrd&4p)@F&(Mh5=}AO(s}}>HY~D{c zGO;GMq&Q({Ot#$z42!tQrrVlKMJnzGiK`3pd`HQpP}*DbhwwjSnA~FNUbVA_(U4+6NWOQ*k-{baO2dFWicVzS`HnuWXLVe__$V_sh{Od?&-L6Gps z+x|GrndE%@B7tR#ac!wQjDNi3hd2JIY4Ih49%+_Bk|1M0y_Z=1?l0?iCzrTO7AHg& zHQZMWa@+<}-`nyiQ(?bKScYjN4wPOF83|`{Uo$j{J3=Bb-XkM0%Ixc8hJR)mxVGu) zE34?1-!N>7CvP3W+WtK{gGyEc-y{KAx!H9YZ)$YkGSG2TWxsV9MJndEiAm*^Y=|TK zzA6=X5*K)y-+jm6$Hi2tNcnVqV0M2iU&(xzWSBxHY092QkT+oa!#7dGMPXH>hWMT# zS3G+sqWkocDn}thsLI1UfGt1e0hR6d$(B||%=O>(b@v0qa~?&vR%?my*o(&N>q_v4 zB-riOfG-=G(*4NLiJKJ*y0e$7;6Elf6B}k@b&=o8ExDf<3(I{EJpQ6jk^tzye6$l^0qImGX6Cg(`qv*%fpSWzcJ+E zdP(1O5x40ntnXy#9b>s(ZK zN<@d63p%#|NZI|F?AYaX%^v!my?P5=Sq0o*497|oM++cS?MpeXx1L;Cl0j9% zeWf0qTIg>gE*U4B?$w4$cRKXl`FDX=U|4UqsBfYaVa~&+AikVUZA-Emt14mamrdJjApdv7l^aa0N0zS3T}xu7hd*GXIdQOZkJlqM;Bs zI7OI%_ZF+@S0eh&fu1@P(x0GBNg`qCRQfa~_eN2DK!6>n-kQf`r zY8F>nsvmJzHDux}N|hy4^g&gY2v+#35uO%<4OPR0!=zMnpNLy$akB%r>eUUM;^mOm zjg>95?8}~jO7j||c?;0&n`?ka_Yt$!Xt`?|j&bdm2o`e5lTB%mz$mk8kr^i(s-+~y z3bvdv&fT>Ql>ro-5vj1(AuRr-r=>d=*VmVuk{}P~ncZ~_bliyUb5c4lTRB{h9J(hw z#^<=}8~ELzy7hXr|Aa@OihBd%Qj_FEEIQ4N>MF9Vx*HnoxG~c|#zF-v{*8!FW5=v5 zFs0Gnlzpok8xDJ;zQ6ARBO_W_+=ML35Zkq6nyatXmS&nAI6v1{Y$ix|Q^PDS(yR+a zhDq1kLTF`vGcu>8s&1P-mBr15UiMfr{NgNC73Eb+rQTR<9>G>eDp$d8PH@`wiLa)o z8z|=lx`m;1L1AMif{(%pl!a5Kw3=j8HZQoqS)gNi@3^Akx~)*pmF6{`AX(? zBy&ZOfmL6wLdj!odV2#M7fF`)Ii=zh=>#ItGO%|B!d!y!dH%^M~3KY4DzJutD zp#m}7rG@AK`A@j7P#m{q!ys;o3G$@E`^r`pJIR8F@{@f8*#=^&_;zKjb-2ESb?AwP zN8B!8uMLH6;Y#ErB@(6yMqnZ*ibQ!*)zpyH(Csor;#RmlCZ1l>mC4CuB9?qMK`rjx zah(pX13blWh#QQWlh(INFTo0bD&e`0kUfDyzV0-G95)IeMnJ7N#k(W%#MRp<)08eF zCB$Kz)pKj^bORU{J!kCUn)%4=tHu|5y?v6Zdy5s11VkIgmjOb1ZB6_?KW)U)(1gyN(c2V1IhoS2uf#IYbx0q z(k%ZH$l)K#3w|?x#ITC1sYLRYn@%1^sf{W%AEbaN5QJHF%ERHmo#sLtTkIX|$Y6tQ zuc3Bc)M(60mP*UN>ItR<_mLp}M-aTb|Ez)FRhHC-KI8-|{Mm%3)`vr!kxA3TA>;_p!~4ektFEx44lYCF zy=szN(~TRB7e%$(QnN}W-Ku&~enuIbg?`WkKZrJv)hWoecCXIv&M4H)Wp|dWGj(#NTdWJ=z5&;%ljth z=UipI?KNk+ydHkxW(=9Q*dG-u)uIpmFqG6RNpa%q=d*zzoL*Y4;Hb2lGrZy^zC^MR zOP-8xD1)Qi=E;qV1sRQAX`X8+#F4hkq!`v4zk|UGJ`Eb9kd;FRCWs>PHiWG zr4o{--0Yu)QD*0p8U7`!{bplHSL<>p@B%|8&Q+o!gpEEJ(MsX&q;M)I(At7)4qBo+ z$pEiR$8VNKWvc{(F}Xbc9){o&ByDZkMQ0i43#|0-N%}OOD)r@RS^f_do!$U`FT*d+ zb1rgxhwdp>(HDqb0(xpq_>S!T!g2-O0{n&*cW=WZazi7rN`%Z-C`zkBT68|<&*LJw z$RW3Ai0sCnZQWq~&*M_4;#P^vxb-ArS&uq|An4JHHjq$i$xw(h*b~j+Xh4PYXV~XsdQI*PhDc_&Ziq%|e}8!kR}g(gD~Tpa(2r`3S4sWME67@gL!9ZP z;$(d2gBr#vTS;6*5>!_?8}5iC_jd+9?krw!%S|LIXq%uscgZwoOq!-gUpodd&Iaj9 zmKMY*+y>#;+SZRsvjEv~j%>O^1~|@KR(W14I;I&*Q;Q_RmBwMx5T9Ys)DFu?mC$xa z43Ri*ai4QVxzrINU%70O3(YdDP~bJ{l(8tGHlNwR?y5s}s1{;wzexMM7};R zO~D>SFb-0mu*Ls>3ul8LY|!o;h2|?t@QgqO{2u~x!NjSwJ4kTUU;7j8;(Lf8aqlP+ zsbnwOKbSQBzgh>lL@uwRvi_9?{#$y?1vh{#Ru~e$^EA4B!Dmt*v{c;rT!ne za*fVUXUYYwM*MZ+y>$;W>~-wi8dTqrr{EP3}>MqWw7HW`yOYZyF@F8N0S4$Cv?hVYvIgh%RRO^l0Z~@ZBr7Vx^jJT(u(3~j2xq0AWr!3j zqKK3IiD-p?HsNW7!gv+OQdxTPOsx$+B=-*S-aW_Ah?@@*iBccQQ@4EO@?3H`30%A; z#bk-FXmN;o^*r4~Kq_t#hpL3Tpn15qw16qBQeSVo=NX2JQ7x9@2*va<5>|;npTw^L zNZp^7J5y_`ji!5nA+|e;n931a`j7}!*cTF(t_;K^_Rsc=WSM%4^NS3bVxvP%WLUG1 zE}a7@tT^H#@s#I_$uqm)5?4Xkqw{+{FEPyG<{k7YkPKIQ>O+@srSVeIh*ji1c;#h= z*8g8co(pVwIoZ;xv;nBOq^l2HTZug>W?+=kt4WD=R?eRR4dPy7c*NORy}cQbr+}{|;H?0dDig1~ zn6{Fd%fDZ!FE2C?y4M*J^C-BrX_JbUYDgdZBPqStlOAo~Rw-5K2D_swrB|F(DpY~rOkggV;eRYwE3G;l z&+wqSw;0U0)kc1|D=$(J-%3Qf2z2v@hkrS-`b!GlW`HC2+C${19|qweCs^U%PIx+z zX%FYE*JQmHqJ$(qsO{ci7~LzX`c-_f@!A_wxxSNJcLGk$yEbxkH)>(yy?kJH-#;kIICp;?-g^wav!ZHLB?>)#zePMRQw?n8!4+zKiY;#;)qdN+}+96n4AR2!KctuY>)sJ9mz z2i->ugE+OJvV?#>%vD?}Sm8fPcs5J-=3WPB8Aot2=P>WRavw89;+iFqDom26WCJmW zp`1QWPMo`vicEfBt8^}QpD<+NtjI)4pLX%WmBlB?f)jk-&JK^#{~u;owR6OM#&EeCK4NQQgS)deZ}$5ivoaO-vxH^S zsM}BSs`?)TV4&mN;awgzFHOO|NU+<7 zFZOGr?pO`(o+A2bzhCOOFBu}|M>RlnfJPooiGGQ^N?5K<*=pTRK8A4Z*+5ch_@=zo_cg<1DXMZ(>5(4%E?_16brR-G?l*sYTKV#R z9}j?w{yJP=eZ!E9({?$D(v@>>@)*kJo60A#8-tm*fCwobUS9*BZy7#umW4_bD*7MDA&H%Ax39Tq<@gyJ?z6S-0^$x}ZR<@H1I3U)pMOzAuGQLWxX(3XUd zck)ao-jWFPXc;S~m7NaT6ACo3WS+ejGXDC<3X`t9o470dtyw?J- zTeuSWDT(lKpN)uM(1-h(VGy@*tD>Z4^g$ynC|ALMPH@@~-IkBfP&renw`*;=&aCBr zVaUYU5Q%7ElRPCRRyUBc`=wS*_Bzt!R-j)QHj#5iuPaVfrUL((z|=GOSUJ5y%>Bkd z#~Ho-)oTRt9s2(X_m*wA}9ut+<)Xij!utFAIT{_U}oXQ>~v> z?12Ni8Wx*Nn@FyK^gIl@`hy{S50u^75X?&#y7^an=%5QwiT;s9C0fEJV312@{$yyy znTT5^cc5%#@Mkh8ii$*@jK=5fT4lW~tyOb>GgRW- zaj9CCc1j=f(v`;FNrM9qNw)UjLd}}P!EA5&v}(13?jMH4?x+rv$=KCHsAB(<*!0TF zRA;iMh9kf5bs)e2UDpTj{>#vbo4FGCQYFcg{NQu7_C!;j|0Yj%o!*@unMEmUzY0of7^lx$jJ zmuVFS=_L(lag6uY8RvE5a1j02t?uv%TN)!+1t)olf)(cx{Ux~E2NvjJF@t4b< z$CVAc-BIjRjx>-yBtjMTDufkB-YR|LP-5j#ruc;;Zx)qvRRbN@HGEbx$`bJOF(X%xRPs7=CD*x?pkTNHAE|}x~m%^adTcG)Av%n&7~KD^0@~2_;9)9Wxq~AFyML> z7f||D6zzu<*W74ff4|vcO2M|freSwMR0|=EmLLc@eVFB4f5mW0^;)FLQI)7USR2rC z*EVd5GjnaNVD zwGvS|Qu+EYIXO37rci~w0b#kGPVOGHZ@B~RwSUKU8%-GuCDv4yM*$S1_yZ5TR>wUx~y z?xu!M+)}AWiU%WD@oz?aT5Y;-7Ixy=K5u`B?T~45Ap}*H45jl>dh1@4$lo&3D+{JH zZ%&#!0o0WNs8`;hrREGy*EeCuxmy^rar0FdinMFj+hT0xeoJysL*K(elyWw2bXe-S zTN$?JMpdmhI#sSv&A;jarQ~i+a<>3X?-Equ3@(r)%eOJ?4s0*GESA!{E$QK3*S0JU zz2V#>HvEq_q~aEvx(zFpr4PC%tFo2E?MQ;YE{#muJ2xG+0?N3p9djEzO}95Z;=GnB zQF!P>5AjOn1X3x1ighq($PD(A5eR{ve+R=SuCc6G;bmW1EG4(2A321XX>LEiM^OI% zN6um?xt%0O>j~!cdaXlyWlnyQFx`drqF<7pXqZi+#Ma6!l_?dLKK6i6LMM^X4M-@t z3n^@UB*y@E88UIoKNs5M??W2)(OUhc-H^+Ra%73tll- z@ET!i7aEK^NXCjnR)#gq&OyaavPbOBjk~o7TX#Xu7}M00Rl@y8VVq+;&$G==(um;mTu- zJZ=UasuL#mtG;7UYCEin+wLqwCT=2AslrAd`ame9vq_1~q}OSLJBMnW%KExw1x2=) zaYHB0JW`25M<05KS1J>v!lQ=CIlJB`_*#|2>u%CeD$dQ4NIaU8d&E(0Q{)CWZAq56er_Mz&?wfALV8(A=Cs-HkupT6<+sdk9tRd1CjeZY&#`?py=DJ=IOoO5p%0ToK>IS_#oHG!L@Q z{J4tF$0w)a6zO~-aR{>ZXxi?V3-{Ws<~lBm32l6VfsPx3DpC5EKJ*Z;RPIhHv<39^ zv8F=0hk=j#@~*?oL7c+flW?>JR&jq)dH=-FFb-|EHr>4jLK7kWOLO8BZGmXw1Gb9@ zSp(kNfW~#HbhRMJ>0?+tWCIQ=B*1B?JM4ldhb0yCqG1tdV-`kTsBEo=Drqq2BCnHu zYD2eV2*d?ls3@rfeek;8%T@52g6FNKjrB$oI%U~_7aM`PMbp<7^HLRhh0y8Vp}Jgj z2IdK^gEeHDF&yF?oOut7R73uifl*R*lHw3ZZzt!`S9hUd5jWsOh=AwCDcV7zm4N1& zi%q1YWpbiRD;y=ZMq<=~qu5mRKH+v5u8I}f zX?y&k9k*^c#aTr)NL&(UcDNF$07B_BNrxw6atD@pTOAT&whWE9Q!2TIeUdxRi&WT) z2ulUgFHmT#?VLf6n+Ott(kjW5i9;G|E0Z>voCqfU+~Hvhd;z~lJ_X!>hm4x|x$QcJ z-@PGZYqKDM5q`VC*qoBNXK!swB1r@;A_M3l!#d8>j0`G1 zr~|_YUOT_gK3Z%gf0*Q{mh+nli~dHdBZgq{wv&#>{#yxNtYU8xo3>u}afIbMc0MjP z=y9t>6(((}59vV%N>&2*A%T-YAhFcT%a!%&<^r5A$R1eU%ZGjbXZmCCj`^#6-Q3r( zD?U7vAoN)aMB^&=`;q&Vz+FtcV6WZZaJmzIzx6QaVJdogiuC|uQBUe(0UlFHuF2$x z7=wp-tKkC;cASb(iPBp7&_ldZc@U|v&n#o==55P}59-vg3%B5y8rePAu!ys#ObzrD ztqlH$47x`QZv@zAxrZ41V;wPGtYZH!vGtr+arg!LD>hG2DTs)9s3CP>RJS;$2#gH8 zlK(%FF9BMe1akLj#lIod54Pz@B9A;tW79M{2c8q=G(~ zpfmvUODOKzFn=>{D6hGv81%SUR23-r`rsF6S?NmTsU(tjHr3me4ia%b&A`VkOfqht z5XA=zglYqicZ!glelpU zXO+{e{~O^q?lp!Bx3aYls-^n)o# z?Ut@Y-mFA8VKMEcoFRwbHO)}r-ZBso6(~gXpXWZKiv$&WnK@eI;fu%g(PM)+uy+u@>ohx^mSo~mN_71})PDKYf z!lz57qP~-;bV(yT4pT}Q5pCtQgG=sR1~M)HB?uA7yg>xGV2MlnW zk=@JtPjQO&L89FPU))4y^^K)EI{%?EeqN9V9B4mON0JG@#`%z8FdtR(S;12K*%!T$ zl-!3&j-IWaF&cFr^8XRTDo#yp8KmK*E0d3s32R((*kLa=cj%r>^P(c0xcVc5o1YnoKd>ysY2%qU%H ze3CS{r@z2!cWW!<>COFTkDiaTd9@?;4i+JwGA!a8hAK@s=z|fh6h2J~Jf06jt$(UU z?^`~?fPeQH!zu2NZuRJLHD&;n>1WB5mSy1pl5-)SGZf<%O>(8pVfkbG+OIdH_G*dJ_bA;sE!145La^g{7j8(!1kPmFl-iRrakbPIjZP z+qReSOK@no?-*ur&IH}J^Zlz^tU`a6&|KZ*4w)T6QkGTsJ%cd-U~bP(0na9Zw1hC$peMVH*( z!^fg2zaNty{W@t7h&SqfV%WshM=!Hd?1F5X7+GhRISGehAV z6x&(}t6-@IeSp$U4yNQ$l-SQnjOKOX@5IF_urz*QNEG+St=*j>RY8AAQ1*_Z*q1fw zP`@%f;->DbT&a-kiy0HlBS1>+*QCawk{eCPAlPxgF;sTrueNR%mD4>$DO6#9tFUYB zIv13~Lwm}c_@FI+XJF%&u|bZYcF9!K-xHOdFz-C{|Bsn%VI8~V7@B`D&~ctHaS3{# zTyMDw|3|`eJ2N>u*(>>e8T5wY%XhE|*kQNcn;ANr#xvA>g8 zHWFD(J=|uxRyne;R#|cXFl^#hEgD}TZ1lm1Rto(IWo2+Nc5lEU%XQJFR4&bWxO{G=43(@EIqO@*t_vp zTPrG+BLwsTE+H>eVJ`vMTRTW3LA<-9;qm{&K_W;>?ouSD5hwW^(&+_;*m;m%lq`VU zr47&G;3(Zf(ghA(RvOr*@9^L7x&T*MUxuu2j5hK*AUGYfT?)P0UDl9{+Y88vl$OoC zF(At5a%9BtiEturq{aYg#+f!<8ACBVxXT+(aqBUA-mZ^yC36LmL1#a%jnsupW%>UN zOb1xE(kZ>zc2_hs;(U-^oYYA_$x7i$q;PFe=#KTMFS#ol__$N7i6~)^JS9OS^<;D6 zDvF-&LDt)CWF0|hGV-zvgx+r>G8L@fel?=gM(B#$_h&AzZt&wA8L2S&{Pc0opIH{! zO5qx$z(|Yi@`drr?wSTX&I#OW^+IuqcP-*^i5M=p(@X6dO+-aq+dvi@#;Pm|uF9iS zMZOM^^UiMS5qDh!8uy*ORwWdtXxAeeSM6N^UcsH~9Y+3Kw7b6Ha2^V7J*z}Sll1^o zhBqKXo=51rjfv#)O?N{>EpF#nWl9g!hpv560w|pukq-4hK03&Mqr0(T5oax{C}E)w z;Rv8a`6>8K2#$Z^W09@F%35uSJ9rcDl`;2>yQyIi>FNnvjlzI4SWn?f<7T9B2hh+6 z4jPCf^%Yn{eGb&0a^gv@WSHF@0=Div3L(t&AqG#$-kfA_AL`6ctli14&s%F?3QBG# zzlEWCeiYT{IH^3E61^pfaw+7eXPX)mntyGf4XeM?sW9gBR)*sRQ5^HKrBd^+G%==u zQ0^eQLMWlzk&qZJD{H*|sXV)HVmw$}-ax*+;Sx7@wu3lf zq7PQKk~l$Y#T=-U2{!EERt~#67$$LRmi}kz^5T`u4w9jLp56r1>jE=-XIj~ii;D(K zF{Gl>#|TIzypx1)3BvtmNEie-)v~b2^Jpg;nsLz&@e^bQOZlBdesodv^8Ytm6}V#D zE<-DFQo#8(bXlpo{=${V$>c#7fWO$OJkf-0+9+R$3*9z4ynFW)Ln6*Z_ig4$^pUI# zP9+0+0IIz0qr8R#(5D&9Gw|E3=bXG{oJdogI}+z+kkoCl`$X0IU}0fh;!Zc{ah{<> zs#JXPl&lJJ7|Q7ka-uU^k0f(15l@lDQknaJEhkN|m{- zD4E1$*HSi=SdQoZ+-^gw*bkD(>~r|407>}`k>5`6qczvh>_L8K9zt5r+CF;>(>P5V zZTs|qRLaAo%w;Cr3$TJ4ev=wbMBFcm>to!AVHT%ARG2iZKBy1TOI8A-B)~_#FY; zw%oL#Hs~zj#VOo5gyUK{J4-BX!fSpQksLDyGtP_BXQEK43O!3`x-WYe$HAq6q1kYA zhD2N@VHGNEp${4JJALHl}_7TV9+DiM14;I zWMnImyORhbe3GfQ*Yu4mV08k&hv8Ig*(XxtC-4+YIo^{T>GRB`S7_I2?p}t>o$yCn zYm(l%6(COm7YNAZbDH0Hs0EJ$4%BfPT59s@0q5>*(BpJ}-`vJMAe2yrgg6}~sk?_Y zYd53vB^mfq1?qp%P>NLlD$MJCed>*&oT}u+=*ZrF6Zjdzf=4Qg?)fD{?w(Ptl@~7z z^RLuX(~YQ9Yoyxyl#4_&EE{5R-payLF4=&F6~c2pwp6d;d=pa^ts2BLqN*al9!sR@ zXV!_sSuKfQX*6;D#)7-hpcR{JTL-Xsu?l;TuzH*qvC*>S+%S-FBQyVj+`ta<6l;xG z_;=jeDwpJYn{pW)T0T8ey>5`>cG$f<>0NzAD~Tpa_vp7 z6_GS=9k~>c)1rO|*v?=V&lOv@aYnWhXp;av8<`Yu2OJep$T`|E9O5jQ%wb>6@s^dU z=o>_*zUc~go1Bvy6vmq?8cgTy%tMCGy-|4U*`Z6kbc(LGeL$7%VX~#SJu&rr$MfKL z4(@n5RCfq=J7V~rAH_ET$gL%|L{p-hBr2ZSi+Dld$y{tEadNWDcd?;W+_REhz93F& zuU8CScCYU~B*782QiG3xsV~Y{ur&|6`x@-x{p7S)*N(^*y{wUhff1}w{jrCxR9Je+W;{vpo|B zu5Dbrh2vi^FBatvEcXyYCei}p$v$BcfuX$qm%K{g)nnxYLhH>n+;-GqQtF2eL`ua9 zFMY_Yu5uVk>i=-Pc-xC*0@-c==7)co?ytG z9Ysz>=DJib`AX)ABtu1=Kei1O#TzW1WJnZSh^i|4AKdn075mA==3GuCRz)@hM8Q_p zW_-P}9^F$6ew=X}#7Q0W6RjMcN)9v%`r9Y?@BsQ4v59OJ028lkyP^zH#*8SE32s`_-KdKUbCJFO&IcBr| zrwsiGXXO0$=OUhE7%xOIt{&Y%!#t+)eKz@WHl91k3~sJ`puPkRP{z#`K6fhv)K|Uz z>7HYF#yRpjL9*0n1dLL9F3>j4yF9p6&s?jmEn?I^53la$o=+O0L8mttyrEDQ@<PH>v97JL~wk&tV}pl?GXh+u_(CE;%_@Q6-pAt)%^=3QQEEnrcxfa+>j zUA@(DuQF7M1DpF)#1(!)%e_geLtNW@>E`fZFp;H_#(T7gHdnUq_#%oD~zSil@ zD9r&3=>x)npE*kJ8Lr2s(byqMvDf7E}H z=))i{Q$gQIP|lgQgD%w=|5J5uGT6n_b{}lp5F%PByqOfZPh=?^u2l~52KwgmGR!IW z7Q>`?pD2n+9zhAcm4vuY)U#jU5{?yk2;OGc6o+c{Vbh~mc=1Z*?WA&LP=Ve?-qQ6A znOWXpu!}vMJ+ZU$6zrV@qphErR1nW9*5kVj*FbzIrK#SLPeQMiERp1X3xR=7g5J%cZ=RRW4w?W|q(MsW?q`*zrOl>0_ z1n-Ugm;sN`wEem{_7EsjQ9n*puT}Eu(ABG}Jj+vYHTMaFKaf`GD_*I5l2m&2b!0?! z?o)=tHuQDMRq#&}{3^NHM-95q7}OY@*01LAUeP{FG~d>tM=oGiWe#fhIfJ-6Vr+3b zZe}fDBUE8OPuRXw2uus?=ejQ#0s}R6k1529S1Mm5mA+OEjX*iH@FhcLyQ~}qP&!{G zon96(E)iO(x~~`-+h7rkV1@rG;o1BA1PEUgtz!2z16v$y(NpE+1S;Iu3D;{C#2wUN z*L=fZZ^J4mm99j-Ng}<5JVIbP?pub!HVk>nRq$^UoI!nd66T4@?-=Z2zf{kv?;%#9 zzf0&_3UrT=QeT%0(70!^g>Yf_Jwv6~WzdJpmM}`~`=o|{UA2M*WW6d@*AEP#ZCC{* z!j;AkNu$?pq zgTaoOp86R_6sUNAB;J zKZd|IRKLnr68|L$KOdZ1ap`ha=A+|a(`AEm2bvGM#47Y9AiZbbm#%k7gS`zcPq_+y zDT4Q1x&%w<(uTu!EnU2LrE(ck>9tmHgZF*#^4kwDf))M> zgzsgLAnT30q5&VM1LhqC5UbEv>i6Z#a?$yf4fr-xya-nKtMr5SN&m09{qVWW|5qb? zFZF{<>v7B!yGB-8fM{EAI?{p}~AvX#UQNCN+08g}opg*}NI z8X5z668cG3A~zzDUWVB^0&(1p4TbHPoFG@hZ$fZP%&3K4>ukxsVHgZ#r}q)AG;T&3 zy(T8^{kC1nP}m0jD1sIK=7i^=0_*sY`J?S_VepGjY4-7Bd1biRR@B{25 zdw*8j-O9kn%uW4PE2&t;zBRFZ7nqdoFx}E#U&Nkm&EZ0?+ZX}^b%8#@mBwvJ!@E_x zM@+h{e!QVFkXy9?KKX)pTedNOVbNirj1}_bw|jT^G*H_&fj&mJKaDQ zcfGA3AyKi;AQlfBd90DqJ@fnAnFg(R!*DA!k*RohBA!@)^6?{6lXC}V#^y%%oIf{; z>K%1=HrT~srCVZK`O4!ie zV|&kcBL=rvlWm2Yk*wIG#1?fT*t7em4h)TtPYn-G%}>s`y#~H`4&4eqFI*Yy%YXfZ zz|YPN&CR;~2L9N-J|kJN$A~SiR$uc&v-@X9(aX*FAU@Rrp|VA25&e1pug3%RX_4V6>*-3Y2O{0 zpO~H*-8<{fHJHcNmMT_J4-hrgRdf4iMu$fHEXajv)*X6mqctO0vCk)Vs+*xBX6ELn z-312s*mQG{s+e~trtC!}`VqD4wc|YuaIy1ctJbAp{M^u<@lkhg1AA=RDHW{96(XlS`oPf4B+SQIw`g#Wtw*a^MXf@5 zYST7ba#&;uFYo7S1eP8*j9F=6@BHNO+}PBlTQ-D>?L9q3gTrs$ob?zxax#_83PhiG zIjD(|`RRqZscE-ru+At{A^os|G)1Wsg|q(HUeyFKH#ac_SpsLPZz=uw|_3gn*1S(dO zSeylBM(5^dCKt{f8lN9^ErV7(>-77wtVqSXhbqHj6Kt_O;kCP=mEtDp0XD^sDyFkByHk;1Ap(12x!JCGr&MFp)Ug_`Mu$M-0wj zqb*2Nlue?r?#8EvMiz#rCTHi|#Rh1wx=RHr)_sV@Inr0_UW~8t@$=n%4cuTFD<@MC z??*)XLUh2-&CHLgD!ISGEw%~z^~N5O75xE3=WLbJrVD2ua1S)l#j{2~Xe(B6A4FXG z0hHU&1>_y6Ddg{RF zjC-g79IO}RWGdqS5s_m=e~TI6VFqrnF_H>YtcMeeZ70KL-}uy?p>g*J12$OOWh5%v zBZ)>GEx(%_g5%^-25T^FmdI12M-%DtK-!DB9LvcW_ZS0oCVts}{n4*OsyM}YEOGcn zG~pIz=O*Ud;|$PXUzEsGq{kD9Ej2PaJ~}tLAhq`dgEd%7Wh5%v6Nx5PiOf6WW6;x2 zGGK%CK|k?Opkh5)v4*E6riW%m7clueWm~XPfr|B1VzIq~afG4uGy^qQdnNJ|>FGq` z5tjMM>7n7XF?F9a4>$0rdxpU)Ua|D+h(@ZSK9i_oo6Jq2Cif1Z-JWFt2Wz+4M4)0l zn^;``<|l@8hi2S!3}mtIz27%>$yMa%5;@UYu=R$Mm}XwN4aX8@Qh zb7Pa3(Zz6nfx#PW2FS@|4#JPWYJ&Vn~%VQeqjavba37a7#SYL-@6POc)qSid#s zgfJt##GnrLtvQ*B_);QLQ|}v{^P2i)2JB4y^5`|Sic_4I6Ne)o9eEm-Cl+_FFhGNi z{6wB2y^=`mFF_~F%W0wLu*Bh_BgBL@!ejUrR(iuzWfhVg)zVq$38z0KeaJRZC}MS44tr0s%-1zuA3 z4udsd+oci}?VUuU=S+>=Fc{ut0C(e0j$W(eg(~K|E#}13$o%+}d(XCFdZCK>USe{! zr<5k<$LGeTvA}(wK^<(hXT>V+`-z)c7(;V&GwuTh@mMSj3RJ8Q5=*Q#u|nBLKV+Z= z>!aQXg*-+2aPn2+(>XAP9g>e2r~$t!5vW)nC01sB2(HGD8MtGbAG}OO{5TP_VWeHYU7K#r&jx<@C(hq|EFSa4We_8OXuDGAC0JKTX7p9!&=DR!PL3WJADbNIr+&`B4mJ+`r>0^R_w&TP6vqD~mP=nSP^S*0+#pG%f05F~!p1^v zVQ6}K6h56V8I-|vHkW=uqN06S(NyWs3I3IBLCZ)~w67A4D(Y@ z({~KwfLc^4E^9S?msngk%uLNK?46pQao;mYXAU$7RGfa(_ld*a5>_wx=GoyH_X7hq zSZ~S6RKy<=QG73cM~Lp!9~rp8YB89C5U5x`CKksz#`l7H$bVwM1{>!YiHi19qOmR~ zhR%j_LiZ4VX7C29%bZL_{5cWRkrx{87Y6WHMxGa`c)uhbXIgDpQ7$LCUm3*R_>-fz zKJ!8q^Vh`W4rZ6XguegZ805irFnfts{NECvR+=o_#31~g0UgXrOXMli?}@|+gwT<* z+be%Cki|Rl{ajAnf))FZ#OD4O6~x?uDfcG>IN1JJkftbqCQ4?VyLV=4!u`b{4K^Ob zI+qd^?XQX!I+nN#|F$h?8HtMaccO7Dj-EFM^FkH#zj@5*DMZc@ z^SB%3!;g*yQ-vz#B_LZyd!RHm=PqgB1{>{(JVm+`kvJCoY7Kks2)wzp!5XanG7=T- zGDKtV3@X5H^Ig`!4c0reA{Fm)#N%AJf9Tv%j)eJ%QG}UZ-T)3Z7v^Lt;uVOP*5~l} z(Cn9&4eepD;vPU`etq>JV`OHLQK|asPN#1xvGI2tWI+>74d34 zzw%^vbpyE#UwN`(UZW@GE_coC$K0iu*CHlI2R$PT!{ehvlL$Awwm}?hbYw*;-gSt_ zz8V@@tcvRzxWW2rMxvr!k7%-n&+LoPxNz4ukb|w4vfC{btGG8HE-km*Ud#fvtWm<< z&|nW{x%CpQ_%|XxR~lkz`3dsI26eENMk-LTZbB@M&6%OG*-?ap%|PePx|qh_u-J3jah`GFXFIY(bi$+&qtRlDow=q9mH_mU)z2?pE7~l8o|O=TS~}x7kLN zM1S3uDB>l+jvt+6lT+?^12kB#L;Ow!I#~Qy56OzYL(#)bl?!AoZwq=4$%?*{==8^Ee62gtK%R+T9=+wO;uPm3 z;;{F4$LQ#J(=%?DK^m<0qyiP|WMXCPiQqms#lQ`wvqD|w{RgM!zYdX06YewvcPw8= zf%qMboBdI@C3i?b4=?o5Mqr-3?1B2SU-L?pIa z))#xCyR$(XtkrTd74a^;5KnS<-FC!eKDb*i#9eOpwj(BU!w?a(UP)}??lEwK^~^93 zuq&+fIZP~Cn|@6=Hi>f?b8f_-4Q6d-MJnDX@z`T>n=Njy0UWHyf%^s((Je3phs1#7`%_p0f&_+;>(f^@Vw|J_#|_$G^_i2Y zh!ct^^W)H-*{Sh)93q_D7Q~!PMVulc`>6PxH3DYZ01nnivmzDm9K{nhh(pEUoe?*) zEqGaxiZ=_%8)825d^=Mt&Ed`c+&mHG!+oBN`dX{$I__LUvsA+A;0n@jZyE+4`rzy@?zA!rW?9{9E>HVUyLUTobAV_^Xm*N{x1> z6t1=DxCQddwpgoPJ=myqn$1Sr-P^E>Yq5+3&yBq~^HP}25uk*N$V&b-++2<% z^=O<5NpYt_KNu~A^yk%1ZOJVfPA5gxSSr9%qT6655n38OQmbz8LbQ&n5}S6NVz)Y* zZpnb&J_-~iJ=)Fj=Xj70pKjMSmYO?|9ugz5(kKBI*HzZZrKZpvZ~@*e9~E?_q=&u% zpvUWr4)?y5aFr3hv{PH>&D?&#t`L%Q4GSV|Uk&*@p&wQa=p72bH&@ofa>xl3#qAu$ zJrhg($%EDj%IRCH7#CphPOl3M>W)Ixd|?lJ8768l8Fzec!)pmzv8ZbIut8#dD1*?P*Zu2XWG_$Kcr% zJu$xFo+SafZPRKpNB| z936*o`D*iU+Z{3#iuFjQq=)x8!uXjb{O^Dl>c`Y!!sW(PeXWLE>_-e@`hN;Ch*D&sDrHR?nxx*)%P;wjVWZH4}Atjy<(7uNA)R@@o znDFjvSe=N!>OUU4%6np*!xNFhZI2EXYG7Of)j>tE|N1UlT2p)Neq@#%L%6OJ_pCJB z{SB|UF%(LBR{WIkLO2B_)ld?+hXPmfm5`1SR#Kw09zaIf*>G*?RQEu`rnnbtEuo}m zaw{@fI@R~4kyA^!aI=jI4PmscK#`OxjTKmGoz=CDdl1pHE!Aqa>qmGkpL?+35Z6*k z`Lv~ySHfp6WbbIy528a$eY8u5L8XMNt8kOwN{M&E!(Q*W{~@#N5%-2ajQCvL4?*p;0{_fW&2c;e2L^%O{1M0pOb zQmrjkss~Hq`bW{UuqsRbo;M8e|5GBNU+;ugsvU6;J1Qc%vYrS#)mYb12}_&O@#D3X zN_Dfu1gbD*Zr5=SS02en;fmW;_lTq7kt>__kt#*`{)!)JygRoF(`|WUy-K6e+p)Zb zpiw(g^0#WCW*$jK>4d)si`PBM(21GwSC5 z5Y3eIKfx@kAnLH8t<~U23kmCmHZKO&v;meD;a(B2fe*&8iq*q1m~_uQf_T(_?=vabj6vX7_TTj;aTtusiOlgw7frZn=8;u3heF1~|^> z@P$1r4SD}8RX`iGR+`y6T-pWsP)7AeX;p3m#yESrR)Fuuat#9Rplmw#48x5 zgv-zoUL+|Z(_!~aqSDl+mF9KcvkY9ZshyPbI9wwJdtk4u($_nU&C*c&U~Q>%4lQgd znvQ!mVY5?WqJ-RY41C;_n3PXHm*z@mM;%Kq%?EtmV=Zo-Ow(!z#{`mXY8& z(L0%WDa|ufMMr3}Ii_Z3cTh>Av(VueR-?5;b?GUuCckV?xtQ(#8bd6ur?9AJ#6Hd^ zp)w3`RFJrrGDKwNT)CL{0>73dvTB4AUAuC`z0UB6QzN0Yr^0nbcp+?Ny|FIV!|c#` zyD)m0Z68hbda}q)nax(m|MCrnM)8cH14oN{9_-}$Mu^Dl<*gXh3M}cR5>wJ*U_-%$pabwxyp2Lm7 zL8m#G^jU*1=$p3_Kdb4N8}1zjIZo3r2Q!}4wcL=;#ZDCb6QLhTPsJWhYgLvPG?8<< z{+(S+*4(=WW3uMI{w8Fy=9!??OB0oK7D5eJ8aqQL#{I7DJqDgmnf}Iq zFA<&yO#o;Q85=XT<(gyO?~Z#f!Fgc=u>3nXse`K?RzR)c-e(Bhv5-JNF`fkVQnC|3 zuS^YY;`fsRf1`t)?uRP$+y@MDoW=^JJs_u;@WQtNM2mNIr0y_6n^^0hQlOdYZ882n zXt}fwuF!GiJ~R-QP}*~$?;*SpF4Nw~ho4V34E#>TX2*S)G-wxVm8`+9b{IYztT{en zn4E+^>)#=|1$Z)a_)b9R0TC*E#2Diy-`K=xiIs-cArU+7qol(Qq|#s}!OOo~UvVEZ zY~oDfq`W7?voOgkUpKCK2$%8F7z$Ibx7>g5z^Avl!2swDnrv{=*4MGeMTY^E>c`2H zV@a8M`@&B>?h}S=@mT65!t>=km=%0xi4zb_7I~}wHq3*cBp^2yqE7eZmUFBlqewjGOlbS_ExB#39tPED4em7x`#=%}Td{M>P0 zBskl|FQC!?gICUd$q*=R6IM5t6$(V!MNvGXG{(JH+|KHP2DML zyc6)%5uh}(XCjQ%QWXOS8}_A2#%uje(xNTp+q%(&j`@~hRBTJ71w9#R({YF?aX*8m z%ar%qcigv$)vav3+sJ*#pdO8~^&&hzXDY93{o6BzNM`pJHIR6!zDr8EVcM##xbGP% zk;4>4Jq0R>3-RRpC$yD}4w)TGXHAdpli3n|;`>DBg4)+%xGBW_z`%3)(tpOzmG$`i zpgG)Ro>u)2iFBnDX#njKF7xt=EsD|cJd8}eYM41?k5H+u9Jt- z9*(LiypVbgW)RoaVeXJw3ci_js;2pwan$fn^}BU?skf@`XNFAicV|j^A{-9v+Ya$t zVr|e&-dM*9LF@}ICMRp1!%fExs*d})t&_D%6%K(__X|TKu1-Q}PleV~cp-Iycq{lE zN@rkUjqMTG?tU+vW{gP!k4!Fbs+((0pOfftCR##hSn;+WC*f%Np&7`tn1l}H1jH`)7sIO9ma)Y> zDfXc~z+NuRH8&i+FSK%JJ7|rHTPlr*I4w37O!iJ`4BI<@C8MnU;2KzeLl3f({>_kz zvmY`NJTKa(nU_*sTzCQ`JD5e|?aP?N9rt&#W4F;}Xs^~97}ozV#EQF3zOd)SuIq(m z$By?3l^7<7;q09R|0IX(G|+69Mdkg=kcbbm&d`+ zl@0hUhPTB%JWU-H=-Whg8S$cF zdmVuV*lJSuQ0Xo=nwYpTC52ZK>4IT~JGd`Hdf6$UQeUpR%NlNRQvi#4V*GnP39FgB zbvQJ(cdxL*55sCEUXC=_hqV_}o2|_S2SfGphDux~(&C;Dt5)9xN-G@6NgQwpvB_Ex zS0JOTl3A>;uOi0eiiS^|lJSK-8`@(2S-8lu&3oX`mRRYQ{4Y<@y15dWWR)=uG5j5- z%Zj_Qp%bT!GZH+f5;$dE3bA<)Ba2HeMmz2*woZ;LIX2i;4T-oq@r6A;9fAJ2Po11M zG81APuSOE-a!&jKS2qM=mUArV!P)(XS@DUXa1CN`Eur0U5v$m18jv`f8YMjn5`P?r z2l>8{+Tz9v7mmv~98sek-Er3WmLVEzQC(@Efx?A#B!B;p3Rfm3FmWcQ-ZQ z#S0__&x-IAsI0SZyAp7F;%2r+;OVa~Z@Q8p6;~s^u&2Xm$v+Db z@#=>aF1spBV+ryJv7w-Hb5fyt@M{boW#?{Th!oF`*`l5XtpR^EFSq_W%_>g@+>%gP zmDA}Qbhk1{aViHTJrK`f;6Xli4oeP15yCDwTwmgSupM`6LT0-j*4fQ=#oflBMpm>G z_Q3Q~W1${;A0t^NG~D>M3hFggm7%Sue0Tg&f#wT)P!9KLFD-N8Bmi^S8|a+eaknFh z{1zXry5`3E(n7nl)@i%j8#=LDe0edR80YTcAfBr~gwuF?^#sz$+J=>I2I>w5y$lIk z>)=q@gEF8nypZ;1BUBr8?sOyp#XE?9P5hybU|jkf#)B&x3UT&wD!{Xl1yv$ch`<#R zFu0Jx∾lJIN*A|2N%-N^-9+H87`o@oVl`eWV zbpAGc0Nmt0)pEf`Scf|V?zDlpXmQVFH@N5<;ZjNihA_rzuCYmltA8R}nAqDyjMK9G zf~IZ9-H{w=pm-Hp_3LnVx*=FRDd)<1c1(FOoY;D25arT%1>>jf&NRZgJJ-J@Sj5Yu z8bzd5P(OR{zT@sh$=TtJi1QY<*xj8CNZjxar9EB=c;SUqFrwBey3~MwQ{(13?k<)= zYqNF)egt>dff$6+o&i@H+$Qu^YP&3gh09)?buFDYF)p!BY-cfypp${zad#u9bg(hz z(Cs#KVg?%vdM2Ephw+r!??c2$=WVnFr8EIAIjA_S>kx38R7Jq=?owE$1qq1#9glEQb!M2sR!f*)001|w>X&4JM zYsvp{$DK`jRBQURYpeWe-0&(^Yq_$XPzfSMlxLEJiA?Mlvv#q0gt5C5M9(Uv)k<6N zCk=j_QVOL#12Gi6IN>mhs41M<L?F-%S@WYSgMlVGJLBBhS@ z*H>0+ZbySB(J`hO_`%Vg?ALVMEIDNdmbg6T44t@vl{!5bXTc{SG3NLB=-w~U)dNcr zM`74q<_VtdtnH2U%7#1FpvQGqDeEhO#=1NTzHt%GZmgGv=GFgoz*0aqfsL9wZy*X% z)>EKr!y$(aUj;)5bYHKoVqFe{Y^fxF=c@r3CM*N7v)ly(F_5yJ0lSbqN+k?4+^)j2 z&IrQfG7bBip|i>yi!GxXo8<0f!yw8uu&~p_wh21Wf-FD88}9C5*xeZ=`j4DKS)MI5 z>Kx*xd{<48kZ*#FxXMYT(1P>9lJ_z^ianG)BzSaM3?mS#A(9Kkq#pB2!KEhD%Mwld zdmFrBJ!VRKtP;eIA&7p>E3F~er8~kic0PQYVE;}T=vY78UO@=uvRgbV2Bx%Uz~yET zCw=3XEZvsgkvlXSw)42zbc7kmvyxx)tV3cc1wm^+_Eke;OViglc4F* zL^?XCLQ|c)`XV;Gk&3~q^5vs~?iS#oxgRx>5w1fdaWJfq0(*;A?8b&$HPFTOWm?cf z${y5)v_rSEeq#e0g4Cl7km5HJo<^8T!Esu5p}{XU!ZIa20q*HTj4+tpKeXc{GmmDE zFCQd+cD8__+Hnm-Aa1r`QO|(-olinx2HP^>zy;s6Ve`n@yv#ZinI~*LRNIH#x}gzQ z4=CwbP-EjkNDR-OTaxfI&K;aFX<*K5>_wHk>B4?DegHsVx+96 z!EpeSHgl5v0YthgULRhqblU5+!(mQ(pn=+fKk08I6v2@W8xWmf#z zrhWb-Q#*-kLbveeR*^NL3%KeYHW+Y-bKtmJ@lg)@DsGVpMTXf9JVujU!abbGoQ|~S zmg>$AyGI!O;_1j1_cc%RKm~ej#1Xwz!n<&whk2hk86iIenXm_lZ-NtN7zvLuM2dTW zDeZZ%$f&0ClKD8z!9{OXqQcQ4II@ZV@3=?Xn!&n)2eR7kF@{iF&1iAYi1VGkk(x_LazZ z2W*v{?FM#g-4hICvBi`r>5-^hXDKN4RX&k09DbZ~k+-0}vhJQ_P>P3NTF`?~1tMDk z1WBW7%&R14d@|9vT+ptI%}$OFg!r}HQw(hJ(y)gFkADipXT(ZF)2*@t5qsRysNh(i zOvM$R+3{f{2pz|0c&f5X?L3JI;G=umQL*bG!Lx&u^OD$i(R-E$-QHMX7Iu&PJAx5y%R=^%PTyNfz8JjH~e?B%f3pWl1_(-D_P6Gn21-vuY+RSY`d2jwBmdxNjZMzivkkwF-dG#!W1s5Dv8ulti8%+kiFVkDg) zx9m8@em;kidzGOTH%>$8v@c}6^g%LEUrp5PFle_M?llH6ZWy4XN8_L4!8gYE?9SQQ z@m&5VUt{Th>TAj2swkvY>STH2UT0_&FC+4WJrmBjUYL+cvcR-_=GO45B+b|BNhCWI z+qC%H8w`)Qp(tfN4Mq&fqp%ponik=`bYIfS$LLV|IOyXtx^A+_l|13_}k6{`0nW(WJcR$6lJe5_S`nRx*uB zJ{U0|1hV7aNjh0Y(O&DcDEeK7Oq`+!r9G7rsDu|nWOf3XrlCqCoGwH}Af5U$GD^U4n@QNP+H4{M{G%k1 zon2a+)yAT8A2T%KW*1*LtqcDwR6=FQCT~f7l}S|K$F(keqlT!fPZ$!#b&)OVDNqgg zn5#_C>n9179i9k{Y>6rHDFYWbJhixoWUPR`k?&4sRlaRXdUAsKT|V`e$f=!AlUPo3 zU4)#^wUgav46jJdnAzsJ0 z&ly&6J;WFGq}Wx1!s4Ve-aH)kd4u)GsVCz~`#gzco$Lz>A<}-qeZi24bF!xbJR$b4 z^qo}HUO6g|M$jUC|1u^^@g*Q5gw~DkdrZ?Ji{~#HI>mL9FYKwXgN_ApsSf+Htpcjq z^%WQ}E%z0J8CM0V0FNuyX(CjrK-OwBQ)cBohEff&0YQm%}|N4&ZMO0 z!09Qd3o)0#@#_ksx^ii8&3)sjU@|2=43#y+$T!a7eiB4@Ve5xM1Pn*v-cF|TeUk*T z%6b)n>+V~IL9v2T1}y3+NE_ivIGkPEtS#->kH95%eEJF}V3%@fKD2?^0|5a#b9|d* zvO|)a!ASi69Yd$M+bJDi*b`y|w|^E&!~QIzdQthCj{B}fudHvfIlea#x-aa}X&?G$ zK^N7Dc`Mz>LDr2OJ{C`#34P=HyN&$N9Gvy&(b4&Fs2AEh3=aq z!beI7OXH#q42rt@#XvNCVNZjhG5%R-bVp>!3Iu-vi+2YgkzJ4pG}uXz7lO2?({#YC zVe|Ni`;}o8XL3tfPl_8s@+h1pFi|0|AEIU&=t0=1PHd}R6QA>mpJ&pz8uuGRq1fQD z#XSp7$VoI#X+PH)P+!RNKvZ^J81^BfU0alFIPCH}gIyeC*;|Nbz_n-4-`RsMzt_*! zYWL}7;oAO#fiC`RTik=PwN#+g|EwlA(6_MgkS{$=Ec{3E$(nZ9oGX3;9&N zp#@t3Q3g;axy=*6#amk&HwIGrL(E+lIJs5FQFj&S0Rdk3;5tkFBFIz!k9;Q@wmo~t~6J)-yN2Z1y3gWcZOXHPI4z|k>HCy*U zMK5W)%Np3Yx(}s2F2&CJ^}uX$!1rGy*$&A0hd3df_+J~&+Fu<-vWHy3M6Pm>kyRSHN z=B{k;i>JBXLOcsHSK;`tmoNQZj4{cx#6^Q1f|6~MtB~FmGxVxU?y80om*M@ZL@8B6 z#&k|KRi7_?cx1=S)P$PnFgX}73~LRZ4z$VD2+d<}oP4l)X}hZ%U>bM*fwh?bdK6V7 zSg(kX6{t*Yl-_aIARs$|QeIfV(Q2k~zNP^#?gX~DC%{@#fl}*fSUSR^kn%f!#Qs_& zlU4kS?Iq-MxVB+ZtZ9^ql=U>Ip5@WBJhoBy)ZD>Zqqd3MglZfk;R1PNcMuS?&~&_t z5S{b7hE1{8Q`uxBcuw479H!W55i88(8G8jG?gDW^yc@IQu17vp9x4r6uo5kNeZwVA zCxz0U2P-qY@GS&0z^~y$uCy>A){a!T+DDhU0oi0*32Sj!WH&Ti;#x_{dM4~(6O}4* z#>wVpdMwH(k_*c-Ir_4UC=FiFiL4A-HECFfUq9a1&?&AOQ#!4hGy){G4Z^N>k86f* zLN?jagvk=8-oW#whECjQ(&C;EwTQlvI>PMPDN(%mKGF;&HzN(soZ4S-LsbPk86`ua zc;?I(_7u2d;e`nSQKIH9L)q){xhrl?9$aatC<*f6F+g_VBg(%cQq&??TxE9oYK$ZpqaAlY7bRd4! zZ|dE~AQk%=y9M~~rSK7PrJ^%3gq4Xk(YbC*WY%+H;qzuBq%o|y;|*|eJ$IG&xSXmF ztk$F=OXo8=9rk2IJ~A{AJKNWAjoiVFmb<+Hj_Yf_ut()meO52aMXZU)<(>o+U9!i^ zEwLSU0vV8Eb`YmA#qJJ& zDLJf#TIePZ^#C2cvX-QK^ltG2pF)jyr>Vvg!cy zbO%$C19sqj zc~67gF?l6SX2hn38!-v`xeGaPeoz^e#j3ljK`-_hWJ-Emls*n(1Tk5=GRt@=ao*gG zurk9TC!a%HZO834pj*svTFygK)UdwlxFL$q4saYthf8*kfruO6QZ{W^d6aJpPDx0X zYfg}Orm@Lvo^F`%S=D;Df+)8UgC3_^Su_RblW)m<0>lGD=c*56l;GSlNT&xMeZ*(C z*N`aQGUz43lVRUVB9JSkS&3uK1tE9bJ~GJ;Fzzo^+it(%5I4YlVUNxZ>7S)C#0`U) zMV)i-lI2gFkC91snY^~<&N3{x0Ni?}TMHM?aN?3%xsm;XQSsMv)uw-`=qk~VaBA)aYl2J z4;$C#kVsaswXi&&F(l#?8%lZtJSU6?0nY@KYUV|xRUl|?yG}xKd^#I9XV8nso~l(J z)#F8Y8e}~zf~VyourLO)!9VneN~#?C3FpZw+xwRq?p(tquJSdjC!Ux(1Jrruz1fCRD=-5T$+7dJ7J4rJZLaT8rq-d6}?=8{)Z8?%{nrQ#bF zKN7q}94FLjb=-K%3Zf-?zSfVoYPc407Z_f}^^+F#g!rwxYn%y9x;ufgeG<+zcMpRU z*C$cZL$Si};J;dYb7?>rz7G+f_#7XNl(Z4DE0788K<#DN%7mGYsMC8HI>mONE$%tV z;jti4h+*=_K0h(UZBC$4i051&6HXGo4$<3j-v%h(+wdsXm-)h;1=m>^CL&H1l)BC< zM5QgNAK*9rLn;}!XuykY(Vj9q2U-|8(dO<&+;*2DK5S0%G-v;%#@IPO|*Z8RFZ zn0Lu=I}H$9&s#={XUEWB^NX(0!?R0r7M_CzPQKCzT*4u1NR3>x{kc;=;+74+xc-ci zo>K{&=5UUNQ`~5BWmm{ADN!>tomYrV1J5@+*5c4P4Yz8riw(S7S&z;Y%!p(J@e;Y$ zo$j>PiJDdK*?XYeg$6uMy=O(Ft&)8!Rk8K$Qpwd)2gx!!1v3F@wbF78LojX%4y8Re zu57{!p*7(}i|y%ykWpbs)IbVZg`dO*yLCe%PT?ozJq;?Qz0_?7kmgv3h1cdOQ9yWmcgTmpXZ_iv)K+biL3W+e=G@mY z_;KqL7WL?yD)}TIKZ_sI3CY_sdZnC?P~K1yVL0MeWVh)K9TkaeQBQ)MZ$dYnWXiv68rx?;}aL-e=+oxV;+^ zRg{=bnmbNp|mH;$vhxSeuU4B3)zQu_cySS<3b91IPOZo-s4!{^b%ZE;Z52ao&U$$ zyT{3y73JeAEG&1q$z5z%goWKsHp$)vHj|lTcVH%&&CKpb1VYbD&!oxB^l;vuB(tI* zAR;27f+82cfQW#Af{1{K+(ZOKL`3AKA|fIpAOZry?|G_Do%emKyHDQa=O6ie(mnmw z^StL$r>ah!I^jvAK#N%i7EP7#WC!2GBIJV#%~{3}xEUgY@H753mvGu2m)$+Z;WT?q zeYosf>`w7YBgUOkq^~^v_*6r!1kg~dEq@nwpN7q=LlUjbGf&~J8Hr+96VQ)(_2yYxKiLV_Kna` ze|U{kSy0-ciwd~#gwnhpgr7G`I<$}l5w}poGtY>Ue_SbX%pOi6QJR5hoMoxU;M??Z zjmxtfSYCy=rxlCl^L~*gMtw>W#C-Zi!qPBQmU34}c(#Mg8-|r96^;t&fL%H=C-;!V zR2-C8sN?Cj>T}Kluac#Xr(;IK&dFA-GE)mH3UV<~U4gLGk&T_YBK(TOZ8oy`sJ`ef z0P~X!sp~gn<-i!iw!9TNU{!hSuA-h`3mfnZdZ5jJm1JlVYm!S5YoI^ZvAKx97z{Rx zt9I_hW;$*dk|Ibu`eAkF?wz$~l@2xWe5^r?bo~~uu74h}IIOgnxPO5o6F3q0YYr_x ztlZOzcWa2P9H0JmLY;^2SaAYJ-NN%71Wm5-FBG3r(Ns}ZNrDUTjEWqD-yle-??S_q5`2)FApnandbza*~}=o_k0p-*1r$XPgOJk}yelxnt7MD3FKC0iwc$2M*-- zLzm@MY;9^qNEsovNA}yE&+;NG?}k^L6(4Vfo#qn92JKf`e1C*i|bdL0R+G2X=AtVtXFOu1Zzeh^6Fzj7e zC-wIopS*=pc~Z$R*O@7f(}$50*5kidqt zz@w(;EX^73{RiYw9rofrg*Q3|&4#@^tN46CJ_~^?J5cx_9HMu24Gid$oo(*o#}zCceEB0|AQge6ve8<2^BFOyJgE#g z14Z{q>Mg|Ls-!jxqUy)`%i*mKEWavMA5}DJ`dJZG+6jM5B-$c2K6^{yZ4M`I zi>=cwe#jU6ei!Gu| zP#2|2vYo{tXib8PaHvHGYoq4J?1VKK1=b%S)#F477%1M=4V{_x-~=R&vgD}@T`ohs`Y2soJqRBl z!K!{nY5ed($E=xt#*<2k`%;56fRv7KV8J0%q=CkxEs4!8KY&x!&+$$E2D1icc#MW>(J5x1tX(x zp>dLoM;k9l@i|&&hSInGo;=u+77dXqY2gzNI^UADXBCZ`i}O+$jX43dvT=}mwH2#U zeUhl$Tui|>?3Q5HY7Nn|li^bioQCuG_Z}reIdBHg!t>)wPvI?u)R3Ib?TSJ8G%2u6 z((|lNyaD*nIQaYw_Kz#{ts$6Ijd6k5$*WOjfM8W6zA8lq98fbQ&PNr5N}QiWiQ|fI zDLe>AR}aj0H9Ls$GyDdn1<0YQBNuPl9X{(QG}DoIQWuH3RXnRNI6lqvb$q%U5%CLQQ%wz` zw}-#sJuG|j->hj6oMTaVOwd@&_=}E8zG?j9%H^JD8aYENg3a1Zr78cN;CI4rtYO&( zQY<)p$)R72UyYytL(ePxL-9}&DUC4=D~Co-A0}5zj7{vAqqe$aQ?X)-pqFm%-R^sb;2O zDL`3KD_*-WJ5$O3i^<6RR-&v&s zjyi?4;`OsB;QimktWN5U4XxDo4TsunQpcwiw*}nzg>=fngQF_-eUl7mh}nF=^|#-0 z;CVx=d{A+j|1!@0j1eoQC;bnBs|r>s`eE4(-*)hMEn@KYxRT%+XWz)%PmCxLC;=OG z{dcSpwEI}xDty$sVT2SKCI{( z$DuH326NCP_n8Mw%UOat24ul*&?&XJwSw9?;Wmy#z8k8KmhZn$MCnUwPn_uC)MZk} zxApH2v**|{>K8cdX78^LD>}7-ewO#2V)8Eh8U)s`T5|)6);987d+Sos>h>g3T@^Y= z6j{ajw>vl{%_c#7TB-aPsPKzxre}l;T+2m-31n<&F)I`yTsoc-6`8A!(}6e`xYqA) zLRI}B$#I#qQ34AP8F_bf)bh(@?O7!z%LW6~2*YOb@$Tf?hG!;EtQ6tSjzF`viBBs9 za*kg}+dyaGWBq2pez7C|gzD-pWK(lUW!h;&hPygS4IR>o2<63aiiS4Cy0aUZFo+Zg zB@V1rbmU{NG|rp5ISTn!aZf8cP1!?h%PpNgNqL}-0YR%83o)?H7Vhs0_i(7qG?qPH z>5M24hgPLSR8{kkE+T9#!NNcd%ebQpdh(v+Q#EB^OWeyb$*?soVp*0RJ#L(0(k{MxWA*(tUKb*X^ zX=AV!9^hCtQ=amya-wM{ABE8ZRu%n3OQ(nGBDfh@6PuBC$0*j1dLEh%_Q12^QAr5n z=`W(k!7*>gBzZ@?}n}(KxI(`@{7%KAu zBJHF{ZfpoCI!YjrA`K9e++*4Bhd5Gs1El(>(l{3ar>AE2qrd^>GtOy0(k2j#N*mxJ zhsDy1^5>EHXye2vF6WuPKGjC$<@L*!D3j1do*W9rB!{R?j+{TylESs?NC@q0haHYu ze*U+(dJT8s2;&Wo@8wjU*@P#Yo2}#J1I(uX46!EX=wV+ zch^?hctWnP;Vyxn$(NHPm!mTC&NjKOaP;!a(a`fsj6sHc;vV*(;wBhsDUeNdd@rH; zd=Ir09F=C{TOU>)E%2BWVbWzXrD>$fb|*XvX1}780`WO&${ioo`VVyk@}tH*tqc%O zsOtTh4p&1|Z9Z&;PY2;)gug9*XTxq4*6YI^bh8i#o>W*aB={h2&1Gj58@`(<5pEE! zCT4ZHRVB99p*CA?|sv5i8V8wE~jpb-b*k)%@9{CpiAzC}Qz$HTWXj#V?w@1!U}4mkG*X{T90t;5>p zIa@>zYqzk^k{{Kq4uyiI4a%{GgN{~S&DI}QHe5;OqqvG2e29S66R*1Mfh!VN{Bq90 z=3@Xh8ml78rl@`^?SP2#ay-*o;0inR-XiMm;^rt8V;qF*$gFC>tZYiXpFue6SaBqr zeq7t*%7}YV_KmW!lP8;U@&pRTl9W*O!BZ&)%bK>ma8^|8aizlU=0ZGZBU-h9cp7xc z^+aTsX;)&|T0*)%)lIm;LFO0#q30Eonk6l7NEJ}ogK#5p%kgKaZ4`<%}R;p^1U8IB(B|>C4vkg>Z0&i2bEvDYtJecMItXq6kALyIZCMNJXwqOOL&|^ zYc@~paRsES7nN$Vi|B`GQN<3it7Z|`!9@q#%q+r_ipX^hA7oOd;!^Y5sQYrN#kB?q zON8Z`uPwB>&Fx^$jb#T-6+B)uxTh7KE(Gh&aAi-c3F{AWNr_+V!SZSpOzCyvm1!$y zM8Q3+6d>W8C{9}e$KAVntsY{dxWx@kuu6Px&YA=iXI%y79Z+1jBPtwoG@2dZtqV~$ zG=l2i3#l2!!x~#DOM|1gV_&D1lAu zE>sxq<-`V==9YGff;s=-agsb}ZLuYRXN!7CgBHGI5S}^$_0sUPvqinM0qUiL@UtUOFAGmUThz-Mpk6izKQ{vP z^6-qaMZLTM>g6bfK-6m7NLMCa1{pJEDFrBlEAUkL-Bqnru~NR26;DpL zMY~Cp`QTylhIkZDAU`gCCSLFD4bO7i@{3>nVdceTScQqQLrMU4e8VC#vlz%hiDW6K ziSsYpt?LiZpq>Jma5Yr-Vs$BI)`Vv}D*4sWJ*`~00~*t0sAVT{KPa*kt^pkeIVV%q z0aRJ=?NQ+TFsg1n$B}5(9{R9y*a;5$S=xiO%Hwv8DtpOxI~MvIyaQJ^nb9er5o%z}=77CMv3*-t6VaRE5dL3$6)rfS{|JV`Ued2))j@1TQB7~XIG ztDfv)uYjc$o_khg_2IJr^s|tikc}t(0ycH4QhNG%4@JTpIfkl7jb|pyudNxY#6U+6p7dgP) zS-=qz6rSSuvpk*@R+xep1s96D-!CROJK6Nk<~FE>-*m9~POd$xfK;U-N?Ls??o3JC zw1uLuYMO~g?QgIjS~$bF8F%JU)Pbz%kETG3)P#Y;k$75oiKCbIM@I`$o@`H7CT1dF zcK|1LdrMcfTGK^=O$#A9(_8Q9fe^IYOUaO)Y1!oJyE2n8yv*^-`(L9(C_4_X8$pMf z7UKq`1qRsEfr6=A+{`r2LHI55srDmplWG)}29~UUJg-lg`b=>UQ zaw8>PHpbZaZ^<6Xr$rL@ucM}(roZzF4oR{*@(q2(R^>Z1zCDMUfi znRpO8j1S~Tdc zAvK>Z{dPyBS+poUuT&T|OJ50@1p$bOk|-MC3Fz4@EV|(xXGI`AuLK}Ns|0gG!dsL3 zcsW8Q2S#{2m9KR{$dCzTAhHSj^0ShhH9NPLA2Da+2K5AXqkvp=jKQP8X_ z3RiP5Kj?Vm`(v~ar9^ucnWkNrf2ql*nyV#{gYcK+#NlJ&I$>24uRrA2VDH*Ro1* z++dRf2o)pTH$5tsW|B$+3|sb5_66>3P+{EY)tXEP-=p7 zs#$rVNJxNrTR4L8FWRUO)N2J-3nx0oO^eRNJ#{`p460fSh zHcu{xPdTJ!>I+XQ21g)1$m??FZ!_*MRdO0XO;}phr3am=PJhOs=dJ2t0ZM`yA7!cO zfAFt~$HG54pk}X$Cl!IlEk5YT>J@m&?m9w*TK_$o%!^17XOadgP>?}wkRwG8aly|z z5)B8rJghuuu<8A*LgmJeMjfaTSxFDt4$(?Yd;4dSs1EVXet{I5&p8gwhPXVd6!?IA zOnttNYDS`v5t)pa*w@Z({0o`*1iYeyBA!@v(TL&mj?-m;81G8hv}2xKMT)ZH0CIm2 zo?Opt2VAy<=O>P&a5QRFkYaTqLw0&0#_bmzw`L2OJ+7p262YdBEQY!7S zLw;!{$G?#nbws(~NR1gJ?talR%j<}t=am|_=?>r$5*A>>N*PjRk(fOB@5Hb6ofeTu zmtcl3ITp?O&Ph=&Jn8BFAgvY8gSTn$P}95!mBw*X8Z7e9KKaFJBJm>aLHG}nt(r)> zO$1w+iC9JWvg4Xx;%%JOg(y{q%j952!f?Uq36{^t|G-1=Cm3BvSQAW;o{++C)oT#!GUnv>aslBdS>dsJ0HOUcm|Jn>h;k$zk;Eab-c;^P;Gx z4+#O(!UM{##{1e)o?^t_Vb2u)vU*CW!`!>%&@0BS_~F%n=xx{6+aaTfq@$f7JT(oW1E#J*?J^=XB>jx7il+U+MbPyxRY7j(xIY>js4-S zma#hD%RRzsD3e>L_`BY_iK9IIAXR_(5prUl0`sudTxlb~&|Q`id@aZ8nk=u%KA%a@ zh8ZPW#)r?=-fzzh!u?3>mcT=aS5(~z_jgqC#|z6Q(ux5`i@~}L9Tg}q&A5?%gc}3h zsHcC=Cp3pqnuFLwXqO)(c2KktK432W101o1Y#W(|G-=vE_Nko#IzrR-TI?O#kE8NN z2AdE;r3&(9mvhJ}y>`^H{m@3}7m=VMJkardWFx+sUZ{D!=jY^0#R_WD{bUs#Xeig{ zkD#mtS#p6xib5MTHkP(Je z3%nKrvW9wyBb2YLp~^rdD36-7BQUSwr?NnoZV`;Cs&yfW&?I96!_VD7hau@Mb=^gd zQ8T4UVHkFCDvp#apzJg_&=Iukur^uI5?=1=Y01i9+Tj@Oi{wXN2c>OPicw1CXM0gW zn@VUUm7SzQgK!c1mB(cZrU(~14*6CoHG?k(9eb^mEJ*wKS)5k*2)l?cV;8aVb-53c zbgg7{*RGjdSrhf5rRd>a@63s*9xWs8`^ zBudGGhAL-7EBoP6^5EXEUbfOk_T5QrcyTJOh07e5iAIf~lC%#-NEI}sESzL^8)0JR z-5^{}F7z_>IwGnRT6AqY5LyVa-o{pUIb7kW%{8K?f|c6oL3Gho5@iC^MF>;#L@ijL zyag$97?%~Yig1MV4*7ZO7{ z;G)PCnMY`H$8Bs{9x;pUDlx|5?<8{1?eCS&dT$LCj~+&HG?0p7t&QwNUh0mKhh3?M zJBAF{Qm>8HGd8{4p`y8*l?ok!2&m!VfTGJJg;!MDV##eF5 zx8?O=8Dk5cem5~cH%{2zT++7k6O!o_laP1j^+xU%Abl^CV zV!!fQC(bU(nTuGcfI$|tXKX%d?V3k84p(LSBtEOv%Inix#2sPWWm@M6Da5VF7`tg* zFwxTexqsct<% zdmDWu2teb^k`%+w*c<4y=}v`%j!%A^lziY=Zf&ZrP&!GZbkzhrDjIW$ETumT!Xe^w zw8rFAvw*_f8L_YdQ%!|E--#5MSWWc=c7V%{1>lIIvo}k}n&T+W>xAyAG8z&pgGJHOl{AC!fN0&R@HodRZ;0zg8Xt^fVzg8l8T;bjqSnX0 z61i~6!TdxwE^bMAh_L7wF^-JNly4D zW=I^+lj%)J8Cm{X8i0KW0+(Bjxg=Eyn!tW5aa$Tt2x-ZfKg&4 z29q0BV;45dalV4gb|`@&`Y>V5@y++KjjdsC-vr8i)X{Jngmq$aOd%P0t&3`6VZ-4) zEZaUA&(I`Fd<8qg6kpqy?h~8)Fi0}Pb|7w;NT$H1Bax5v*h{+!H6&KR<_)ZzSWh4k z1{lh#N^Ccy2*FWl7VIb`=?p7BC&|+6WjbF$5@NB+EybxR1`fYj|5t7+K41TD0#&oY z_GFq-*#=vL{~@#it{{;0ug!h4wxzC}a4crCqry5Q=EYh9T=f4&B1romj@SnPeXRt( zaa!plnNiyp#}Gub*9fN^qr8J*j6{ZZNljb{P&Uanff*o>g!ur40&AWbSm7pzonPw= zThfKGXBIbbywtQuz%!Q6`_l%8G96?>!`*C_0Aq#uvrlwHnk_t0iZ+82DeB>{ibtgm z0&~^JCU$%Gr4ro2#tU5C4IG)le#B2Z0(tAWQlLajN}NANuB2d+en!2z^|Q#%5R zQXbYGQMbcQUOGn8=*f=G)u29Jxm(9r^1U{QlX>I<$S{|`)mdB&-4i`g=SAy+sKN~& zO8jR?jW#0vu2_mFJjKzbK6NbP&d_eLT6}nhLvN;IRfvMu1xiEMDVIK6aNIVD6K04m zcAyf`bU#lb+;7~y2U(0oc%~z8arX5q(`b*vQ;0O|#L{tGdAQbH*5bl|`UOIX(*mo} zjEZMDynKW+8IJLB#iSJ)zo^?3zeq&(vc&{a8vL^z?A6)VwCOoA&R{a#D*8*rW)CB7 zi4^fu=A}KyA?IIMeS;`M-?lE#f`Wt?x;yNb$-#nxxD6T^s&tr&@GFi)URkDAmvx5; z7$?kWM9Wv?%0Pc)ce}MO0-<6DDXSk#cD%ir8}W#v72)}g-(fsIwdL&7co@l3 zzidA4)J1Q(hg;Z)!eLOeR#va=~(0!u5rVp>K;<;5gw`< z=d;mOo@5=Zn1et-J$!UYZaO7&vbI(RZ*qHOjn znR2mvDQVKRD=?x(|Gdm`I&0U?B#QX?C>~`$h)Bhka&u@iBQfLU4mjUy>1lU@|NQg^ z6)Vxq{i%*j+!Jso`hT08=sl<>6ZNT0I(#a_%3Bv{0>Rb z7?ZG98zZW{wAzcSXLzOKay8kWcDoS*bYP5byABp(Rju#%oD{VFx*bBVMjic%7q=AE&lBCOO(4>7yxV0h{GzMD%M>v{VS82ndNV zadD;dgtVL4K2fxh#fZ#x_<-T}9ieNpLj!VlA_dFB`buZ4@FVPF7Kd!%z#m5muLI}? zp14m7PugRZDJvJ;(V6N5g zWAP(-0Chu1g0q{(=pu?|tqica6W-|H^Rqh{T7E+~2^1q?AH}y8AfFlBY_NGd_d0{r zVYx-=56OprqPF-)Q?kv)%W+T=_AF%dcb7%Y*a zR+Scin?ufT^V-WMN&33!V<}i-nbQ%l8h-v0vSFZPfGu+TooUAmUL^bR?T%5ih0w-s86NMO)W%MpbquD^z)4)%B*Z@#_&nDh-se#B z+PgIMhqIq4PUg%4)FnSuP5r+hC=FC9ZvlS418%6d@ghvptM6NalKHHC|koYGI}f9)TrugNm=oEfyGq?0~~n$J2Ijole31U_3?4X zr`dvB7ZQ~}!+}Y#G{5|ew*iP@jnVn{WN{m?kaWm4)26~F9D{tHl$ll{f*%#Wl&Gn< zh^x!O%M5`5E-wdCyb%Kb`y_dAy57{=)CDFH51(>;@&PYX?MaZbNgtD3XP14N3^+n! z8c@np4xe%O&D^aKnMFyYm>bDB9fW@%HjQCD&JpvO{?Xy)r>5pJ)y{)dr5(8l;^nfK z)`2eefOOLg=l*cPozEVw;31q~QyWK;FVI0<{e5ia5D1?qDCedn`bJKeP>~ zRR9pj_y*zMNQF&tYMD+^yf>r>Uvy0JCWkSB5d2r$p)OF=PP&%_!2fP-up~$0Y)8Ea zUvkL#!~&fNaYG#zqLzmK>4!c*i1yjVj4gYY#6o43A8I~Y*agOVall;hE(^8cepQ89#23?fUoC?1@n z!&nL6gs(dS%{CpJM16htWfevYtZF*w>Q)b@Jdx^-;rrj@$vpscYWRlZv!hWza5#uR zg8v8>Z%+hXJdhnj7r^=^u^9VDxubH9ros3vhu+MFAi9)K;vVrx!7}_&Cn?R^azOkK z8BuF!_E@6wZAazmMh&sTupalGv^nZB1?EQV;9;{WDbVj2e*Yv(@gGCUjx7|-4c~S6 zc`r4^&3!<$%3Ap>e1Cek4MFDXd8c%A1w)y4|na|9YX@eq;pW>JwR0Q0k`QJtcr z-zP2y1HC&Ql5h7{V#FMaT{x#zFBNiiqaFw`k~LDMynl?NK|u;AN`(MOJPaJM*t{f- zfSWn|X6puJqz0%76bQZ3IraX{3C*Ay_t1Lk@`Q68aNcek+w~QZ61SQxA!3MiL!F#k zkOXbma_!;TA-VClbX@Y`Y17M=6^2fLAe{@t!Xv9{artCv4#Ih4bsku4b~oF5F5MGu z<*4kz-^MQy6*De+d{K^M`*809GOuc>>4*}!H+7E=SaXU|UpbHxk4WCSPGfht&Ho9F z-4zwq{`F4Z;tS2#0F)(0SZ2Zk>laI!^haTDpHxlythb$FOis_bHFuU~b82v9xV} zClaF$Wm}>Mi{1iyXGbaTk*3bE=gZ!)Z^ZYTNLPa1g{W)}zKwdNurK6I!d)G9el4vE zsGiZPey@VXq?xMVxuaTx@Iz$9u^RojxS|x{ZjMsEIZTRutV%}N0d(CMqs#)W0PNLbQ&XGRjo?kM9O~6p|xe4ryxSL zS_w(WSWUaa$wj-bOZY+#Jp7&fV5h|2D#UWAj3KkjY*2-)28oH9>Q>Zh<&W*Rar zM=GyRj1-O0p@hXD;nG7{hr*!)6?em>D@kWi1sB|AL8f#*%Zq{ei!wQ?RS%9E93MsHw6l@TIxT(J6~CaoDtrQjkvD^0NsRyjkG+^wkHE484J+;zWC8otqZ0=!a!1ppf4l~hFTe0z?fh*>qQPfKO(F>oH{M#9pOr#rkKc=>ISM*SqmLjK|1Lnx2@1d zkVpqM3arXbn>1|&?roevJuZZyb~vJY0W{uFNkdn5c-8XI9^`Z|p^~~j9TCJ{ndXMD z{(KO2k_e{|*I`_-#%+vnF}|$UJDq9PT^(O64JC@MmHu7c?_f(`qy+p*Y- zUyW}K>$W&;wIPOt3RE1xQ25EU*#j&wn|J^~s&`60c&$#=C63Q*mQUF#F8nec;mC!M zD2E<>sVb?^mL9Z%%7btzY2O7;i2}rWP_#SPTt}uqhW%yuW3?9_f!~d9zciXi7t>h} z+r^#R5#q%c)>$w^V7eo)ivf(PB&5YoJ=rk@?BN1CDaqrRzD5CIiMjvyqmzOz;V@PF;^Z$o&E4CzcVVqn|TDLj}ONN|mg^jn@amu^R)+w9Iwn#)d zV)o-(sdh*+GbUr|30mGcHDS==Xz#jsSJ>yEFF7YS9x5KY-V1xa36kPz;<7_3@(t}w z{XBdg>{OPkCyI%Xgp5%urMTQ(=^!(&eWJ65oAtt!R%j4b18k;0u8&~*E zNFpfcTw`>wS;?$k95cotc&?P!Iy!mXR_fw0E0hy2x()d;f+^*%S`iraMaYRp*XCMh zyK?6G5spzlIBz3&N$+zwzb;JVl+LRSuEHxu7A3{^uO<#rVVcrZC|0*gyX#p4j#HPpbV;DGPiZ;m(89c$zpIc8HfZ zLaZmTMOjDA$Fr84d+8!aVZl+!>vMbg zk*Ap`Pg-?$cIv<&Tu(f{HFmOT9)uelRI?1y__S(+_(57*EK=^0PeHh5t78o4Ucu8 z`4u1snq-QeEi1H@$#~HHN6FxUU|_3Rn@et+SD?^GL4n_t4Bm#BA0FrE-GE0=KlM$x zTPm|q;t@-zrW24wm?oY2xpS!`J4AB_$1CJg&(;LofmE#p=ZA=Xd!VzX zNg5ep#Zk!n0%drSWst1uUQME4Ow3J}Mkb1b5S#0i+>*5;6s~m)F*cu;$1e!Q-c&T?(M>)ErFKK|QSu zQqeYT87XFTueV4F)k63t)XOx9pbnT?i$}tSW1H{SWD$*wqm*K0Do?~>d&n;oEF}7p zgxSn1J!s45A%#sxWA8b+MoTn?9IUEPndTF%1H{2LQ~x;1TElXVX|PWq7cSJWsF9Sq z9Rj|n#sKn)rW{nv!gxXd^LS@LXzA=X^ zk!DvbZpAhbX-SpqEXpv+Q4!W!!#N4uj)B+-7Ok7`tLj*q!$aen%oeRNE9@8$;X0=T zTDYPC1W?3Y383x>7>L1$q@+QAsgJx{`j^S?c%oyN?^I*x0?ngki>ZPnA%Wdb)N*nC zDbo5Ow1%qUwhF{}qnbxe636NgetG(KQ&}oXC29AL#E>C3PcONPWTwM&lkLOzcS6m%`31-p&_Hv!vWfaE2b%8y8=p1p>qH97VTCD&<}Z=}n|zDr z3QHEQHOgYmB{kM6{C`l?k)5?IsFe2jY{4Y_s?*e{U)-GS9E!fDIhQ{g!d z{6Sf8drYt;Lv@-`2H}?}*aFS?6|6SY8F8}nfr;^UP?RT={u;=}IEET7{YQ+aUnM^M zR_S`~kca0w^t@edojPhHQJjsT=Mm`c0K%AE)Ko|m-o;qL@i`m_K>-m5JA>bj@6FQk zLW{*)&|}zi41lQo*#zDqIJAsKjZjU53~3yr4LHi;4oG;uBi3w?*CSSSk%BU>;q6)7 zXF+KY!gC~)Hyjk<1!sg^Hj3LqtBBMnB^N#}J+!yVs}sQTg=E3;pe@5IOJ3wSOyaLi zI%ag}ILQ?hjoJZa5ME5=+dww++uOV-p$Na}pqmZFdefKUWcW=%I>RBT@<5ETw(LoSG1sh2jIUP{!vK&(aV)))JyEMWIC z{IP04=G`)ziK7FQrC1qcgh}DL-y#VPy*_FeAg^0;_FwM6^V-$G)6vyZl6Vxb1eq=l zFEExyK#%`6VL9P8B?w{xf$$24+$>6{LR7ie1y(RDx-ba8L-6|mJh>{!0Ki7DUI(EL zOA%h_s9c8!#t(obYUi-mV>ZPI6ltL81m2oo3cXF9d3hB%(o^PiW>p9~d=g&mcwL+2 zWu21@Lqx~14-)mI7cK*pfn_3UB^1P7ewSQmc!ch$?h^V6>DBZe!)qLsX1yg+w6mN* z@vV{>D0c{8%3`~#yK$ly`cef8ZSz{=gXK@mK~vYSbA0mZDlMKPYwEIeLX<1YBPwgw zkC0LzX&V0?*>EW9y>V$M|Gp#BtZ`I`woYAOJ>dO%qEdORz%7o4gpzOf1_#|tdDLvP z5n^Sm9$1)*k@2yb-w`ByKOuA%ij3KZcpDtr+BkZ_zDanedP zez~6HO%8VoKWZ{%V?HH_Xv2HKVt>Xjk8;kSPzOm+Z^qihZPaQBZ+7^XW${_^B|fdN z6;bL!OOD_gm9iwG#Q=E&p3=1s4MZ_Wzh{=}l{2hPOFtc?0*fW1~Ja{)Axn0a%Qn zLRrK@*g8lguOz(PQFsI%7(Yx*gN_K$jubClH=lr894~U@0KfiI@}nh8?II@ud)@Zq zQR>CQpzmaI!o`6GCf`qpAZmR!80KHU9i6>A#a$?jrn zG4xL&ssj4&1Uu0Ja$PwLNF3}z*hX%)dY5Cq_nbzJS}9>LEL56uKkqCjmQciIGd^NZ z{oUkpD}XGS#r7V2Q#G0LR*P9|l6PtPR+BJA>||2#e?}yRMwd{6mHGOp5Yt~7oWzb+ zc(23EyZ)SL&gmbPDMeA3zDfgqk_DcQb;9zGVaE(%WW*MEm|`2jJ_H3euijyXYje>(T604m$G&=}?LF}8KL+@oRyx(D7iSNhH zt#W#6sIFRQ5Ykfk9RIKG%6x!`_k!eNYcm#RX)kRf2ZtV|mPQL7bVR1JM07N)E=7Sl z9>z__4D>M~;nL)T>?1utim}4oEe+uEzkvOF!rts0tZKW$CmiZ7e0};>E}noJ%)5K^HCJ|7Z+?=3#R-B| z+rV&3&G{(@lh?b}nM10rDpQO+9@;1k+fNgpj!*LL^rTeyjDyd|h0@dh{FOwSRitEu zPB8{2B}kz9V>nU|wW416&^=lIKz6jOutXr$CH$i!)wIKhtnOaHIVv4K&Ghr$V4Fvd zkSECtnnCfO3>iPeQV>4-e}xQrXpYl{>;9Sebh*}#FZaSxDk5A=RD{nt9{HG!jS7of zh%g>g7GX99|Akl_16xIRWoylRts;Ehf#sc?S`7#t=T4x2TrVK82q{gje93C1!^OEyBw1X~Ri~-TQIov@PV{Dp%3)Y-WDaF zjTm*z@ku)}`suXe%~m=ea!NCs=UnQBceJBW!-M3wU@fA?=ti4+Kv78eGX7MxXD9Hh z@f~X1>JiW(snRvfNH_?jsObjbKgoiFTuUT@2tt`Wo%R*SVK07jdJgh1i{NSdIHA%P zQgaD&o%?JYM2vZT6=1Rp$9i1YQIBppi@J63Qy9E*gU8n#r$;v8q%xIIR=#YSPsZCS zXLxDkv_Yfv2Prbtv9Tpv8R6@WOum!KQ9U|B9;M2fcM#=V0*p$ojG@C6p8qB|O-VQ* zFgIm<+lUL_a76O44;wA6ti=ey0yt3umaF48NrzgPd1a*q7{2A0w0j-Ua01APS9F6dF zR&*KTH+;_#+lya}pWUSyBNLh*qyCG9)Y=p(7xJYOsQjiSKX38(mHKMm2ez~qgSZ-K zHKlyc{mw-3jbF)XQe~uS5Vst{KL8||Y`h!|**mxx56Q!e2$0{*acDN6C`Q}F3p8`$ z=0xPAu><5=o2+3O&UJYC>05Ti_~YX$Sd=aGy?*3)UB_}X2)7^+DigN9nG@Cnw{&ds z%i{PRaB`)olhKgY!1GAu)}Vrf(_$M2!>Mp9M_>>BI(}r@e6|uXNsgEXDDA$rhG18@ z`Q4fqltH*Pkwt}}G-j}IScKa+_`H2@@O5vEX@;dp>;Kyl@kj7BF+z#G^JSbC$4jqO zLX^n2y`7^l+o%Ob1S!WM$T|my&fsf-%G;ABwQQkvZ^e8KcW|8Ynq5uaC_raLRhqQ> zd@QSrI)JT(Lns46Tm~vQDs?o5J37>S7;F4sRB=+Pb)t16a{F3ZK7gn7)t*fw@=m0| zaRF}trIgwyi&dskhdZAUmCCuddTr7uPNpB{X8c@MC%p^tZwq{6^GSYTzc>}{>cB6- z-^b4hm-A8)B<{pDvFJ2SQ<;%kZF#n{q<$xgeUQUlfq|_2>r2@|aC1?%6vnU7|-W;gC&85(CY<4tagD15~@Sh_O z#v|etfTQF#&|iT1SDRdX1JH?;p1Mw<=wlIT5Y8tN4wcPqi<_%ve}E&AA1bQZlME%1K5DU8u>ve z3-utfqQT6#k{a}VWanMr*gOos7_WkDAlKcDnnXRv*c+Ve@j_4Ady`tI9A7MiFWv`A zhLF+SfENviP6(ZCWZJ~^(C`pPEw2QP+6a5W30D74z+_w-;2>N`MvSY_e_zHPRmBIq z$g#-}YV`rj$8|srixn>O5e@d76$HYOKXSPbxG?V#4q>@eAzhSLPtwE+I~=Qn+3rg_ zbvsc_LYzb8m4grtl5YvmeFA3@r7A`Xi%8^vDk9cw8k?cu2+nwtJ92b;IKBdmyss5Nnd;C=5O zBXlKTf^(oa@=0qqJk+62ph3=5%|@+VO09-T4kWCK(jA0{krK^r#&)dhAMVIpnkA!6 z!RNIhDw3jYi>)0~?Wx<4l>R(i0kaYzp75mf3sfKy z^JmMP6WBetJyg5j#2leJ za^taWq-w+0Y^C)AHoG0$u1k~_o7e9!g>+_fGdgwGBguvOn~ef7mWx@08Aqns zesL6|&F5uG*Tez@P&Tu~=0Igcn8!hjV;x@eeb6E22dYin!B!a9)m?Rg;(NgK*$TxL zq85w&t%0QCpy!yIYCmo%{2&}6F9z2Zw~-nHi?|4Lj#7S2F-q{0wIPxq(Wue1=Owa~ zF2Mx4u$mfh9nl%j=`E)mx5ExTZ>g5EX!MpzDOkd4xI2Q!`IfEj7uy6C(XojQ6~hhH zc`~BOv5Y!>{Z-AmOoMj8am#N~TGO~)lu?oelBEIrtD4MNj@s+Vh)M=Cs$YZ~9EJQO zHwyBs_K*Bm+%Gdkqho=UXMP*SO4nQSOxlCvin1XDrxDMJX}d4iZ8j}<7bv5;0hxCS zE6P4zuQ4oAR+{KI(^+p#B6WF{Jbs)!xb#-SmElp2KtA3$O37EG33fH!nbgKl5L<=> z(oFP(KMu;O-YdeR9f@XE=uoPOmn(WoPwwMjmKsNBhsTi1z0nRmu2mKomZ_C?m&0Qn zrD^2`M6B~eIElL6yU8*MmWXmM2uu4fIIgSJ zED^qE?5zmP4*O6RI|<4i8}S%2J}N=miNwLqsdlY7(3~q_#Zk&HL8ZdAwWOMrNr5tS zX}a`Qs#%$<1m(C$FV&6*uwxaGaLf_O``<|n(x!Y0Ncx+D&{>6R%(*LDp7`mJ8V!Tx zjX_&nW1HQNca-uT_qdRN7h8JVX<{EI1x{=xA1t?VIv%46`@|BljR!cwnqxDc9XvL% zv8Jp-)Q%`6F4Gwt>7@noI2>s(pc~y`lnNnLnsn)Pu`KZ5>xQG3Ul7vM)wH+trHa%W zAk#h2+>O|e#0m^(ELQYHqIpqSGcXj$k0C>DFS3HCM4uoK|6M~NT*orsrSYjM$B|-X z-p^a?iRmlYo+vj@2H^?DDps%NjXccQj1F9ItnyZmb?wMX*fqh@5L5jn=7G+M+g6@y zEJ%qR8G`_5E1G6S7&tO{ji3uFrwtUm+89ot?6X>QLDyB(zO$VS{D(wng!1Zana$yZ zqtMI8Q0x2+(E$HBYox3at(f)@Dk0?#P7DH zCl}!+hn#nWDyvbX?}7BVKQWR1pao3| zv2;a0#M+BeaYQ$Ct0CeiS%U;tqD~h7lO3zPPP2LG3SQSlYOBluq_j_dhTtu+X>gu+4i1#(C(;bj~GRs%ge%hActmWuj_g@45* ztce`&68<82aP{K#c8J|cz=t>EJo}7D*kBm)$SNZB#7qe>2){&dsxisFMD2{EFrITp z=(={A5M4>^lZh0ZX*9Cb=tyqqFO!1h!bBbVD-JxbzSBh1rxl&kP(SPOI;lD=rc6~^ z{wl#a4N>)FD_xHJ+%tl=mKPBUUX><#@;Zty_2lyi%T)`-T4MPzZV3FE!_6OUFkHy! z7aawz$&(kKwN#hZq4|mOBD-HF1KQ~@AH;MM7Y~Lyhi*sXTH*PQPd=m5_?SdxWS>UJ zm)S?J4n{CwTM-t8LaccTOxJST@CA-eJ}#|8QY0vonlNeod5SN4<%NXhU_i7?ym3_F zJsw`j{Ks`!SuvOO&wgp$Ibw|BuL2LdS5cB>q`QIlROH=QW`LM=9FwPNcMa3@GFJGP$Pu zrG)1hAM9Ifg^lnshnimpOILpQc%=%Iuoqo<{aAJ9e~ZuzXmbYv;SF=*Uw%du?8Q|` z9B(y&vf9SiMqv=5N;*iqObGF9)W1U|SX>4h!Yds3{|_&!CRiX33Dl%Qm0r~EkP>4{ z>pj#4d8K1;F~yF{qS6Pk?+LN#XI#Q9(N1ayzs8Yh7JD>#j)a#k-Eboy<+L*% z;w}O&^uR{bYsrmfDJs>hEQ3=KUgx;vZ8IB+cHS$=5!ap(kV-wI+P?7b5t>SXYv=Lq zHVZ?d)@c!b-x0{WG-)}8<-vR`93(iY4dUdABl$?hX;~FjSck7C5AGB!BIEvec!NXF zuZlTkAo4{0QWwalsw(&c;Fx#98n>)cB_6X2i2{Z0OM)%M5O=W ziW{O(2T5_e*}}fzZD&NN9A74&8aKA@WROk9Ez)v~p;7*X_%{bW&$7PVLFX-+5_;$? zD-W{Lm$AD7Qhf^`{wWc;!qLG%huikWI~;g^n3-A`@-Iq>TK7BMnmmm_W!xeyZLD{a z44Fz1Wu#y1!1hmvan}&u?wnAT4*!lS_jSoi!d`7%^%Og*}I&*i(rhaA(qMyH8VzzN&Adq>>XHbF=Dpu|)z$3?%< zUF#qn1(~q8si&2)^tYMuj0()LCI}|~Uy&5e`lYbFiQvMA&xn$BtUjy*O8+n2Iw>;I zvzy1zuccx6*9N-#61ns2BMvlg$yVColDM?t{xUICCzg(H^iQsJmo?26@Ao%^k_C4dM;%}@<9+n*mfS!d1xxgXH;|_ttiP?{n_mBz!_V7G*2+Y}|Kr-q_lff41?A%N z6tej{;)>5SSmufsD<*`GJLG20q6=TvM8=3!fhYHwC|#-TZ!8jIIJM1%Tsj?;}yPG1C7>ZYh7TA2(D#8<$5vxVF&yRUyw6e1{`maKmrw9&(FKJ$XiEg0LgaBvZlwC zqew2T5V>L<>4g>Z#Az+`QDa zxvuM3dfN=PvK%3beUJ!^R*>Xfb8_l^wI6UUEqu{Y$O$zHHiax ziiRp5q{2gJ$>xfwAr`m#lH>CT{C515Pg2HjKWa=Zir0m3DDmV!$chUguN{UMGixSayFALW;^g@VXNc7-C7yC|1UD2 z!c`Np9eS(B(Ar;jJn}J9Ywe?$7PxR-dDH|7gc_f%!vcZQ9E4^+$Kg=4k%1Jx;gFm4 zGoDn`sw~m-`%iV4*91NPP2x#JhIaw*fN1!Z1Iw=~_L`>k;)LTz5ogZf{}8AekB!ME zNYJNe`fUf=%&3Sm^ey8DOP5i>0y(8wEe8aujK_Y*-aREmgzq{Ud2L*V3r43DC%MAH zaw?DkkK;UAxDP$>zhpsu!zs44L9dqz&=$KQe9v*p?-8Zx#)&-?8yq2Da=5NH+!Q5j z&EW7Y=zX8`?gDx&zQK(o-ke~o#5wn`C-&xhtyG1zm12ZoDGe*BQCu%3Wm9qT!V9s* z9V{6v!j<^6_N%Xa`K#9G4)a=sM=m=$GeaU zT`$CTksfwe2cADRXhXT~@{1&Sy#>ldnLS)R-D0LEx&jqCh)6fU7V$Kr@8-bs@dn+r zFd;fp?30NUoCDFfEu+?VCk4)E&Qf)7+Z|9%F`s)lCe2De)XwmZ5iO^WcvTyY^7fV{ z027}nwDL97(XAm_xh%1%> zN_3@6s|Psvyz8Jd7(08m2PprI>${A(1^%s^89z!;jzyUhHp#;S9co^0Sfg|0-b4ZH z7$dET6p#a)cqRCQ2+mO%!&+QmupKFW2mimJDby&p;pkl7XjEFTOr`2bI1Q3S71T^Y zpgs{m)eTamBMsxfx6VU8xaQ#@j#e{ID@ss46>%bdO2z914;K=YJ{QtWxNESic6aQh zaFK&=rc%>pyAl{FT0n6Hjex3|9(xTHHb|=B}NhLJ#v=(f|vjzoSxaEvQs(j8Y2#3Gqi zns=&iKP*+2PgFn-DC3WH1S>=}BlU99p`P5@!kORb$Av2#k!H&TMJS7^uzDuimDSf@ z#2vvn+pd0P5w3Em`?8&oULV#SMnXJE!S}C=J@O!kL18)u67>3weFEE>;uRvXB-%^| zSNPJy|1t8T3g>FMl*Y$H9kpi4Nn~h?)WnqlrTTstfjKU4Y5__6>)p1vyItB=4|nMM zvJGR?!UQP+`&5e6sX(8aASIKl$%NLwrI*11T{^ysalEk{_Btwg8_%eiB&A}XDsshn z-j`rdBZDNkL@)!#2FN}K-fSVQNKpLB7c%q@FiA}#85jYRM80?R^;wjGO<>cbeQB6- zO!8r<(=@}de5vFy8DTBD(!%BTE4@>gz))wX&@0uQ_meGMg?>?Vww8N+%yJ$=Pb2q$ zW10`pC#F#vgvCA^EnXbn3F0ElkGSP9x`xac2`c*QU7Wzb))8r@+x21Pp#PW4?GH&3 zBf`{~L-^Aqz-TUxGpdRVk8m9F_MbI|EG{8(Fj4fjhOqobciVu33L3@%dW6>yrh#$LacDM~AcfOM zNjQ=6stcXKDk9}LI79+8agda|x`m{qFz1k)tuFSsLfa?tfMU|qOa!O|2(Kgfy#Ste z;KX}jMvmp*hQp4|HTe1XwO<779DRmyNVce0agm7Fg5uKx9`mI25a2|o6>3N8Q^KM^ zL>Z+FSLIs1HmicPkr#{cyWnUZ$cDV=qqDCO9Z8j< zoH&5ISXluPj8ZT=Y7WLXk_p!X9FkbG5Gz$dwUkCa8l>(VpI7jTB()dumo77n^u8)o z&mbl>7)Ct2-0-L~g0mhl$4T-9RgxHnSal$@MEePQ!#K5hUOGJ5LFNr{gH#FnmKAAo zEPRd%f~F96{ICOJA2%4uU(*6FFwq&ElhF2KNQR zN#UJ&#lyI@c8Cp%OWwkwBhgHeseoGVK$x_|e7rf1{exX7(d8_!vt-~jZ(;9ZFotCZ zo*x>i1=LzD-(960;l9j%S-xVT&tYt}pg=JdmJF4cDuFmDYtc&W4r~sP7nj%#R(qE4 z{>mBAvJqQ%;gYm;kmjJtj~kYQuu5o4A*uLK#~glsX-&<77R9B>WwVqLW$>2^J;no( z&1c`U3-#L`?=bVGO=Uh*e0B;t@<24D`0V(AGmLc(CUaKBJ%tWA> zDk0D)P(gyWS0W*nb~?r$f+LpqmK?E)N9*K@hLR1@5)0?K$%Nx_rQ5-=HuTKE!RPg~ z&BgUfu{aYYat}ngFjfdf!`4!X7~Eh_oN$QED#DFUPl_^Sk7PmRw_=VG2Es{F;5JQx zj5y>L;F1F|qKa_JamZ_c804*%;qVf*NJ)f=3wEs#$2Pezh{8KNlYxDcw7NQ zE#Y#}x0fK-{2LOdWksc*_3?`ko_5CQ)sF2?~xZAVQ0(ktchDW2_ok z*~)k-@j1HIixW%87ZpP+Jk614*7zzyySpk*I$ayzwj(i}ewN6xw}zUQeJj}&p6;Oc zW?O&kGP6__Dk@a=99y;TQ9FVpxX$s=m)LLN8IC}Hz14v(PwI;&LDH&l&yq=qQV~R> zI_K%7nCFmY^fMjqzU+&eJ{>y3eu*YOg1y@{7ck-CaZmab1|D_Jn6U=)79BmuC>O7jHDu|0jvErtDA2cfXW?vC^Zr zP`ClsC)SkbIN*khXcBS4q7`+yN2ngr`HFLbXQhx0-`da0bJ0Dz7Fl2Yu-$@Lj^z!@ zGmPOu_+=91M$!NwWjr1?=wtDw@GFjPKEEZklgf(L&?vzYaI$JpI#U*o!&Ad4m<9d) zAp9z+anRuFG^oRK9ix5t!T5EdoUc_OO04?Lh{^Lj!gK6k&jlN?mhDi4Uvmudj*<>r z?%RmZ?1agpKd%)xE4u2}iA`s*vwVWCD-KX~7q_H@TX?>M&)dbOFKpNj3zSr&iHL*1 zCvo7xrcLkPAQv7QK{$tAWGssZkGohy!GrJu$0t9cl}{9 zN|eMU9D&Bg6wHCa1(W8L$2N5lg(SO)D5RQ8H$MBzJ49C|JSXQG=rhuaKF!r!e7CF4m;qM2z@w%;c zRt$+WT1F>Mk-B7A7jQDFgY|e7S6RyHgHrE`I|#o=MiwhrV@i3uQ{avv6l+4&3&$$2 zP*SXb!5X}*ZXZ+vSWdhsl9AQCnasMRBkO|>x<;-_EdYx?B*sK__ z?RX}rM|h-mQfXG|5RhgIi8`SLt}#wfE3)}+zA1;6#FEWvevf;FCPPaE=+LUl5(T4b zg)>+>7S2ZLw*MI!P{HUuRNO01;e+=&9{U-?plg-u~ z?{hTr-iP&QEqQ#DTp94>F_bX=7o*0=Ya$ znu({QS|)I$z8+4p( zS;%m_X6aaKDgokvoYsS9ULj7a{uLR@rW{K$CH)dU?07Zn=laN(pm7o@E7gH`assda z*FM(kFBGJ9C+ z!{3l1y-J1_rIbELlq?EKMSRrpoX+yJ4jhUwj+QRw>C~awX&!e?*ro3JTN1S0J)|=C zcdb*wvD2njtG#Vf(>{5$fa2{#CTM-o(^>~A;~159MS zY%qk6J1+Ygwa)M`s*9Cj1BZo3Exl7P-4FTqWWy#==T6PCPdFO+Z8dqaYAjSli9r_q z7p)=2RV7xb{3NldHv3@}*X7>CC0mk+!>1g9y^Y!dK_hHl+V%2YsBXU`q!xdPtbN=N z8$L}Uw4E@TPq1il|5SM))n^=+X5mhExM74~0h|{=c+sb}%VGKtq{E~n3W2MK2&^q_ z|LDjx(|?>kMduVsgHf1{*df`1h(nEs48$VGOB<(zb~hKIfR^SNoc?t1U5Fu0U!OdM5h03#cU%Pyid{ zJ;+J?85UGT`mSbFh0i-K`Ah+|@lUD<NBD)|_IDcbrJqJ|ohY+la45uc+pWs*o2ViJchI_$iosm+k2#6gihn^e)6 zDNUs%Mi{_Q!h=MpP^}}=qeb|VW0K#l&kT-I=8+bl5|5%4ItVH(x0bhPp;%005dMR# zWUc9hbO7MXj!xbcvQF_SsU}W(KgQ%47wQB?-;gwdRpvhl&mCp1Oh|1BUvbcR3&m#F z&T-Kfh?LIft}gyx-Ol|gp?Tt^$2tBrhkG&pFy1h+SLUNSBltg&Ha#`7e-QqQ!X;&K zizy)C>rQ-r^)8*u;q!JYB2ZrHfc&?7C$#5(6PKo`nB8(#QGCi|o`-KZCXdX%XcDtC zNznIAe^8$_{WY2uu=yq2x?f5QqSr0D@l6uE2$&XuXV@)BNhMepy%gQYpP7NHvG(vS zNBYrO($+f$p^WWQ6F^~zu$&N+0CtsJbbW3 z-|+ShRZ;pLW8@3=;m%1IP{5wkyK)X$3hj5uE}7*UXxa4wG1T=svgy7{9_UIWITCa)np_K@wo}UJ3|FUE4c43YX%q<4p_ODL_Tmm?W1ZiHes3 zMDqH&k(sje??hx8x@H`=i{m}LX8q2NLEg}{0c&!!OYBpUD!novA;eA9&>mV2n^#!! zS312lroW2FH;JDw0t-gm4VIrX?Rr zb-lNN11qcB;cgDNnIbV!if*5vrIKLfQGOnTyOW35)-Y~0sj~?8aPWJN-R7Sj}ilVjeNm#}!min8xXd6X{Y$Ner4m)pLTbmchkZ={x>Ufbg96KP1Vj!d- zJBt_qyv-!s$3f>^in89e={S97DJ%_fdZ-?pjD5IqHE752imXF4Q)(jsaIhG`vHzjenqZzr4kt_R=RPbr9N0WxPO#fIIX$S zXXeQR9fQ0&(*=*uD||(gw6ts-Cgc4<1f*tn8^(Skh57%p(Id)Y*%y|1OV@(&4> zL(da5(&6;5j1F>m5+aLz$0txfgv8h@ygiB&keiv}+H)|4hd6SRjmW7SZI_X9#UzP4 zy7K~BtA>0bNm2VtNC8g zrQC(2g_Eqv9gazU%qC@A%i7mn$f{TwKD3oe%X%kCFngR0vfjsKnHYCPxY*(6*TK{h z<036dut3cMhRz)aGCFh@DbN7GtuzQ*)9(tq9ey+Su5!Ii6eR5%ojLe+8%QnEG_ySf zrESX1Dwg!W3H9d?M!&=X=Ywt5@M*_OM`m571sg9VB!d7}_)V7~j1@}qT%I!$nnSsUvL$0% z)bYqq#FEF5i%=6Q=Fd#T7=(urn~Mf~g#wd;LGti$hn#PF8x0i+Iu6&k;--kQ83Q59`+k8x9MMY^H9>x5Cfcsu zVV@(E*A5k@sg{YhYqz|$W}@xF*`j?o#}B2XJ&zhA#AVRKcH4`7XA^;dFy-Kz^~}f( z{3udv^m!FO2>aa&UmOlN#ItE_p%3c*6mq$A$dCMeih50?Q zk;0F(0UJx=-GB`yloeP#)|w%M@_sDT9N1{}u|V_W@gO{gbZI`L>*fACY}!25am;In z3Plp*5dXDL+@xt~_tnC>d=Xm8O zo=$T^MeodZ^^o$6dZ<63n6lZ#bq!76z1Z7%5sjN``WJ z-8sQ52h$Qc(YT6Jt+&DbExE^6SFvTss#%W1h?(Xki$X_&b%e8H+Fc_=_j&ha>V2Go z?BJZJ8nfi-qFiD3`UQ} zGNdWH5n^S)BYHrna&R3d5iTWhaBcP_6jOvXM;3 zrJ8(U(^1T)2wMx8KsSnp#LFTE9Vth75-94BSi5nvJMFQj%PE2*m0w!QI5;ZS5 z{eQH5d4OD5RX(!sf&#Kr>;p`9CdtfX2nb2Kv-C_l$#i#S0wST(T}hgBx|;i5Cuw98 z*>@1xLH2zU5D*X%*+fu4Q9yoxY$75eDzb^c?>pz7``$ZMb^9fwf6Sz-y6b#j-FNS~ zXS?T;4y{A2Cy}VKYVYuTFtgnj_WHww86H6EB)D1EOWc?^3{eF~`%% zNoGWGY%x5;;pgX}=J@=b?580}6fv(K?6Cjk*3Ol)yQj+VOk%NcBu1CRvm9K0C#ojk zi0E|h3~zH2gMF|5jBT;Iw8mI)cs9Xr25^LwyEql8*#hRxdx%dz$1$0}ACA^Jw&GXT zM3|2JFu7_iC=^e>!~dM@>1h+j2hhZXtf>7|6>QoPp6i(8AHgV9uxX39n(=t>maQ@? z*|#IcWlaH!-7vd`qd9O&e~)CCMBp;D{090LJkL?e`&MbGjLKqFl4Z^8iU*s}kP{gu zxlWokRje0$J~@dYV_OCv9pkMTW79bbn-%y z5`}_-ZbV&}91JgVY}#3QP!Ke?l?GmzIC%~SV`I+6qQI$n^fVzZ{RNqtX38X==_QUq zJCmky*m0;}SvI^UXExe2)mHXW8;JrZRdIZf0~ucCc;u6RY3w(s48GRksL2$gcLIl2 zBy56f(F9KH2rEfJD-)8DFfUK!q1tZj#Djz3<2Wd^ zVbca%-h+p!>Oy6POe+AoFr&npXENppjlLzM!gYP3w{{vmjf?O~MTrn!Xu@y-T!>b*7KJKSB)yW=Z=%dh|lRO#aY5BeGcLXWJYY0!9|73R_ z1)Xx`hDAieYaNCBhN~yZASdDv3OsaI08QyJL@EqkpHB0ddPJV4UHXB?@j4QdBM|7J ziO%ie^^Qz_v5t)Fl`2l2!W@3?OmP_AKr}vl1Q*wiBlH;F=-~3F=ydq)!#V)=N-R8@ z8CSTtCT?}0v+*Wk^I&fmZMnb!+=Z>tRII2{3VF&H3%%juZNy;8i$zeFB=Jn)+Z|Lp`@TwCG^FXB8!8`- zj2BDn6-;5k1d{{?KZX+w@&1`VAfwyXpU=V~`m~hIJI~(X2wsK{tZ$ACe?UXzOJ6K| zLX(0&^bx(2WVz2VlxB5c?{eJoip-vqMdnyl)`-wWu>ynhx>om$_9X=8Dx!7EY;t(F zL(bRe8}gtQr!d)Hr|^R`z>He^J%qd?AaR?(k~-_?T2os{z0?T!y^hOVt0z>GtIN9f z#&95^Gf~m$*kkKpW%ab{3pboUB6VthOgq%BpLFT4LkPs?BOvO(^t zA0<1c24VkLe&S<}(`Nj7w1(Cl9UoUBl^n6=4=i12Np$bvBWQ!pVRB{a&dP6?nyWv=Pm>TsUz;w{35mufjzoUy)I9unRwc@jJkGw} z>GP?7(R;7AaK3o+Gce2XBFE13}vx#6-1f8!YBgHY>6 zH&m+32)Qv+OEb(r#N+rpImih}#89P%yLS|=M;wcMJXG}wbp3pkp%24e;TMHG@fl0G zpk!LX&~$|OjQ`8d#Nb1k4PS61+L?AqPMi_Eyu2<}z^3``E`U|~?TaKr11~kF{F1|O z6ZwxHjsp94_o;rCKS ziLwdotU9800JF$g5XR&iq(QGR>NA}6Uy6hWDxcaLV*()y;1I6XIo>JsXf+y&kPsbG z+bfc{t7$6eg&#R$?OdRt8^(Zexf$e2>y!$A6fv0SZNqH9L^@NV-Q9nYr0mwn{$d{w z;m3|syKoGX$Nad>U412bDr!pmiz;aL6Jm3sNS18#CE=$I`fN?;C`Urbk|W!E3CsB9 zTO*VlrwaQ9r(SJ8BL~ry$9p)|k-}j=cT`#`4H2SaP&5R}_uQ#BMU>&ciArNpc5G|t z^ow)DY#eK=3lz-h9#SCeCH+6dWE9MYE_kM`w~S&{M8Ov6fQ75wrCHy62%lPiy*Rl# z3hqrD9dcl@qw}nrP!LyVLTR9t2Y86pp>?Iu4EB7AaCOIVq7}y^$mS`lQtNVMEyU-9 zLAwSSu(bv~iz5<%!^tmL7Sfq_Azah3$a~ACkT>`>2lNFsGgAsm7nRHM|GooV(&;CC%+Dv*PM9m zRhRb5>pIG9ALxJ+-;`T(;%8jnyX%nE6(M^dfX%YlhE!6ZY4n1$ns6)>Pt&ReJijvfu zszSCYKKQE!D<6(d%*`BZ-fp(IB;22<=h#g}MM-2-x8x1l24yBi6L180mCX-tP72%< zCAww)FPM$lzt)tU!{8@ip8D@2XqK#n-MvTtvT*cvbmY@jOqy(F% zMYxLt&WF6rxe__LKn6t0c<&{I6gXN zsM9kZC~vPsN}MPjD+NLs?nP+UlA6!RoEd&&>!b+hI}*F`$LrhXL%+V4EqC`a&e%l< zib?B`Zd-GK7Pa&JW9Z^6ebUFs^cn!iR1M>fRNiN-_T&MB1;WHH!nCg?F*gv4QP)au zRE@*J1rEHOc`{rbRbmCN(n!@W(2|36nEXj!By4gV@`27Ozz3(8onjzJS3{C0t9>Hg z1vO(kbQv}in+}Pc_GX*De$|cOLPsQTI@;W_HOdi=An)#0|>zU2z_sH^2?`zFnp!hML!S;1wF4*CN8YP6cFWkci92MQ7W zzkUA1a{u&FZ$W$0;91_^zG&HB(euY)n?uV_vg(UMf*fEz%-|Fb%Odz;yHXS_YGBTQ zaFovet_<7BgFze&0je9uBvu%9I4XHnSo`9QG_VSj@ENU;oqE~99D|GAKU9v@FD0D-d0L*Z% zRlvImOv8YiGn`74xFcxELsxqocHS^B1+_sx9Ur@s8S@$h>FgAgGE9*GZLw%Qq>}m~ zTEAJ-;eAW!O(_RvtfmaRmp#(6O}Ec;|p) zF^Rt$tzvAnlO!GP^s*A{0js%pIq7h~W$sD;v?9zn8r!lo(zF{)IoE`WW}j7nGRzW| zibjnP?Dn{*H_SQQcFWvE=(o356sTRWa1e^S=zcUtqLYkUhWhok1qVrmA$#2MK6Y$% zFZFP@Mw?ua_-F*I48K7x=A>lDN+W1m!MQL zq)P_eol+@8EN2Ku9D%&inJa~e5=A4JhrkwYWtb;AE#CC-VoAt?1J7@b_U)S`)=sA2 zq*-C5AU!gmS-`15V+rLM@SKl2{7L*pi#ahWI+6q*LQd;y7z2e#$91$gOK*jbHQ>ic zj5?ICNsk;qD_%A($vsg$5>3XsU{PiaVy9||MdH&w)@>|2)FJ1!ceRBMMzK|(+Nm%V z^<_PdeS*+j6+K?`Iks{F6(PvC;Sf+*axB`d3X!7=bwH#{ivxNr0{wXe1|2a-q3$Ol zu*v>K3}I;zdRTT;_Qz*cWY2QhqfmLu$sEQ33}Jw9Cy=eJ5edXARZsy&mf|qRV_&8` zRvfqd+SLFw&~cq_8H+h^YE2H3MTw#!taz}}9uFgd+wn=My{{zu@ zMXl6Is#i(n4j2XZ=$URo)&oW(j*nsJ!zoAXV5^a9G08lVoDkkV&u*=>po~LxOTuYV zW(1iv3m0tOazQxbxaG4PHOH~mEP#Ua)^2o)z|UJd=w&I_2ci`-`s2m(N(D|>qWYRD z0DUybg!VnEjjFwT5*f>5e10ugDhFgM?Ha=w1NX| zk8%X_0oY1&kBl``vIS}vRgyrViw5y)v*eQS7>C|^mTb|b6{p)Jay_lo$ZSE4j2`;w z;NI_fNkPka%pLFJRj>OD)-LiNa_%HN)=|r^`q~7J)CMHV z{9&D`+Im~#-UiGv{0@0YegHvfZ5usy8n;Rm;c<>eerGl1^Kks2BZPW_hCuU!A8+40 z_F|xM63we8ILLP9)sTi#l}womlWYeh6+LBmBH@$o0oU*pyCX&~B0R}4I5*$JNfnj4 z1Id@pJPxJdI#310YzgWzW~hdU75i=mUfF)TCFe#vpo77D38fFyFFe=b=Yt2i9cECtlpan*6B8R9o30T*9$Ewm{pEQmx%oYE zWL*pEe~R!tM=L)p)xI(iR1)lS2Xh&PK!(WA^bT-gom+gq>%023HpILLt;E^6E4_+3(QFLx~R`@YSaqERi^ zkSH)HmyE3)&S6igV+}DD|*a?OKtmW&kA|;8mUCe zROB3(mb@0MKZ2p{MtK}9H%Nmaa9l?L-Nx21A-vvkXcq*o-A7@PWD~=T>uChXycCq& zqWuPu8AGT$#}8wZ%QO?;=y+U#zg}O1wRDUdP%;lMXYph;Ki@=x)L~0FotQYi*>P&O zI&f$KwW3&nIzj6a1pwVzT0I5kJgdMK^$W35%yOrXX~OX zZ8)|nU15y|z40!hV{(-*($`m_zNUW~um6BwLegBRm-Raw4-k4QkJTGQ5+7sP6EU=^;aN;n9S5Ia2q|4r9&BiuvV+ zG+A$4>eai^*+QcZ;&W2TsfvrXgm*jSd{kf%Im(fkt$3anp@A8}zy6pP96l@u?hYUR z`eR;*8@704p$zXK1Ddt$JCv@!=0)r1^;3lRIzHR7BVmfa(R*k>sKjli^@P!(j{Ul0 zm}tmBPSk%A($Ri^;eC!t-lD8bw~--%ns9Np#TJOo2V-d9{Wdrfch>B^T@cg{;RBA+ zWUIkxw3-)G(CrX=0ND(P|(sIEUFGEK9}6^OB_k2vh<>?~+8F+GC7?mUA>BG-0V-0Gub z#J&3DA{I06Ul?dn@G(d2(k!*KdQF~Ag^}XL5398fo7PiM(gZ|%B~;Vn<0Q+}jOJFt zCmgf9+OGy}Fg2s^$O@iCbPI7k1WvSjDjwUP6PFW4D{w^x^Yqmx9e)0RgN@8UMX$*d z9~}m)RF6cHZh~71u+Uk9B;+7@e|{|b_|$eR?fsM^GS%u4q1066s2F`vc+*K2S|~C_ zW?|;Q#H>J8&*amj#VL&(iWuVT0?xQo_)AABuRp3vO9>kAWwaxlT+wT(6JfLpQ1UI2 zE(`|xZIBYD2~(Sk{qPw_ByVFS!&}t1UK^=QRGfU-DF&Fuvf95|;>R+4mY}>K;begU z7_td|&ar40+kq@vJ#i5Y7cCau^sHG(795_3KcE|M8UC8=ID=(yp>w1b3cWWRsdn*D zgbgH+9BDOW${bB$o>~#q=Zymr8mJmd`^?`u4*6AVtEgU>(iAA)lNHdRc7*Hi2rjWt zOf2bq&8PvY(Z1l&^I42)mdd9WP_2s4YFs%@$?{Zi!^u>wV+C#6N&B-he37JRHpvE# zyHX|BlXBi)a?~c{U*;37gO-68oGgQxh&WI_^YjkU~|3D&~q%ew3F2ZlOdgQM= z8tsA>QA$)^O_62`eS?tnUC^nucP6dLZ#uyIpr!Dd1?0$-)fZcHsGMt6}FTC4zgAl9iSmO%1I&|NoCR2$~S({f%90@85Ae+9{?e zLzy%L%A=(l#mQG_>%cPn6Tul=4qe{m{#^%}w<&TqjmS%3LU~nLHD&l`;>u)`+A!)+ zSux>zjzNCkPTS?s1&8`%ldG#9ucfB}mSzW`J9MU@&57n5#)g$I=oW!G$HgT^tiJEq zP$XkYjb z$Ecm*5~b-A7$I8jos0JNLAL(eihCP-^Cw6&=Bnggt}Z&d;ut2wjcC?EzTBJiUSNrA zg&#SN`Bh`Hq**pslP4xbvSH@5rSyLhm^PGVozXUuSA`Yf#|}HcUaA#ad1xtO#`L(! zl~dO+7Nk97EPG(fJ@n&aicI=PO1SkWi1U`7Z#Z%`?*8T8&*k;Ft7=Ipx4>PfoVz>19LBdFiqxq^T(GL z5xB%>{+moB@zGO{CT(ZGa9r|_$fn0hI5OSdQQi=z)41#83fT6Y-X;1U8xfcoXV7xY zcJZs-wOI?@Za+~Wkw8PBOh)~+Ef;j+0Eq0jC}W$TFVN(uIY#!#Anve1hg&msv)^TFZ)eZ=yfeprs27=wz3%J z!?hi={Nt)TgP6mVFsVK^6)3ZX+drD!6F{!{LbDCR(gKrN4(EXCr3lw`=#$xTS%3MM zV0mQh;(~3su5QY3JrbcFi8(Wb=vKpWES$N%qmwUNu@y8VZB~~m36dFsvErE$z~Q4tj3h7LU+N>_`J8w1iJ`ULpGq=|Uy^vW2$5m69>V+r3Jus9A?fp*Im~w3{k-+2 z^YTQILX82UniDrCJZB;eTWAZ!3s3-k3x}N7qq&lly4XW34rCA%J6e1n?L82q)sk!M z^^6>#r+%=C$BqW3(1(LGskJmM9B%0d;$=pk>W5^Fh)tC;$j4x5-HM{GiO=JLo?f`M z6P#Cv)qkt)T1>6mIu7~Kx4AadBddv( zZ@#yJDZ}kZf@>0iOjKIpfW#7x&7h-2ihPCJJ1Y51l2M8BR4I)VE-|6lw@?he1dBc! zq{i)nePS@m(sH&49Y-g>3atoiFT7dm}=2 zJ(Pj)x?klmM7B_hm)o#Jt+O+NqNxTcaivkQLiydzvB<}UYzCNCmX=Q-58e`u%+5Q3leYx6}VQ9vf;tqT1fM5ppwUanoscTb1iPVG`e z!mi5`fPMSwH}l<#xLkO4L#f@Gi+jbEc$FF2YB&<@avdg5N5EbUNSCRACFvv2D zkro#nDU^LP=*JzEZTO4PYk(G~vlNJI?2I1M?(RB#8?eI41nS)C+d ztY{`PHl}3LZ{i{28is}0f1P}2I7>7^Pa)sW!RHMsn;ew@1+QL9T;zb>;Mdv3s6{-0 ze1C#p3*e`ZGoH82;pTUc{1g$1qOxR`P=4K*+fHQ0>i9hEDB})?pI;RDITB^ct{u-X zq6-!-3|iz9z|S)5_5H;CuJ*l(~5)8xZpVZf4m5DVk+Z`kLUw3|q_{X}Uxot$V%ZpZgzd*;LA z?P2ib%~o|_Wox$n7b=K~Jkli5CnL7x!f^C6@p-^qoe@kX4$La=(Lki6+&B%-7^NiBC+ ziIv@FdU|qKybz}h40+GZX6C{mJs$&6JuAGae599oBv42{agB0Sh(=ci|7F$`q5 z77KOxrLS?hhFI50I2ntm)x_?6n21zkc4~xM7;LHV5C@NYcmo*RiG1qKt7;;RHe zmjooi$NojoBV!W33r8G&-cZw+-+UAi7idGElsq0#2)K9f1(`@pP4D6NMQ39(8ikM( zgP`&3?pSXbW%4MD?S%zLE5B+jk%!dYW+gQsQJxL!y*F*S_ts7VqQ})E4Ga8AfnpJk zI{bXd$sUUj{Hm~MyTVX9iE27ro~3V>;TVCrix}ILHQaQ8Qx@U4gU>&e(O=&L9y$*w z2cq1 z%BQO4QooV5K_xEEbF>;EanUf#VcBs!cMY?w2LpJN19e47 z7&-zWC$xs6QF43$XDpGvKC!wIRveql@W-PK-b&x$c{L8@jF2zx>?}|4BgU^sC=k{s zvZVPFt*XJ+!$_H{AV!{G`EZ>qE`{Kz=4~lkgz?k*WW7vRq*4%@TJgxLgbgu*l9MYP zay}S1Bq!IDCr@ODK-g-VO=ST1fh@Q=(CtRpjw(=60;e2}ycVa=pv_h~+R-TA} zDn+hz*&Vto$8mCO2}kdtDaE;@Qxwmg&z(Ty4x-b&)EilNauX^H&qgQwV;z^ga>`{O zhsrtB^F{MXGdKozN_RU#dRDT1kT zRtR7Esf4E)T00z%l|l33X^us^$`F&IBVe!SlZsUJVm0ZiD!3{Te>%A^4?^dPJ^jNo z9EE%1m+MbC^UY$BnMt#d?K26(Wf;@PxX+u4E0+9+XF1Gvalfs6*8#p7DwC*4c#xjax zsfuMh*OADZa<(2ILV@eDWJ%1%@C6Ga3fzzrH-2>GAUtFISgV?-Q7PFgR8?vcvXU>2_$T7qb{R(J;;ren%XF?8gZcdR32zK9_&+7QQL=0Ugf~_# zgX}w&;f3qd-5g%@e@b_=xEBL-H*f8rFbXMBJQ;e<(u25jp7y;IhYc?4i`S>WDZJ$W zl>VmS(__;x`ek@22{T!;fTlr9{S|s|;bo3sUdP+~tx3=+Tzf;*_+$lP75KkTc>0km zYx7G-LMnAhl?N|(RCeNT*VnQtO<9bPEOtbSh^6DnuOK0+7q%NrEMDnYw2L}WgmS10 z6X|eXYgJ#bA}BXHGX&(Ct1(36!mAzfwpQPNXdQeKDz@zoxk+pL0c1E{LwIiUC^uR> zwk%WNwP%G}nfhACf4C@5TCe;{sBCQ86GoM@gPM9BIdFGDHlc)z8f$XG>m85$$Xf)` zdJQ&(N$bO@hWztU-;d^x5lydBpOfYq;PeJ^qPe-UHdgk>c)EK`LPX(>j#WMkWDBG^ z9_|I&_Wvd#-WiBV`||`1gMwQ3h)p}~2jR_*#4J9y{?ahXZkHL2BVO8!(+)ChLE z==!D`QyJbu+Oj93tafEg8!m^pI(~T@E#v3!liM1I{7m1Bw2bBa=S$l-sOm0)QVWMs7%H|REpb3*+9`0gnT$D5eMm3Co|sX$h1=;D{CS}=RiYX(_ei*K^bsF z!6$mAp&cW$#ba_Ix;m~OaQHj3gF!J^@EdAXOQR%9g!({4RHIZ7%kak}#Y#KN*v4jK z2ygd}^^uq_!Ur9zeBf9We(#JmzlcjC=7R^Mi{(CR>HgTntTU0&%kU>;$Y;ecINf2k z!0Uw%IacigekMa%*(;GK>XPqN1sZ=!Xoj8ec2`q^A9k>Ly=BWJeLmr;I9Vu@5N_?* z|BQ(BBQeX|4 zqQ__D+8|a3>F?ys6!!SPA{W}IF)AW?H#9=|jN{QxISh-+M2V6U)pPqWv((U_EvM=w%{ z?%}ZBd~d_ZhE^t7HY^0k(F+HfF~%kBmu2`onJ_w5n@_xpn1xaphrc~5TBa>c*1$}y zB#Q!JdW82C^g0SxhQA{n`p&g0l*1R!ibORwOE|R&i~4XE3V5wpjPb#mWEq?K<;+;D z9hB6dR*v_#f01P9NvARwZDf>8t}i)a?dr0Im%21X%N7z#U8=%{zb7H)s*B_JZgQB4 zwpf4?D#Di?nQi#H(KE;%l}OU(G(@OqQIzdT5BC|upsxo>un-fKX|Pb`NC^uvP0fDA z@tAJK!-~~bR+p9_SQ!mR5OCC}?IifDRAyEx_^V{cl?6Q`w?TxjIX?M3lP+cZu+p$s z0z47r8f0g0ca2))9|+8D;pu8y>-Ah?WPnUtlc(Y>%r9|43evibQB!obT`*$0V=qQ@kB@`#cB|JEbtvF5+ZA z+sV7@I?|8_OBCHfh)UlfR;$s|=h{uli|}1XqTO%|sZ|>gEpf031?(h1bPgdWZhW}B z$yV?89E&a4xnWx5WaHMRC`&|7@2N)qUkr~!g^j zRoL0H|H?Vs4*%~&zZTHZJi1?m|8Te$v>FV2R&hm$CWBU&_sw(9*!dY||dAKXq{JEZ-<34s%1Im=f3~0aD9D|17~{mqg*B-a|4U ze(vDgMNrUSptMso2s73M9^!CWFGxdSDs)!Gn33!S5(e-al8Q=0w( zx`B`>^>ugkmZ1J$O_Rb{MD#DM$rg8UBY{I7Os* zb8$X4Rk+&SnkCQM@E2`1R7MrxRa*1shEQ21J5jZPauGba_&f9AehG-Obj{SZ+XFdm zkN1{V!qpw8Jy}jRZB3j`BzxtB%an>Y(UBYh(JF+Tt_2wMnMY;QH64NcrdmCu0h33> zNhjxn6kM-s;zC9rq|<1))v4DwU5iwxG_@*EGYr>ugz{SrDvF1n@~nwG#NClwjRpeH zNxA6gT<^?D^H1_?W=B#@B^rhpNp6RM{ULBF_PUN_UfZPoaNsh@C{HxZ3}|3k%_syK zgbKM$h7rm1Jh*ijZn>7gUB)pB+b~v%^a8fz|=~`vf`+MuPGf^cicA+KF4bx$91 zpsk1`A7m2n;o!!+Y8OUl5h6=!R7~x>+sv!1a1$G733mQta4Z1Ex$lx5prOd zLDm_rItaIS`1uI8J%b^O7Qznk0nWy295k~a2Pk3Xo!^Pm=ll*6X6JX1s$J@x-#M~Y z;?j`NUBi!3e0_fBOu!j;RMp*qT$z&KKEo1Ebc>};5ju|Y*_^i2gOoa;=7#c2ub@&ZEwsz+pa& z>Yd4tQPBELC&^O|cX1SF@Ry@^Mx)4(7KXpq8?Q-KzO^^1Wh_Q++8oiRgrsQr;+dU* zf$*>*+|3cmTj#Yc+HTlT_#{wnXk^qzZlM&lg9j&l8*yzE>YAaL&S1`*K%7>NVq&cB zPFmE9FiCMXBUTp{;XKE!jb7yHfnHTsO?hJ7?h}Zp78^B-_aF-{z~vt962aMzaL=>C zuN06|047iBH*pmrz8|E^(CD43^VM;VdyxcJ7LJ_oWLS!#obR~gQ%yEuy0LW9Nt5-& zV`jEJppOZG?+DK{_Y03YR!iJ6jD>bLSl@SyC-DKz2sNNU03>CL<=>)3$5Y;Z{c` zZ-%IKn1tx)q?b{qY@9o=zoY3dHu!2>?qe)sQN~!Yid$QdNDB9LEVi{8k|-wT$-GeU zY36#c*3fo%acK?xITVc%fLQl|?cvu+id#LD5zkn1KHK2j&(X?n^*T5v#=7&{>q@L- z+_xt*8=np{-gtO>dR+u3?oV2@qLKPMvxX2a_x-W%YI!`h>EGtqwTqZE@)0A23rDD= zGi#HAydA&;-TJqa<1N4ukzz?)N=O6O0UuuK9_cNG9gbkTiQYIr9VP3*J4nV66iAk- zyjMXrj)GsIO zmxInbfGIjM^ac=-C{toaFMg9f-s&J3CkD~oW{ORc3 z)fBV|)A6uZV-3-=n;u+2b%1n}G(>o+Y+W)%Ui5*E^4dguGM73w`Q(j084;jF>ayfZ zqp`b2AN5Yg{T4L2jOf?qsGyl5a-Vx0Zr&`dOs^sFSP>|bf{It=*PXv3pgX5|l;X6O;c_yi{Q;X-&0K$g zdd4x%59LV4qvWr1fI5AwvbbkSnY&9Wtg>d3MVNDBx8cv$UyEE%RR<_UO1rqyCJ7a+ zR7Yh!B=M9FRz#>98KvS4P6(r+4T~d^x00$+8;E?XrmV}3d?cAugG5Uf@?mL6^aHH& zZfySKLg4Y0dP|l(p~}KVYzC(20vPI=7$RG2?fCv-tuP1c2apZblZKXY2SGrM(*qri z{PthbKwvbTqEjMuv0`RxGGfW4u-u-QpKd7TSct}PJN&s z3*l+fBME?%Celp^93`9VA&x;_DH#JR*OBh0!{mwv+y^i^K-Exm$%UpoCJ9bE#&%nb zAz%>|;mA3WQCT_|L*+`iVwc3-8AKoyIapoj=~ip?FMLv|@4S`58Ho*B>HMpr%=3hs0D33LRNUgw~xJ zt;ey@5k(2d9fkZ}ZUZpH3XTG0=85GyVDB!H0e4F3kFoM}uZy5Ia}eR7jzr$hi|S{f zj=m;Q?C&`u;NioDV#KQ#HZTwdhf_e&frWe|u#CHYduVjnKaDlC^!g66moImK}#Sh8+TSQCVtWA2NB0>~?RPbS9WxgGZSkJ8&luzSQ{c*AZ2|3atA7tlIyWX zLfp)`mSLDk%!7TL9`4BGpHdYXhmk4funv%uDqhf)K&sjVOV|T|W%w;p;hf<-bCdTG zj?K1KL*plJQ>ZA01F}e}@pvRju+o9O=4|Oa%Ax0LrgYVck)?xB6D7rTaq!QNnJ8=& zwc)U?@{cAFF6MOk_TuvV%F-&DJ+BtwF^*B*0M?U|gLueTFe`lwmr`oT6<5r8&D&EOo~@nE zl)%SCOS%sMZCFT?CL#x`8Y>)8~$qjRn|~H140D~2N@5zyD}b68r*-drOJH? zszAaM9EbdVY`QoK(Q#@@l!b*GV{kt06cv!-#Nfsg$wGY@SVh_jIt|B@9F=^4)u_v^zbXXE^+Jk4J@I zBE&V-kSP;VPmou7@0rAB>>_zTX=IrPM(*-ij!C<4u8C73_Npr7SK%@yGgjW;*-b#S zb0H_rTP^XyJVUAs|CeUD&vA6}StffhNs{tOFDt>K{unD${|0b6eF=)zE~F%;1S?S4 zTK~C@$33&^1gGkeuBr~Gig`S($KIwW5A9nBAyHzK_p^*hQuEsPft zks?jLq-OIc;8!4aFDi5w(nYXUo=*n!Bed;0w9S76yfELLOwli6r5D$;@%u{P@*#srX_q_tRVUd62*U3-Gyq_ zv7?Kt$`t>Uh4pf;kRS4gj+x|9oSP98CiTvs0^>- zH{he?kfv$%YR5Bgg4(zqjTI1eQ6ihlt(r}*AtcQd8ebC4DtY^Cc&!7?&*fy*X}i{1 zgZoOPbn1|+Z6%z3Wj{y&L9WqYWD8^RI+CG^wf>vo^^Qhca{YHnm4Sz9uUZlNpgR?>!LhY!+n+(!yI5APen;m4{DYZvD)F@P&hxYFr z`*zFxLg;|4U(pJM@YlibR(dOAn>Sq&-s*riXTNK0Yq>~AHp-D@$2Q53i9W$civALO zUcsK}vF!d7&JZ!(&8Pe}k`RMSFI}>y6W;E~SCbZpucSPVbU-Hg>3j>jLnhmk+r4pAxEN}S{+J41d3U-gQCmu zr-U4M3>(9T9p+Vf3>yz^#Fx^?fQE#OSYdGCmB3w)6~Rmd_Z`_%C$Wpl#ZG1TGqS74 z_M%1%A93{B>DU;{(`jmfy(m)llcZcfN?@)`COl!g7vWAwLT% z)ijX9jshj#9gmFRV07)z%J3Hi*WpLI+~w6?_>@D>Kky2Du%LwciXvs%(@nNF>P01= zCIOnTpvA^HJiA?lzjP$>1ONl;G}BFP^9 z#<5}T3&j^(H*CP~3*5<#Vw>ghemJ&a6Y_gUP^`GN0mbb7c^we>QLKl9d=r;&$bnCd zY2ZISeo>E$~p(1eFbK!S1Zw%A=|jKX4MmY)SMlk}Q|5*wh<0 z-aCBB(YrAFfNDE>JfmfT#Cw-b1X9I3XTSHdgC?83PP|jM41Z62hJL!ZD~`V(lawk> z!hG5BXt#RNKUs&!%M%dz2ucD+N}xuOb^3qAudDE438l+L_=-b6R~4?}WTNbp1F2Bi zvjS0uuM)d9_LqdOIn;9;`%C0#K^%LyMl*=fv&b#p>VUjl*`H_D_#eoCqaVwsQ_r~Y zb;l&Xf7)X4P3OE=39jx~UBoq}h)2{@rr#hFYKfKpX{hgSI{5tXSNlh8TheJD;>4=u z-XX8FKo*4oW%w3gR?ia~4&{Sd{UlMEZ#(?_*U#WL#0t=C9SGe__{BK^SIhbO<#pe2 z4D#V-ty(}zmbV3<-mHJ(2>#O{XbRR0mjusP+TG!4+5(rN@#lkc6P@#RPtV<>b84~6 z?X9|m9t}`P)V#z2=k>deZaXir;k?Qw6N^qvY0HG+1~cHa{xj)t-}6zsXdo8hdydk6 z{PFrbjT5Is=-#v@dWEcBQ>|tA7jk0IvVJ_Q{!A=h21$$}sL+lDPI9 z4zyL9)xVN5pX%btldE#feheCNxnKaV2tRN$Hyd+lj@6lt0G=2?Z5WD|!o=B_8*ljfY*pZsfK9HQ=8i61SOgjzBjbLfd z;amb2KA1B6ggoh+qb&d`L@gP|vTACUUuOak%%7FvX9Q=F zq}gfl-+-Q%*xY{ZNaR(!k%%(%kqs3rkds=x%J!N_9>ryXCM=}H>4Ri5_6YX(_=Tg9 zSJ~C%9Ui<&a%HofG87zg)>s*OuaE-EZH}@s0e5^YruvC+wYxV9oVVf6*4Nc4NJnH) zs6_VmRv;3(kZh!QZcH)D^TOQtCBPr*05j!_S5RcinKTxQ!efPNxVj^HpcPRQt5oe3 zF1j2FqEWE;yH2+gDKLK{bNd=(%jqSBCUSlpB|X;mFkI77+>@o4+)Z?ciw#qhnoD|IHdjvR@+wxie9v>Gw(qFAwbsi}Y= z4|=H&gC>I3CgF8#>~Ixpfyi@rxwllE;11Vy}mUDjW1Y_3Nxb>BmR zpj*QA9f`d0Tl2t%#Z{-MI`yYu>sd-GD?GKH*Lv78p0T8#)?! z2P|zb8hp`VsLNARjz!84-mv{|M0o0I*@VVWfq>NHnQ&u=pV!s$S;Psfn_okggwS+j zi<=q_)Eva$cB~0F*48hR#_d2OtxxPu>1u&Oe(EiRn>bqe4bHT;$#fcE7=l=}d-|u- zWdca2q5PX|d3pKS_dEQ8zNLR`BXwOiz>ycevNEseRH8CLniiu z3b%BO@^(U6fCH_hykMy`shn?|eMTrf)v*>) zCwr$RQ=X&LXsx1C9!jmT-9<&RX&fa~w<8~Bzn6N)y7M^DhznID-dBX%J2v?=osAR) zFkYyP2BgZ;oaw36-oZVkdbz3|ExiNDa9iP|f}yBpLlHWTNq*z4rW2PYY=cQhuTzz)OFxes@8Om?-JJu$j59;HMVvng65EP}R2&%>ZM3|U;C52ue- z%b3q$A>73=$QQTSQ%MZUlS_B5q{)-t+dnoVva4BoR{~SlunZjGSj1)II3C)-IQaYk zR0Sqckmwej8eX&}a4jVV&8LXy`a&}FpzRZoip_5=oaeaY!_jTHM9HGq4y+xRvTHwh zFoBR|xChBx17v7~-_sE|AMcOWCA!b2s|6rH(q3GgQG@9by|R+y zL3cZK(=S9%q6;zI1eh$b0o*~{_KVGgMQURSD}-@}mA6(hJ1{O_rIWM+1yQ{&j{Vjy zyWK!M{<1(Pz?I`Xf0m+M7dZU9H)k{2l>rXQmAO4@aF#|W!$wlE*!2aQFTOZzas#^x(}I=k3uwA(>a-fnD1Ll&~4C5b!>nw^go4-@zE zLPssX+D-psM~L-C4QaCPaJs4R%{IHydWGn>=Hn6A%{=$JY&EsfsW{CU4?5f;Dkx()?VMCr+5|*sF9^J5Y*peJ%IP zZfCFlF}kmi4$U5QlW_KiUYLdSwmMRI|J7!)iW>C6n!;sr93WgZIQJnNZr-VngYA9c zzK#m(B1Wqw9UqgT1GKoX(W>x%-EdGkQC*`WjWX}&aM~FOCP$I%m0YDmsj~IhyVcjd zKWWgo!?7(iQi(U`N-_J(&+A;DV#Gj6xMVjamE zY~51e2QxnGa17gp_M^OUo&0eE$CSwch7=cS^&lGZ8?uBJ;_V~)5vg#TAZ3Y)N+BfX z9B%Z36ClTo@E2jy5zcS2Hl#zUe!b*Ftjj&1a7b@4;DK<=dHt{zdPzv&-xQ`fvQ}L# zfSWmYk~Y_&ba%pekw&kmU5<0!{V>jG5iZhnc!voV#O>@SHP9$(Hwn>Vf?q0Xf9#?7 zN*Kwo$C0@de>8d}R@>|FsF4>hMr_(@;J@`c5g46X$cgGf!^>l})83alQh84!jgZuY z>-Y@F6r^1e$VT$s&Xt$pGO}P%LGrgHl9^hQ>~&P~7Nt=!VM@kc=>ZTEEhA6Yz50y5(oJ^SVGi9a9MXw;Jo%RSbj@v}tJrAR>F~p7PtQ1HFFerk$!`;tFE;9! zIARbgSvGtct<&50P3_t_J2wui*?x%*E2PBiP<7zg!-E|I?sTJ9O!VGjhom?+;wzmJ);!5_&uFYd%-cfjGGfjsAx0$`&b4DX zXn~641&Z(x$D>`q_o$UrE0r9AWS;ibDPY~i8kt(Upi8!Nnu}wL;fNzOo*f)hC-`I> znPZFMsm$)4>P*c{9U69%$2{>w$xBO#I=%EUX?u=|k0Y zC(J2^|B{+N>Ik&U!7=AwbkB?<5{00H4#Q{=uSII2?D>@=<_6 zPqQXVc9kjGb1GX;g=!w2rU4I8LJ^S%BcaO(AoD&g>=-G|_E5*BUHskloMxPDhs+vN2*=ucsQwH0OAB+smM&vCt4>->pGxi zOqLy!yn?Ycl$bCG7)427Edo_LPM?6(sz9ZG5ZUinQ6KJzMO>*VH|17rwFGU zRDM%6-(L>aVGPma3K9Qk>og_HOq143*yLelML;xNArmSGHsVMvFTxo|ByVk~;)Fs7 zef`1>Vd5q2w65SW8G%0gL}n%ztrY`1!=P@V2oHC_d5vv@ty)*H>*B;&!Yt#}#O%>p zzh?Tkh);DC&(6w0ObhHh!qI3K;b%tIw-A z*{ITqtqHz4hRff#%Ta#J-`^$$+Er$dgvUDkZTRJAyQ*@fF?s_RJ(y5g{AR0kXs%25ivTR2(EWq3R( zG0Xrh!COPdV2Q&tN1Wyfj#@s7UX2aHZ1szvyjaM)hNuPM|iULp5`dz_i5Fe6rkU`E=nLL@T*EoJe`o# z)p5|UQA6W~XE@CK9JK+jY3qhK!G$fCx?q;!nZ)I8#kvOGH5I$jJj(&+m1H&Eeg-zA zibY-PMiYNol?OiCMnM#n+^&q`%J3XVCT}GqRW*38riM%*Qq&b4QLEsLF0$lnpe=sa zh@g^lzPi=&xsFIXb0Nf*K@C~*u%{`#ngqW`R3_G7sWN~{^MQ*K-TuS#9CSV%(a4cN zOuZ0)P`K1WYh4mdRSDfn-7~h{l2t2_1M1i`&LAZ$&nMaIfNTu1gcmr5XMLPrgEg|R zABce)&`1Ri7nR|K#ANo^j$zuK{vwB+pCPtRhMw$=di-HAK8C5K};1?&9HDQQ9bMK97YQZ)iu;6Gx|A zWY}cugR)nsJVJ0|1d^8b*Z%<31rniTgh4#U*O5ARL+Ts5prZ({cNE*H-+D8cBuk|4 z+CMWrTdChS5S5NHAJGv6XikJTI>h|Ris~6bXATrAiNr&E%JP%u@bHH`R$Lim#rg7! z-jW_qL{ED0Zua*3D^LM%B1LZ3=nmXlPW^$yn;p-Vo&<$NpQb5L_QwN)A#~)&3#*}e z3wfAF5xR>^GlsW15_w}K4VL#PqBvRMGb*}Kr~5Wyb8^7<*XDv~NPHr^-J!P|f+$0$ zZ$qH$LsZ1DrmTA)4|~s_Ko=EKV2v(ZjP5Fq5psuJ>>&<-bm3Z3f$wmX_Tdxj>tmG# z#S@iZ4nk^Q;dYV4gm5?@6sjlnPEx%VfN9_r;a!eW{uxzv9a5DDKS*DCr6uA-@B{^y z;SUMqPn{u>3OgT8Q7vxzZb#uktwyEgsk0$~vO_U*Cf-@Se)Bz~EHeppOcz=aQ+Tf< z*m5R8MtW#ChEfR>h^guA2QI7%m;Q**T*$GjbBsfW_ni}VJs{N-C{{|0YnS2uM5TdA z4M($L>@=RuJgzDz!Ur63-r`TISDRkxoEVfUUlBHCuXCjVp?!*d_p-ONjQ-g6-9P9U zw98|wkTmj5nbB+^Of~j@LVP}UBqyb&ZY-?eP}YYW{5Jf>=+&D1c!>v;d>I!;U8pD# zJ&}bvq?rTLmORFS`BT!M`=3m%*wiL`*fGgZz*_h|mJWM?l6E_|!Xli7j^@g@^8QDu z?M1&75~0Tp^;NmMA8{n|n!@a)0>?h*<4DxSiPa9>B&RNt9sN-vGZ`vjTy=Rr=5X_y zJU0bOi5K38nPI`S&Z+Ja^9SM6Bw~hOmn}~4A+%I+RPqIbX>JZC%vGL- z4Yk^3R^CFDEn07)r2emLB&gfO66nr{&p7z}`b?^FFdh*FiWZonnGthr)0hKg_$;xx zN0@||z4_d^!Pm;Qn*w!%tX$5ybmhli+qdUlVZQd?ICvJyj@FYp5BPbV2sKHvJY{o8 z3gPnvwlZ52Z{LL5FUKvlH7E>FWLB_MuK< zREEE^@sar&LuX%bJliSG!{`nddU3VX#K|(eg3CeMrkCN11f{yhQyeo^;Y$v+<(wSw zCQYEMiD{UXi#*LVg>I|pKhDE?XqG|(bY)kNk{Vk%aV&hn_Yk^nap7^q{XR$*y`?vYrUAHH@@Bxvf&g*Zb*3KTl7cN`R&sE`Ql?|8pA?pzZ$ zzd-pOlHaNXkt+*dcciBAnbGUll;@Bl&`}6tZtPX~j>6;UD?2F3afNS?D5sD0#tGka zjPlX5xU<9_I&pi6uOtMM+UrEM(%IWx@u++|K_bXZ2bDV{?O z-*#;Bwef>iKvudOD_}>#T`)bF(d{5<2&=3f=-krbX@ba&Ck}Ac1vkTgB!7!fFr`_9 z?>MgcS#D|{)>4%N&;g__5s~83F@p)fef}HO;S0LJ~_~k zDnJwQt&RYd;h)LCbX^QTFNN=&75+Nk+N4V1-1cRtItg+w;fHFFs^^3DD&%x?&R<;K zA@`f0w?hgnh3`9Z?W$e4=6zYvQ2CNWVOU~&Lf>q3270GBBKdvOh+sgZ#6B*bnn0m2t-|9)CtrWeb8+Tu9?$DP zNr5X^i}s2CBZuF{n$k}zc9JCi!xVDkQcT-{3CXpJRw=~1BQR5NR$}YG9z$~`Nz`lj zwFp0UTrS6_*54USuJW;08h0OpB72mC$MMTfq|iB!cW2!r272bp!q>hGBSBB&Gc zr@rRzze(!a7#emZ#tiy}qmkbOs)6a9>CK~KYJV9KfnKyYRHRto`$W3BWpEvUgx)EH z7R&GWTEVM@!`04fmM&klr?L{o%3g3FzQFTX=0yG_K*_MItj#YSK^e^wPL|ksg{z+x z5qlUaN*}{8vEqA95U8^Fu0bBUD@xGU{Gw|*2JJM7Mtf}{)CI;3k#AMt*CIIW-L!V& ziN0$)^lkW?_17-8ov<>G(NF?Tr~vJVCqR>rb{$e+hAkSJ@t-uY!gU>$e5IQ`iXjH3 zm#oDyqIjzVL}j=h3E7SZcf?L=Au<%g^&OdfDNV8!G)h*hw{vo38?LnNJ?$Lm0X<_~ zh8vI+cboa*ltnm;a6`u?AKXeqQ^X7J>#}4W#>g&K$Bl@`iNS537dXam5N_-s^FgiA z15lGGI973(Hkw~10|{5))Zf_JrW5gwteZFjdFRl+Gmj4Hq~uSPI4iTfDbW}*!*}N{ z10@<86op@LfO+#&-HGbs3OXQFs^e!hI8^2MaFEKbei@FESSBHY3;Y4=1_gi@)C zli9F~agzPDL*lA_YznE{W8J z1rf(0+}d%-tEjXn@ZbmYx(&(V`)*GyU$)2aCJr5oM|B%g;wp{R9vBv8$;)tCN2uMP zL@D}AoJdj8Q!1X9i-)g2=7j}3%Vks(p;ZWpP-h+q{nI?v5WgBLO~UORnf&P3Og-H@ z5``(BA(BOF?odRjJVcTlh}HIX2hySrSy&A7Cs)$$-f@ibd3a;Q*$yd6rzugU4BaSw zTWl!p9n4!GSn_69{mroilw zx2i{ecjB9ikDC>x93Y(M(DQa>TA*gu4_>S&V#R#Ku|ULKQ2VMie>>Tw9lbzEgU7v- z1A{7WZY&tc7}&k1$n(k|$`7iry+Qv%&aQ9CRB zZTMi*b2{I#+KoSMW%!LlWLz2}WXo_(M$kEcR!?n=yl4bk>9yQ5HGga|Zg*ka(aJwS z8!QM=N+ZOI^K1p)n7kWEgZUxcwT41CwADdF<+X5u18yb zIPiRO(x%%&bbA+)AO))xX5X7&9DhksTY?f6eHpeo%>14`DpOq-DZN6aOoijUlbtZ7 z`OVPdIML=;tiQ#(K-AP9b|7wmH!J&ZrHW8doqm zfrk*>xEhk-=%Tq=Z0*b{TnBKA0YMTTmH_S|i{vr>+ewQnfW{>%Vqq?X9gb1nu1=fQ zKn_mDX~#@GUNR!+Eu^$I-|S zMbZv>{>Ao4y+xxgSIicaQAiz4XZwLEwCNxZ368LA9%h^bTWi&CmpUr@z`5Oa&GbN& zrj%&14}pk5aQU6YS?dP&W#q?ci^*?+tG$lW<}4*$z4*A2sN~4rg;i5&ifMvTQ>^jw zN0tzVeGV(HGph+PP=A<2%8Ymb0h+e~?I(CGOeIEB<+&H(fTPmR%NY`;@{-lJpt)3o zE5qd^bX|#qg|SVN&5E*;Mv7SJ!oi zhd2)R#-FS|DJew9q9N_jh6vCZ>!9}-Z=FC1Kn!4QVy<~JRL4TEBX?l%3Q@+Lx}3z;fae0|!onLR>EKohqh9_gPMJBj~=qYgK}UK6g0h`2R* zhpvecq2MwcBOb#7Dase8CHhjyWsgNT?!fa0iW(>L6ndm+xjb3V<)y!|!;+nD(J=~$ zN|WYoKr<=6Bj8er_K?xrbEM<6-$h3B3HH!-nmK}IL;cj!KxspYa2-c^=-y$$< zXqdyX4|G^@XnB`FCkFzlh{!UVk(NXhCyBZ{ zOu(=QqXS(fL{`a>+81e#j4Zyz&#rrfCYB=_n;}mNok=NR`K<=NZR$q3mt#;LKiFaJ&-c z5e~H7P8(&(PCHbtp+A!7G&#CG+RVlHz5{`_W4RU{<&d}Guh!pRO^!g@izL)wA5B>9 z8FRRmVPC)OA*FpHJjNlmOU0IUu|r*!0sXcCEidb})BE<#9SDzgK zrB_L;AwQAGwS3t)CJeJW;YkiQ??>9#9F{LLkp}r>Lh|gx{BfM~#mM6S;VBNT-KeSr z`HD4R2J}<{QFo)XfZB5$=8jrCScy+_fbE9WBnhOwsEIY`rxTiPm>p~8-FA`)!T7RJ z5I)c|9D{b*4ihL0?8TsTBl1iV(E=+Z0`>Us_!N8*I;!DWj>2v*USBETO35Tj$G-N4 z$u9$Zw)H(M(!n7@TOM@Vlfy+pSJ~T5rLdjokvna~+L#VWYal zfuV2^M(6iPhmXXr0+&0#r`6gG&vQK5?GPqPIM|E2TmyeT!8tMO%p=iQR2g32D736! zuT6qcLlF^-%nM0I+|t@-F@a7NS1k5UhZi{>dqDfD&rTI?6kbdUjG$4;?-2$65(k?P z8rg(wD0mTM5HBSJ)lj!sTSiyma$J5m%pb$c99X-@og~RXr&pC+!~T6@Gd9JqhXmU! zYTf6{9q{O0?tt5EnvHK+muG;lXna{zNsYtC#9iI!4;aEL9p+hlSxTzDY*VgbzlzvY zHMqtA+FpIK@m;;%!U1V48D8!1+xce=X~LoLP9@)XyoNkzIGDjCB?#fQ4!vE_$zrKSs2^0;+&5D;dzN;U2IriMd0evI9*@0i) zY8W*Br=Fuy$f6jhx7hbDj`x;M^~PuM&(ZK!N1@&Kk0Rvz*Tosu+lbY{x6xB(YHQ%D zkFTJ}bbLD%&`htup|kLIhks?OA@E{_h=0>#8M!|oIj&F6IOxrBnk};v=^l&l4#%mT zDPYosi@k87jlw&PLM#iI!4a(Qgv5k(nOq&)@5K zwA&|4guvSi$}_M(A{dPzGvwrf*_VHx18uiam?#0Y7j?M?{(b{D<%%jkILQbC??uw+ z1Lp*8q6FMt)a4rZ9}}EgGOi4VyF_PTT)Mx64?5s>E=f&{VAo!YSi}7j;?fK;^Kkm) z!qI6B%7zb}6SPSZTzgRyYtVm6Xd2+B+0wdqw3_o1yQl1#f7nsTN3Lw;C5i0Pn_lRZ zV8wVP-l+T;snFg-JNtkcj*RI?9B{jMrF>q#c#>ooA0-C$Tr~~KrPvaE0$GRfF^AYr z&zUqg!y2NE!pBL0%WFmMo`nmJVvDr{h{(b93!iZK?Iv0jCGf+<8up*t*QbfV61bJs zr6vA*0RQ5m?eIwl-_F(Y(u9Y9GeQ`ZzaW(khG9ShPNI?LG2EA8v+q-mQ#-?GK&+4& zc-Mg$yHAtdEx-=dKj>$(G@kkl;VB_C@|TWNyS>PS2^D+Mlxzh4iUjC??U|e2t2Q$B zWcx9E#^JY%4iGn*-a?@gSd(oGK1&ATns=9w?dXPaXkh#}hwncT-wK~|JldJ<6eALa zMS3+T-?;oWxiA!F3+?jB1AQ!*@HY;>T`0_?2)wHv3hh**NfHY7q9)d${~w_nD}M15 zTD$d^cdR|Ihbrl>IP|Ns;v15Uz*kA&w(c?bE4sqh9F2Ah&W3*AIe7U-<{wB#DnI+< zJ64Y#?V*jr%#{baiy?g7F=%IXF2)Y(__ry~5Whi0&ccS{Hg}wkEo|}W#WPdO;hPS7 zKmLAwA9)?;u!&)OzC}K?1$FGkt3=Va9f@{2CyJ>(fl8!d{v$E(!7*55^@!NV>Lyoj z%rGiil(sIvdJ%& z7ki-+4e*}{$bCR_jpK86YtQ%22{B3$Kqt`<|HZyy)ZnpoMfko0Jm+m73N*ZbB_2DO zG?oFDX|MSR!VesQ*>(?J3ZX{ENd|F@*T0b$)gxR$p|4w|#t;fPt9L-=$-kDWgwHd;HoD+Pkm(_rgy=VwF`2Qq4XL{P5SD9Z9 zKXSP3roqsSSp*v1e-V!p-K@l!K2AXP7Q&AmU_0ewQe>d*MHFd}KOy8D0co3swUU`! zR8kF0GjQZ8EKb-x2X;FX-eI?9rehD(; z;;zz%(sxU_NKp2mtRe3*12aSf8-lut_xS(tEmC0x^?x7$sIt}&Hph}R;b z93#<+jQPW>^eL|G@Y)$TL-8oj(5^!?%lFKd3mV#FzUR8<1lX86b$JGOJpxi?n$tUr z2C-g} zewB1M?WJ}GRu*n^I?SKL%^Zt%d#8vIXfMzZZ%)K}0#VIZG>n@$FcB?UL>=|Dv!-t0 zxGdn~>(7Nk%xHZS4Vy~dZv$+ce~p~gysC6$DpDxJEgiq9R{XLWxRP!pZe=85`fBnB z*BRR4^fWJaYe%BpS{;%XbAk>3HpJ&vj}aZmfr(ykyw)w&eh#;FG#=P$EGn7Ev-3ck z$hWmL8qUbwj^wyKmFAL;&v6!q+dDejTG6Sb=v;0JHPAcQh@@)J@p&FJz+(yH6Uq4Q zI0|`Ho@8y{@i2z`8K6(^4nr_LcO)O?p)6>&6MkB_lY?)!VVVd*w-=OWV0R`M6`7XB z>>fr;cD;?n*9F7$jXmtK=V9v?4OSJ>}td}nn=^NMcRy^4nB;XFsEoi!|Cg~fUR#^@e4EOkvI zWoC?8-qW#Y7o@I>5;FBSOtulY7YQ^nXVa6rEMR!P!@mjv!|6(_L5~rdo8; ztx98)!~Wl_(nu)AX)`%d^`d=^q%X$xYQ1owW6`cnN0K5#kY1@w!@P)?tOZa5=Ok49 zcsz14K0P(P)8^R4j>6fPQX*7HTfyQ<`PHo7$p3!+BT!HjrqOF zyy4rO>M!CXN7(APT?OAxB^u&=h{!}Q_x*aNb9VcoP0V!O*CFp~H7Z`3JU#zrgfJ?< zPAWHmc!msi@N{Z_Io!{|U)&15;qygN26KPH(9i~*=yGVgnXt`awaXq=V(d#cq#EpY z!rl$A)k2DWpJHOO*wb5DfdaunKPI?$I5JnX`r=8rTeCSRV>n?06RXl@x~J!)RxM0A zF71M8LkiuJNWdMRNV`d3Vxvr(mRTs{b{V-f&3Cyp zJM48-wt@fp+Hs`$E zmwYnRqfmoAOjznQOJBvVsNo?FwB6ojQUugqM3DyBB_tng+z4lncX5vKh{J1FG(BW5 z6>)|&Pb|h!i-++n>1I4o_Ap;h3oah&u-gS# z)+xA%-lQNHmlNc|@{hFk#^<@pCV8%t7Y(2iCoDNOdG(zn-gM>ukd!xklHDSvjyLM zeZ5;kggh_)V6qJ8G=Uf%X++4b?1p93C>1k3%vqXvXB_fWJ7k9S6uKVZ^U{sW8oAKY z(aSH#XK_nWcS&D_hdT!Clw-Xi`w*#y{98nBxbp?>6+c{tM>y1Ws%pqYnm?=(4e^oo zT{Tj2T)m1t@=th_Lv3f>HYCZYH{Ma%hW}{d-x*_VK1k)-Of6%TF`>|1if7p#c;Zuc#@RE^Lz^Ky!Qr;kokM3JbJJ33F?HDY?&C)(JkGl0IG+7G8f ze+bWTJlg3y+7`>ltTxqzC8>t{OyY8TNpp>LBF}P=?JVA*Q>|7e@@!(=9$2Oi5J-{! zGULc6qizEB2&?qMa~%3CKC=GiWOa*&uIF1d$?~;~}FW?x!5?g|X=Q=X&G;lps z5ocwU{5IJ};P*&C3IMI)&iMSvh2-Ep&oRjBn{`dYO0wZUpZL@Om@PI@!V4VgMXer! z&9|B)LwO-lXrmP;%aw)k*=d}@lnUMOA_vuOYgI8axL%?`zL=1l+~#mfSFx8kxORHf zLeBgQytaK#!dRoN_HqZ^ zcJ7M2IBiGBHWsfS3$E#bu#I|N7M^;gqtY%cIv`X?4ZPccGG?zLGukyi84V2`{p@je zUXTt+uXgm>g{r({of|IAJp|4uzJ?TO=0*o+PGa}7>MFg~QEI35hqy|0sfPSIB6Bf5 zwCFF7Upl*g-_B*7Gp~2B?WU`Uk+1Is8sZy>$W7OjGX9PBpp?ta_E*DvFTBygpPlYs z&%i`kp5hp*H<1<1eOu9HTfW)xXy-SY6rBhb*wP*=2Kg33ik?7xk5Zk%o zjUZ(u&A{G9Fh1vn#iK`QbL~Mv%p`seZ+CF*63iw>zM#D@nFjg?1id9dYq{Se*w`hz zEIa%=9QdX95s%9`7U%#;W}~MR|W0mw%v9nKj)G?{bXVIW}If(DH8% zq8Y(IB*E)}ApP;#at-FjyB&{qq3VWXFMJ%p&wHl7H^*6?13bB?o3r5V^C5sa&; z${{WBVCDa(?W_aiI<79>HqG zMLiPV2O<{#Z7B;ke7W}J!GhYdEZ%?>ikw31|g1WZK8yKCiL*jFh3b00Ohv_TRTl*b2=BkE&7 z;RT~RmY_~5tN(hu3?p0eT~GIMgH0>asuuFKr!M)Q03X!}^;3HcIh4X)@soy~w(X2c zisu84qL>ArPXR6e>y9O{9ksfxiBJ19rm(}FVdbZdp>ipeuk>XI(#Ch{~+`4E$o;7J@Db+;F2RHnJ$0>gqN`uhU>og$RN5{!&5<)DVy#`VQT zdE;9guoTmaL~mb$HylMQoV=>-EKBUZ9v_Zk`TDYPme!h5Rf`oL^z2nPf|kAlOZ$nX zdZjeH&VAK@&+PlUm?iSN%2W+1e+|m$r1+WT(RumYJ!+Brx}mI2qEJUse8@zJ{RXgD z-^4%j4M}##!#52#t%IPDa`}*7^g!^p07kXci|Me^hQ0n1yPbT!Swezu8+QNc6y|KE zrSR-2Rwn;D;3Ep+&hPDwU5)1MhWoA|r}a-%@!)V3TaYC3dq5(}lf-VTP1W{n)z8Pe z?;B#;{iY(Ku%Z}QKL87}(}fd4?uQ1IHg2Sb^7x=fj)?maa6Km&M&w(lZk{#u$A-VG z6AT3uo&5yP3S(%_yZqF6Nz02KW9T4A;?F>ogOk~fM*ft}gv^=Bwc@26V;hG}%ldQU zWQY9n;J`b((Fms}_%Mh?lfQsTjQ(WiNZu&!m(l;qCzxt_sMP(^m`a`V)n#E&uJ!ZtHh(k@(nj6W&KrmDqm(i{Z&m4!cU&C72Jw z{%Po&lJX%}Q+obb5T}WM!Gs3hWrrSEwi7wTGdMLSx7+^PSV%j}C##;S<&)n_nE3xN z59H%1x;dg$!Bw*pe02Xc2GSZh{<`mcv!|jqJ^YUzI0?rqrANZ8w>P+dkPEF?0cQ*A;?q&v^*2v1;FQTGgBS_#r0HVmtED5ga8s54i z#B}=_V%ktVnrtb^k+&asA*#}B4N=wphPLRaDiR~>0I)FZ#z~6oisK>K_0pVjH#fkv z=Dl#D!blQ(Ah2lL*vn7z@H^&d*|r^I_-X6%nPePA^wOu9gJA~MdPIi%erB}B%l}%%5;H0Zd;bkSzEATc$A^0bsd?GVzVczl6wnqj~6ai zNk-+2C)U`vH|l#v!j+)6G!8D6e?Pb*r=l9*Ll1dcxfQHn$-gk;20m3{NyI?6^52J(ZKmpCGr7tN4YW$oB{*b z0l;bG9WpyDhgYx+h*m_t1$nCRkoHokrylswB~BZ+feo}LXlniTZq65E7w#<`C|_R4c!5T(67za@qMQ3Zn--e2Wb`0 zizvOQN8Fu&TOl~keex@&gEvmUzl37ws+3d?%h9{H%fA*c29UAv!RO=8am7Q?)35@ z*}vW{H>PCH`+UPsd(%`>J|7}kqAvg%okC&NBRlu+E;RH@<)03YZw4%NWb$-z5nT91 z#Jo2SpTW_O++4gQ8+|+bNS-$C3>)!G_~!7X$h#PPTKQwP7v4dTB=W96>KJi$PG=_M zP_BfT(hFQ-m}zaDTu0zLfBXTH5!55_ZUCb9Yt7GUG+WxxY4}rIs|_(Nn$C1Inb{Ln z$z203`WU-(f2rIaji}m>#n&1SY12|xQ?1w^7C^MM4z}>h=bE~DJi2xC9KDik$QVi6 zml{)P zb4gTFM|?2Sv~U?LpcX|NY5WX;+ic*8^|t#`X0J!$2#BW&(H84$yB20Zd>6gNSor_g z9G1~&a4QVrtw_tG9o^cFY>}@w*Z{dv<0|c~P)*+oAB;3DTn-BuKw&7qW^CMTGsv_7 z6n@)R94|xpG00;ySmpO8@dr0Cvwnko zazl2X;?Gf2drw188-C4-N?CS)K~a<42SGa%u!GiZ@`hEVwO6mgI)(F}E!Y%}u_G zGUKYoOxj?GGo5OJ57Z>I2B?jRx8h7|t%?~Fx6`mMP0EP4(knmyK_pKbQ?OB(VwMw9 zXP@t;4Lz+O^k@Pq6Dmkv9lSUOmkA>D>+V_u+>01IND{dV$o(bv!WrxtL%JX-W6d|O zy%rI(K%hYh8Bm#+lzRnS!;sQqg`SxRJ<^(>q5fvybCDxl`k5CuXNYMrex~C~48Ive zRdTNbSN?aCp=PCU<*Ga{bls~nhRR8qEqf*X>UY>mqQ26pG~9w=w7dBNE~jPk72>vW zxH-vTuBhJf$1VWPbYKQ0pRs4y8{@7w2GUACRTR&MAW7tIBF+93w`WO6swk2VVap4V z^FV5JAqzON;g#DSvHd+n&^H)(Vszp4l#SiPJ+$8phBra zhR3>u-v~J7oQm7>WDhGp0efF#AZ;2vlT!!T6Ltwq#?Nm9%!&>5f(*!y2F-3uSnp70K{UF?eqQBV-Ggmv^s9J ze6r1Xy23SN4}py^-J^q~Y;^Qc;~*`P;DAWUe4r-N{xCq%uxf;J&L)Jb;bBJ zfJ8KpHb&BNqi1LA6-j&yh-hqN%#4LDxp`9myKYA2EZk!aHm#;j1}RN^FI~bP2RNqk z**wXYE7;CG-k{Th0SYOa54kGAPXM@AjoYRdH9yg?m$AkvfHs~48z)KnISHTb=?%x~Ccgdl68pAbC#%&kv-#Iz{(%15GOd zp?lQ=(4(s*`57SV{Doh^n!ud!Xxq7G8tRg38Wl-=7Kr=Go2z1g^lXDUH|dqO+Es5? zlLsNHKL_fl$GBV?+w*l-7uSiNYiMb65}B0JvL|$gL74RCfqrwLW5*RPLvqhI#B-9; zSJ-9+9Rgke0A3f5NXV&+;f4gRFEpIA_>(G{Fg^rHB3}fgE=JVkTEgMk*^VwrV2 z2AWnzTF_CV{wY=@^Ce&&6!LLQzCa))<)sF8-r{r8D-rTCK#;KPl1%==z1*K#go&SQ7 z+^6w+15GQ)3x*Z>g&J=F5glwX?i=xk#oZeXH?2LQmcDU5_<%A9Gr?~H9{oyw&RMqn zRO@;@;G35O&y^IPKW4&&zXkB)1RlkG<&J!%-Y-z$PwuV8Lt2Cp395cBi-)7LERrA-6xfdQSm!qHS+mu{7+_|T?%uc4TS7D;x2Q+Fh zch<`;eeM6=Z@_6yCslk=&iCg-lE@DLiRLt=Aoul(;eZOe%X(u>(w7x1w)|bFS z^P6p>8Jm|oyJp6<`TeqCrZs?>lqNZQiiAo33h3I+=uJN|%P*nvR}J+1q_=Ob`B5oi zz6Q)`B4ek|vYiZL^Nk9_n6DfDHA#Fct!cME?8T$WZ@?sitI+@ZJCU-hJilpNU7F;o zsHL8YKQbGJzXcNru?mCiFiZYzVR-!UIDQDT2Y zET_ulqWUoZ{^KQKspE^gmnvnV#Qp@>!VJ`Iy|DGChPf9rP%22?&%m=Q*;RkFgih4_ z+<-4l%Hsi%onDR+Pv86kHsXk3xKZ09ch$IG8vI^F3_+49{}qs^Mt+Bh+#u^(@_mP2 z8(?BJ((NyPcB7z2+HXKxAvDfPb{~NcoSn1_#YsSsR!G%X9Gs}M}r(qN~+cK70RsaWDwf<6YL;Vz;1V}wBQ`H`?GP7 z_O>aZWIjNTu)hF?;7ta-(OsHbYP)CTeAH05QuD6{p1A2Q-;KDSG=2OHJ`govJRzeE zooV^I!KOtGg-A6>5%UjV5DxEj%^PYBj41wTAZa7u;)o(sBj;b>U~x7Y_+wgDCl)X* z>;7%9m&!jL+#^JC`bwkcf;@fv2R=>_X~fKu*xp}Y)p_9m8bkL?GL-8s?klYEl=1&y zQe*XKi!m~(xQY2DcPefdOpMj3sri*{X_igQT?A&@O$F3_nqhn$=OJ%qjHJD~0jC)< zdAisKE_4oq_g>62?u|z{{Zk003SCt&sN>d4KZ!=Eq>d>ybR?Jggl!1?0Q3tw3f9b|yRN%bJp zQ)>2P)#>A4_&8XULvyD!@DM{@T5}iItV4l8NNjH2-{_j1Id_=hrHuqLDNSkiN`)c0f>kCUjxgM`xonCkmJeQ$z#{=f0kIvgeb!qSWY>^PP4mdeQN~nV zWCpj#R#?s1AKK?`IumdUBmi|jIuNi;?j~r?x?385Y5l+GsHHAF5^n`!VTh*7$VV@U z*0Y6y9%;7*Ee>rqBeXeYNiaq;nm#^2kFaBzGzp?wdR5F&S*BBuGqkkQmuV<2dx9c) z$AgDySeikcrKf;SFvzs_nlgn1Qj^dV0X<2ec2Z2jO1b2_&5a2s84KH!inkS2EB1#) z5{;bJ<`quZQ;=bA`hIY!WGnK83+GQqlpMflV>waLLu5w zZ(yo@l`)i-B|QqF*CXv5(9q0^O+W0~dgYY9?Fs=E^efRMHOz$t@GOfbK#=O>5RNDc`L25N2vG0v++t+^#8ZbPZP* zTx`&*Ji3{1`_Q=m z-1;ViO>0wo++gJONE-$XZECj6==V5ZYH(>Y?3surGka1=5-$T0v76lRDTA%j*t~op zXEuzyHXCeOeF{nn?V(EYNS0Q94_69UQ@$x~plNXvKY#0!T2Lf#D}V@F^6;=U5;ja~ z+~`IPI_=oVg27@zoGvbh3&e}9%5<$-(*N&BxahVScv`>dReY+8f&`8M$Z-;0@tj0! z`0vox5j|TWp)GDf8#ny)aZ)U*PB2c2e^?~Z*mmXwclyYFA#^Y93gaZLv{OYL@F7SN zxdTWvCU#=NU!HNL0jKSFvs!Av{!jt5aTRQs-FLDFXUcyuXBdBSS1-v+G%Kz)qGto3 zmuukVbjcDwB~&Pm zhvCrEkFS*EL_}G(eYtxYcWLW#)C*$jj6dsQ(9HzgpkvTYFw^C>+&V9Nz3*ilq_tj| zhO)CKD3VtO4+DKT@>e0t*|>I7R&m#37m%AYi%ETbhlL>=4vWW8-T1<-x@=lGoHn&wX+9IR&3+ z%Nat*`ER+5XU0t%J83N#ReT``$MAwAk#!&uA@(?|8&?{4t+8-LQjVma3yx8=whPt} zDRLJD_F`1)j+X<@7)NPSF%;8G;X_fG24-OZRitni7sA>wH_|W;E=$Uj0n1mpK7BOd z17kN1YBuohY&T~dtWI)39nAwiWTM1g2P`@_{)^4cDd|YoRLgVN{OAliEl{Uc0bLL# zz6Jbgg122?woME<#cgSA<0ftFXr+CjFxv`x@o2IGlgEomwC~-k!k6O%aqfEK?aHK= zlq)8#2P=%mcEcDVe{3*o&f#OQdROlr<0UOB3?iC6MM3iB!9!)`0mSfy5e_hKFx<4t zN-+iVp{Ps)_l5xsr!h-DuA3h2W0+~XTM858Dn!JMKwxZ>59#x3Q0{ABY1JWD(j?}O znK0q^0~{}OQm&I-E1|`%Ik~8;Zu3+OZUync5!rKts7uj12A% zO}AX}VuU;h5M*bx93aaKem?BM2AFmVH&gNjrcsyqWVtg+moHS8?1zATu&_DK+t%Fe z9%`6rdx)u^NIr-hQ4a$O(@X4*ha2q~EPS|!8(!LC7G;#j2Wk@f2td(waj)b0J+g*X zm2Zn-F-zEwH0-o}NK{icAB;3DJPH=jePp{7kmzjx!=sIXv<4y5QU}>ntW5r6z(=o% z;W^p^UB=Od;jxCDHV@G~E-$E(`#5kB$fF_BPt$H~%*?yT8)jM!Dl|r!7*S6E3X8z9 zC@tG?hPR?ebWb#-^W`55uB*}db|yv6lfcmhIdqMLr*J4xs=lL$6T5CrvZOE!7msfn@=V^-8i~u zQuZ${P%a{A^%<~=;(%`eZE3b^atF~a_e|sGf+RnM&j?YApl1Pu>m=lyMjNXMtKE5+?ptOmIB>#oEiO4LEI@fhr2-14h&$N#tvQ)KVN@)v1>_zScm~I^*nu zPM=(>O782x#jqs5YjX1r`4j?fn#9GGuQ%|t-3_@|C|kU^GS;SrH^2f)H?A?oS5kCm z1G*e})o(QXv>b<$l6y!J`zBy99+J&Mb0z$rd$WO^Cx1IQFwo!k@0Lnryaf!5Nf7F6 zE>G5G^rlSrRs%{KlN4f|T#c}|0fxA0b{bpxIScf5!%AzCyoOIzEJxTo07IL=S`})j zd#Ayry)ddMkPktU$afKm-D=g+sNCzSmzBA98)Vv$-K!|j2om@n01uWlN-8EU{4^;R9z>+d(Pw0GB4`hy&C9{}zINmn-4#BWmJ1`JL} ze9*ARbJtHJ5M6x;t_~8&tbTU%`nr5o>chrETKbCzCUQBFJ^~WPe%TiN zHEyaiD=XZ(;l#O*8f;plm#KxI<>OCfuA||@g=zkdg@_8 zZMygbTwrz%|5C~ z__Xnm7UXd7?_Wr7XR*gDW@o z+An#3-ZJvFkINf^%Oqu9or4S_Yw=FVT+7 z)aF9(ZyxF%Z1`(HKmwCM$V<20m* z`5G`Nn_16To9s-5{l;H6xU{>~siakd4@0>u(cb_XK}Ebv^Bnh015MkGv(T>3b4dFZ z6Uq()xxfzT+lF~r(p#m{H2XMBF@GBA)5CY*0d1mdPBvxdm2ARtrET~#{;@A^?z_gz zmLxB+qS}amU=XzPJ=i%$BB$(t0b(`2rBGB(d5w@dKE^ zU>9+$tdvYP*UD(*v0%$~d^nLhz@ zg)seU^i)lD@ndsCX-JQxRyXno?x)5?TH|YF)r@AB*19!7ch9RfONx6$?xm=r7@BgBwuGgP+Qo;^DBTbQf+l6 zLnl-k8(*_+eEaC|mJM6ouMIP8J4Pht%ScagCiXY*aH4p?+GDFM^JnEfetJ*V=ks#% zTVtjFlpg1usObgO4S&=VLsP$lspBG3p{XkkjSsQy{Jn8>x%~6NC4+bh7CiBXIfaJ) z07FL!f$4=(9Zv02U*^luF0o2 zOKV%zp~*4%^GQ^L3+`+)1Jq#60 zwmgR~F&$!fX}Q{?o@SC{9tvjEFl?Qv;WXA^2Ds#g!RwKBIA~a+@RNr+befV;aoG8G zgrTO@imo|HBTM*^fMZ^Hr=>-YStZNKxu`95`~Hf zJ;II!>=a2A$D1K&YL(VX|53x)Sw?8b83$L%Zw>B2x^&e_*H0~t{*H&gI8qyH&(GAV zy7}e=V`wiTwOp0p69Go;@!cI`<~OLL<5qaaTcC&L6f(|GN3 ztbT*s$+^N9NLyiybrc`}K!u4u1!%NY**&Udd1>xcgH0=jJugv(9%;7$P3JbFJ8DPd z!Hme zDDB=3cJXd7L4j^tzCkV*+}_?;N*mJ_*6cDdqV52cu6eZTShHKVX05y9k~lrefQXTE zCvb3#AS?}Ta%UJy;!>wB1^R6DtAd+|SP2A1p*Fu|61Cy)MRp|vO&f(;!Jcn5r_j)u zFod{ny4h~Y{}A<{b8}}I7ikd)Rg}($AW7ueKpw1lAbSX5;B<0RG@G)e3yFJ&s z_{=k9dbw4an{Q9cmt>l5>daMVa>`@Cx;lFoL)|5YkvJgm622Toa%9~NtgeEzy;0x8#itNBuQvE)DM;NM`dR~D zx05`G$Dq-tnRm$j%|rg?&uz8x%&c2${9Tds3aGC6!v~C_`=DrX9W0_Dx6v_mAh*+#LE zp$%^H(qQ32T}@=HN7x8p*a;HG*PG=$0OFnE$CI}hcv>{xW60i9o?f=X3t}N$ASN?< zt>LY1)R5B-s6;!pgAf^)gMneJOwE?tZkv%`(lAz~2p9tZ11kA`arhR5?D*0@xp6~F zJF$@q>08VnsY~>BpidVxreUL{B0ie6qAQG>YveZvci5Ant^X=oEF!=+;P_UY;)^`G z+yR&S3Jafqbype_X;G+|M}QLLuYx=pF4k{kgr7>5SPdH&q{qJ6P}9mY6$>p!4|!U- z23C#{E7_LqQbj%oUDDGaExEPH-QD=;zhafiEU@#tC{7pmfD3dU7|e{88?~xjDpZxd z(f2g))NVdnyp80Dn*a_YO}`pA>g2OF_4d496}*>0u9kl{xX5*_3Km2OE(45mrB@V9 z8q$)=ReU#51@frZI4d(GpIDQNgDdTk`ks2jRShg{s;~R7Oi`8ztAX4VIAxLX_90#s zyVKZMmcXf-Ltj(yg@70Z3+H@r20|vCce!a}B&}mC43uL%0_y-Gg&}ox`Juaw;RY|^%WE83OdoWw#KT?Oy zCeD!4g55%?GLpo$fGwV%!X0?w{8Za;)56RAz?AQ`vy)l5GVvYY5ni@*jRfD9mZcJR zz2TO zIIWedCf-bt0cr3dFo!u(Y>J6)od@2$DoT3P=nB@E)*B3mvV$w+Pp$=%3u9 z4L)rynuk9>wD4YYHNu_%n64f2vj@1#qa|NzmlM_onAUzRaDXC{CHYApqx6QVKH)d% zKiNRjddwcph1VnPDNJW;Y8HD|N@E+d=HaOZnHCOFNJ|eNa#ez#1~57(KQF(oDO<|q zqB4K~L(4tgu+#FmYr5aa68;Rp(LFH$MW4X6>SrzqO(jh>A0kP>PNGt?kcT}1wDSVkLHipDx?H*|t6{F~UT6%YEtT}BE>tA(McqVs0Wwm1@iG!s zk;IpPhzLF$c#;rWE?C?az9{rkgH5X_K}s{amn_*Y1N+v(&hC2E{-ssgzP{N=GdY%ExZC24#{7!gnTl)^h(1`o8am3epQaFSAm7tv2ZpD>Z~pa$ zmbL_#sVFad@|tA60ZbHasrhqyDfXD8l9vFz(SXwiDVY>okuG7<-voLz=dx+r`mybs z$K9I^cgb@uL6E$+fESO+wszWco%XuvT4k3kO}^D&(~`?!n9t^L?!O>R{M&#>(_L8Y z#t6!{C}D~6?Z!r0=r~}l+fwN19q<&dbW3l8Q)did+M-f!S(^CFp=uW7xtnf4FB1Gb}OaWDc4-JbYCLr;q{GaaR8 zPgEuML*Sy)$!=xYgf6i`Df^QYv=1A0TK|+7_EE%-zyQW;@p$fv@=T|O zDRJq`u-y7lVerItt`NCQ9sQ zfW;8PPXdOEhW&&4tO2K$Xg{%7I3N-ZRO=ij$)5umB^pC=e|4{Kx;0XEpEvBZ5}j*l zvh&ACng+fA1ITd<#8HCsdF(G5cv{z47>gGKiTo0f$n9_x83zhwN4Q_{{IY?j&9&Gg z$+0A{UjY_73pJ%O&F#KwSZTwlVgf~nfUf~?ngCeNvMtoxn(cC1HlZOqII8-(fv3&a zbx9Wrc0V9pegiJ?!m)Wlw|3X6;ke2-jit0{iD-CP)Fbg*AV#5CWx@~ZzHM-6<*R2e zse9pFON^NGMU7mD5G`O_Zw=gA_i4pZ9qU4p1%QSl^7C$zqw4)7CvBNPqf;zZTDN_X-nVNBvb1(S8G&iXCj?)H(XU! zTE4TyO(L^pw^ETSiJ-0D2}$d=oQ9r}rF{2$gYI8K7K081lK%iQHhm!&7cdSa{L#R- zC8k@pMAl_L;Y3+3gr9HKd!{_c(7~VJ0E7DGOm$+WJUdw}Pt^9zIrrx!+Q2X4f)p7p z^~!sLp^d-52D)$jeJ(Mfuj8-A$`y$@lItvJCI2UiqMg6Njt<0in`Qm_+JxL&DQTK$ z;KJ^|8$C%Ezol2S$qA^ks~A0qT}TPnz;94Zh!_g~{+nUWtfXyAV^ zfL)U1!@Ib)E%59o&?)5FzZ zz9#N#9HhSYyqfi_i3JEP><0_Tc3oD#@A09-%g#5P$jP?&W$ zHwIE$p%epoy9^Ya90(^EA-7~+Vy5N`!9m7GY9WX;dcK3`@5w)ye7Q`v<|Zc5tGYuB zKebyPPy`|b@rMF`s3c#0RX@PycP$@g3~XP0pQ$KmjS=C3kSZndh?_#9y@q~^ik zibw?6M}mzaAY}RejV}U68T@h;frvr=Etq!cb3FW(2EKf0CxYx-fnBVKI4J9mHV*!O zDk4yHa%(ujTacO9NeQtuK0U_RSgyAaF~~m_d<;Hi*{>#_SaHWKk)6^O1qRv2gMGNL zbvW!}RBaDWFdlZuzgeyZ*|6y4M0mmKwOk3))Jv+|NybI$TNqpwGY07=gRXC3r!N63 z40|Lo2L`k2ohq9fINs9G;li@z=kx9|8H-={m1QjEE4sx zJ^NsYlXwRZ(fUb5E$*i_J%dq>e#^eQHK*fZ$0v zCZt2%3k^7R$dl645kmS!pkwWMt|=E_W93h#bHV_u zGleU%Yt;z}lj~CrJotLC+W5IgqMt#%!Gc73TLW+Cl;Fp$H8xiFwZZ1t_qM%e>L5ze zI*`x_?Ci)lr7;qfEkMWtH)N=(-O-@LTM(VBhm+70qhPxY#=!D5#gHdpR_M!(XPH5Awv00IQQA*tR+0FW}l@(5e04fTmD~9UejaR^ZVG%dhGrgc~*N}i7SkW5&7$s4q$+ZoIv;vz>)nkm5G^}d@InoE0@TYQMHq5tNVF+wYC|7 z?5n^=wYS~P)yBbcReQssk883#K=6&LWZm73gJo*@H1Y<3=z9>2PiXnR_MQeklKAQe zwRstV>sA<{6N6S?WI<>7s zRqnqAn?uO2fq$s*3%~4k8Vjk#y`a)_v|acYbTI`N=x(Y_sqa<4-ZyPLq(+eB;VHZ4L@`3e64##3`ddApD&4@uQZ&=^(6q=ZYiT%Yy zSdnfR_^|xdGBo>MozNzrX!0fcZp+w9_9o65?nok+c_*70dcOONK=yTDW1a(_dD|lm zp6&;52H$_OX>eR0i<8^}8J$fu@v3v}Z39mobEcF#!=jfCyr2g9&A7hZzux#roqHJc z4k8BmyTL~ZkVVn6J$=s->4WQk#vpwjbhN_w-Ee9A4F*3Vf4vL^KPM1=Z@^LQvt@AK z{@uqI=pX41E`mjQ(r*ME89yhXh|l=@8t_PB$_Ksnj6nANz(%3d34pNFd4EG+rcp+O zApQZs-l;aRYNEReygd>4J9C0`SC&o%}& z%HJ;>N(?UYkv6%{0T)3;aVw{Lu0b!;*r73y-GFH=AhA&7qo@Mz=r$eJcfuY0Ls zU$#6cr#`_i1NczUmebU7I;InL&Ar^vQw!gqs$Zbc!z0X`C zR{@IclDq5G_OyGoVWu50TewSARkB_K7P=HUiY=FN%(&MY+A?)1L7v#x0gLr6+2%gu zUT>KFo3i9wg*Jh201$a9L-ppId!r$yzQ;j@NY%-F6PV~X^EI|N8}9P;n;C=jw}5`6 z(lPlUv;Pgbc15TD-)dZ>uJjG)yL^$0K(z8USV1icGw*LV{M5!PWh%lWNPY*%C}(>6 z)H@A#wfx22beZu*RPO=_%_Q%&b?-K`)CeIZm4q;z?*Sbhl!R_v%zm%or{?mYGM*zy ze;?>5=n@}Qhv(I{3CQayv07X~q z=M#M(@L_{Zt^~_;R%^UY^u%fr@g!Q%=*$Op;vC7PNIqLz=TGoGuZp}UBlnoXkWgtop1j79$4tV7rhtJ7ycH1rYq>xE;op;4LP-YNvVAqh5SE(k04T--x>F3gI+Cvu{Ze*QIh@w5-QxJT-> zROYGY090lAf9C)#P#$4y zq&7c!`RW4qf ze>J$n?=vyjg@GN4d)foSD;SkVzL&Ybue7k{(Wk z2c01#*C&!I^T(ZLO`(G`X^Ao2yx`4EF3M~03 zO=enxnNy9K)DAn@OopP3+rS3uXxO+eA4xyWm{`94B4dz#I_T&x<#HtUm$xBnq4*QXSh|yM{3O&=tJTpz1dF7KW&@?8wg;kGLNfsW#=0HX8Fs7 zBZs`H92CP7K=OGYqgB{Fjj3p5pKsWy!BavIn?cCG0Q{qcFQfY^&#UK|=q@x~u1d^@ zT%u*&a~a`E+YU(sFU`9^nFc+kdV zbbbR~m)>lCiE(y8-z=)EEYH=?#A<*)LRcw9TEyQ?BsH3ozr$yKJ!rK7^}oV9fbi=P zDN`eA4N$0oqjG1bG|Sm~$XY|||3wH-lYJ)h)Agz899YmKa~+sylSk)qJ-Scbkm03d zBhH-WtW1lX_23{V9-SYTNT@ckd3eiux50q=-;nDQCS%VCl#7wHF;CGtIh5y9w8?-{ zQY6>-&g3b|w8$9-2Mv|HtqtWFxk=$t136dza^Z%`rv{%J&LLiigv&rU)D!ZFCb!vO z`hTlo!P1Z`k~adLFMk_k-CZx})M~ZG5L3z@*43eqC$6AL=2kEd(=?9Nt{avx*}t$+ zgY19DcqkbNvZY7Qk+CF+mxJhYb)?pwZdN^Tn*sK}Sla{T9wGVt92e=4HU=8HcPS<7 zw+u~e-7v9s`-Tncx4CfxOiAISUIv~6i;`q+2NS~%*0uFlu3JAkKD>2{yTU+I%1*Be zmno9D15DqJOswZo+baz%rF!e4VVuGsM$lCN9j1v}CsQrbr}+1GwPB^C4861nLYY4Ita}<(|69v_$$83t~~D(ywi~T?=JA~b5bNE z_9@Tj@S-ZQQ^3ak?7B6ZH@j(rOsR;ysy)O=s)K}S&vjcTHf$f?zHR-)(C`(*V`yfs zHN5^GN%KjxWvE-0ocE)g1%98An$TPL5N8l`gz6n6>_pF9tr8EI; z`RyE*X_3;G*zUs`&VPA^AV2Q=TF%6A21-$Ogp zzv~SyrT$fAIUD=J;^3m7O6u-Bjq(jHeCp4?#61R@(yGe$o*pnLm3B^c z9cziX!NAT-c!@H)%Ry8k0C!8mh+{SW2ZfF?+5?)Z>8ija1fGKi+^+8mU5GO(jB}07w|v zX^`i0?}>(!l6!vpd!BnfXjDDYo&;Jb@#C&jb5Ay$loD@7|InfSQ=sp&Y-6qAlk!x9 zNXaspd(P8AB|@Gif*s8>d_iVayLpaWM=ZNXo-RMX(LDn=T{PR{$_=?F`|Sa>{o|;9*%uT^dKpvXKSt$VZa_;Jl#Y;H#alyUTaYO+ueR| zsti3+UdL3)8MiP^;$Cl1OHWlUO5Pj5LkSF`$AR2i4QlD{OZ7;38z}n-MZSLO-fkHEgNuG;Lexlj2MBmWa=Tb% zceUf*X(&s7LqUL1zm17(_|eSj&#GLieB0WCd6kR#(mVCZfe>5|&AuF{$a-In{X z0dACZFRj^=t&K%((mw(^N+FpaHO!@#!k|df$3Q~8)kDDUSo6M(7={nuOd|ve*_|0bh&A!x!e8Nu$JDUs~#yo$tbc4 z(Q-dsJ___m`57qa2j%0M@}ZrU`?=vPy&nvUB>e)Un+Zua^8M04`Y&+xt3i!y2Ig1L z*YZ}aH)mV!*M_kdt~^X|bMqH#r00Vf_h0#o8{PjvzVc-GYx($FtzDn3m9jtV zbj?}(L?RJ6$8(c2iz|~`<#z^;8!|EdkazZ!{h`31=bH*jS8lR@hCh_r&8mEw?PkVD zT7;D;b^GwTWbXs^t$OB1L;9nA4SoHxhy5{ zeB8RH5C0x+Zd`0!78j~b4+r+lixSF=Tz6WRZ&Kwq(}zO48My*M;>3m7}GXO_h!_?E`ii2TO#w5y?x(9f;tC+lNNauI*Mp(S1~ zi7rpdqRi38&z2-Vxu)h({@4RSL$`*Z<9cS0O!>;iL$ft^jB#^mlAA$giSl%EESwx~ zooL479pG`s%4K_NrKnFY#|x&Taa`r%wu~m+3G#y*-HD)wZ4)E9*LFzm0z1ig>K~-| z?Lv}x`B;z~#}7v!u+=|Pq>Gb9SeN{F%k>2{KX8}3)hlj=A@+~QJrT)hPF~BkS0hQ} zDL^7n!4geGJk=0W(rAc9MFMXFpkE{(pT<8K!?)+$X@=K-f~w~htXz$()4@7i5;r;@ zb}nt5yjEH(cUwbC$hC!y}WO4V4WK%(s)Rmz6 z9XBJg04Ix4zP_|v$uRo|?md$!m9L;l=$U}}*C$&Q!s|QB@KRo%-Stp>eP`#Gbv%{e zRvAo6mFv~4WQt7GIiQ6qhkckKS?3yF|B1MejXkz?7L#@!U}2}8oL>p7^9`&2^oVD5 zAAc#5E&vIG$9m(sPF*g-zi2R%OTRO9oHOJz97XwSFVx}n`oi9iddDk3?g9q3hvSFq?)pC~@WJ(RQ+own8 z3z}r!t;m$q43lJk+!iNF(&GQvy7c%rx!(3{+nJJQX z8EBXn9i0!T%?6dyWcs`*Mt)w7oDp!sn+u>V29)&Xni||hZ?1^h3XJatbk}o0jT%%+ znsiDl0%1#b5q3FXz8k<%%)r`aSSiWE3VV*q#h80zAhFAC%brYx=;H>o)H1QL78FU_ zo~H|YpF_H?Fu0U-b#J6D=HQN;glUgJx^f95ojviR=y1TeNV*Cn-%_pB^L>GJwPB^S zRDKANzpq%3d3a5pvWYg%;_8~i-3=`z4~vmxE=JNlK=MUi&rXMg-P52_ioBjY&(jsj z5jFvs-!QB9ze?BU?qx_R!(=#!M4Iji4Gp{-mfJmF>vKvTF=`b{gJlN${Y)xhw23qQp)C>su$B z%Lv6{+7MGpAa*n{6G!KBF_P*a`L=z+*9~{A!K9qJu+=JPk+LgFj~wz0>6tO0r1W&1 z5%ppu%`!dL%T7f<>TDQHN^R;2yE8e0ngID`eWZqP7|r^eK`pge&lE|!4m5Q2vNlw2 zx66~x8C1%k&(x_PMMet@G_&{;r+=Y3YHu4-N}^0bFDeq)0nk^j?5t)e8rK_U{|z5L zPV09Bv{*=X1MHh!-~P)F$#3XcdJ`!X)=YjJ@MY{ix!W#@M<^9Rdh`cUm zQpDUF7&IEvXUSlvCA&{#YVJOUlk)buN`I_K+>IjKQJ$1!_D1w%GXeAzzaW8L9tJN*Bhgc{ax1}P zX>8-jW_9F^Jlq&bTPLNM&w`%HH1G%*KyOx^oGsP#Z9md5``JHo2;O-aB}zagbKOD5iKm6qRYZqsoP_pZm|6W zEWYa?q10H8tY?6Qy#{!PNbL5;E?L-aNMGG<%5tlFropDYZ>lMm4@R06o&^gh6yNt{ zwfV`W?CjNL0oRd34$n3|wgk`pj|@fc*}nHK1pPdRSz>CXE_KMeaL+YX(z1kV>VprV z!c&?So(Bu40_cm@$)2eC&bpkA2vy+uhTnf)mL;LkzgbO!UjQ(IMQ)4OCQX1Ze=juD z)k!aaI+|)eWTM2r2w3cdVo@2ET~D|yK{~^R-&o)mnqF*7q?H1y7E0p+2wHjxES({i z3jMKPrfSaUH4`Isxi?V8jryG)pGhw@{_d5ONdtm_0Z=-A864x#J+pa}ygTipBpiFW zG1foSXPKc=;q67TM85)P^chioyP`bP2?h3*2A;NGDbiAY^qgzc!K>f^?O61$cE|^z zo4Z^7&Ai%pNQ*}!HR~Z(r;FFX1zPUvq@3%V4#ClD4LYsm4ibuu<;Z#+Sa{tGlQ-xW zfqiOUZ;)xPn@Y;$LnKS|8-T_*xl#>De52v5lD|Z)>)$%duPcf&)PEE7vD7?Quk4Zz za8&=}Q}$*eu(Rk0hcN%_L zmG0RPTWy+n7ffKLq}8nKk})~912yHdT<A>c;-CNTRV1!Ptq#YzZ57);F+D;xp*O z#@E&)UwtyDn?Xk($sD0E^i5r>v5Hcfm2CNM;bvUR)6VC*P6`6S1b`=qguHa3sMY$1-s>ETn%2nH$G zXb`S)_9f-h#zk62P);rI!D`dQXJ7(>Is*Duc~5C<&6Vr*R5oVmK5Gp0Uk7JPMJYAF zhgg^J&jB9KPHd{nAu(5(p5KO5lvZ1^!F}F%*o)bT9`dyE1z3q=PuZJLE6@7(@I_-G zt*>I%7v4i8OZ1n3M$A>|$Rt`T1SDTJ%(R#*NGLLvBkL<*VR+;((^ys7G(JA+6ZusG zTrK}jAF*h0g${Ibn zBz4}ui|-l>mn9X3NY7d*>eI>h;N*1CUU-a}&D~20`Mz;=Rg$a43{E2&J^lb5@unF2 zg(;8i+cvu&8bfKPSt+D>#D`p!;2#kjCfBvY#)Pfp#E%Vlby7|QA?0?9lKT^IId>y# z5&S7Tbgnynx7q$+P6lo0Nq`~gq8cXv9UGj z6;oDS@L?eaP5lO@Fi?>rV&zt)UJo<2zcm*6?`32|l!>T^>`99ciN6EUgvz=XMS`zU zd?CRXw%;2ATa)sjPczibprb#)k!ciVrKTo_WGf+X|D$oU*NtLPpHBV+Ck)B3Cb|XZ zzvpCw5sJm1jfwP-3{u5n5$O{C7r@cl?ew$hH8eL9_zLU1`>R2(PI?vVrCf6MHHMq1;E>}`!{+J09z8~N#1Rk|{VLCwWcWty} zo0 z#-tpms&2*#tgqRJ86#;+PthCiE&&EXKZnB)-hNxg@Fkv18JC9*G7TkLAC53q(mF9! zQxgm5l7A%lc=c1+z6^JiL8iTW6;Na@ManHeK`Sb)?OIuy-X*ci@K&GKw=}fGCM|Ei zjUbt~0yB;chPIBZ&!%gRHq^9iW$7vuwOE(%TLW&!&9Vq7bFDtn#~A!xkDDWLdN>vy zFhpYBMGtmDB#-Hz(OR@pKqd#HDN?g@sQHa8W?DLZ;D$kWG( z@PV;Pyz9anILR1TE&mDuPXA>q>L{HL*vg@z#GVYSiHJj^&zXu92EW%4aZ#U6PJxrt ziZ5bR=8L7m4axS!n*V45O`U2?U6GV0(Mzx|WkD4E-3I^m6*tmu?0foe4*1 zy~~aHylXzo7)WcqgM?;6EJxPaV3{o)WAm+cZFap}=H*ryXj)j-C)K$&9h?IPM@VWp zFD_Gtz8s!w;AxX+l+h&fftrM#2Pmo`+l;m4sMJVkYf3es}g(x!G%G- zEYHe;$_ov6wfGy{O)WTcprYhn1TNk)cgBv%PFuvuKC3S_=(G_SwKUCqC;1OM;FT1v64^A6oD-5fRsjHHTL_u4f6@Ic1jULy)BgzUVfpn!R%c!-+Q(9S} zmfGP%L74b;z++a))xv;u$Pia0<%0aW!YD)i_0UJehLAoi=IW|JUKTbOU|Nh$J*DzN zR&=G3XlXlND5gk06qRXU1O|>11BF7r7UTRf7caLM6N#hz zxX!ARg%NbK6>du6#_o=h1}yA(Ev@Oar)35gkyuvqM~%apNDS@_EJRJ(AND8H_~kHu zxKMdeX6pvuUT-tb(gKmfzGR%?339}Z0T)jZg{8hV6>MA*vKu$tv{1d^s@tg5EqAcAkmXdRE3$UD~*q|btn5CVo74J z0#?Vgae*I^_aGC}z7Sk(;ECH1V!iGP6cgy>8hAl7SqPXUKAm%SHy+aB!v*6dXp(vl zP~)BI;ZTE47fW-dJJqlS>Ym0!T0_GAPqTmz3m|A|0+!4~!#24LO14XKOn)z9X0In2 ziu!a?h7&AMRORZLe1I}(=xMWg)X=QpLk;U`#8rSZ1GF#$GE~bq3|0+3ty=aOs&q5x zs0K%jlHDR*A}_Pl1k>QbrlF`iJX`Watvj0=j8qA#D?U zE~gIi$D%rI)M4WYv9Y^0IVl&3<7A`HfolyuZ6jDDqx|SuWy#$IF4|~6wv%N!S^I3X zxuMltm@yX8av&%wzK=Sc%)$vG9a&`4Lsi2gYevs4$&R>cvmqSPYDmD_h4x?#~(Oh4S|afkU~%RoF<3pz8oao)?xBWJhw0uh2zwEXFrv)TILbExRBdY@zS~>Jtdiq)S6kTs%X{{VJ zl*WfbvEB_F+7t#XvS7CXF{}J5x5q%!Y7~_e%7;jnDV+xzxhfwZYR{OA^Z|0?feplM@EY87&~AWZy?z{e{?!*bSm&shBi-8FJwLrrWK0jK=B!YD)ihd@6bISk476Z8%>zSoBu zURul4^SxSans^vYptUG>WGJ6)+IYAjr?nQ;(B$$#OAB$201gdu6gQyA$+Zyq5b}`* zo*1L&k%#j85a{MnaD%fZ(Z7}ICm{*9Ci&X^Xk%zper0eWk3_AZ9uRtZ3_M|V+n>zY z(3zQWk2U-YlK5Sxe4s_lMHG9GUXT$yBGz|e647#%(V4pIA~ zeAL#-zmq2#OKEi@(z5R)*QSFf!2vcpM86e+YwzL7#zR`P7O7beu{vEm1uigtikEUn z!})jbIziX(A)cn&<6 zeE0jxZpH5x^Cy2h=&0R8@xj{Zafj@W;FEt+0!oo~R9b`|rF4->w8!;)PDCyOt zH^JnvjH+I~Bsis%&4*Z*@K*r7Lg0vY!eWU0yL_u)Rw!O+jHJ!4P*#obLDociGHB{m zFr~$`Gb!OQCV)%$gng|lO=_49mg60-UXr6$uBoP?=WYfay#|iZiH2H>(;ho;Z@(`g zuQg6q%fC#hFs9NLMTveL&}cllx;WIVjE7Bva?z}Ny%9~&XBdDnD-#X?!yxDk28^%OJY9V?K z!eqY%Y()4xVqVkvfVUd#o#kI7yn27u-50>{XVoL^ZJ^<;{76&AT){oWxv}vNQ+u2r^)Ao)uxH} zzyy{67LM$_m-iYkV@V}oF+sg@=<9v(g|4bNH>jn@z2A6An<%1^<_jPEl%vWL{Q;mc z-zc;GrM1<`%R90~=z|7%ep2$Gptwkim=6JSoX8Y{>6)7@H)Me8GyTJcnl@yhppyBZ zp?X1`Mm_=~-C13p#Kj38H4gSVt5ufhj{%KkuMVy##Rl=QUG+J%`|jfgoE9NwI-2(E ziK^s&0$k)h=hS3jvQwEJ@pGU)?>}h_q~$#YmCuK6bsG5;j3DoK&h6A2Z%Ps}tnptq zaGy2~(ju}q}rE*CSV9yP)>8 zUpCae9wkQN^zfA)9{e>XzUY5-xjjVU^zb!!Kou->JX@Oa1!P}0KGK$*2lP1w1l@dt zITG$u+TPGV$lABhk#8C&X?3B;MNLMS{BMDeu&X{hrMt#!S{S}2Nfjl zJHQ<%xJI348oz5$=gQv>j_~mNiphkC_#O}#@A2vjx%d{>jQafizM-WxZItqrD||yS z)+PK0gh!POCucqUhX$Uu6*H1je)OD4lm8>|bs!Z@5NxW=gn`75je)e%#86J@d_Y{6 z2^0U59?4&y4RL>J=zE>~Oq%?kfp4Zl!zK&=27YcVr1h;)j@vg7tJB3V-~#jYabAtp zoOE(S^_H{}Vea9V#!T7*0!6#tMmK?meg#A5?4yKSF%kxLzcwz?hB}dw%@Qh;{u|IS z)Cmig8+94fzmMM<_-grQgDZcJRnSP3+~0v~%-y42fd0=R(Ddz*? z+@d;-`~gPH+~@}Vb~EQj|7dLN_1tJdo<9BrA6O}@hFiGYpA9!{rBHrdQ%)J`|Apz~ z(%ufaT4zdTJv!lj9rstmOB+{GPN96T+BESun83o+Zn;=K>|pr2!KRI&R6v=z6e<4z z1)WTM4Pw@5|I_fZN?NMCWNLjM~1vbK0X2ozruJVopO!seNAT5@oULl{m#A)L{ zw1N7HDU|%0vv6^i`|px$P)}{}p-Y@L{s$Xf8yMvZgIRZzvx`Ui_i_UxG)cXwNNXHZ zX;np;gMAGrZC`38qOk0#hG>t({Xo<;D?eqX zf9du&ytL5>XYpiu?Ka`h1=ayzp^s#t3wws+duXJKa5p#fv_6uerX=gF^M=609|%LH zk(ON?*wh}bZa&CZ+3QBSAWt6$_weC2AF{JJWVwA5pqOBhrwQEA2AB5M`vi+rCjHi+ z>#+#m22GXaHbz`Fc8nq4H5ASMhs=94LsTU3SP;>jW)ty? zT(EbV;im;Kl+hgE12qXf9njkfv@i=6?&1&UaiS~g-EEDPtCOnVfElp`adde*xI`(H z5#OAA7qcY8yixftyTaQWS82@=#WaKXP*kRYJHP-Y6cADP$}IC%d*;gA(Q`-RAZ<=# zZr*FCg9W5%;ZCrC_Gu@M)XtQ;Z;x|l7!zs3s-UMH7SyJTm2lC$wWT6wBxKR3B}WBi z3{rI^<0NgRdciuot!4nUb0+MZ(DS{l$J_Bu=UK*0TDv{q<>dM_b2iNA{!Fa9_>Q?% z3a737=~QjWR~b9o#6JR}{#{t%45YrS!cV#|baf6~of5Jr-+Cfh+ML1`oak)!xyION zk};H9=w^kuFNC(vgDt$dsIS0ws-ZeQTgaK&a9YPG8u%S9lw?k@798{J)j)fi0fMs9b?Gb?7xm1%5czr+~ozbY^_gAFHc z-e&^TY=bL5VOrHzD7T40E@02UWf9R zLmst5F1@Wexy%Y%BexmGqH9MaM$i~QC`+~S&N(-32=chNvIG@MZ-+GA0=}(^bF1zO zBfsdkKqVq}0D;xZx}FQg0p%+VqyPB3M|H@g2)POnjKAla@>O8z5v2iUad1}~+-muE z3x^OraJlG8iV}Pcz{tQ#v*s!Sc6T?lMQ0$Dh`0ySR-TldHnJ$YVp0ZND=PTry}PHO zEjn!!T?x^ZDoXGKz&fqab{)aC!UwY5y$p2GU7EkwdnE-4ECYzl^j$=~;wBAg(V0ml zA}T=aCy16@GFEd{qu+lmr$^CH8H(2+j-o!r!xL_&0W7+xXHtYr0fN?GRl9kPn>PCL zxVW+n6-w73jTc_6SF{qj`4!jKYrEaGhO+1vo(oDiQ`=48E&$Of`-|1~tZ2yTeVMwN zF}y{0%0X|X*CTEgIFv6IJl8OwMVBus5zzz!MWDeey4{>%EV>9}QiNOw2#P?xD&3kh z`trEAA^;Uiw;+vq73s5gH(fPvMcW3`e=e~{RSAk+O=yS6ntaN+f#J-G&|zP{x5!L! zWwGnt4dgzO%1bV}#O*PZGZvYD%({7qqICJ*NnXqiMtRYti%LY?8wlN|PoLl^o?2S5TZ{?xx25yEk1QYiHQ3Ffx6R@6Qg>6 zyt}_)EV}MwQiME!kTN$fx(DtpB$FcKL4X_}DVgoa_ar2*9&8Z(*ExH_}y=Jz^G!($+Sq{t)6ZLOTC@2ah6PF^c>jP9|9)PIS&$1BbyS9(c8 z9|tHJ7LK9Z;|*)kRgX$UJOK!lr&6ipo@mrd^7BQ-%V$&eNsz_c2zm5mqrB+1QOua9 zKpyc*qqbX`tN9s5#ZNVyMaL_dU@;_+;A^6nEuO;J<5d0 zt!(aG>E#G}5nzaxTe7H8#}s2trsb;c#fG-%XgTPu^m@d-1UM85Oi4)T%je8qYJiI_ z6hX0T*6d|KVoC)eZ*@gmu7a+)mmAumr&LsIrHV0auK);3RFe0Tl9TzYi(7#Y0=QQi z=#c!|MYVxmcx5EK62dg_DjM*4z5<(zW@G_df?tWcrK-PrZw+|imAUXr6{dmLz<^GU z`9kzs!&`LITr51Vqx_6~QALvT`n{F+I&}XA$YU7qXF=X*)E7OBFU)(q3F6u`$&{F% zj()QNEWT-?6jSgPK+vh5o8KgRWYuA|q6}lf-@002Uu~Wm?313>egwsj{1tmn{`WPWS6P znESZFExNV@O{p-{B=!@)V&11V+sRZ{=Bh-01!ye$ zHRLQW=96TDW6gclAQ!#t=harK8c|;ZDqA#@#f-Wf@cFtSEjl|j%JO0aeFGr08hLWv zHw|aetwydz%(s9+7&TLtduPk;+Xk`dFv{yt{yUIIqa=r;aokrzRT-Mf>4sX%eb=BC z-6&<6E2&BB_khK~TJB2s-_exTQ1110-#5%f4?r_PX$nPkfe{zD%*aDh`yXGXX774>N6CnBrq-#uNgOv|+Z z;lJ*uhSz_Rhdiq2_7XmX{}TB#AditOm-Wk9NjBKY)-d_#Lc111hL-!eVfP=BkgakG zUPzb@egOyQiKbm^Zxj^E5@T^FRoIjDn z^UJtz*!|gX5-VpoQ?0OAkFdW0hAzZU8Lp(){XcYnH^lxuGKoP+i9J+F{s+kDy>OL!sWnrRkEQ+70MlNZ3Mej@BIRG8pm&jb zwNZph_0~lAqx-j^r6rF-3gknsO7MRGK2pHdx~s@Oxmrm+;oZclkNfYExS5WEvnQ&O z`#*4XN-GpHX=huqt+VBBBC+o6uU#Wk3fHcc|GP4+60&$Il@HV;^rj-M&`QU(q@|HW z&SJ%=b?R7Fz68~_ZuN4b@-EhSYhp>9rgc4~AY%a-y6Z*G_yXD?%By3sAPqiYMfVCBOl%b|o!XTqeD@o=pz(jeGZz_r%oik~*(=az>+SJfAWhI8hiK({JB&F?YcO`AK+Fj4CEGuPZ zW@ct)W@cvo%FOhgb7$_nw^vWnwUhqQTH{#fcW2(fojY_mIqXf7x`2;>5l&*{tbyJ6s`&PGqzgPB2X07ot?G4;7jU zK9OMdAoBEijMWZ@h@pm)4Aj?WnYYwSf=av&i8lhVh4>wh;|*&~{xkR%A$DTzsRrJa z)0Bnl_(`W~z!xydjCK0^Hqs>iXK`y0xim zxRF8ny1gVLIkl3?yfK*!ETZx4#W^SB?D-*EMK>jy4p#m0-)yHoaXSbSt=3iIg%6b^~qD$V@At~Y|WVBJ8V`_+Do<7 zic@HXcqf?5HbyhG3o)Y&w=iJe91NbGNXU2A1oafQhA<8}ogNpDM{L~j;gzt~5GP!v zt~x^0L>5)-I%1E2V7#jhq1alC`k_N%cxt_2`--^`6MB&>YpV&jqzQ+^1UB?~v)gWj zIwJ^mna6}vjRn5kkM$l)L=}B2&3&AKA~rmzb$WH#VODRh3#S?OS+0^ViAnZL>5{nG zaBJGYT85BeO~>zW8$))uljjZd{>KXyKZvkl4@RI8|8R8!J9Br!CR{vDTk+r6;WuzUkm z1uN<)Z5wIy_2v*r8}RJSo5b{T8V zc3Go}VvHs#SZnA=2Tf(`4^DS z@>Ty0-V`2Unrnx<7_@JOqcTF)gla1Eu7t9=ZRmIVfj6UieNR7Bo#SF zwY&oc-8ijoZH-Ue&e6Oq@Hp@ss=Ts6^>H?`;;Xpk=M>3f1w8DPF zTkqnPDpC?s#v&PqLS!&I9Xks2SZNRRMTX^DQdOatwI!+wz8AsA09=GG&frt6?bdEw zeKVNp!{@lSG2k3mW(z?vp-5VNHRV1ug*^nl>|wLhsWsM4*7pv=eGT8|cw`m9=Ty{G z=KYje>bdGzQV#b&C}vg>W=>%x8=A^|0GY=jpV>L6$tMp}&C}Mdtz(C212O&w8Ut32 zLT0ID{EVdlwdO%u0;$RKk2)sy;laiLXK*<#R!jbkq7olMBIl>+5?)sGVR)#)`R1od zLU3g{Wj%~6_894MLhOKpCosZJ_JBiG6i>E7h?e;<%zhpFk+<&RE}px4Od<4RQkiX!X%1%gCq9 zDRxK@RqB&S6pM_gJlOz!qiIEygKA283Q0T%F^%i?Fi#3kH5BZ6abyd>Eg4EG zs{S-p$1#-}N;^E=s3Yl6=WmOAl2Q3*P@WM9uH`TeFxTmI_$QXjhwbEnJ<}j}xsX;- z@b)iD7&YlxH0k<4%wegrlOFryS_4cE?N-|Bx2v&mdI*ih@N8q;-CV|5Z86UNWhGF} zd=AYNCyFH%WXC3gNr=}z*I4B1ETkmT6g&N#)^3Zl7|$c~P-HOmpYVQW`oj_Ddg1wo zI^imZijKG>s(F0@xl1RSagtcy*9hT-hJFc5Gz)b#<3%(>X4jp$&eS66D*p&CHf-nY zI%>oZU)EFFOGsk~em?NIy|uB!>~;~Wr3UK@A*q;fH6a~mR#pREMgutS!hW?G zT+uicUT%;+cUgWt<}(Q?;T0sX4o9CUHu@I#0lw0Ze04a<2+K+;^HpRrMwQ%}=%V6{ z5iB5f!>bL~H`yDL68hNRByqLiHMD>qb~6uTo!1YuwK(g9hta~8vez0Ld~vcVis8%?8Mu8Ab6$Ttva){N6dFK;x^36#z1zj`x9icAK)XctxRBkWNa|hg^g{jk94boS< zSwx^YC6Y>f8;OU4sIhm(_tTpE+YQw>^Hd>$YNAk8@H+^Wo%C_afbn~TgL>he2I|{n zl-i9j)6YpzdG8{RM{aO_1) z>N9vIJiOOXedA5mll{yfYT;h2*5q6a9KYY7eZ!4P#IIS>Q`iRxtLPV} z5i*|%A2iTQs9zLuwctavfWzz9&iL?QgZAZj*`4-E`-tW@-Qx@|yVvj4u~Le^2p=_2 z-#xMw*F%rVD*Iz(bKJvhNp{+xD&XFGbPyjmTwkB0GV*aXp_&T)gl0Ikt5$oe4)1ol zjt;XOK54+d3|BPQFUJw@OcCC^?lW6wJ4~>FObN-oR)F%5lyo)^r zgYZQI^&Jo^l%(<$$tg-eNz6zPH!fB*&tWGvp~bO=KE1e8DAkoIw4e%I+l-7 zR}d!P{gaqJf7Rf8Ib{71Dal|?m4uc4HPRW;Gb>JV{W0Uyau)aN#)@tDh1I>4LQ>2q zlJHpS@d5)Ss5#%DIUHFhhb^9sz|tXI|L{#?fUiSLB79tETu*V|B96--C0{B!5Ih_d zzHO+!!dETHv?h?{LRj(NAzlg}Z_u+)(2>YyVU#;&S+eejQ?JGfpKm-YKWo37wi@z1 z8p6npwD%O9`o7`%TD0*pN`eae0bwk3cp&jn<#=9aS9^%)L-?V=I_G$*C8b`eto$F5 z&mLu=JvkZr3ydVNlGPdN`SC%~OG?5orBzw!KOy~4(Bn00af42`G2eq@_frG+)i;Si zMje4K6;}4o$flD=-wz`ork#x%_v_-GV)VqkCFTE&2`k6$wRjYUz5&|PF}7{ouD2V2){8F_*~8`Cl=(C5mzgIODi}jEfrE{e?Oq;e`oN%NmJIb zMITj_`+IUP3oc?;!|(@#@(rV=bD@&T|53ArzK+{orhD^g2Tb^rVfh@)q$8PHqN&tB zlPU`)>7*mhj?*^@e=$s7Xura@93@31{*^@bUg_V)SPr@mhI0O9sJ@|MOiA)P_BT;m z`F~e_d2#>D_UQC5y)XR3@O>-xEAAUe(u)5l@$__at-}gs_?O}OhN>(vUU4C)w11P9 z*3Y^3kXz^eV_559jH7=lHew_pW&D>6x;$ykqt%`cZJy6vH-0|Xm#2z_lO(9TOG7uV zVa6c(aGuu>T*lCRi(eH1bdgimA!IR}nrHHtH5?=zrN>{FkEA*ZxEui-MvB;9iYQ** zfP8(~vJu6os@N+K%Vw|cU1uo28LnukzF?QCNES7bBo%ojA~|&BT3fGUl7Lgr`_OY= z*>HVBSC$%Y03~6iUq$ITfYWHT>ND8LEXQ*Xik_u}o>L`ZrC*J72`#4BK?j%6_h!S@ z4cFJnYOo+?dQ4G)*U;=1i$3rY_f0O!vd=XQ))zOZUiK+um3=L;S*24`#)=qj>%fuy zaH!$>Dpy61kR_FQZ8A9#(U@nvcC0=X`g8U6{>B_`rNlX2!}o2bQAsIoO;qWtF^AI_ z*7UL?JH+FJSSaX)Ba9KgA!a2XS*4YKB>7yc(3Z&2e;$3LH1T0L%2?o=ps1J>gC@q6 z)qtaE0BZm)L&tVFgzkrJ?5M&r_b~?Tn+8)RVvU{xk5!T z5qd;_WE=SP4AnO>s*q$@6Nus`RRv$4V2+I1%XZuQF-i=>4Gh(nS5*I=9+k&rBLe)fBSK+r(crr~+$lwSxdNk}|IL*L)4p~Kx$7Gd#YqCoY8H%~t z=X)RrL8?USRN(}*B8dfYEqkWYFt}wIGr|dfGl~2 zbF+Csy@Bk!s?@+@P}pdYzHpdXRictIHj%+7U$MHSi#eMO z%hy^89m!phOtK0-li=&HU{~5o$R(+8mNCTFXIkA@*sHzKlhQSUXB;in=RN9F)_Z z$GKS^^sSFB3U@O&-=JKvjWSCr^X_DF;WAxAq!p!(ovB!=zlQ<)T%e>C>t?*VbzE2J zb<*j7sp}7?K_U{J9?n|d^Pu1=C3H=cbrs$qoWn`Jldmop665{XNkd+Fv@A~hOwM<@ zBPL@nw?tUcO`^H^4NLNH*h991@Q_gF`!5m%31^q#Iy0X@xUtYLT!irhUr@}GaXTuQ_vzo^hOw#?sR42 zpzKz>$l!e5NK%OfJg%t3dy&ZAkK69zM+o;eFyBPeoV<0Kt z1SmS1r3aC~cA!1eo#xwNaSMEabJ~mH!3O5@K~zdIrirqy!XHBT_(Gg)lzXVb`pOes zpX>w{tR}GRi7rlo4MZ4*MZyuvEfB-QkIb@9O|nLdsqf)Kl1#2s@Urervwljw_tCU2SaIYPNT#H@BW_ z*gIT#A5)A5EYDDToNmnujS;^3Ua`oXC6)O!GFjkptf>W-LU_92 z`9{+uA=xdk3!g@)vt45*NNVoemP z3Vsp6jMr-=LX1R~|rG|Vq3uQDK z3~zJFDOhO1$SXViYyB{N%Gy(OA8(--I}qL=SS7E9yo`p>b?gj>^OJFL^W}!@%d>GE z3q3`>f+%_dY1wAB)9p5KIz7D7@O-{U#o~`DD)Ch$mMZJM@M?oPsLHxe^g+_Nayx9kEO&?@NBOk}}>$hO9Z^KtKK0=Im5>zoDGw%H5PG2qyk0VhZ{IL2Nm8 z4K7{_@zInNMI*)LKkioxA2;MXxxT3_%gO>SC~D9rXb`)pywX#z zBc43dnHpik@h6QbD@XnHTW2Y;A*V{hO8*q;^yIL6ZMxkb)UYXjajpDc__SgBJUJB- zv?dBw1%HNMdU8cT0xy_^&l;vLLZuopyLqcI1Qqu=;uu=Z$B6g?_S_B-7(<8rdBgQ> zcgR4;tpP<@rEq9?&$QBZl`ATN2Y z10j9WkPg^$6&cn47WEm$kPEek^MgSj7w<|?tFDzTeA^&>n|MS~igN{Rwc|Uqg9D$e zh;^qMbBMWo*KmCvqghjnTFUtzIh-o%&6Mmdd3Z8>-@ttPqg6)osR`9o=nn|x;Db&? z?%|L~>kkdkw=4;X*dR+%%K4FIPNraTUp%h-n#Zon9~+jhH5M|0ERs=Gu|FY}Q%5QJ z`00LXfWFL`PbX4J`57sxB{Xr=69-%ksfYf!%O zOG;9B6{<@9CCMy5d|Nyoi>bpf{K^2=<3F!H=`U4|B&3XAlR@Vd|6~+Tzx~D_kUTI% z)KS83N#Lwrqt-jnjWPE9JHzqKfmKBcPZLQ}k-sOBPV86*!x*GAus;~E@1rf#ZKYS_s@9{x1XZ6<)=%lgKIS-(=C%#uf(L647hbw&5ao_`Py3>3C z2`l}-q;sZR4jE%K!pay{9w51pe9TeRV}m zDv2uh3goixGEiOHUEi{M8mXEF**yx#Q@{ zhQ0D~UKU#>mRRgKDiCVXRcO(*VNvcM>-9Wqy{a+87hKCqQVcm&=qmeaWOJ8X{x_|5 zH=a&PR#oL*gIt-j>L}2`YHqluVP32$92J#!E%FXwK5^^7p@xE_qavGl zKZI2L+7##bT<$OOUd(Wq!TF{Yh1Sx(C~K<)htmR1*V3XkZa3kobU4DGeO*z-%6Jk~ z-jU>$h8lTdFC1lP2R+n?oU)E4i_N37$6MFn!!ZWw3w@WAq?(q}s;u;5Nk0tqbYwFw z_T!pCZYvAN8N6>2UUB+!Ojg;)lTC-Y*qj_rFht*6v2ts&VooH6eE=U_=A)Q3oZlU^ z8jHhllA-zffUF~hn^UT)-0P6b?T84h^R4x8vZ499d($qHm_n{gNNEwSGej1-@A7&E z=Id%I7U5J;iPty8ZofAzhwyK3NfA|1i8my1Z1CK*>CA8=gY%VU#o!4sCEb`LI$l^V znnU+0ZV`WF9!}s0?-+%f80uO0$E!ODSuWO?WyIBro6-sfb6TCLDFkY3XW_i(M*Lh$ ztAX_5Z)Obfd4Q@Yc4(qPUQM|=} z=t-!iq+5~1QEzG<9(21dXAdyfs?mWt%@BQc+bYE`y;NRJxHU~+dB-|AzK6QGKHSDw z;cMz8F)^T&&U>hvIRbuL+8~RO^I_C&*HFoBXRy8zuwoiAmA%8;lfqW42YOpPPg);_ zX1If)P2gXx-k+(Cx+~n#h&tC zScV$3i3S}8{URjXoWs+E{rW5dew&RUKHsyD5;KZqp{)2biD!9C^Xw{mrnq6UhU>oK zZ8Y+f+*!tqU9R#ll46VbyD^N~w1qaw^jRM#o$uATJxd(o;^v*Rja9zwiP}`e98H8u zf*N!V4Z1P%oTuQmV*dnJDCiTg7E4tYM{KLH?Sd6cEbA^awO@s%c5b7crO1lRaqt=2 zSXJ9@44PQcAYGcS=+a7}%H2Wk@nhv9rIC+n#3sJen6UEqTCGef2x`xrXb*?b(rJ;f z%g}v8XvN-X2DFs4o20`)Djj@i;LblDwHk&!2I+H@R7xtSCK!2CU4@@ZIDPU)Z;=PU z;>qnh8>nxFoFs%JJkbGlRGLR4rO%sO9j;@72BsEz{K1aO{O46pNuXdt%Bw}sIdJ7!d%22Ko3 zN<2d!g5mn2a4IBRP4Ih0RRs?TW-ZcP9h?EzapnXYWN?>$7#XA+Es(+uF<6OdHn8!h*2Ve{5@ElAP2eA`{#CP#t!bjeo91n&_clOZWTY%5;PPLn zwi<9B8Xz%9?B#8bYB-TKGYt1NV4uHJaU@IRly$$%O6z;uc5K`f?r&JWL2+rklVVDG z07)E2xIG{JH%@NLogIA~$Aa^LmsB5Us6IDxY`1@vt{U(l8o(ZQ5@BX+h=9w9b{QUQ zsJF$xSiR0BjaZ4wdP;i;Y5a((Daqwx;h_fR`-l~-QRI~MFlD8$%`e;y4?if@G8HD@ z^706>xR4SzPviO1nea$M@-@OGyRWIGS$Y&PM*~w#2{DqTOYIrJYlTM}s?Sd@^yJ$W zNh7a@JcfoG21DkC`hlwlf@HX)rlcp4!~rD*a`^xn z&O>5Ad9uOzHiA{egR`VEpF$@6W_X0n84g}gHLSJxkE?eCC5KXERR3uvPdHmVg_V1} zpZaveIp{oPNo77mnd&Ds^d{eD8m4anMP=f5OYW9xD)d=|t`sziCuHg~MbPNk#+nOO zEa}y1ZqbC z4ldE*=E`Asz5)BX4^dG>mm10eH&l^P{g+XnBTd{T!c(Ql zPz@W@>gnh3asym>|B}{^aXrc4_+OO}YRoHW3@a&T;RCKh*4w>(oq#jFuQW#Z_McEk z&`Sgr`6?n)#A}K!+`g${c(s8Ya3DyPl=2#-#DirWM7+D^CTj>+yxu^!;@_^`&8u3Jk`mRwG5|H?4K#$Ga&vz4cK7_`HeC4= z-e^qlHG8@4t?IqoB&*;z5zI-TY>mf@^E2Vi2I%{oW@|l_l<^ia7)?Xxi{oi>*&qH4 zZ#5uaB~2nys^fyndmDLdq`Xz=)b%_P!QC~j`sAtW+dbZ*7v65rzKL1V6ZEp$YQ;Nf z1s80Jlk)N8Jq}D`xh9>yABJ}tQ+&&6g{W9lB&!%|(z|F9YgvBy>B7do1|QZ7?>1KW zLLFI0jL0cfRqlJprOTE!xbYAC59bu$Yp_1|redF5mQ?2Z$V@#IhC9?Z>^*wF!TG9o z$!k+3rF?)C4%nEY#|P?$vz@`YJ-mT23?DQ!-xM_~NtxzUp{wi%i~A8-pU2Gl)5Zp0a3YED=KgU##eIf2*73Z>7>96s=rnk^_p^rStK(TovYk_f zuChNzHg^#+a3i-f(CL^ThR++WFE%n3{wc{R?hC}RN$F$;8#C7OHInc}!@C%BBGpvr zmk3QhYh#j8rY{@V0sE{XqxxT=K7&g<8qQZu84nzDG?;^<}-ZzZ}zE4>Z zRx31>`Ylp9=%jx=-N#)a-!?p7$5g?inv%Xl68nI(vN_kDo9m-Ze%HW!K2^o?XcAQ3 z_sB~tYIs<=9lmcsYh2&4G?Y?B)qg;BF2b;ibb8p&TI<0@k_z)f1M>ASg^*O$BB{EH z{t?lPH0Lo0+ddKTZMQb#)-CJ+3_msooaM@CmJ@zX8F97ZC$xfNTK6aw2N;P-O4yi3WYWhR?l>z#uRB@+Or=OofiSZ1{sQ?QRfQeT>KmDW05i0M*(*(poN8q|Ue1AB8^|TYO=MiryPy z%K0-n^lH!@%C)9=xs88@zZjU$aaR?|wO)(A$}s(x*3kcEnRr; zGK7B_lF!ZIZ^w+uPlcZH{!QND$Wt0QS;_ET7Xol{zyE&>)i-8UjKbr(O8+nEhk=fr zMf?}j*jqExX%6e+-&_i%Sw4d6t3;(uN=qb_dub@kmyD}%e2wNZ26if}TD_?*S^@_i+T9*)KwE|%b$YKQPySriAXi?>(g5p{%DO~Yb9p%$z*hw1dWK%Oyy4x- zl|>s3$MaJm55HF+f=xoM{+CAtu4pJoIttP}BEY0(<4R<3+Lj_!G4d5hjc{c{^ELR2 z_*Yp~$yXtnLvIcU;oR4{wGwB#ssa0k-Yg`oKc}*+lCMT`j%E(`VlH)c14PnMt|ppE zC1qTLj5J-F8ZP#l;hF|MCKhI zM;N%TPg51CHJV70iae4?dcxc!m0k+OYypXIl!5x{YM~?8BH4+u3O-u%$~RYe@iTjG zT=X1{F<4({W9;SDlAPj>C61q0Z(YJhH+1xx3db3$Z_}dwdi=OKH72bV98U{M@yfaW zJTCrd3}?d$hVA>hRTBV}ROX3fN~|#Mj^ZoDILdUA0Xn^cs3D&SW?~rs1_tf)cl6k^uq$+xeM7R@C8~29PiCU}gm5E+_KjpJBxFq#stUd_!E7`d z>OzazT6z%pCI;@?qp4y7*TlH88gNq@a10DEM}+X$X%nF}hBd;?j1j)jvk??q%-@wD zYR}Epp49ko=(dfk$>SDpN#OjgvB$RnJ|-9|1a6ycbAq%4q1K#2YuKZtldM>si9dx~ z7#n;&O2vWLEUC;jWO9f~Q@lxRbV9#}Gq?uni`7(26jf1)>qwO4)7byOq^Z5FURZB{ zzEEGqmc1mXyjzmTcyaUXqsr>t9%#Y0k6({*fz#wMr^?zunB zz_;NyR-a{LO~L0BTAD^6GC}RRHSJ*sTRiYHnymA9X0IP^W32E^JPIW-qey09h2NI& z!vXIjXwD5(t@b`yET8M_M^AS4~_SaQkcm1~5*#YISas8XEjpJC7w_(!W(zbs?3Euu=@K&q^+$%Tuf`V^eExZQaeHX5+6Pr-PWzBIQ!j43L0 z6RGS|(tKbLeetl_0DXN*#RMY>D(_74xQ<#>|8(<8dw;V%kWe5l7RN)c#sJ@7R;WtG zi)1B4joLz^IJy_B0}MZ66BYM}w8GiO7T;QSNsMc%rDRE4O*n@p$m}ECT@0tHFLxJ* zt%g1ULszeKdRwuSgC?@5Vz((ag`5^*-(1IQI@=A_w>nl4x+*l4x`R|Y)>cnLrOJuAW=_gyGf&qS~^|JPv4)sFzhi%-AT_12JD;Dm6asJ<-bVMia(Ed_L<3#k&^}zg*@M| zeI8haJCr4rc>$SRLxO+G(x~B_dbo?h`P>s#kZfuKa*DbuQL@S!zrP-0yqlr>CJoM)yNbKKR8fgd64|+ygHG{c{+40-Cai_d(qPuu z4gGDBIc*#6?IHlQ4zZT>b{U*0?wo-;H)Tw4t^y`O`KHUOYY|M-5b2g=5frD?Vb4^j z-Ngy28Dqc%>|K3;sq*LxQRQ~XWw$ib7|tLBUmHx$wx-tBXAp)D7aFiHP@zhab4`?F z6+KHdNA-NkdcaxE_^j2;-ub{~)P;5x4QzQo?bE3*dbn<|yWY>x8^dn+%n&#!31+OY3`XG30I zU!V=_;nGF_=u$C??eE~4jr|7i^W&0^WPgdKmi{8C?8);CC*GPGE;=Y?RuO7WMNMVi zi_FqUJdfSO*f9|9ZIHf3RWTALLFL_tJeF+oNbp45Li{n@*C2f*TjALhno7N&<}!_L zsFC}paGmJ=4bqp(iXk!yD(?ZB%VL!RGe)e+48j8q($`5BI`T1#WRg|zg9v67ifyho zTxblM*uESdY_L9OAgPpEZB|s`LrCP1ocxp+1>#`LC#~Yj`9lrd*KJfdJ{96>$HQm` zU9RN*)Oh7zc(@_^=0GYT`PKyW6!r+h4hJl^s?Kox{M=+a$V&Pn4fSG$bIQufe-!z2 zKXgAWjhn(l+_Kx2J36RxBe({Nh==0$#&KirHvYtd1 zr(U?$Vy1;x@MaJ(c(OtHM);&4Su3e2=_#74)U;7=@JQxU4a%3Rirzuwl=U>Sjz+H3 zy-GX%Tb<@;gFFEjo^HT9Tp!TrNnXw06%4iJ8MNj&=%)w=+I0t;4B9*d$^|q2bqLQi z2KmmjR|HKe<<*vF(H6E}gcIQ8Pu6zwyyNC>V;XPI8Vh{wSB27dx2g($4#7)eu?uKQ z&o$Ty*OyqfDGmA%RqFFd<-V%?&v7ClvPen8u|!3i2<4@$twC~M4t?_efbX0d*czJG_>EDH`j%i8%r+0udUvR zTVb)t{^e4d8u$tt$QG!Bj?Ca&p##U|mBt`n3sj+4AJgzys4DnX1jpJKPmQF_9pTl6 z>I>{?w(KPxPM7dd2i5sP0iJCq8EqKxu5EdhUUu`BqU#DDdoJ09F81$sZ*L< zvDup04R1Ewt*-LSl0wg^3V>Sk7Fxr-c=!}k@zRX98uU6By7VcdjuPHRg3QroXb=~> znzMDD^9gS^B%hau?JU%hET*3eO{Knr)N;c>KvnL8eWzhwjE0dU75OeA*+J?awvBjJ zY1GEXINV3^ZiDr8kg6nk)kH~F(eELeL!v!lEOqI^l@IWki} zkI5o#APJv0umkSrqmB~3Kmwa1noNH_G}~+(VV(y|!xs(8*ZXB5sYN-JWtIFTl6g3g z2ZuLq+EtHN#`WtvH*J%j!1ovKt?;4b^npT9V$7GfLJ+hAnn`^si z<31L~>#~=Z$AaTkDh%Kr)ZbOzG^&w&a2<`lr!nLHmoaR& z%do5*doVN_c~6HuC%SGp0hXh-{hPL>Mm;w>#itwpV=Oq}MjdsO@Lv)*KA@AC$2Gz@ zTb1UK+yZp9JD~gPv(4G%{FRH;d=JLJytFFkHr%;0pvT z*Ql2Q)S^RZ5l_`4kh9R}j0U)2^0J2QYks9jP!dwc<;bANk;CmcvmGvPD87JRmXKo3 zDF`a<3Z!wK&hyvU7=XJU`+Q~KiiYR&aLOmI3o&I~i7Yl}`djg86xpP#mzrar@|6vC z<$gsEM3?j`_9++gYRFY+2pwFF7TpOk@kI%ZBMNm@V}oxVq*7ASnkefk{Az?B!BQ~K zrXd&HOm}sIU)iDVlqNC&aU_(al;~3STAkdPMQm#!3+to!}{X@sv4(ry2!wkk( z&qYE&WicfkP7>#wd2d}~?PQ%B_Kq;L30J1Fj1Y4wi7NF-Qn^(R+c$AanmeaCRXNHa zecLgTh5*O(lyuivLu_Q}d3ed8}aRF2BJ7ri|ePV~p?01xg6I ztfin631XiuNBiR*ln!R*CmED)OM$r`Aj>K3I;0%|nl@xOBQbVG*JKz@HdJ5WT*V}l zniyAB1FlO0*ql-*8Oy5ZCi$+&^$gmVVG~Twa>~0td7PC^wkB~!I=l_~%JKPK1N4o; z)RBBH5me+2iIg#4Uc;S+vp*Py8yOmsjxMm|S)e?llyYuN&REYhxwaua(@hL(!o|vc zQOsVa7lRf_RH-*5mACJIWf{p? zP9;&Lo|GX<%T-}wPNqPcLY!TE-iBqKm8 zsmxoEc{rFlm8cDI`vl%{ioV!s2JHKSSxeA4RaRF1t;xSO%eOz;3p`jrpD;vU?Wx#vlqHpUI++|P@X8%7C~x6{ zoAgsS!$2qSuU7wdsv}=d6IoQT8x)IMy6`Z{U=hz(<1HoZ{S6xp)>pdJ5#$m%yGQhLNsS=T8VJ;{-XPPnada2R+-seG8(hD%sY=G6*&4 z9GXP$*T$(}1}U9Gs2W;gXo zviTwGGH9PGTG6eEoU(S4#ZENeC^NvzbKS7V(0pB57Ljb`lt?P^ToT#Fuv=(U+g;zX zd-ImfJHnj}&^O?VMl92^nzGI#>j>s99!W(j0ld=QKXd8 zAcd}5x&{W_C_05ve{xZ#YLf=&i{e#ZDO1u_dXsc^dg+|O?Boo5sFs2HdVz|g3L>Yh zHd&>5I@{jIeK1o7cF^@S>M3oSv}2I7;)w7t1(WJws=0RUx;0_Opbw-b$zo5b8Zm7F zYD0xF3qs80~Y2Q&%J2R5m3)_Du^Z|q(!CV#x-}5o> z#+vXz!}jfoD2WNYlrD*@4G*FXtmRlEqODX3e$ z&Z(vPYRhA23q9L>H@mq<`?1CjUx6>VNBc~BLAM(4I2yn(oeXE}D;7I@>!W@>OizZ# z8@SKY%u4Bdcl%*nSJ_V>n;#!qg`k8&>`hS!u=nI3<0x;V5ZE%; z*dLy3n7(0Fx+v70G!{Zg#h*fP_7Ic97FJ9qM~J%j!cz^!H}i}VQnY0?MLmru2JWVM zSW{@u)MQIAt`%yBryJe`{?+PLT6Kh|i7cwvXAsNIU-t*>Mjv$!?u34(f%^O-RS~Er zlB6P^rO4z=wGqaWU7gQ1NZ+oV3YSb3mG~SI>5(;u`)Uh;_a=nr8knzlqCjjNSxF(! zBjkpF6xTAK^W}0B`=ucYV>E*}0{WJwtmTI18w<{Nebz!<>?o2e!qmtY(8wbIT5^e> z9K{MRG&cD{riGZ;R3xK=gME%zidPd}L=*TiWa+Gfw+W`giwzb@M-4Y?Zz83XmykjS z8EcQQVm7?gAlA4LrIkynsQSyOURp`et)wqE5Z@%Qq6Q~H<-LMD@yFwl926+t`FN$F z`KC-2G?7!*tH`4NSzg=5wu^#pV+Z!{cV=VR(Sm6Y)>4ph z%{?;V6U89(h04N-R_1)5ATlR9f9rrh44-T^!aub$GwcO^4~>1 z*YNdl|CZhLty{Kls-J!C_H)9!4c+J5sg#tiCd#@Be-Gj8+fYE~Z90F;p51#+-*fKn z@Lq%U&HhWJToO~(`!u7a&&^AzN9{S(qxT!4ub8uxtw&i{=^r3nT<93=$3MVZS!v`@WvFRLo~LnJeN+HBS4hEt=yJSZJLY?!_UDriVn$F!965t7)O7mh-_awB}y zz0|>7pYN+v20RLVV@yP+zzZsbg zzEb7F7DWW7iKwW+&k-ogCZk1eBMNw{_45Yi>upC6h@h;bkS`FzDw_5;fD?ZTUoTNyHM?z| z_iKjl8WVg@m~KIp+-pKL75Y6w`E|?1vo3t!5HDVFuT$C&s%UG&4=+(#zJK#aq+K3) z8{*k!EWZEPV0^=)iS9%#&CpMX;Nf>Xc7`3qy;f}}e1P3@M((Eu=Q~xLh2*p4RF+lp z&q$`nj&lLM`7k*g&IfFC#wk;S_02&_rwqz!O8Yr!tee_qu?7+sb$(%RzPhP0WBq_? zD)g6x(pgWdbi+12;;#(Pm%WO0KB_6{*CZVdQu#9Vyf-fV#xQ-031uzGXZbI(xSH@= zn!q(`^{vmsbZ}#5YAP))u)qJEvBTHjtDxARiKXgl$nVthMiZP=_KMlI$1nVjpQJ(jA`$>(%7c`8A@pv`O)|2imo zmXc4BQ|Si^EB)V@j*zV!WtU5=@a)hWc2fMu(0$$CSQyx9D)_$yr+omZjcp#ixfJSq z`CzJVfdaj)WD|cTA!S?|dNLzO8%f~%&T^^vGKS;x?kaYpBthjJLY_F2dS7a%)!7#= zYjC~^$TCwbDk|@CSV~=lIR`I-TmQ?1|$mBTAbw^b7^foKrE|SK2bpxJQu^{vu zDz)TOREjG48bq^ZPoist^B(^Q*EC3&Q>QIC9 zHKwr&H?FAAYZJ;Z8V~TuC1|+u2>bR9Gf3YTO)`>8E2+%G$>c;k_Fe1)k1#Ob9@FtY z5IRaYk_3LZG$5tZ;zt>Z@55CLYEe&VN0Y`av#=+wBpzcxzW$+<9g$J}W2w)Ik#{TM zqL2=D{WTWDafalZkYpkGPC1ojm3%zOX}ChPMs}>8V2B4iTqPl8oT#}QJ3=Pwh2bQ_ z@`bevp;9$Whu%b2(bplG`vh<(CY)?ozI>UPB!pD_x)f*hk(*?i!y3b)sk6MEK{*|a zs3Un=qN&vDlgcT_*ku$rMS|(FK6iWrgZJ%MTjm;yF=@5phHAx_UyS|jGyOq*a*=<8 z8yPEn6CV|nQqY8W-DB!%$cJK+D_zC=@YsrocbrhU<8ulcgFrm%tUbp2*;e@EZ}2L$(7+X!`FT~(F4hFl#@7Kd0S3TqATz(*6&QNlXSSrHJ25e=NY z59I~dW1KJ4lI5h7a>|IS6}P4pN5YC?Bdwf`)nvGhF~T>e)?bh9 zJ*N<<$2ZiZ+HhOikQSncgT_K{A0|Y%GhE-&NXZpYC8gY+l=8lh0YhkaFqnhi_dz*j z-I1)zqEs2T4-L_6Y2@+9F2PDzPY({IPxpo#RSA~z99pGmf6;Dz(KHDR-%AqwCaY|P#cky6T;q|n1nI|y(k4(CQ^ z8IaGzt=NSS^^~@Sv?D;<&adQ*M*DV%MvzGzW1ib?yf7FPZ_EhaTuos+2$MM|Hk)z`j-K&O!}9IC7`x&liz(_(L`h68?tRd!J?97L$HFc{ z^!4H?x)P;gHY>!{g59)$C0lg&((~*wY+q~5BEronSrt>_xg@f+VoMsLuRLHG?rdnj znLuezTM|;nd1R=E0-p%;-SZ9NfV(+-Jm@Il0usdQk9z@S`dEkO7FQ$rPS9)E9_w4Ux3^*JAZgr2_D#^FBe+hXt;qEjcZSuq(Mm*(e zuxnh{@&F7KRj*T>&Q3akiC2QK8yj)^UJo^g&dxmz&NsQLIMBI7T5V{Qawx51(jX5w zhg4DZCe=A(%IyW`4-j6(^K>}Cwn*SkiAn9o8?v)Cbs1v|tI@wm4iEx04gU*SSS^Yv~?MsQYA znX_cl{Yfz__8O?o?a(zyUp%oQ5~hkuoFh?+6T=nWb>`u+&@(ij`!mq{sQ5#YQcRy1 zaerb^Bn4Im2IO>qmIhX$p3?S`76WkUI(%e1#Q1YCNN)fx3CZWn*WqVbB@Z>9sp#V$ zVPv4bd{%tE_*Y7sCyiAU9Rgm=>4#c+GAryezzO`L)%)%&Be~3}B&yT}rIxOGz{WsC z@%A4SHOmM!rv^bpmAXhOUE0l|G1op18~JP4n9=GlOmd^gFkEEVzWJi;*~A??v(cri z)>aelr6$0)9B}g&qwo9~>pfGQ{o&rm1m94S#U%SVH72bV+=mvh+trnO{42KDM!;>g z_ceH5%~mC$Yoa8p==%|UB+&A{9-^~|khXe_8e`0|-gSS2_g!k00;57-Mp-R*04<1p z$Y2py2eb#gq$oVlaGhQ}el@xA{7Kc6^&qmwf@8R%4SV&mqxr#x=NsK}W0IWal&UKC zA>=Z`-RLcbhZ>U4uQl^`2&wqPD1IWu?FBq|ZWOPj;f~%;w}s1~!@~{u&iI|xdk?EB zIkkUjP-@yEXc~hg@Z+XhjZq_>J~eju#-Wlcn5C5SD00#Q2@eAeMvLLmhT<#cG9?Nr z<1w0-d~p%lNO-KFAn7R6r56`LOF@q#h~5G^AWUj&!v=1!L}Lt(H!PpGkW}Qe8AT;N zfkZZov_H4Fxhg!-Fnwzz75jV(O{G4GR8|hW!c;>SHEQ&*$L`4nh@_)HDIqy5Ybod{ z1f2k#y#9`LU46qNPNSF(Pc`W6E26X5GK=|D2({>Gw1`vD(5|JolAdnhzNsjFU$UKb zl<*7^I73Qn`*_ow^{9?@{q&ORGY!x;tW|6kSR$=9Jc~BSevNKCTK{Z=^v#f3X)`tc zLHKr?Q;!z_r?0O%W^d5&!cT6zqs4)&(06R z^Nkfgf3ZB4rk|sp(q2H?<@v4Wr+C@z3k?QIM-wswOw>}ui-_Q-#Pf?CtZ;=F8;0*w zmL74WimJba>TC`YYQ-?o3okYLz96>=)lx|rFC!x@2J#O5_2K0Palng#BBT1RF#7Al zD=!KCyubTZ)Mso7TV>KS&2Z=HLtHvH*RIoD!zoZhJjeCn3qk2hilo)otiFb(aJbM@ zN<^ z)7IiR2%orylh&?}E(&ioSf4wbl;V)IR8`4uBbnW!Zkg`!hwyg8^zDpP4S{Mx1QquV z;-u-!$jHEYtz9@*3>w(k^-ja~g=L3PP|)e;3URgLU9>|SJ48|jxPKlyL2!CvF1*{o zeXE9Jftiw=;@(3X-5%UaHXQL81FovxJB z#W6isZ^SUL+Z&OQ&l{kx@@5@D=9H=`_Y368pw5#hP3~zAUo=2pe83z;5hGF&b)>2s|N1Nb17PprIhnE za_Cg^3fOpB^6LiT3yF+fAuB?P_y!U5Aky;kpwS6jgu`37qwq}w^HrOQV*q7UC4Y-# z?ue1V$hQs3H(4+f9xAE)cPP)!MkA-4q5kXeT?6ywONFGCXrfS6@b?s~UU2ayRQUcu zfmKMrnkZBi`~!m7LUQjM?+uenP3y88*9t#07OdPtveGjBd_1Iu_A^TQYRivk3*AG$ z7ToU5&()iVUW6YTy3f}idvQ36De5Ogah)u#M%MWLW%#K9`5cm@Amv=BL`f<{~4TbQc=-RvZOM9PUc}`#-%ly)x`DhA@F$HFAUeWuuu_=7?V}@FEe|5 zqe-g+$1VKIuvhjN)aOijUVaygh^qy^rUmSsI&*k18y7FOaLrdctd-j?eq#*qWnPtH zD_$zA=-(2}zBkP@Q9{2nKqMWGLd8tA*z);%QaF;(QN%4ucu@<}nLiv9Xw27CEzQm! zGYG?To3B6M*0k^^1M)c{6~!5v_>bXDpfpx@p0h70dCaLKs?`6I z%0Wc@LNq{}*uynqm%^w~KIQ4_+l_CjYRbAaM5U+E@pU6Ma*x{bL}a*(A^NJVDoGwS zQIb{kAwK4ZUDhz2A2Lb^5+XdRBXY{R99c)9NK=@H^N~8A8^zNaxL6bu z&&wOGZ%v^hYP3XJZMXt$7?1j+>na6ALfdR*bD^QJ=ZuWI1FEfh&l z;LB>O6<4DbN5P6@rnq+OX>pW$GBmcFDHDCG6W<`k_brN6w2`Q%wCj+@MNwS)KI*i?$p&)^ zR~}1GR6|6yuS;z<_vD_(Kk&k+VfdPRg^!;Em3MveN+mbM6|?AFZeVZ+U2;)RX*VQ| z)g}4>+y#biXtuYwD z1Kk5pDy%hj_?(Aa?BgF{Oj<2iM+;0X!2OLlM=l}o^~QjUSqlnf<=>M0v7u-XPBl

;7%sOVkAdc=(Z zht4v_$psM8<@#>@Npfh4*oevg9o`c=aMXtNI zG%nkEk$5=c`iK14vfB+dtaGBCZ!&9%(~KI-@D7w7Tah08KW*q?uX)IxxI~i7I+({N z-?pWPWZ=^dTw^3?;oD{;37r8Hv)-gnnI4O(vfH{W!$Gs!+U_ne?7-LETN?CNm*#yx zv6eWkXu^ujJgio4N@v_MU}-`#*kd@U0>m>PF?H^}uvPwU4Drp5`o2Vn71MnmEzawPw>iwx?B1Flpe<({CR zLh?;w!M^3w06GR1mSsmF?dtfDsuH{hV4XQhOTZ~&mGOyfZq6VBR}Zot0ksI42PoqS z$O#9UdDbl%G8Y6*#E4n~3Kb*{ZA`@XDfSI( z{X7v)Lx#jhVnOnj!OPST*_GXL7aLeu!HV56#0YW#VY-E;m|00eZrgHS62dlXlx<+p zwYWFfsK;D;sVWbkIV&&+pEQ%7H&$`01|QZA*T~NsONNL8py8|HK^8jG90{P{M@}z7nlWc+q8dO-fFl1>W79{UM;GtXaR_Re0?!g8Y)-4purD6m< z1R(W65wn!MK;C34HR+*-7dpQXAwMNANRs+6Q1x}DLE&0?%01i=1HIl@B!R|ZW>F;Y z5db3i;onBQX(e;rsR4&Y@d~fj>JtAb;4zhqPtewz)=H8?x8nK>noQvyZ7i4$YBf1M zEr0HBvIN@l7}$a@9uH19T2ihFpc%a1iiYz;DE$S9W)CHHaQ#xAU80}qRB7J?Q-q-n&n zV1%xii-*x!?j^?>JlmkxpAXV;%()mDIpUrJTqa6Ul|#*@-E$2q%$+H|V^t&Sc|hG< zUaw6COAfM^3$1!`vV0V0n7HQ~Ga~tA%>CAP0Ia+=G5eQmF=^}zU@ZFi!amID@>F%) zz0jBz*3Yl!o2V}FF9IHYs~;KSBN+XP&5I2>Y#LS=VzQdVz64lQzTV<;X+{nqk-UX! zO-AsS8fIAKgNnX=BS+lJfYa$1jvkqjxOR1y3?45xu&~-^4lB6EN<(lkGWn@Wr*KDilUTvshj#zO?7h)v62Bhmr zL6>`S{(HBytva<$a@r$C@!V?-G%PnDR@0KMp-c;22MaJxB_UEQ#`^h-d%dBDHJn6A z`N>nNOZFSUh8r(ASo=C|j~rIx-e{0v3t*Wfu2_hSH<5wPby))Xy+iKJh7sm} zvOhr1Uyz+oA2jGG`QeR6Y04>^4_2E-dB@Uj>6(xGuz?4b8!J$LXtIh#egsH# zVwtGCF7`^gi2JCaZe6#?>&NCPO7O=3USn~4ll!b0 zb7HC~{@^D^qxukse&K>9i~A{1uOie%IUuFfb)Pn<&Fj8ey1Dwx3i2{k{|wX-tjt^r z5TC48uj~~6rrv7E5Uo^O|Hk0cO^NNIi3DB&Mh0A~{yJlpSDQaElzHGRc!pF)96aN+9)o1s2 zG5BlflN*BFS4ZLxS>`sv<7YjC56 z15!yszXvEGusStfdwm7SST+2f$=!1}$7w`9lK=dyB=H0mMl95l9Rz$k~lc z{bi(P58RIpENpg{>ku+>#QlT?<40>?L;X(;Yt)J;N9m?_68ua=SM?<>AHIEOMVkMf zRXHc&=knM0b-w^nN7P=w)RqGcs*SOZ9An|P6uMs;gTgA1NNJxxOp-6)SE8(YD`gAS ziXQOT?haO(-GSU+Ncyi0{d}o!8#_;lpxTf;7368jZ(s>}Mmk!RLmeEXAvZuRb(i|? zx5kRFDIvww2tMSMX~6Gb0J_FSDSJ&$N$~apFbRR zmn5Ey^PK-;Y}*xNTV7d>%m39-7!CX@47`5at`o_Z9=QJ)8^ZPj#8PU)Fj=zy%h!Ou05{9lWk=6^U9uRaJIf`>Y}h9=;{O>F z!d?Rv)doHck*6t_YszcDKB{4_Y|vlO9aPam_ds{SU0!}RyE#@23>Yvdyyl0=Q)t)~ zU>IVF;wfnFSZb)tP%4kZpOu?cjWuC&|3ppANuKiBwBbsy;UuwPE}5#Y&fysOQna_% zU6>z4?#d%s5$mZ9YiiSqtH26`jl$Zw?_iU)o2wcF?-lgXM(<|wc$VR6C<7+LtdbM` zxmBE{g$Pn~D;u5OI21sO}tT%8{ZpgGroIX7I(oTa`5%GEnP%GeXOpuMp@ z34sP34TCU!U6y;Cmo}GX@SiQEmHyoR-om^)#@G=SxsJ8;wG7oI{hFlHlaiMQhpx15 zp}%L~jy3eK$uqSS&xf2a@y7vwyc9m!l!iaZkhJ8EH|Vg4W}@TSyy%9ikbAL+yqu~UFrScX?5N8j9nMXFK;}1$jGZ{ndfzJwDUy1 zGN2>^r)PZ0v_^BK#k|fy_WPb>ObdHuR8+h8;Jvq;JWaViOu@W@@0xYH>nAt^ce1e~ zY=olRuumtalIY}VKqF3p5w{j24i5J9u)iZ-zaFUDPKPt@lL!61D>7N`x*Hh7?i%#% z5(I7{N*=sVyDpE$-Vny#NLX|I{zWo=%I6!`Kfwp;$ngM!CwI>1FkKpOQy2hWJn6XguB4Sq z^z_!78F*MXoJjeXz%d{rO#019m)=&~yHd;lNAAs&fWEthp@+=`Vku=0lO_9>V4oo+ z9~MZFyA@<^)SZt%*}&b(*wU6?+_=w8q}7__DHE}=AX;~8Sa%zNz@u3!W--3%oH%kd z3Fp*T7x&2g@ixZHy9JpU9Jwd}X>JMTV#-i-spbB)iz0WXF)S?BG-N>cRYWHOs!R*c zf(59^`PiJi6I`RY$>780)x*PmUXt9+;GzX5hspPrt8(+BjELIz&$} X1wGPHPSy zE;QOS;%pcJcWPFcHQCBvO8y{?vE$A$CWIxhNi59G_oP{>4T)m%2T0R`bNL#Q#-IFQ z(3L#Wd3Rf5L)a=vqM|k=Psty=IITDjR-7R3VX3>~=1TtGa`A=h58UkxKWsSh5(+PB z5_@}KF_Vw8XK~5evaHi1?7XLcNYW8pZ#h0*?GDC_8Tqx1JCayf?bsMXyY2|PFw9{% znCNvDq)*e}uf%)A#qX^2ox78gl5aei>qyFH z+1Rxw>@y`C|8kPYKr9U(gW;I7+bD_TNiN`$tf=Gm4cxdfGHi~VXsV6LQyhoM5opf@ z?eURWIV*4=DORQF_`h;sozyJ3tk~Eij{$W%uc=1m|H@!!)Fg~LO%SpRtLxXaO0!En zOp*MQDG5wZjb>LW>y1jEhhk{gHrR!L0xt(|cbtw0vioJR>#D|>FrSKAY6%~5!o;5s zJUr^be#xvY`G0FNnA>j9VWXf|P;fz#&>Em;33NSoC7EMH$zt8WO&gmc5!tvu4E9)t zF==!iMk5q8yt+wdUS|;(1vQL`VQVgV(RHddIW%jAW?`V6!1!C0{u(C-B!3~pU&mcw z%nI9ruv!?@*GAByCM?1#Q1RNB z+)A`Gh{VK5Z)KV_c7`nir5OF9>Eo~-zDT9nJ7Bi1_la+USPxugT zV?vlC8w;udYm3v4d%zCVkFqb#HIXqU(49;i6H|+aLTJ=IVH7e+WaYjj zr)qF1#&wJlx0j#UxDSVl;*A_}dw|0dki#`=rDg^H?q4M9KXQ(xeoi-Mz+siq>nVCo zX&NyPBXnY$yt4Qm$;?A$p{{F82&)b0XC3|lyf}^63nSpiYNms1VnJ9~R@|`#kZZV@ z^=U)ZB)!fYTq23)?K9@>5BfBgqej}l+z?Ll_rv@x0!~Xkthb!dNTkf~rKhgJLM1ZE=u#RzZ@OhFHVmJjoiJBVPV1NMB0Ct01&Oa53JL87JO695t0|x zm!ttC%dD&-hcHgVaQ8K~%?5qAxs0%ym;H<3BpP==7>D_-US~Kfm&}(AbX>0^o8j+o zYza$oH`gL&70G-6m>bVB{E*e09N&DqbI+OXtjz6q4>TtIKbU0{sWkgRFdG$L?pN0( z+v;?A=Ir$B#Q4S!_h4gWSR9F>`u+GYoIryf0)sYOGhN}Hg=nF-D3^Xc)R=c!ubCPi zjeQu5g%8d&s!U27+E%o;Gba($!|vh6zOacnRrU4pVGRULdIU^5MO&CZF=tzwSBaPW zqM1Yr+#`)W+w~VV+CU9Eur93j@L`xfjd>J|fqyPh0k=Gd-BKWg+v?#*(mf zfK*RyNgs_o4S5U4YT{nV;`VnwMn4_N96}(HIl9s+wC+=2AjNmiQ+De^YrYtu+#vJM;6h zGB%LLv)EfW?4E3_xln#JbljIn7P6$Zl7!)C4C8;kzmd6Q2PSv8YJTdm>IvizgS)G!})uBZ}!u z;zM4U20RM}AdsG&+2Fi#oo=~j8-7?tUSo2T$P)e>z|p%UOO2Ypu-L<5qF>Q`t}!4m zLxlMd{tfWSs?(0=!47!r_FbvR{(NIXn8!}3q2D0uvA+Ot^sMOP<|SLYE%l?M(dQQ$ z@>cn&jTD=TK6(oht)wz3y?E5Bp_Hy{v`cj z$4Ta@bc`=IW`(&WiIVSE)5qjbDS`&Q0tR6d#+tqGg6zkPTvrw!qIdvsuQcXG^7|WC zAV13s>iLUI+WRWlJ8TxLOVY14hK02$PJH!i@`1Bp=o0=Kz)`s+&9vFw*FDtOb1$sR z%c6vg&P(pK2ER4vy@;5Shl`T^IJ6(BsW{De2h6}|pG{U#mleakd#5pBtNi4~-NjJ1H4!EHT|gto z%MnTZk#viM-gYgQZ?{(WAcFXAV~9Kk7(!)z7kpR;L(|>^(@Dn_`lEWD%GS_qO zHRgmlAsIEbDD#|Erxovm73ep_^5RqvA$!^W_kLqZ@D7q#k*{Vg0FC(oUkP6$c5jt3 zDFq)ihJ>vOQH^H!-C=oYn(!f*fWV3jim2tK3**E*xyV=?x@4*F!^V=ZzzRjx5bK~Ch(!CPD4HeLol;URtkpg6X*|Q-|m5)lRX=sHCBbq zEEDw&*CA3AP5c~8JV8v%EzkI!j-NNy+*y8X;|j9I0*y+N`UOzYm2&#SP3t(tdvUPO zebJ!9`VFe-=i!5qrU_qy35Xe`>ywkxeT?hc^7$QUCf$Y3;e~!@-hJ5^BaZ>^A=OoL z(#JJ0H0&!d3{3}T2FZmFeo7=EJ=c){=U0s_VNtZ)@k3UV;I9EZEPWc?s!nmgZs1|w z7`sh<4SZl9N^KhP4VFF*{PFP5k{a+$V?dZUIwXdelO_9GU}GpTsR(;=_jV54w~ZBH zLEW`e9gIHB`3}rE1~pVSWs6tt`r?s)*U-aOR`O{#IYsim2OefadvV~Z+}I;$>vi0U zj20#Qjr+aP!iUP+2Fontte=Klib!^@HRwl4I=lX%!GuJA97ePJDD zW)5G}B>7h$qo?Ls4~VI_jvPKEi74*ZBY_L&M`Se#{tdt-0VgB>Fuwx-(`RVG3zfxe z_giDq-GjbW0@={LC=hAz?_e;-d&c@CnbD7H@n+TkGnR$5YN}}+;)9W<3BQL4=uI)= z$gS%Vy+rl+g8`4yo8}bB`y+S=E674d;q0NkvbT9J4&C{a!G}%M5=me1bpW*H&#>ku zV$IN5!yfqx7e#uNI)d*5_ZMT~nMxLhp9j3rB9F{)9dNa^Ve*a+%lE;A8l0_FulEcuj zf5I@lqvZ2vHZKk?>PZuycmFabh506l;+hpI)~7B1hAr?FI4RSK|B_76cj$#a|1oBS zEelXgt>8mmnFjn91|TyzH*bmi{QntxXrC{+X^I}AN$%w&U2a%}Zoap7ZydC}y!=S^ zfS5}kp-aVS#uZ=&T-D^up)S;9wjvY!!K%#j^&}s6MPp0Y!b2ijtPTYPExHmd8j?TZ zWW|9Q8do+Jg~eegss`~PlcA9z(4ecpAe~30r-J%`8g{f_)tC`B;ACQR-jX5Gc$qSy#d`wM%LOg6hphN0lUz2Qy*;H=d=5p zl#Vjigt_^tm>QElX0>U;(J%pPdT8Sk$L)4Ym4&Vzgp>Jm97lA=7=t=NuP2r6dTGU| zaq0hBn@Ur!2~%$=#I@GboIlkplC#ZLyOFM19cv7}N07nc%V|Xip^A1?dB} zl*U)xKu#=4^TXZo#<;NFiA~Pew6(-(#tAS3kpwf5mIEsz%;N{{TE>d7@nP*LbfQcX zt_>5i15{ZKr7Y?FHg#;~xz0!ia7;?75fI;% zFPslPu~B7-J_YD4f*zl$W{w_=pUlaFb22ZI6H zEWiy>fFZNk?$Z3S?3h2*m>Ble)|kb5O_EOox!_8~holbn_g5F@TPyu#cOzrMrFJC> z2wHSwScL8)37lxCL~_;o3#&Mi%$;s*3G2iXIjv2}lM$yCXTS>dAjuCRa3WD*IUGxN zFu0o-8^Sz@L@aMZPMQ|nlvd{~=8!)^`3?kt3sB>qS)>U6C+Gv4yOLH4gq=c7|Q*)%8DM@Zw6Q|)eJj6M`( z^gy9vtt`>zQgAMnF)UjNWkU$mq)zT#c4r!M1A8K$+^Mg)ph@akpyE>x-*P2q?&=0F znPkqnO~#C!L2oTDtk&fJirc%gESk3&=3)Mw@x1+nB6A?z7Gqc7^d_B0s8Q<>XwBKM z2KoD_u^XI9GfD~ zhaN-VZfmRyi-vJYN#7hFh5~5Lc{FEO>_xY;YIx^%#+Up&s4k-a>z$+>?9VNowi4zVMzPh+;i7`Oy>adNRg z|NrrJ*YQyt|KrC?ad&Ge1ot4t9TMCnP&C9ya)c!8B|vbOqNN4urFe@|oMOejE!15p z(n1Bd-@ImT_Vy+hvY+<*`2EpmGr917zi)SMZ+CWfHd$N?X{nVF>}d5o?((D=Smkd; z{sJPXPY0EpcEyDK(2Y!Py+=#p;Za(D1rXq1ToW2a%8O7?neZQpF?FM zRJ39v#5ApZ9NKHe^m4Q$>~Up5_Fwo-q)O{RX$+Q2t8>EaQ;;W}Mn|nUXWy94dnIhS zRDGSO&+G^AxirUp@v-vzsIyj-v$Mi9&TFi&Dt{O9b0%yZb(_~dW8--^MOQ7ivrnrP z%G`F;#avrpmAxC;nWMpbcVxKuB6b_ywZx4bZ6^Nijg;|Jz8>T=?@04AE3BF{q^FkL z*{+g3iS3TGwBxH{dQl9Y8rz|a-YwZx9?%&fT1BGiV9#ZXE7ydr?LUvItT&ahQF0(+ z8+aWTHN-Q-wvSejvmQ_tPFABDo>A9UY*oZ_6v1hg`VO+La&RlO(O0X$*`}#t$qH1% zC$LK2kM#1~HbG3SDJK6=`#yIz-3PQuCAHH?k^V00qd-dGirv=FUUh zt|;$B8>ppswpZ}PFt-LjVO8!yV9)qxF$UHg2<_>!Ho~;ZoZTX?HVdC^B&{5(sBnrZC5p0+0MvL> zjsQZ<=e2Mg7NOPTY*b~cLjnKMRW*@R!+y>h=HJzPCPJ^i-CBnRwQC*Jv2_n4N-M?L zxr7x`E+4DqCxNPF2-WaO_6*nSX>NJ4i$>fl7_F7jLi}a=hh_SBJ>Q@zbquMqi-7W! zN*;m4YUvs}OXqXDh80caagm3i6W%W}G5@(S^k3!j_cbP>sa$d7sxERld(4CRtQNO1 zOsgfr(fj`Q&v)?TRaM7RH3#OgqDv|)UK|gGhRQK^V!U30R+__|na?Uo9ad#dBs1T$ z=9$6}4y%m7&hmVujoC0?aT~+6LP8uZBcHhPQ{nR)f0z0)^&`uoH*Ik8Fd#>Ql=C})Su zdRTLTrISk)H$pA1)?w}xZtPBob_a^WqD5DsyOkJ{EM~b9*JzEAT4~O@ImJ@}QW*MA zP+8XFv#6p*QIx$8!1MhRm=qQ*ucW1D)i^r?^ZPxdg;phuri6lGrHMPYV#Q!5`g=p= zg+%f38l$Cmb}xbNa9BTaRqnCm=K8NS3eMk9JFy`r7}hwYaau`z#XnDfpKm2dcbJ_| zHdW|&3QcE(m$xumoq;u`OKw0`EAX}MCbhO(CJewCxr)ecP>(EJKptH}#(&;2ED3aP{Ulbz%Bjx>t zGqkk-=JVtyu6n~W$<5i9KG07bNe-1`{AXzeINJ(TICI0)M)|4Os)*+)f*XX?m{EDK zVScdbOBdan#%!$&XNR&Xpe#c*Qb$*X%%Ko@oyB+TvY5Lm2Wleu~i8RDS;DD{n(y9dE-T`0B7gjRw$X@YIQZwN(ij7zeIK}A*FRhBsLji zkyeDWeUCSytis#$Jsc7VR56Pw#@|I5&z+NEOpTc8)mZYc%2C&0WHG9tF3R{MQ02T# zIhvs@S ztci`mnm}c(R+h`rTKV_g55DQudsxSNV7DRmb>3U%Oa1 zuC3%^_pBdk^z7BOM{8>?q-|PuXG2k}m~v5DEziM>PX<-bcIsh4%UXH9o;g?Q4y^!Z z`({6H-wLTR?j$2!z~;#x+k@xSkLh#xWO5+2OUv(U0eC~oCE#tQ&Y;TKO*x!Tq`td# zXjF=MOVu8&7-t*3H=r!W+Z1Oh^3GfpUzPGcrLYeWyL|hUM$tw>a-!SVt5xA}^p^h_ zjm(%T^FA_jS%sa1IUdL@y3@p1K5=zPXm4}Jm63_36NpL60GtYxsQO-t{rgiS)8(fw00j03zTE|`154Q2GhqOwZ9a&kC zq*TM_kVwQ5shu4anH`g!QDvc?M@OE~ zDok{==KlS$k-s9;`#H<|p)*_mUWR-vAyw9o)jLo0d9*e&teOwkKCh*Ac2enyCf|1&kyQm3sDR-x zw%)<`$k<`VCt7A_-$}lQ30h2*^HXxNw@o!ykLYhoP|w}_Oe?_ISF;K!-@9s9a{<}n zt71Nrao;bPQ*{Ml`Mp_TOb??)?Ojj%-X`Nv#C zuzs6n8dcesRF+Rv=I!N>kG&OBooID9JKglx$6*Fk8NViDx|dbtd;&&tyqNh;3`+S% ztL6XtvWibORp_@AT8*t%yND;&nRxD=VLtM?v)Kq#6KZ~^mFnzrw4Oq4S^6&@msb`2 zJwYRONn6YF{e#5HdKa!jaJ=R^s+?pIDo+Zz1Gr{6M zY2zoY0Ed0+YMujGLz>Z59Y0e?Nl`~y&m=Ubr8IugigDJRXbURKv9&|&4?Z-LsG5GI zrh=j-&zN6%leT;es5mCRs1@R@Psz{dVS7}S`8P7l0are~S>lXMjD$2UX{jA<5ova3 znPFA#%j7PoziV?CfpJAk{U6`88C7MzN@kAVtYcv72eI>K5a{n(dS}P{RusAJt(NtJ z8C+HI2UYORXTQi7l`zD(rX_c_cTM9Gp9rWDUMC?RL4PNK=D^!Owbafo^V#|lQ=MGO zxT=D`s31U8;P)CaXNB=}28FwgzqLY~ef+Gjas^neUbd+aZAnyB|4R4R#27pCTTh9R9)ZVI!GI4q49K97`L?K&W2E^XfnBKXrWaJ zw<&?q0Tk(baxQ*jKj#W!Ap0GyAZMc<(>Xo&lSq|!m-77GSmEg|xTn?Qtn1RxuCWbM zn=yXG46O3sCqEqo)+gBd!9L6U1FZ~a9ZFWHGIj1cO96iRC!N`?LltPsjlNjhKUD7#v2*LAN=oApm?Lng1k-7gCTA(msMX-?i^cCO#onkYc_xxqB)RSBNn#iglUB>;w0nN`PJ5zN z%f($joVu?-U#2tw$%tgc=34+|CYh z{M;PxnPkHgSH15-Wao6AEi>&&Y~&TM!dfYz;-96zi}nT<2ijcKa5{wzIaQfOC{tdW zNHB(l@mvG%6xF_=&ttioSuouiKi|-;QIycH| zwGDE#eK|A&HpvOdMj0UE4g_q!y*HN z#D8KM1#!$%Rjba~QC+Hm4KkQYRgF~aEIFjG-7U#M4v(oxj*m|=D2O&R9UVKHrG56^RznZwn1R?F_}%554~k%*{r)*&a`o%cFH43mmz z`5KD9NdM@@-$eouP35XbE>0)xoo1ffQ|oI99bPetiHjO#9;>8|snRweEyt9$4i$Om zEqa#31pE!P%+5L@R4loHsfOsO@dj4u8JA` zAj|SL{q2(N`BbSbDAhcc^*)zbjvwVJhd5O*T55$kJE*pw;Co8*A72&HN);jwtn5>j zb5tP*=omp-AiDQ6`OpBPtyY1v-evFRpluy~lc=KFQ4~k5`WJ(k&CF=871BcdUHY5pW4;k=Q>1ku zaaEtCk@jZXDONn$P25D-Q7dSGqk__0GU+B%OQ{pZ`aKC0*Q+DKj7X!iR@wi}NuVdX zDx(W!6cX=QAFUA+6_;pq)k<)-o3}#At;TA3hJg@RW$#9I`i^X~R+v+XiD3<5?lGgg zR)Di*V2dV8u(j>cRTVv`qPnQ!aR=?P>&xdXqo-Dzvn|K*p?j)?s@z_bODDbUS}Ws{ zT91l|GH^`;_ujN)^iDo<1UXl1kzg{S|4Px~~L zpepZkU7mMw~!I7 z<#l$9ry|J(pc=NYDs>F0IrG-fUHCU@ar>D& zFqE^SZem(*vEP@!F@|bYI6Fo0)8(Hkw5lPF8Y+uLVQu98K1uB8ttU?o(~5dd{Ok0; z39R_(eu(VJRGIOVSwbZ8879>u$}O%>idmLoE=+CB~e)+QJESq8YJ#WqE|wEb;cRVS|QFZSgBBQZK#Gl zu1Y?FVP7M)3SG|DS6b6O|Bva_8yUqLVRyuFE5q2u zrAhBIg5_|Y6s=HayCW4(E=tu%6`1r4>n5V70t) zRqnCm<`Mx1JY381Ogycc+N9Is!=5N^!4n_(aavtbj@Dqf$Ra<>RTG zojBVW697bsPXNnJ+-oj>FeYdvI@^hR!pQ}fR%lhjL~3AYs5!5e?Hzc2G^dg?CTW%Q zaI~<@f9$p`s>i2MRZXTUc{uI)dQ;QAdmb7wMXScyNvXdtH{ZZ2|5WnRyUQ1Epqh!* zn5Lz5)`{agJl`jx$~T>S^6W{@;vU%3{GWV;$_y=O3ujB-jG(pwF*UqBsLDH&yqtWi zPdGQe$QfYFEBwYRExEG|P(}0Ed1#?k3C~jkt6FxttIm6IGsb8!H;))gFk7p@+2LFo zJ@{5wm3upqzwToZA>-DS><=$Z6?b(=t2jQ!#_ckEOq;D)sB6riV>G6%$u` z&3QlM&iM_k24|-YDyFPLHPpGDPXblWo0P+~XU`@V8Wb!#!2(0WL*t{OBHcs8v%*4+ zx3pp$_H>zFv9gxOL|2t8rIK=@5?haIP?)$d6X_YIW1d`?PmM6%)=KIv{$cuCuPwAJ z%hpaam8x$U^|9jYmmcC1hKi|K#SI>!yM%*cx3OF+%-MDNG%iA<3a^S;K{52q*#*Ygbjb-_ zM3NYVMc=QnO{>b;1t@Q?hpfxnd`vHdnNStGonqO`>g$<_r-Q9|S9WOSb#}DSteAec zB%chbo}H>5pFTKwrzN9yJO?$#u76dJ6;sw@wXAzNZ5dQOyQ!zNc(lvWP4P!3ZRdrIy5O&q0(Z#uVeL@UMFQc=NVDXQW5 z=JZ5X1stUSP90Sry7<3&JNGdybz|{I>F=adb)u_yD&cVw780@aqb+fZZIp3BOX}>q zT7{DDS2fg89C20hlO(5yPOYq9^Ujtw=A{cUuTU5r=f)|m3}^dV71U=7@Si~ybee+r zqH=aND<3&;oYATabF^mu{b{VsswzH9#q{#1^BeP_gyuPvd3Vk^tv+YNRQ+@SgrN(fd)xCt3;4b{;C2EI~EY3AGtn74WGlKy(;!kF=+=NIr{_ z=XQLi70^N~u=IB!w%#W{K~?V0$z4bU)b?+(L(up_%j|4FqC&~Ht{V1^MwR?al5;X> zAMrapIYE4V7+-0ron5O>NX3z?t&__B)UA;{V-iO8 z5vO_yBaKU1e$jNWZ?OfIA97nejYO)p%hbjJzHOJtCLCx^tA9l+$JrN-ily&sy@6Hw ztEA`ZlKR3^gH*&dSUMez-?ajq?d<)1<7tsq1%FTh-B3O!ZJwbS$=0!S&*TVhFcdq& zYg$Ep9IYWMx?Cn!%Qg(ePcBvCb!x0G@;E!3qI*j8r5S%}l}0$K^xq#)dGe~N|DtNX zO+0JEbKOJkX8+boYvHIgKdaRiROS7Ly#D&-&DqM;jEy(668;bR<$V&Ua&A&iO%{VS zu)|*;O0exVjV=kn3F3L>x3mhK9T0od$W6`Lbe2_>eVeiw6D2;(;wjk)MpB^llNhP# znNabLR-&^r3M-H~h|k-!ezG#Ca_&+NA5*`x*NAJPabXcrp(A5r#j#4F_|dqhRp#tt zYDJgJ&T4VMrXI7FI+v>PJ~cA?nX`|nIp)E5pcNV}0;GR5`R_laW?EJALu%%`$!C`& zd&N8h->hB)M14a5yzcrJv&VvYi8Ff>gH%od85jbyiIXE)As>wBvD1>peRnJecpl?yl5?-oLV)` z#*J9vQZFA{a8*Svs$f4(uPcv9nNd~V z0^}_xB3gSvj`%ty$Xh?eS5;EysHB(#aa~+aPh3zd#o2zu3N4p{)p|@KRb3&fzXKJ|HLZBJx~x@HE6rJ# zzc-1j&D(U6Qf zYAmn$2%`3p#?x92&JJx=Oj(3#h<;x0U}2R&l~aOp_(jPhFMhK|;Uzc~;@G?l9Yx#)aKYXGtDFmE}S z%&4eU;%ql!em0#9TK1Du)mw>rSv|Ji8tcYWapAtQR+_U-#1_oln0&%JrWyFgSCSv+8!>FMZ;cQnb&SU9kw@zT)V7Bz>;p>hG%)v9#%VN&tr0#uDu!BrXcD5Jh8!@R!tT<1H#S>p*+(vz^$l;C_rCW5*h`XZXnUBvdN&fzSu0p+=2D}>%4%OG7yj~|y zzxl~+G}NkfcABZ8$wjIfT4+^5BTC>5%03TUYx{(ijkOw_eTAuTvIf=Qz94&SRYVht zUFti%I4a7=yGL<3+Iaj{^Vwo+@<->b(T>UJ8r!`pFR^*LoVQwL+a;^sr*dwQ03H zr(H6#%HM|keEHcXZV0hY#4jFUXe1eJwK|-Q7_!BbmDt*;bEt~iQ4zavpIri-Ub2HC zq(^(By;hC0UAT%TOHmDT=z%S`Dx(8s&|6|Zqw)4Chq@EvVv~%HS|!dt?rB^L*Q2Xa zI#CKcKmF2}*sSE!vW(7J8O}a)elDU|_iwAvs)jDqAP-T^{e)*1(XD;A)}gIJ+8AB6 z3Y;C5_?fmt3#{^YBR_qxQDP{oc>KAz9a-G)6&U3Ce{6hWa+3IrM@B^$-L+DBi+`2= zhub%TuR&Zwo6IiLLE7jjF3Rb#c4D-wP+=0bHSOu`?FqXre-+#KVl@#r!jU zv;zBzf1Unnv*OG0td{*UjlXQF&gZDJu*hWZ6O9y;;0_a)j|`))R#OW{HTmrfwSubD z{YcHxgf-|q*rFXXXQITYJ z)v$$CsUu0vXawul8h;t#ff1z@ z$~%I*oK2b?Gqy=VyuZ-;Y0T}z`Ysx&m6s@jrT-x@J8R_M*{8gaT{ZuE5$fHH;@uP$ z1=u?I+RyTq~8>Io`$VX_#X$UY6ysH(J;* zV?1T}Y~gfB28xHC856Yp|7iA5=lV%la#9S_)=krjbatw# zN0kdu|D~2nEz0SX=66#T_j-wEn7WM_T222qo3bamDq|*PR1!wU%PM_;l}0*M<0y zemaTl9g4B>^!6JsYRQ{BT107dBbqT)+LuVnNsk(V;O~x2bz9&ftqx~j%PO+mvQ*)EvPKa*0y(Dd6KA_UZy5?{rXlCA*L+}4~rNY zI&`GmUS83Pa@HemMU^F4t*+)g%vugr)2r0P?tbEj_fmK%Zb31V*(XDrvMaCZ4b#gkR2MylYd zj1`no*j#Czak#Bw#r`lQP;7Z&#!9UOXUCjk1MtL>MR=RG(5iq{6p&pMzz)_N4ZT`R z>Z~)vcNmEkP32ib9jM-(aLx%NQRb3oa zrJ~B3R6~u?&{C+9Hc%41@IJ?uo}0eJ6@UbBO@E_SjkD>Wtbno{tHq(KPk2?yCMw}z zHLXEwo?ZtvGx}z&Drd)n&d00yrc+gJp-R3D>_;&SQQ&fpSXS?8RXH2IoyL)jH?B&* zmGtalt?w`EhosTsz$d}jrWN39=VnEbE6ZwGKbXN)72BzT3D(m3EGCKv-tEu|ads@F zN0jyGzf>Q2kw%rYlajbTYCFvFGyR#kJ=NHy73OSTWQ!|nvbFu^QI+kcGP)C0FOuju zlCzH`i-ojDtHoKbwu&SRQ4L#ImHK^B=M<^sUfc6&-m9f_HtmO>Zviu&%C(PNY!hh> zauC-!js03~XSc!FBFcAcYlql}YKRP~ngdirSCh{ip>m4SgIW#Fy4YnLnLSlRmGc9& z1hh*SqK_?hNJ^+VIO&j<-Psp^T9+~Gp;Z}&DTDJYbvw5>BMCK6q>Uq5c4zNB)ji$b zh$`t(lIpuf?|2U5n3niI?H0XpRr=$kFUQ8`cgTV{zakT*F=)a#p%vro;Mg~`xgk2p zrb;}imXPnkeu6mX=^}>T7^k$N{_|;simVDaO#ys$ursiY-iwPGk`yXG8E3Q-oE@F3 zaB_*LhG*=a639#c@X?LtrXF8a9E}Xl_lxFR9_yxPlf-G!U~Hl)>oeO z1O3ws<2Nftgt97 zRj+}Vp+3p@Oe@CO8nR-^TCA4pk07$j|2g^DuiB6N#8?$(FZn`C{-64<%$O?em!#$V z%HI)mk~o-l_ehR6zS0VCHaOo3Dc`--vK^wU1ge^^sfN$5_msyxsp@7v1=sWR2jd&9 z9%sEn-k`D|Z_{56RnoVV#C|Q++Vk{S8Q*EeI6EY^!uj7cJi%2J-%~|lQH43igWiu` zF+AAHJoWxTE5X^0SshS-!H-T`_;tRiMYpA>_dLi3URifsF<=0 z)$p4@mGd*@G!W%@FCzD}kN@WiuXa^goS}+Y?8PVuH+vZ47p>C&KUbA~i%{?8SKbYs zO8Qwf2X&$0v0|v$MXg+C8<~nH7p!WiQ+6x3D&sfGV33UU4PyOZK0V};R)n)}a4U$c z!fIJR$k?ie%hbSj79viNdz#PU=$xDs79JPnX^DRqW?a!KadxDiEMhX_l{tFmu^Ci7 zSE+|DPX9;Ua?-)ywPKuoH>7jWZJ&1V4~j^2y1_d!u4%cQ9df5}xCm>Wr%3zbKdwkvt;fuq3dvc&t=x z8-9w58W9y|{H@jItf$EvPj0~8rWRfm@(+cuwtQyjm)(Ikv;v%ck*7I9zr9cLCRzRU z14N5{fLmJL|AT%25mvq7+oYC*>wE{p8VMsK5|YJTsCTsV&c2@1z+Ji2RU^n8#j8TA z67Et0-2sMztui)Y&rRb|dZW)AhOuRwkXlmnVGYl)qG zQmsJp{aY<7tje54y=VPcAgD)>k@a7tR*__8)li2RBCJZCO+-&l4$0y+BE;Fdk)2Ao zRuSB2Ky++UOmg^uZYix|6FNsldVdfdK}HVohap+SrPv{{(MC?uh;S#y#Kw;bG=G&t z47nAr?_0} z$gnVDsONi5#N;=f#c#|jdpV2(;!oWn`FN9|ZZV0VxIc*^jDq6#GehzurbN?2?+z7n z>51_Mg-DUb^CyLA}CiSLowPp zhKb94pWC|3w78)hR&n}inR7id?#D=bZvd9@J+(s$+_W}I9OXkX^$~H=iU&BO9~Hn@=m6V|69EZB0uqe`7xU+Y zQ@0R0&3T+RkymJ zUVvDi;{GLBP*_}m*viDdA|;?gK(LV<9S|Jlj*X5tOAE;-c4%?Qk!&;KA&f@6+o&i) z4>T$XD}`i{4=#x`DvMS~_Fgf`!@}Kxk>N%a*$xcu8QN1!OcG^O740Zjqs*eH45Fx7 zA=$+=fg&W2QK%+f8)#G)s%4p&5+0i{EGp8)vKnXv3SBIsu#Op$j2iq9l1Dv-&Mj|X zHfqYhtR)P|5o*0=)Rupom*>`vvaP;n+YAJ&SlEX=qrS*g}lf^3|9mG0j68@ndpG_5{&EZcd@lR{UaINLJ5gYqS&1=dy`a zuNHJjcKPWP+g*auo;djeYw!?|s2cn#Ffl$lB!~Ch(C8rkWT4SeSSh4{xje<(;z@yG zV5C?u5k@CM*k2I8q%Xzj%nLq5hC~*)d&Jud^O7^h0FfsB>tP!J^Xh(%)HNK3vR<5xC=Zm#l=HSTn}hI zgh%j%=u~xOfF~g%WP;3)1+qdmXe%ydy4pcbnzPeG|NGGr~nnA5)|c6ia}MH)u1@dr=SMSnotXB z!?REa>OwuJ4-J4v0J(TjkEI zxiznJ^2UhuJU(=EDMb0T#lG@DeP7#jpfkhF9QKcnw~MH{eZp3zkAMjDY2^ z0#?E*cn98vwXhC)LNC||n_x3+f%jl5Y=iBv19rkL*bRH&eb@{8U_Tsy^{@dB!Uu2! zj>0iG4kzFwoPyJE2F}7c_z<3DgR2AQXHMkCc!e8(=`~x@OCftJCa0l+fJ-81K;2}JMC)g4* zz>|;>GC^j@0*zS^O&~kX9FP-oL2k$cc_AO1-0Q>r~`GO9@K{h&=49yV`u_Rp&2xX z7Qp=oE^ZKTwWQe!f*=@LLmSA>63+qcX?B2)&OKv(Dn47G4EEW*{D zW)Daq)MyBy*&F)6bI>0K0Mnhjn3CKTN^>xTK{!M}Bt*dwh=v%51s4p3I2Z=;kN}A= z91L(n5+uV27zv|b42*?wFdinrM3@AVVG2xzX)qmTz)YA0&%>%!dW=0xX0V z;U!oEi(v`846nee@EW`hZ@`=I7A%FgVHqrk6|fRk!D?6o@4&mT7S_Rf*Z>=06KsYp z@E&Z1ZLl47z)si&yMZCvF2+&2_R`!3`{4i_g2QkGjsj0Obn(zZ*9n>@;S`*PGjJBp z!H4h>d<^H|0(=6W!e{U~d;wp=SMW7_1K+}T@ICwhKf+J&GyDR-!bSKEF2QBE0$1U8 z_yexNb@&thg1_M(xB)le7TktAa2M{ueRu#5;SoH+a>)QsLPp30nIQ{gg=~-=azJiY zKpx0VGY{m2e2|}yWC18hvk(-9B2bwZsz7xJgr|9-1Uv&Jp%er_X($6_p&XQl3Q!R$ zL1m}{RiPSGhd`(SHK7*NhL1@8G1R4559&h$Xb6oUE6XYyG^N=LnnMd{39TRqf}u6E zfws^N+CvBE2%Vrabb+qW4Z1@Q;K3O#o^;^~f!@#uo`b&75BkFZ7zl$P6b3^WghK>G zLKF;vXo!JWaKTWBgJBR436KcG!2mZTK{AYhkuVBUU^I+@u`mwC!vvTJlVCDTfvGSJ zro#-F3A5mND9xr<2IkV72lHV8yZ{T~MR*Ao!D3hfFT*SFDllBh#egE$8#Ld9w_qu} z4a;CTtbmoU3Rc4!IK~EY9M;lY2V5j~aRuA8k>(~~M3Re9Lauw9m)(bLys#a1z)q;n zp9I2OHqm*omlyWIemDRJ;R84Xhv5hug=26WPQXbx1*hQ*oP~4nA$$ZM!+E#>pTMW^ z8GH_3z?bk9d=1~gx9}Z&4-9E>G5Eyw6V0FD7x)z}!DYAtS79IvaS&Xic^wYY`~Xs5 zG~D2Yn{W$m!yUK__uxJ}fQRr1L|2g5>%o(d5i&t$$O2g*8)SzZkP~vrpNNtR^3u!) z`Jn(5ghEglia=2)2F2kicp6H;Gf)yrK>*Aq{2VAtvmBI%3Q!R$K~<;*yZGbXP=jVo zs0Fp*S*Qbbp&rzS2G9^1L1SnFO`#bKg*a#ltsn@3p*6IDw$KjRLkH*xouD&xfv(UE zx3B4c$dP5(04*Ehra6=OGhXF7U20* zd{_W4z(S}DRbUY;h9&SayaKPn9twXS-k|v=yah|)ZCD1&VFj#&Rj?Y?z&r3Rtc7*3 z9yY*6*aVwl3%mzgVH<3R9k3I2!EV?C@55f$2m9dw^knny1&3%Jh9htkj=^y_0Vm-U zoQBuUGnOkYpEDsG0qqueo@J_O#JLx4y#}_tbupnL-+{R!Ft#L z8(|Y{hAr?OybpU}JM4g`#K0TZ)9^9P^N@#TUf4==8|;JqZ~zX%b@&qw!x1RMKPwAQ zKn6I;3#Z^ToPo1&4&H^eP=r4&3Oi};f(!5od=6j0m+%#Q4d1}G@Ev>)KfsUh6Z{On zz^`x-euGPJ8Lq%p_#LuPMppQM<{|hC{)QE>5^lmRI10z$54Z-m;SSt~2XGhe!9#ci zB}r5Yo`j5$2{J=A$PPImC+y~*?SXtW^Ftvh499ul1pEUxpcpR{he}WxKIMhapajil zpa2wv04NRRpgdH7ickfrLN3S+)u1{ALJg=1wV*aUD@b-V5yPIw83W~J-c0=LY7Q-+ zCA5Md2!__s2HHY9Xb%hFMd$>bp$l|{ZqOZiKu_oeAutuD0fVqyeW4%phXF7U20w%02^TwY=$lH9&Cke zupM^5PS^#zVGm3c<7-`$U?0u>Z~zX%2XF`u!x1|=rLhleyD!4qu286Xp6hAfa34F1FofAP=$hFrXm8}dM2 z$OrkM02G8mP#B6pQ78t*;VF0;x)HQHl%!b-0-!XMfwE8z%0mUH2$i5RRDr5c4XQ&R z)PR~$3u?o&PzUNlJ*W>2pdmDZ#?Sea}Pv`|9&>Q*ycf7dzLO0O?VGs@x5D8H*1fn4Z zV!;JNAr6MYU7g>|qVHo!*M1e;+Cya!uh8*GOiuoHH{ZrB6w!(P}2`{4i_gb&~l z9EKxs6pq1hI02Jk3Y>&fa2n3QSvUtD!bk8ioCg;h@KE@a=4bFZd;wp=SMW7_1K+}T z@ICwhKf+J&GyDR-!bSKEF2QBE0$1U8_yexNb@&thg1_M(xB<^o1eqZVWQA;y9dbZU$OX9}59Eb>kRJ*_K_~=;p$HU(Vo)5O zf~TPbJOd@66a+wNh~eWB3*~5*hYC;;DnVta0#%_JREI#Q0X3l()P`rF4%CHuP#+pV zLudqzp$RmFX3!j3KuZ`86CfB`LmOxd?Vvq$fR4}!Izt!e3ME)6&p;2FJ)swbKyT;+ z+<)Wh3;m!!41j?!2tr{ngh4n&KqN%L5Qv5th=mIz{{-S_4uj8G>|a14&Ea5x88SIWQOI!F*T%FTg^0 z5nh5tuo#xW%kT=k3a`QI@CLjIZ^2S{8iW2dv?RcVIWoJ@7v4g#&O9K7d2efD!F_lD58)BCAV5oal0VJ}9cXrhEHtx1HpmV+ zASdL4+>i(I!pCg3=b-@2f=~zwLlGzn#h^Gm1y4f>cm_&BDF}elPzK6EIVcYmpdwU) z%1{NWLN%xkflvc#LM^Bb&q5uj3-zErG=PS%g~jw9G@;oPnn80o%nL{0H@F1BywDo% z!vk2u3-7=Nnj4`5bc9aO8M;7M=my=P2lRwq5CXlS4{+0rt1t9}{xARr!XOBRCt0Bx zA)ICeL_!qYXO%sGAvB|*4CR&u7tNs%2g4v95+D(Vg8^;UV)crE`r6d1YU+$ z;8l1HvWUArTv_2wns32UcpH|%a##T?VHK=~cVR88gY~cpHp3Qp54OTK*bX~jC+vdV zum|3Uy|54V!vQ!5AHX3v3`gK79E0O<0#3sjI1A_CL-+_jhVyU%K7mi+Gl*xiNPsVC zeg!jW&Vui0{s2G1Pw+GR0>8pVxXmBmfy*?nz#ni8^0Bb-_PbP=IDZL9(lm zaGWt%c3~Cc*Tvx}cpBP4dngH|AOK2387K?opgdH7ickqELlvkBflvc#LM^Bb&q5uj z3-zErG=PTC2pYqW@DntH=J2JM?!xsIw4m7%f}u5(fM=isbc9aO8M;7M=my=P2lRwq z5CXlS4{%eJt1t9}{t#C|FboFK428iE2H_9^ZJ;fj4iKDy7@D!*f}s%33lR`Ua~Q-! z0wlt4Fu)BJc>5J$1kI7qfo4Y-PjdoHgh?Fc0R#0(b!y!i%tvx3C|sQpWG_GB3OWufl8aI=lgI!dtKu-i8Wg1Qj8lm}d`|NV_!7Q?ui+c`7QTb;;Rk2}P2p$w1%8E# zu#=#>;4;lCa20-s>+mQ112^DZ{&+3irg;bM!acYT58xp@f+twD8Q@9C2$>)=EM{>o zfowFh!xlay@4*IM*a+KU2jt^V@2yVdwUU&fvLb)MZB|&yr%nM84Wq1W%h1cM9cmv*qx8RBLf()>X=5jbr z&=atR<~wj1uE0824;x@3Y=X_O1>S?LunpF+qSnK9nmb@8?1JY@31-9lH21<5-t>EL zfaXE?01m-AR@r(uO7j>ThZ8WJ7iPdonx|k0;iKU!&2zAh=6d*;=6SdPpTMW^8GH_3 zz?bk9d=1|~FIGwjd{6TS_z`}BpWzqy6)r+O7HoZZm*!fy3ctg3_!GABC)?mJnt#JT za070_Ew~ML;4a*Q`|toB!XtQsMUny9P;Ogzl4eHeN3%au&L)gcgSKuxFxwc%M9%v%kEdNk`p184}1pfNOorqB$ULknmLtsn@3 zp*6fq(6x|*W=R3K5CgH`f}xPen;8!AG!x|SU^p1yh9pRa5ik-euz^&B zu{6iQc$fh3ypRBsX-T z@ILH?eXt)6z(M!`4#8nK0*fhQ2@GK49|$LT;S`*PGY|l!;Y0WcK8Evf0X~6G;WPLg zzJMPI`V)Lj^BedUzJu3E{sw$c^9T45euAIj7nsA!n+w0uyaX@tF<1nbX4(z$18qf0hBBgp5##(h5U1n%N-- z#4P~G#l!NlHj0LeAD$%SA zRiG+VgX++P!kfZkR@4&sgMW4nYV#-0LLI0J^`Jg9fQHb7)z}o8&}<6LpgH`^3%@`M znk}If1j(ORut5+^vo*|PG0lf9{ImC<121%hPS6>;Kv(Dn-Ju8cgl`G(9rUKz2cCnz zkcm~B83xcC2!kLL>hMBc2&WkVkq`w#AR1yI7F;kC;$RrWLxTJrp@xA$(+x?G3?pD9 zjDi#x4P#&|jDzto0VcvEm<&@Ol7$!r(`n9tlI);L!Sgg{!yK3k^I$$KfEQpPya+GB zB3KMd;AMCPUWM1-b$A2bgtwp`n^b*RL31Ung4M7F-hnnOlD4pp=6cuw8(|Y{hAr?O zY=v#G9d^J@*af>`4^&`5RD}0w?uC7@9}d7l2n|~EM)_J8-Aww3k2|iC=I{S zyabow3IwvcYrs{Szr!DJ4X(qV@E80I|G*7c!CPGkcWK^(`|toB!XtQsw~zszgp800 zGD8-~3fUk#6$J5Dy8E2*aTfp&G-dY)GHMC|*c`-Gtf$V`+|q z@h}0Zk+M2Wra1+s!Zer(v!E40gJ2HLxiAmr!vc5#7Q%~godx?RET*{xUWQlTRd@|v zhd1C&cngx);F4h(&E>EHRzg2s=nwx8{s!Env|F%_KUoh3A7VFbpt%t?!De`uMY0wS z^UsdJZ*U2A^Cx@Yeb@{8U_TsygYW?yf}?N@R*-TfoTPaQPQw{E3+LcN_y|6R^Kbz^ zfluKxSj8J$4WHBe0=|T=;A{8>zJ>4Ld-wr1@dh`;&oqC5U*RIuWFgjq%QUaRRrnqL zfNO9a{)E5aZ}C=0F$(p)eT2AQGZr2t-2{cCTF_hGs0d zU?}{?2jUVuB>W@D!V6g;5r%^SZaB+gKL;adj)YN=0;6FJJOLSCJWPOzFbO8Z6qpLr zU^>iznJ^3H!F>3T&Eg|COY!}A1~4V!3ghAr?Olw=W?f;T z@GSwpgMBpj!vQ!5AHX3v3`gK79E0O<0tyhmAe^Lm3Qofrc#6&9X;?t>1^5s?f{)=m zT!2sDbNB+jgscXa3|D_!Ta~Z*U2k@z0t=0F;J5 zc;OmkVg+P|QIG=HdErm^3;u?G;0D};TW}lhz+Jcp_u&D&OsH4jNfvuX_>vvKSCENj zX2=3rAqV7yT#y^`KwiiP`JoULh9XcDia~LB3Z8}%@C=lMQm~Y_|2CANSr(R2?s6!` z;w%moc%dRxg33?@s=`!Oz%*Dvb0yS-S`bM18c>I3U8o23p#e06n*2#E_=8RA8Z_gD z=FkFKLMsS@U}z0(pe?k6_Ar2g20{m#9iak2E5a(?;A-f`3*Dgy^n_jz0==ORJO_QD zAM}R-Fc1boC=7-$2!{xWgeYjl8*B_QG-JU9Lm>`^K|CZtA`Axu+%TG5hKoo!cm&X z;5eLslW+=7!x=aW=io#52tJ1MZ~;DnO6=Av!>2SqgU{g$_!7Q?ui+bbpUrzOd{6TS z_z`}B?W~F&@GH%W@Ecr$nk<}JaGB;6xC*~RZx&7;_=Dy(c!|;$!Cy50hBY+bftxgM z!ELw$y(ldN?$dk#58)9!LHG>tBxHn4kQuT-R>%g~AqV7yT#y^`KwiiP`Jn(5ghEgl zia=2)2E`$goktWjVudz_lDtp~u2T5#P=;n%C&b^n$TsT1dN2+Y}9vPG|e$E7RJGNm;e)D5=@3E zFcqf3Oqd1F!)%xXbK!N~>KkCtbi+b;5nh5tki_ma8D6IO3cL!hK`@J{HM~jlEm#K2 zVFj#&Rj?Y?z&r3RtcAbWfd7UKG&jN~*bH@8Wp!aI&26w9cEC>91w0nr)fe8Uxfi}? z5&r-OXdZ+Q;1C>!BXAUs!ErbN^$1lTPSZRCtN4Jeh7W0e1Zyb#9k@XA6Zja;!>8~W zd=6j0m+%#Q4d1}G@Ev>)Kfqano`auh{sO!=LaM z{0;xW4Y&!n;5OWWaEO2cY=#BlA&eU@5!}D_|w8g4M7F-ht_)oB``-u7?e<5q{)_pP(9>Xm!}h3%g)D?10g{ zFa{3OJOb~-Uf2iw;Q$kRJ*_K_~=;p$HU(ER>NIo}&3QBocHuG=PQ>zze0J z43vd(P#!8kMW_Uop$b%miLAy+uoT{gn!Hd8vhjh<4k!6?I0X%Op&>Ma#?S!BXAr}z)3g-r{N5og>&%X z|Kre}!o)}x0F1`AwXtp6c6MXiwr$(CZQHhOn>XjaoNxZAp6c#u3=*8fd0fCnT*75s z!Bt$tb=<&B+`?_#!Cl34 zcl^Ll{K9YiLCO?=NrgZNj35Y#Uw5EJb^1|5)DWt^6hToGLvfTqNt8lqltEdPLwQs{MN~p%RKdUa4^>eO)lmaAQ46(E z2X#>o_0a$g(Fl#v1WnNl&Cvoa(F(2625r#}?a=`p(FvW=1zph%-O&R*(F?uN2Yt~G z{V@OoF$jY(1Vb?l!!ZIQF$$wG20K&#Wf#WEaTt#Yn21T3j47CkX_$@~n2A}KjX9W$ zd6C)E1d-(w$@d=;t1$Avw58vev{KPN(#vcSo`ImqQgun=bpa_QG z2!W6Yh0q9tusDiih=7PVjuVK2sECH>h=G`hh1iILe-Ib(5FZJU5Q&f&NstuDkQ^zH z5~+|HX^>EXoyB=j3#J`W@wHUXo*&6 zjW%eDc4&_d=!j0}j4tSkZs?94=!ss~?Ay*3^p*Y49|JHDgD@CFFciZu93wCiqc9p{ zFc#x59uqJTlQ0=mFcs4<9WyW!voITTFc z#}E9(FZ{+Iv~&us5WuY$5P=XFK@b$d5F8;85}^s6;u6v$12Q5LG9wGJA{(+J2XZ18 zaw8A&A|Ga3#5pJ^3!yNIpeTx=I7*--N})8$pe)LvJSyNe?w~TN;9vZQs;GwQsDYZO zh1#ftx~PZxXn=-jgvMxsrf7!dXn~e!h1O_;wrGcpzG-GcN7)IT(FI-64c*ZLJ<$uj z(Fc9e5B)I!12G7LF$7QX48t)3BQXl2F$QBX4&yNa6EO)>F%8o(12ZuTvoQzH@dER) z01L4Qi?IYtu?)+x0xPi!tFZ=au@3980UNOiy*-kBuvKoucI?1T?80vB!Fs>2ZNPqc z00(ghhj9c)aSX?C0w-|_r*Q^R5EbWf0cnvAmvIGGaShjT12=IC6;TOyaS!+L01xp9 zkMRUUG3@^zd4z^xuAGOLc!k$^gSU8x_xOO1_=L~+g0J|7@A!eA_=Vs2g8+6J5P=XF zK@b$d5F8;85}^u0A|28r12Q5LG9wGJA{(+J2XZ18aw8A&A|FoT6bhmc3Zn>$q8N&! z1WKY5N}~+Qq8!Sj0xF^sDx(Vi#eb-ZYN(DH7>pr!>$UU_wPhWAmETZbHb6r(LSr;R zQ#3cO{6TQ$Ieb5*E&>sUZ5QA{qj?UmD zPGPu#5g3V4xN6`U#>#ORj|sSr8<>bmxQSbsifNdR8JLM#$nS9}fZOs8=3@aCVi6W& z36^3RmSY80VihKvY6{lMby$xL*oaNoj4jxTZP<<-IP4{O1iR%P?8QFp#{nF~AsogL z9K|sl#|h*|0i4DeoW(hu#|2!(C0xc8T*WnPcbo0NWH|+MF%Nff5BKo^5Ag_(@dQut z4A1f6FP)mFDdNw__5c58OZk`?)kP(@X8Cj4O*^nJMkQ2F(8>LG8r8M%%{3w8e zD1^c&f}$vf;wXWVD237}gR&@x@+emHFU3(wRz?;4i~mp+HBb|^P#bkn7Y)!5jnEiP z&=k$k94*iit9_Wc)=#4}+ zNsK)9hGPUqViZPW48~#{#$y5|ViG1}8m40wW@8TKVjkvW z0T!Z~C8>@jaw(Q!IaXjLR$(=&S(55lC)Z;GHewStV+*!o8@6Kyc48NHV-NOXANJz_ z4&o3F;|Px87>?rvPT~|!;|$K?9M0ncF5(g{qk)rdh->mXW;m^xxFK)i7H;DX?xK+| zYm5i-As*o|p5Q5-;W-+)1sda(e2q7Fi+6aB5BP{r_>3?3iY9j16yM}`{J>BA!f*UR z0DB9FKxl^M2#R0`jt~fmPza4Mi0y%hgI2ONA|nbq80d)TG6rHI7Gfg~{y|*CLwqDa zLL@?BBtcRnLvo}*N~A(+q(NGwLwaODMr1-}WI`Ri6*is0wV}|nZ7q7%1HnJ9C{-U@}dJeq7yo!3%a5kx}yhr zq7B-j5Bj1X`eOhFVh{#n2!>)9hGPUqViZPW4923LCFze_7UDK07?_Ajn2afyifNdR z8JLM#n2kA@i+Pxj1z3nhSd1lDie*@i6?rvPT~|!;|$JXQ1QPE#szs1mv9+Za1|r$awKlZ zo4AGB80SVBk9+by9^fI?xIAm|NIu3BJjEzGAB`9CCEnpZCfMafe3GB>1z+(E-|+)K z@e9B42LT*aKmJ2jh>bY-2XPS(@sR)tkqC*A1W7T&q%)C1rbH^FMjE6=I;2M?WJVTbMK)x|3>RP~ za>?AtgS^Ox{3w8eD1^c&f}$vf;wXjEnB~IHMmbp?UA&gMqLQqP|4BSrfHT z8+A|@^-v!T&=8H#7){U=&Cnbz&=RfC8cQ77QnZup(E%Ni&pnhMU1V2uLwEE*PqeT} zOZ1cdF#rQG2!k;MLop1)F#;no3ZpRwV-eM)(QpTMF~Pt@Ou}SL!*t|vGI=pe&c+b?8YAKMLvg- zAN%Bf9Kb;w!eJc2Q5?f@oWMz(!fBkrS)9XpT);(K!ev~+Rb0b$+`vuT!fo8aUEITc zJitS2b5XYAk$j9Nc#3Cuju&`|S9py#c#C&GfCz-Z2!fyphTsT+kO+m)2!pT)hwzAih=_#9h=S;dftZMe*ocFF5Et8KuMHAS){UYYLt`ZQ2`ZE36)U=|KdMXMKx4M4b;RdQ@utlSsQgw z7xhpd>1>i74P-+!LSr;RQ#35_#3W3{6imf5Oh*n+MNZ6;voQyA zF%R>x01L4MOR)^gu>vcx3ahaOYq1XNu>l*g37fG6Td@N>u?xGg2Yay(`*8pVaS4}k z2#1jaIdKffaRMiC3a9bNWqgcwvOO|bh>W-*ui_f6;|6Zxi7$JKJMu2>;XWSVAs*o| zp5Q5-;W=L5C0^k*-rz0X;XOXMZ9n3Z{ERR7iXR4k;+y>b|Igtke&IL%Ab?{Ih(HL8 zAozl>2#yd4iBJfQFbIoq2#*Meh)9U(Fk&IPjDgsQgMSbg@em&gkPwNG7)g*6DUcHX zxzVd4jZBMGcC;Ed5<&i;VL?&cL7Gy;>WJeC<#18C49^^$n@o136&At59J~7pR9^Srds^}p9E!1)Ix34L0!~C zeO$5eRougU%)m@Evq^KbKufejYqUXIJadrG(N4BU2XsUybVd~q&cEm;yQ2qsq8ECj z5Bg%93pySHE;vCMSjZNAjyhV(FD+aFO8m^<7 z8>u>O$=kStySRt@cz}mEW74y@h1+;$;5lC4C0^k*-rz0X;XOX!BR=6Xf+85c;X8id zCw}2K{vd#L4v0Vqj35Y#U~}Mw%NTfN zVPE4P85i*o9|@2UiI5mckQB*~94U|zQ{2E)kw&J)J={lRJCA}4G9xk}GqNBnvLQQi zASZGmH{Rhr3ZNhgp)iV|D2kyta#_0EC?m@vtdkCh3bG<9p)yiA$keDJ|HU@9%63$f z)zQJN*Aca3ZRD_{oTw-3V}T`Eh$gZrnxQ#bpe0(NHQJyp+MzwV*?D(#lAX~7UH?Cd z?&yJ@=!M?sgTCm8{uqFP7=*zXf}t3O;TVCD7=_WO<^-!_j2w$`7>@~V2 zo0#H;n~G9yhSGRo;2|F2F`nQlF5n_w;3evrpg!Knw>X2d_+ZkH_#{8$3%=qTz9Xh3 zj)hzr3$h{`vZIbk z>!J}FBaeZ+$cOwWfPyH5!YG2GD2C$LV1kV}hT}Mg^C)MN@~D7{sD#R>f`9QJs^X0Y z;w@^(ny7`^f9cfx<==k-@72D+|Nrs(wSN(*7khV#(NugMSbg z@sJ!TkPwNG6v+@D36K)0kQ!-_7U_^48ITc~kQrH!71@v-Igk^%kQ;fB7x|DM1yB%$ zP#8r}6va>+B~TKjP#R@W9u-g#mCzb(@Gt&DRa8TD)Id$tLJ$N+UDQK;G(bZ%LSr;R zQ#3PAsC8b z*oaLSju9A%Q5cOe7>jWjj|rHFNtlc&n2Kqbjv1JVS?GvPn2kA@i+Pxj1z3nhSd1lD zie*@i6Ug8yA z;|<>89p2*uKH?KT;|spx8@}TQe&QE?;}23h@H7a3fCz-Z2!fyphTsT+kceS|mcFP2#c`Z%oj4jxTZP<<-*oj@(jXl_p12~97IE*7WievbSZ#aoln2s4ZjWallb2yI+xQI)* zj4QZ~8@P#ExQ#owi+i|_2Y84_c#J1_if4F^7kG(Rc#SuBi+6aB5BP{r_>3<&juTjp z73hv0_=#WmjXwzBLIp%11V#`9MKAVknLhD2Y-ijWQ^Uawv}qsEA5`>C}Ac-xpV}_Kp7k%9`#? zHUlfM3bQc>JFyG%u>cFP2#c`vzO3#+jPYq1XNu>l*g37fG6Td@t>u>*54 z4@o1*}*ZKR) zRIm1p|9=BaDEs%*6Vbr$Sq;$$jnM>6(G1Noq0C<#6_m`*WC;MXn24WBfV+e*~7=~j6Mq(63V+_V(9L8e;CSsb?pN=VV z>i<87>6n3;n1$JxgSnW8`B;F3ScJt`f~8o7*!_Y zy>Uz4#vR16wJj5eB#w<72Y&?_C@d7XL3a|hFIXB2lypeBlsr+9q!*QI# zX`I1XoWprsz(ribWn95k+`vuT!fo8aUEITcJitSIaoxV+k$jA>G8~@C=QtB=9gu{r5Scr`{_y=(j5Al%z36ThikpxMR49SrKDUk}Pkp^jz z4(X8r8IcK@kp)?i4cU4n1C{X~s-haIqXufC7HXpo>Y^U%V~eS_qLFNjCTNOgXpRCYWF%qI;rZV1a>!*nyo` zgvD5brC5gLSb>#Th1FPtwOEJs*no}Lgw5E3typB|i&0D#$1d!~9_+AV!+Y%VdfkmbGJuZ)A`k*22!bLQf+GY% zA`}9;D1mUr4SW^h4MadhL_%alK~zLTbi_bR#6oPu!9R$Lc!-Y#NQgv8j3h{kWJrz_ zNQqQPja)8hZlsgxkpUTz37L@vS& z%Z_7_T#O}Hie*@i6hse;%hw_^u(;y(jbu}AL3KJ3Q< z9K<0U#t|IFF&xJUoWvQN#S4?Z#5=slCw#^gn_R^;T*nRE#4X%LB}-QsOWa6H@xZ`C zJi=pyG-)XOXXC1PVc;cR;WggiE#BchKHwuh;WO5lYAwFW@A!eA_=VpH=tUL?fe{2j z5e&f*0wEC!p%DhP9As^Tmk|&Vkq{YC5Eao79Wf9Su@D<^@DJi59^xYb5+V^2BN>t- z1yUjvQX>u0A|28r6EY(UvLYL@BL{LK7jh#H@**GdqYw(C2#TT@ilYQdq7+J_h$SwH zGO{enp*$*}A}XOWs^DMzhpMQC>ZpO5sD;|7gSx1P`e=ZLXoSXSf~IJO=4j{QwMQ%2 z8g0<_|D$M+4(NzZ=!`Dtif-tR9_Wc)=#4(;i+<>j0T_ru7>pqpiV+xzQ5cOe7>jWj zj|rHFNtlc&n2K#qYddDhnYbdaVvd}Pd60B4aZO&wHk)k6EqNQ~yvWYuj=YO|xQ_>Th(~yg1}12TXYx7f$@+LDU*iql zq5ulw13uytKI03%;v2r>2Y%uge&Y`UIMRR!gun=b5pIT&2rfe)G{RttfvE^9!y!B( zATpvLDxx7eVjw1BAvWTml7+2|crrc`AR)%s(O4vrNzn&=kpd}^3aOC>X^{@;kpUTz z37K)t5?@C)nH@Qh6IJ|N{4e^+{>X>?D1d?}gu*C-q9}&qD1nkFh0-X4vM7i0sDO&7 zgvzLbe=)@A55<47DypG6YM>@+p*HHEF6yB^8lWK>p)r!U50avpY>pOaiB@Qhc4&_d z=!j0}j4tSkZs?94=!stFjbuoUJjjbDeo%UfA#x~&VK_!$Bt~I0#$YVQVLT>aA|fIZ zreG?jVLE1DCT3wa=3p)sU?CP^F?w0{-dHA=V+B@X6;@*n)?yvjV*@r~6E*C(2X}D~_mRuPlp9avQ#`|Syuxd=L0i1Tdvx(-UGYhN#ut3WH+;t>2YDI4 z{1?yUb2M-Y4N=2DO@wv& z;jl;UMIF>dJ=8}7G(;mbMiVqeGc-pFv_u=U{r~4o-x3{UM|47GbU{~iLwB6QX}qu` zFVRQ#ML+b%01U(+48{pJ^+^nq!x7X3!7xgWMk}<&IE=>)+{7eI#yv}SAJgP?%)m^{ z!fedJT+G9KEWko6!eT7JQk*jBX{?Ydu?nlP25S)y@e$g_VQ@#@MIxt_7?1E6I}GeZ zWD61H|Eu8w497kL`*8pVaR`TT1V@n%`O(eT*fAB#x-0=E3c8( z7-Xu!nCEckG{8xo0|NpNFegA&kydU~w00v?Z24e_@Vi<;F z1V&;M#$p`CV*(~(5~gDYW?~j*V-DtG9_C{K7Ge<=V+odG8J1%OR$>)aV-40~9oAz5 zHewStV+*!o8@6Kyc48NHV-NOXAO21Mm;Z239>QT9!BHH;ah$+OoWg0GK@1bb#CdrE z7jX%faRpa#4cBo4H*pKMaR+yC5BKo^5Ag_(@dQut4A1cbIWznv7hcL&c#SuBi+6aB z5BP{r_>3?3if{OiANYx1_>DgZ;G_d0kX;5w5E&G~5F8;85}^6(wexd`C1WEF{y|*CLwqDaLL@?BBtc4~LUN=)QY1raq(NGwLwaODMr1-} zWIYy&_p*|X*F`A$$nxQ3Hp*7l|E!v?n zs-Pn}p)xVVK??5shcJl_R4+Oj{`V}LpY2hIFAcBjuSYEQ#g$?IE!;QietElOSp_H zxQc7IjvKg%TeyuoxQlzZj|X^&M|g}Uc#3CuiC1`yH+YM8D2yWbh)?*8FZhaY_>Ld= ziC_4QKL}vy0wRzMj36>7BFKmcAwwb*LL&^qA{@da0wN+3BBP-R8X=mDju?oEScr`{ z_y=(j5Al%zQ$6C-kXR5%~$kqMcR1zC{|*^vX2?Q+Ur zIyKMzw|lj3`u`tXiW)11{3w9xsDZ*Lg4Sq*;wXXs7=Y3!gR&@x@~D7{sD#R>f`9QJ zs-hYSq7X`=6l$UtYNHP7q8{p_0UDwaj^Y>^qX`b<2%4h>TA~%2q8U!&6gr|4)?)*@ zq8qxS2YR9xdZQ2eq90~r76xJv24e_@Vi<;F1V&;M&f*-#VjMc73-Tf#CSwYwVj7O) z1SVn-UwqhHu;u^MN2X@a=+lqz7*FsN&+r^C@Di`^8gK9x@9-WU@DZQz72oh3KkyU3@Ed;+ zAmd*GA`k*22!bLQf+GY%A{0U+48kHD!XpAAA`&7a3Zfz!q9X=kA{JsJ4*o%0#6x@} zKtd!!VkALQB*W57e_4izr3$h{`vLgp_X8ubqb(I%BpQkFt#ltEdPLwQs{MN~p%RKdUa4^>eO)lmaAQ46(E2X#>o z_0a$g(Fl#v1WnNl&Cvoa(F(2625r#}?a=`p(FvW=1zph%-O&R*(F?uN2Yt~G{V@Oo zF$jY(1Vb?l!!ZIQF$$wG24gV}S#$p-8z#z0n2afyifNdR8JLM#n2kA@i+Pxj1z3nh zSd1lDie*@i6h=G`hh1iILe-Ib(5FZJU5Q&f&NstuD5GKc8!Xl+ih15uc zv`B~a$bgK5h1|%4yvT?AD1d?}gu*C-q9}&qD1nkFh0-X4vM7hF zdH#|O3~(fsq)6(HMiV z7>DtgfQgud$(Vwvn1<~bBR$(>P;AO7A zyuy090UNOio3RC3u?^d?13R$`mA$H}V6WVV{WySwIE2GEf}=Qw<2ZqnIEB+VgR?k? z^SFSExP;5Nf~&ZO>$riNxP`sG(eJ}uc@OvT0FUtmPw@=T@d7XL3a{}7Z}ATA@c|$4 z37_!=U-1p!@dH2c3%~IP0UTOD1VUg0K~RK1NQ6RYgh5z@LwH0$L_|VlL_t(ULv+MI zOvFNL#KAv!oA)p85ML%hTbH&S63Zl*Xp>1uE>j>SQXw_cAT81%Ju)C8G9fdvAS<#V zJ8~eW8#oto%RHE$|1S%WSLQ>0n-oB22iXOM4HQ996hm>8KuMHBX_P@(ltXz`Kyj0n zz;$^8|KdMXMKx4M4b(&})J7fDMLpC<12jYMDhF~a$VK_#hf4;vAz(_d?qcH|!F%IJ~ z0TVF^lQ9KTF%8o(12ZuTvoQyAF%R>x01L4Qi?IYtu?)+x0xPi!FYyX%u@3980UNOi zo3RC3u?^d?13R$`yRiqiJ2usnjJIELdmfk+lHGS13#IFAdsh)cMP zE4YelsEjJ;n)NT;a9iHNUEITcJitRd!eczaQ#`|SyufO#!AE?;TfD=2e86kG!DoEI zSA4^F{J>BA!f*URfGmFrh(HL8AP9jSD ziCBn@IQR!~5fAZ^011%@iID_JkqpU^0x6LSsgVY0kq+sR0U41AnUMuqkqz0A18Lnp z>5yCIL0;rTeiT4K6hbU7!PqD&i=jA5pd?D6G|HeX%Aq_epdu<^y{R_fU-=)Zq8h5B z25O=fYNHP7q8?6~;1n9lMhN0H7ZgopGlY}j|Ns7zt^g&2~;|ZSP8P40}0$$2jc#SuBi+6aB5BP{r_>3<& z=}#c1@Lm4EPyE7f{6PS(@PG(}zzBk%$Zt6dAcPEwPza4M2#atCkD)dmhDb6pq97`w zAv$6pCSoBr;@}^|MLfhu0whEtBt{Y>MKUBu3Zz6Tq(&N~MLM*!B(0E9W;O1yKlvQ3OR%45_^y(x9X)h0-X4vM7i0sPO-fY+M1AWflDE z(fAKlWi?bs4b(&})J7d7^^GqX>dJbkj|OOnMre#CXo_ZNjuvQ%R(R;7AEB*mhxX`z zj_8EW=z{L(fu87v-spqA=!eh#F#QDsva@jK>5_#3a0S z;BPQhPQ!G}z)8z=3bW-L%*8y+#{w+GA}q!dEX6XsHT^rRl&i2BYp@pUupS$*5u30X zTd)<|upK+F6T7e*d$1S#upb9-5QlIWM{pF!a2zLa5~u$Ekz48%PU8&D8@ParxP;5N zf~&ZO>$riJzTv*YZFvWGaS!+L01xp9kMRUg@eI%L0x$6juki+N@ec3t0Uz-RpYa7> z@eTL=688W<6(G1Pe0xi)Bt3Zbj) zhVJNrp6G?%=!3rKhyECVff$6r7=ob~hT#~2kr;*17=y7Ghw+$ziI{}Rn1ZR8hUu7r znV5yyn1i{Phxu55g;<2eSc0WkhUHj+l~{$xV zVK??*FZN+S4xqc&R}UPPM{pF!a2zL4-_9H0v^<0AzN`k$%5&%|`{AOzgv+>stGI^i zxPhCvh1MwXo99_hURF2mS~06XoI$BhxX`zj_8EW=z^~3hVJNrp6G?%=!3rKhyECV zff$6r7=ob~hT#~2g&xU87%4{~y~W9Zv2q;7V*-l%wW>d`%MOcg_Sc+v>julvmRalKRSc`R7j}6#}P1uYr*otk~jvd&EUD%C1*o%GG zj{`V}LpY2hIErI9juSYEQ#g$?IE!;Qj|;enOSp_HxQc7IjvKg%TeyuoxQlzZj|X^& zM|g}Uc#3Cuju&`|S9py#c#jVV;&KPYXZZzR@eSYc17&Se4!`9e1n|d;fCz-Z2!fyp zhTsT+kO+m)SZS(ND2+0RU?3tQAu^&MDxx7eVjw1BAvR|EXO3BjE8`(P5+ETGAu*C5 zDUu;MQXnN#AvMw`k_AtU?2uzFos|# zhG95HU?fIiG{#^o#$h}rU?L`AGNxcEreQi}prISM5oXIdn2ULsj|EtWMOcg_Sc+v> zjulvmRalKRSc`R7j}3q6l)U*yA8*2DY{6D+!*=YzPVB;N?7?2_!+spVK^($i9Klf> z!*QIzNu0uIoWWU~!+Bi5MO?yVT)|abLwifs0XO9>+{PW;#Xa1|13bhdJjN3|#WOs| z3%tZDyv7^6#XG#m2YkdQe8v}i#W#G%5B$V0{Kg*y@Qo}W0wFMhASi+%I6@#KLLoFd zJLxV6C&MEGBI2N5gbpE!jEZQ8j++KSt$60Oi0ZO|6&&>kJo)UWBy&{=jtS9C*n^gvJaLT~gzU-UzN48TAP!e9)+Pz*zF z7pf12%MlofQ5cOe7>jWjj|rHFNtlc&|NopH2_|8xoQCO`fti?v`);2Hm@DUDJ{Djh z7GW`#U@4YivgxN_rCf#8ScA1#hxOQi&Desi*oN)cft}ce-PnV@*oXZ%fP*-M!#IMY zIELdmfs;6e(>Q~(IEUv>`UNh^OSp_HxQc7IjvKg%TeyuonD6u#;J$o-hj@g?c!H;R zhUa*Jmw1KOc!Rfihxhn^kNAYo_=2zahVS@+pZJB}_=5oc0V5y+Auxg1W zMLV=d2XsUybVWCGM-TKwFZ4zq^hH1P#{dk(APmM3M6jF@FXU33kd|*o{5di+$LS12~97IE*7WieosA6F7-e2<8Wo;5aMK;XE$jA}--F zuHY)J;W}>MCT`(2?%*!&;XWSVAs+pYwYvjk~)uxVyW%yUPFrGuR-5Gq}6E zBqSjTB)F5{o&-F&z?zf;xK-PP6Aa^|{%ySRt@cz}m^ zgiS7_oAE^a3xDGu{EMe}hUa*Jmw1KOc!Rfihxhn^kBH)@f~bgw=%}x=8z6=l6R{8* zaS#{r5Fd$<7)g*6$&ef=kP@ko8tIT88ITc~kQo8Ug6znFoXCaT$b-Ddhx{mjb0*O9 zC@dC1Q4~XQl)yYcV9ZBpu?)(h9Ll2tDxwl9qYA2`8mglPYN8fuqYmn#9_ph38ln*z zqY0X#8JeR7TA~$NqYc`k9onMzL)i*Xo_37CjUn2afyifNdR8JLM#n2kA@i+Pxj z1z3nhSd1lDie*@i6xVVK??*FTTU~*oXZ%fP*-M!#IMYIELdmfs;6eAMnae+iRQ_&tRNWd^~;@&*B`; z;{q~qXH_T5-Ot#s-haIqXufC7HXpo>Y^SJdD)N{?`+U}G_|?S z&{UOXXpRXpau)h)(E?Ky*P@tgyy5tA?(Q!o|NFdZ{66SFWIb1)b4 zFdqxB5R0%FORyBnupBF}605Kp+guE{V~zM3KF1eWi!YJYDU=QC#P!&Kjo5_E*n+Lt zhV9sao#<=g3B?|9FTTU~*oXZ%fP*-M!#IMYIELdmfs;6eAMhi7!fBkr&p3;McA*e1 zh!^n-F5xn+;8$G5HT;I_xPhCvh2QZ9ZsQK_;vVkf0UqKJ{={QE!C&|r|KMLd#WOs| z3%tZDyv7^6#XG#m2Yf^nKPf~-G(<-X#6&E_MjXUNJj6!=Bt#-4MiL}NG9*WLo!A2@ z#FR*d)JTK0NQd;ufQ-n5%m_dhWJNZVL@7)#R3;*)mo_0a$g(Fl#v1X;b#%7*4* z3$#Qlv_>1WMLV=d2XsUybVeY$pewo|2;I>G!3aT5^g?g+L0^QTANpee1|kfDFc?EH z6vHqaBQO%-7=_UogRvNg@tA;#n1sogf~lB>>6n3;$n9n}4`zw8F$Z%o5A%`2X^;|& z#Kl;GrC5gL$Y6rch*jche1cE02A|<`e1Wz25?|qKtiyVIgKx0`8?gzSvBHIKCANv% zu>(7?3%jugd+{B<$3E=G0UX339L5nG#W5Vm37o_!{D2?v6Hem{e#Tjx!+Bi5Mf`$G zxQr|K6<2W$zu`J=;3jV2cl?3dxP!a6hx>Sdhj@fP@fc6=7czNB&y0V?r+9|vc!8IA zh1Yn4w|Iy5_<)ay;#7-@Xo!v&h>2K;jW~#lc!-Y#NQgv8j3h{k(>C%9Qiv&$3aOC> zX^{@;kpUTz37N6Ogtrq-ZEiDUSC9iakqfzz2YHbX`B4A`Q3!=m1VvE{#ZdygJRs~w zX|W8-q8!Sj0xF^sDx(Ujq8h5B25O=fYNHP7q8{p_0UDwa8lwrCq8XZ_1zI{?TH%N; zIf~W_+F+c5@n|o0Ku2^!X9S`Px}qC`&>cMxj1crhFZ4zq^hGH8p+5#-Ai^*RLop0T zJeVBCNHH9P-F6SbIR)pDz~wU`Ca5wIKik2xm?BQaG)%_~%)~6r#vIJWJj}-eEW{!# z#u6;WGAzdmti&p;#wYj`Yw#Je8-zKqR{RoQ;cKkJdVGU#k;aX1T5J$EViPuF3$|h# zwqpl&Vi$H}5BB0ae2;zDj{`V}LpY2hIErI9juSYEQ}_X=4Vp9f8D}FuDL9LBIFAds zh+l9CmvIHZ;wrA;H(bXJ+{7*Xjz3UTmlQ)cmz^NoSMUHC43LcYQ+$jk_zQpIAN-4_ zc!uYAftPrN*LZ`sc!&4+fRBh`m_Yy&_p{L74FEkVzp)s1EDVm`)a;}d*}!IdHyg0hy6H!gE)l4NK-z7v^XXn#|fOoDg1yR@e@wt3?^CmWSkSv;{qG*o=Xima zc!k$^gSU8x_xOO1h+@;CA{wG224W%>V&kUDw-8T^j|51FL`WRLpq@!03?I<5Wt1qn zdnWUBa-={?q(W+ZgKv=rX^{@;kpUTz37HXqEXay%$c`MyiCoByJjjcD$d3Xjh(aig zA}EStD2@^+iBgz=i71P5D31!Lh)Sr8DyWKTsE!(_iCU^v3`UL>LBPFos|# zhG95HU?jpZ3ZpRwV=)fnQ5t1136n7eQ!x$GF#|I(3$rl?b1@I|u>cFP2#c`vcx3ajx6KE)b*hR^W@*5XTig|D#=>(LO6umKyf37fG6Td@t>u>(7?3%jugd+{B< z$3E=G0UX339L5nG#W5Vm37o_!{D2?v6Heny1cQ419AWr?UXiEpIbWa0Wn95KyvHxN zgbTQcUvU-J@Efk<25#aOe#alUjXSuDd$^AWc!)>%6OZu(f8lTZgFmZA@EFg;=Xima zc!k$^gSWV;@-4)y7C|gT5u+j+q9X=kA{JsJ4&ovn;v)ePA`ucJ36dfik|PCDA{A02 z4bmbV(jx;hA`>zr09lX~*^nJMkQ2F(8+niy`H&w4P!NSs7)4MN#ZVk2P!gq38f8!x zF{LHw2+OdLS4f=!stFjXvm$Q1nB848TByVGssm2!>)9hGPUqA{?VI z8mV?rvPT~}Pz>oL|r*Q^9<1EhMJTBlOe!(SN#ufaEtGI^Wa2+?0 z+J>jW@8Tc0jXSuDd$^AWc!)>%*QE6nPsG3QH~xt%#Zx@PbG*RI2wF#t5+zEjp0DKB zc!Rfihxhn^kBDLeqaqrjBL-q44&ovn;v)ePA`y}z8ImIfQX&-=SjR#v!eT7JQe;*o z09lX~*^nJMkQ2F(8+niy`H&w4P!NSs7)4MN#ZVk2P!gq38f8!xw>E3`%%v_(6#M+bC7Cv-+2x}Yn% zAqd^k1HlMEPxL}>^g&;Qq96KW00trqgD@CFFciZu93wCi;TVO{7=y7Ghw+$zHHN@v zm@H1gR7}Hk%)m^{!fedJ=N9_{^Th>Nh(%b8C0MJYz)GybYJ7rEu?C;vb9{ld z_!3{?Yplb1e1mVX0UNOio3RC3u?^d?13R$`yRip*@g2U$KJ3Q<9K<0U#t|IFF&xJU zoWv>ofFH5P?(fA<;%S`0&p3;7IFAdsh+l9CmvIHZ;wrA;H(bXJ+{7*Xjz4f4cW@W? za32rw5RdRD9^(oA!r%A@|Kcg0;W=L5C0^k*-rz0X;XOX!BceFpq9PiiBL=GLoEnHN z#z9=fLwqDaLL@?BBtcRnLvo}*N~FRVjgCcHF&)w)12Q5LG9v(4kQLdG9XXH_xsV%q zkQe!o9|celg-{qpP!z>b93@Z^rBE7WP!{D-9!>OGQ&bWwqYA2`8mglPYN8fuqYmn# z9_ph38ln*zqY0X#8JeR7TH=tdJB&7BTeL%abU;URLT3b`3%a5kg3uj35RCXWB1nK< zVsG?8UxcC``eOhFA`F8t7(*}=!!R5pFcRSyh0z#;u^5N(n1G}pfzIEhpE0YBm=oW>da zjI%h0^SFSE_yw168CUQtuHqVg!*$%iP29ro_~8ESBmNL?;|}iP9`54-9^w)H#A7_c zU-%pU;9oq&Gd#x&yu>TK#v8oFJG{pSd_)vSIx3w9CLy_)0x6LSsgVY&Rrv(z#SF-ZOvsD?WIfQqPu%BX^>sD|pOftsj=+NguNsE7J!fTn1M#%O|uXoTiyftF~6)@XyaXovRb zfR5;d&Im*obVYacKu+XBFhbB1y^t6A&=;ZThyECVfe6DO48{-)#V`aQ3q~S5f}xYzK)7$h>jSDiCBn@IEagQh>rwFh(t(?bV!e6NRAXpiBw39G)RjiNE*SQ zo*iS_u)dKSRz7jW*A>tu;@h5G(G5Z9jvfd`2v#JEU?qBseb5j6F#rP*hC$d8CxWdQ zDh|VNjKDSp+c8QUjU_f{DaMFnF%IJ~0TVF^lQ9KTF%8o(12ZuTvoQyAF%R>x01L4Q zi?IYtu?)+x0xPlB?th6-#80sXpW$QH1W6GuNd)n+Nx^1p z!B%X;cI?1T?80vB!Cria@39a2(O7pj!6ET5j^HRR#E#%1PKYOQ3P0dS{DhVoXoa7} zv)Je0?Z*Z2B7VUoT*ejrimSMe8@P#E_#J=XHtygq?%_TjpuLrMz@Oq{Ji%Z18~@;6 zJjF9S#|yl~E4;=Vyu~}b#|L~wlvoi&MKnZ548%k%#6}#%MLfhu0whEtBt{Y>MKUBu z3Zz8CR1q{n8Zj+?)UiJygP0MSkQo8Uf~?4f?8t$f$c5atugK%(#CeRG3TmM?>Yy&_p*|X*AsV5j&S{0F zVly;H3$#|y2Cc<5Xp44ej}GXFPUwt4bU{~iLlC;72Z9lTp6G?%=!3opML+b%01QMJ z24OIUU?_%RI7VP3!Z8Y?F$QBX4&yNa6EO*sF$GgG4bw3LGjZ4OxraI8T+G9KEWko6 z!eT7JQY^!AtiVdF!fJeiPq7A{;d6X}wfGWW;cKkJdVGU#@wZL;2b;vrsG2;2YS<=j z#}4eoF6_o0?8SHZ9{aE#2XGK!hQ%Np5s%^+j^hMQ;uLw zh+l9CmvIHZ;wrA;H(bXJ+{7*Xjz4hCPXC6!rl3&VRd5gY@c<9;2!G-+PN$6E44#O8 z;cxtdfAJL0@EkAj60h(YZ}1lH@E#xV5m8(wq9PiiBL-q37Gfg~;vyd6BLNa35fUQ_ zl46wUVKh>RDUk}Pkp^jz4(X8r8IcK@5r8bnifqV^9H{Q#)j)1B5Aq@(@}mF>q7VwB z2#TT@ilYQdq7+J_49cP$%A*1*q7o{j3aX+Ss-p&Kq84hS4(g&F>Z1V~q7fRS37VoA znxh3;q7_=B4cej|+M@$Hq7ynJ5M9s}-4KLlChq457DLbzz0ezd&=;ZThyK`=G=kko z6*q#^7_49jhGH0oV+2Mb9HTHAV=xxuFdh>y5tA?(Q!o|NFdZ{66Pc_$Gvx z01L4Qi?IYtu?)+x0xPi!tMLgw#TtBu&+!G;;!Avmuknd#=~Ju|*W(*}iw)R_P1uYr z*otk~jvd&E&o%W0nmU=9A({y#I=)lod+fu09Kb;w!eJc2Q5?f@oWMz})BJk;DE@@g zID?;Y7Uyst$4q3$aap{AUvU-J@Efk<25#aOzOoBnq25<2W@9_a2kxa)XM>LnQ=!k)sh=tgQgSd!? z_(*_+NQA^lf}}`>Jtoe8`Ui zDC=}7hr(hJ6h$!@oEAqOMpE z_0a$g(Fl#v1iKv2-DobhKufejYqUXIv_pGzKvg?k4V}e6bU{~iLl6eIuna`77=oVY zh3XopfxcoWYKpbc(#5qE1}GSa!5D&}7>3~(fsqKuD2&D!jKw&NM}5sVz$9@preG?j zVLE1DCT3wa=3p-7VLldMAr@gVmS8DXU?o;zH9okId*|d2Doy9$_J-)%W*no{#qN%0WB5uVF?8GkY#vbg&claLrupfUq$d7SIJd7ha zieosA6F7-&*p46Z6Hem{&fz>R;39s(C0xc8{EDl%hTm`K zAwCizF_IuDk|8-#ASF^EHPRq0`WcS>kwMIeOvsD?WIt^6hToGLvfTqNt8lqltEdPLwQs{MN~p%R6$i#Lv_@^HbZ$kYKwJH9}UnDjnEiP z&=k$k94*iitn|BM#ys9^xYb5+V^2BMFis z8ImIfQX&;nBZ^1!s7NEGMLMKM24qAgWJUn8V42-tjulvm>XxSP7L;1yxZE)lmaAQ46(E2X#>o z4bcdV(F9G=49(F3Ezt_C(FSeN4(-ta9nlG$5r{76if#x(cl1CoLhzL?{u({SUg(WJ z=!;PFLw^jwK!jlsR=G)Cjltp&48<@E#|Vr>I7VSK#$YVQVLT>aA|_!nreG?jVLE1D zCT3wa=3p-7VLldMA^vq3pJIu)6w9z2rJXosuu5EwPw*+$;4^%VFR&J0;wyZOby$yY z@GUlABQ{|(wqPr^VLNtUCw5^s_Fyl*!}sXvCxc$tC+^1q9K<0U#t|IFE(duxPKYOQ z3P0dS{Dg{jzY=~H&*B`;;{q4)~!*jgAOT5Bsyun+%!+U(dM?^6!q9PiiBL-q37Gfg~;vyd6 zBLNa35fWpA7Zn?kOiYdxNQqQPjWkG$bV!d3$cRkHi~wXoR%AnV)9hGPUqA{?VI8e=dP<1ij?H2M~k#L1X~shEc8 zn1Pv?h1qEBL8lG6qX!l!Scq;qEC_!mir^n?Qe`uisj?g^uo9;f{D6megijQFif&Hq zAbc)ofFJP_dfTl&xUYc+IH%w|F5n`5!6jVA75s{;xQ5?w9XD_j zw@}^`Q~|feJGhH`$g9Kh;i32lf8sHo;4l1*f3QeXi}6f+ju&`|S9py#c#C&Y^U%qX8PC5gMZjnxYw+qXk-`72Y^#Z?VOM zy%lX0v_pGzKu2^!X9S`Px}qC`@Ig}_5iEwFCwieb`k*gD(GUGG00R+*K^Tl7n583T zW4Jg1BN2{K7>zL)i*Xo_37CjDUJb^@6mcr1VLE1DCT3wa=3p-7VLldMAr@gVmS8EC zVL4V{C01cI5?Og-tPwxMJRLS4pNn5$ExyE8_!{f59^c?wY`{ir!B%X;cI?1Tq_E1A z*dy-6claLrupb9-5QlIWM{pF!a2zLa5~uJ3e#B2WjWhTeXR*w|TaF9jMf`$GxQr|K z6<6`IOVC+d7jNJuZsB+Qf!nx)ySRt@cz}m^gg@~ZPw*H1#y|KMPw@=T@d7W=&#gm$ zyb@pI4c_7dJ|c>XWmH5%bi_bR#6oPuL0lw2LL@?BBtcRnLvo}*N_?VAK1CWaEz%)9 zG9V)|Au|Gy1zC{|*^vV|kqfzz2YHbX`B4A`Q3!=m1VvE{#Zdw!Q3|C|24ztWvkdgv zs3=y#O#|~5s*2SxNt}$DVlC809eiW=zeRnq0UDzTzB0_dMsu+RTA~$NqYc`k9onM< zI-(OgBM@EC72Obo?&yJFgrFySp*Q-VFGA4|{V@Oo5r#n+j3F3`VHl1P7>RI;+VsD9P7mO_y*r%12$q4Hsh4aKVX-Gyc;_d?8GkY#vbg&claLrupb9- z5QlIWM{pF!a2zLa5~uJ3PU8%I##x-hd0fCn{DMokj4SvRS8)x$;W}=hwn?TAZi=_? zJO03J+`(Pk!+ku!Lp;Ktc#J3b3srSkHT)|+#WOrdVSmh31TVywc!k$^gSU8x_xOO1 zh~lMkR3!0=I4Pou(GdeN5eu;q2XPS(@sR)tkqC*A1WAz$$&msnkqW7i25FHF>5%~$ zkqMa*fGo(0Y{-rr$cbENY2s;xykb7&M*$Q>ArwXt6h$$7u1mf^NwE}4qYTQT96Eae z5QvImCH!J2UqV%}8mglPYN8fuqYmn#9_ph38ln*nX#OC+@=*3Qnk#65(+bX@wb%x2 z(GCw4JVHmY6FMUhUCy5tA?(Q!o|NFde_^_CL_g%7ZXR!CcJ4d@R61EW%>^ z=y3mpW#V$Iz)GybYJ7rEu?C;vb9{ld_!7U{nLn^jT#s+?EnX;iiA~~WY{6D+!*=Yz zPBitRpc(dvd+{B<$3E=G0UX339L5nG#h<$UF;0jlaSA`+NBo4-ID?;Y7Uyst7jO~3 z;1W6-n4NG<{0-M}12=ICzvB16wJj5d$(C9%t5&y#9_y_;uDW2guUf?BO z;WggiE#BchKHwvw=#r?2hUkcan22IhjfwN%A*1*q7o{j3aX<9YN8fuqYmn#9_ph38lwr?dR%XZ=3)!9L@TsL8?;3` zv_}VYL??7cAiAI{7HM=bx{Ey!j1crhFZ4zq^hGH8p+5#-AbvHqT#cOJ#32}pVHl1P z7>RIS2Sp5u30XTd)<|upK+F6ML{1 z-{E`g!+spVK^($i9Klh1WtCs!gm@BL#I5*I{0XOV2G>0H{f2Ymd0fCn{DMokj4SvR zS25h=F#_3jP7d5ua0|cV58TEb+{HcI#{)dXBOKGzaXbw>E3`%%v_(6#M+bC7Cv-+2 zx}Yl#_}TU#x`{#Pjvfd`2zsIydZQ2eA{7159|JHDVHkwL7=ob~hT#~2kqE~qjK&y@ z#W;+|1Wd#vOvV&U#WYOE49vtV%*Gtd#XQW%0xZNLEXEQn#WF0%3arE`ti~t!6hE3G zf5PYD7g&og@fE(tI;=-+6F?no5I5pyuS(8hi?|irupK+F69e214#XaDFTTU~*oXZ% zfP*-M!#IMYIELdmfs;6eAMhi7!fBkr&p3;7IFAdsh+l9CmvIHZ;wrA;H(bXJ^mPLi ziksps{Ek0x8+ULQ_i!H%@DPviCm!Po{=(n*2mj(Jp5ZxO;3Zz+HQwMY-r+qy;3GD9 zNZ*WTZgHX`24W%>Vj~XXA|B!+5fUQ_k|G(BBLz~Txzn!&(uir14(X8r8IcK@5r8bn zifqV^9LR}W$c;S6i+sqB0w{<=D2yT~iee~^5-5pMD2*~Gi*hKB3aE%msEjJ8ifX8i z8mNg{sEsFdQQ=65$wy(HMiV7>DtgfQgud$(Vwv zn1<n{Ek0x8+ULQ z_i!H%@DPts->x>m6Y($njeqbjo}#->?12~JOT5Bsyun+%!+U(dN8B|@-$N9ar>NMY zslA9H#zZW{Mm)qv0whEtBt{Y>MHDY8q9TQu5~+|HX^~qXH_T5-Ot#s-p(7 zdr^@CwZ%H9i+ZS!255*zXpAOkie_kuR%nZMXpau)h)(E?Ky*P@bVCrjqX&W!f}ZGw z-spqA2t_)t3DRSLI1phNguxhsp%{kY7=e)p$0&@(7>vanjn2gcaUv#RGNxfVGPoRP zM0q#w74Wyk{=o-)!~&HUVi6W&36`R=#i}5yKaH~1FWZDbB?5;tQDwqhH$V+VHPn9VqjT^_%7<2wc4V;}b801o014&w-p;uwzO z1Ww`HAPcf08?qw@av~RU zBM$k7>c6=N}?1>qYTQT9Ll2tDxwl9qYA2`8mglPYN8fuqYmn# z9;P?|Q_)atgr;bQ=4gT324Nnw7TcgL+MzuzL)i*Xo_37Ci}n2Kqbjv1JV zS(uGEn2ULsj|EtWMOcg_Sc(-`iRw+ub~ z#RhD|CTzwQY{fQg#}4eoF6_o0?8SHZ9{aE#2XGLFa2VgYY=4hq;&JQ~_v4iK1J-zm z`wXYWGx!;2aSrEk0T=NLF5xn+;GNU?J+6y4Fu)~dAa09ya2NM*9}n;lkMJiR;|c!4 z-}ndr;whftITpADTZmWUYrMf*e5c@hd=NiI5b+mrQ5@W;h=%BhftZMe*ocF;h==${ zfP_ed#8_q*mm`^&94U|zsgN3JkQV8X9y6ToGm%Nmi~wXoR%F8lRW>50mw>E3`%%v_(6#M+f9ZK6FMPx}Yn%Aqc?;L3i{(Z}dT5gkmke z!~hIL7zSZ5hF~a$VK_!$B*HNYqcH|!F%IJ~0TVF^lQ9KTF%8o(12ZuTvoQyAF%R>x z01L4Qi?IYtu?)+x0xPi!tMLgw#TtBu&+!G0d8j>(uf(sh4(ss^zQqP?L=u&gVvD#H z+prxwuoJtm8+))9-{E`g!+spVK^($i9Klf>!*QIzNu0tD_z^#$tp~Ms_*p!Qb2yI+ zxQJhH372sNzv3#c;Wu2z4cx>n{Ek0x8+ULQ_i!H%@DPuX)5Rkfo``?pZ~TLQ@f6SS z953(^ukadg@D}gz9v|=#Q5=e>h=%BhftZMe*ocF;h==${fP_ed#Q4Q!5%~$kqMa*fGo(0Y{-rr$cbFYjXcPUe8`UiD2PHRj3OwCVknLhD2Y-i zjWQ^Uawv}qsEA6aj4G&#YN(DHsEJyrjXJ1{dZ>>ENaasJQlqih1Y58bxjpRXL1R^# zprK*W2yInqhxX`zj_8EW2t*fjMK=VYJ9;1(A?S%-=#4(;i%|4Ke+va@jK>5_#3W3{6imf5Oven&L^L zjulvm?k?6nFi)J1HTVp>ytvtowc?lf3SZ-tf*`aV1t^H9oG*o=Ximac!k$^gSU8x_xOO1h~mVKifD+A7>J2jh>bXi zi+G5S1W1T5wDFb(L=* zr-EF_jXe0-PX%X@Uo3!vD1^c&f}$vfV2y^Lq*w~2Q3hpE4&_k+6;TP5Q3X{|4Lvp0 z3pK@B_{O8}w~^1kVm;JH12jY1WMLV=d2XsUybVeXrd-c%< z-NYbtM-K!e1ijG*eG!U&=#K#yh%gMoU<|=f48tt9DYG$L9D$Jt$0&@(7>q@BlUokt zM*&PyFd0)Y71J;sGcXggFdK6)7b6{jaLg0uV*wUo5f)l*ti_l33SVO#*5ey|iw)R_P1uYr*otk~jxjcTEOv>zu?Kr`#0hp3CvXx66dc4M z9FDAqqd11+IDwNmg&*)Ee!^*-!Ou90b2yI+xQM!LcIx4>cm==WDz4!-T*nRE#4Y@e zKX4m&FwL$`$9?eu9^w)H#A7_cU-%pU;9oq&Gd#x&yu>TK#v8oFJG{pSd_)v0kBV7t z7H1=d7&G!a%tjoiGCsJd2hpw?b>QL0hy#dvriYbV6qYB9()j z8r{SoWEHcaI7*;8YM{3&eb5)7=!gCofPo0ZAPmM348<@E#|X4GrM1B*aWr;V(N2sL z$72E}ViG1}3Z~+&%J(osoQYV7jX9W$d6&!-GS@g9n5M zj|dN*79Ko5Ja|QT@E7618^VKkh6f)A4?YjS->$)deR~8A9ME6iw@BJ)a7fUQuA$w6I`s+dHmG+*!GOqv zGSES3k)TRgXrIOdLi+^`2pg8Wb;a~iqGSswkhefU#1bKWdz1|r6xO{!Y2U=l77$P^ zwBN7+Aw7b_0&;iF6Hv5pk&*=>D3w2;ZE#4>kcia=v zz#wZF5**SsSnDBuyY?Q`En=aNzL5(>uJyka3x*91%OB7^bWp^$2Zlu!4+sqnv;6;S zdjbZA4jRxkC?IS=P*A~mS+i!1*CupOK-a*&0o^0M={+o9(7>R`F6b6AFl<0bmqB3> zyB1b3picLIVG$LB0|y5N1jLIM*mqb!zX73LdI$B%A6d{fbWrbZkvkdKH7sCANLX-0 zO95daeInY-5-(nrL1Dq60|u7;e{}l)x2p@ri&s4`EU0YcVJcX-WWmD4hnKkZ3mbA??)XnIIwq6--u2K>K)WIY(Qw=f$^F~ln;*Rgl<6t0$K$I_KrAA z|7m+bV7HJ#5#?RWI%t*)3;6GMeg1a?`UDOf7_a63yM@8MLkIN*6rv51yamwXt+BH|%!Uc;(eCp$?!VxuF z<|+^jxno<#Khq+IE$pbT<&-q>;J+UrJ_@$|p z3q>W`LZM_;S*q8GUQ^Mlx%42W(5r(DDY?2TxssNxR4P=IDoZFAOD`?dfsD&8EtE)7 z5|4hCiQuLp2z*vRBEzOqwFL2t1gvO+si=(vEEiIz>|kI@odB*r63>xEhcKb<06KGF1m*wP~^uo)O6z=a+a2GK)($1g}&t`(}FOcH`G z{L=JlrVy)uHS{VK*6FtPFR4^`rBhQa7L86x=|pj%P!ye(Q>IN6O9jfVDZ;OSC#n_; zg|rIMrB;*|s$?~IEe;fhW<{jR01@Fm=ohP$gayHJu|P~fL~Vq1W|_Io9kh* zP+0)9=(JwpiodNX0->cysuYSSIz`v28ItkT9Q=eOcK;<_)S7my<}&zu7w0bP(*Qfbwg7` znJKj{vM&L}g?fR?R_X>hI!&5T;b#0`&Y$-y8B%^66V2nTl5i58F zra{oO6)0JU93)o)*1!;{oyirYVQLPPfF+=_JQXPnk;Sg(Dr;Gfa zN)a9|aNu`!+gk#UmL5@oMx~AkJz|JNta5cB5fNwLU6$U0LvOKY>S9{u+TZMJ2_clF z2x){OHK&TASWR`Iu!wh{2#YPEB!nWlZ7pHFP=&lA;R3bTTBjv$6ScpgcH2^Xx`(sOy#rEq|GP+z+(nP$TF_sVWBuk&30^5GiXEjA@cOaD!Dt z*_tGz2R2eHVkr_|)elnZs;-RG`dETge9zgdlF>3fvMmyE5o|NPQk^MFL00fi(}VNI z6VXG%L4Hc;m5Us`t!iVXw#`xmTSAfiqoN1^P^_2Ws)XVKH=II|;yg_e5efJd(^;g- zE9F=!vxi$As&XttEK3oEqGY6BEF*FUO_;#PGllJIWk>M z4)zPNNjyZ&R7HhcDn+=VJsep!6spJ}2a%H|LKI3ZALuQ@*r6iOE5i#wEO9qv8=7K@ zhDz1MI)Wh}7LxS}OSr6qMpBa{N$L}`A?}4{6^a7Qw1^&!=oDci=~9R;AXyWwa|=ge z!ogCvgJ=S{$ZoZHs0xuH28Sk5f}ClgiuX!R@o_1npf(+Xq9>r^DySXFS(>oxz~iiG z7e`$OOA#CkL24!xL9x^nT^6c(q}ig0IQ+;Fu`xB4QkZoctSXyd2w6c}36{j^kXyDw)=goSE2?&&@km**+q!m;DOi%Q1|i7}mpF2zSCk+X z4~Yrl6Z``gH5RdKmsBN#K~q$X>5ws6f-uL7ga9C=Ql~=^bS11imV?#|+_BF=M9$TSeNM5u$jy~D zSCSqyArt!?U=^Y?LLyR<28n1D6#yt9B^nYUB~rTGNA%@%=z$0lz)~%%?8~=CN=(X| zC5b{q1|dnI36X>=P!X#Wl%q{{8CrYyv>{*gj|Cu7Sh^khKVoOCdyZ8x;Xtb!WE@esO zt0{_2lL4V9sT71Dm?it!(zTKtiX{n5Vm=h;Dw5D93n~7SNYcoOAql}XNjHkD&_JG$ zRL$gV9k`Mgu_Vc8ASKG2Y?tdL)pRBar>UfLs|f}Dnk4!Fsw}}C4bln8MQ%uDUd-U{ zu=6BY?TnTWhW!(aQ`2x{w{7MHFt~e);n4;Lx8^WZ&65Sa)@i2!4rZ5T68zDyD18G7 zkD0d=CK}picp51_@5peren&Vk)IQ)GPrJ`MJsvAAco_LXv$E1{H{7w(UB%iSL-EI; zGddsi5+}#5OK;Cg`>=CDBggNav`x)$MqHGDi0X*VeR{QLWj#z*`6n3w47?|&q=#KlNv(VcrnQ#5XY7rLX)=`gRXjx3HQDn`jO&LqF5 zFy!sfkl`Csb}mf6wJPrTt0J_KeZVp-)hs4=xp$XhK9LcB2)n9Jjz zRdWjh2$~Sa6M_(t5EUY&%Gr=p#2j>;if7KN+>y{G?bLw?q;Mg4mVX{P%f_o zIYBZ7Ce>=`w7FikEJmB8Y7{SFEIQ?jLZW<>5HF-5=M<7sNUj2PBGW{2XaJNhxUKGN z{=-AYZUBC~`+(V-&6{8Ib6gflawEYy7G1OoEvR}Wt6?cT(0?``L?v=WZBkJ_V0929 zPH`PRU_pdEYo)^>-siwI8?fgjS}jSM>r0~1j5vq8l<#ifa<;q5jJDy7yh=SBA`R6# zw~M4~?S*7WSIOmjsj*Y5Ymy$*ae`rz{9A0XD77u{;G680GRrNnAT&JuTV!LDj|;`~ zh+N;n0f7(%GXQ6z>yw9v!3e4v)Hqw~P`aYWZN<_ynAQH9i6Kk_5cGwFqF0AFg%VnQrRew7&Qu{6E{d6Zxk467m!Itu{_jPu{_L}1rkZwxm~114FhBAIz4V0u#7_n zVjPzk2LUqNc=J%ULDI7gknVizfY4$dloZ$pr=bi@w%15G*;H(8A(YO! zC)fyJ7{rLG>Vgmw_Ay!ypxcAMBDQ__TPl*GoFSc1B6&P#7?%-{xTT_p-x+STMpz2i8#Xrk zy$%m=+&=G~9MbDy9&z6zPT+1NhAxsdtSB7xu>9*&tl4|eJGp@BWk}=cN&f)vEyg(x z8L1J_;f6RXYO& z$O0vZM}rIbfgUe}05%G43mg5Dy9j%?PqAQfm?sQC3bJ3eJ7*)E0nu(@IKr~ILE(!5 zI?(ytXUh*a*EUyanIEq_9IAmC(OUAoVZtme;n(b3GCb~{onZmyuk~`@BN}tW?yRD8 zGE}0w!tQqWz#&UT+%iwJ*pbGWsH;d_#$o=ne_~1?!NR}pQ}h=)EiBSRSK*XY(L!sF zm4#ThnvDAB5+thUK%E8(xo+Nk$iqFurJFbD8Gk2OZOKbD&(E;hHOUjIAur23>x0Ar z7G|EdMxb$eelqF;hV@CdGAl}8+NxKgtpH{1l%!YUj$M&PdMp}*2jc~d0BoM0@|!#* zV!^951A)X_vH_ziHUMM3Qi9AcXH`hI&kwMq^t?UVAW6{iCMD0I@BZuO-6t0f4B3z- z2(O3=O)4DPB)W%R5|5O9w;FG5_a*)pv$!dj?qDYj<9_R)bE51J>`0Y=a6p||8O9VlJnVcKSR*k`i<4UiSbv<@u}jsR)u@1T zdeZ@Wja^c!F$k&Z;Kdr>8(BoVEd)SgoOxiKGyM%ZG$hv$14);3VYl151hwgi>JJVY zRPXZK$u6)VcGN>_Flb%m+wEE9Fd(JIad1Gn)qpJ(4pE+YG58?{mhz9WS?B{>xy(S= zZ>;~hmvsB$2gZ+>q~BiuD=&G>ibeo+>6+BPy8d6#2-=S#$dCSZCL3OPM2`OU`7<69 zqql^d$PWj99M~`*_5xoo20z9p2E=~<)&;jGSiX%Bko@B#Y;%1-DE8WeVmqj2dH{*m zYGc(oMtspgvU)MrG;9yLXEe4{Nc0N)_EEo&mV9)CmH1L6DI3O}C8I3*j^>^^ydtsFgx7Q{svttAh3Hc9UC4 z?q&|3&&V7GwDm~}m!kNa%08a$%_Z13BbjV8MFD-xJjz#X9!!}(?lyMsw({NCTXzre zIXlM>H~C>N$(MSyF}HH~ zue;aqZRM8sBy-A8jD_8TeP!WqhVa(+!0{k%)>FhuqmktFBymnGn6 z>%$MNwzU|f?W4e9+$xDWW;@MhKDWBu+*w_wk0w5Lc2-yM(OlkH-l6~Tc86vL&WHy-P}sAh1dc^A4zWWynWK?5BsMykhAgG{PEM=o@0M9AFap}KVoVj@0iRV zb>OM>tkup6^Nzkby>5K8yt3L{eYARKb!YXH)vb-@W^<#tvHsbk&zD#3tSm3D+`qHE zvVE5yw&nNMXWN^fJbZMwsb9#j2lIP{-ObjmJ+J$>DIrS|{kphk3vDOwz zr8p@@rSytaN)xG+$51K1B9*eG0*iQcjX754YAuFqBBjfzRd-`n z5W{2TiKLE~=hdh}qSl+qAMWYjCMa|43Id`Igogr_$F_Fm_hjaTsUS)g#Wd0-;gy&+&<{JO7@u}Cj1E#k1evxvgD%ebX!9Z}9w^uI z7Y$&@%wAvwW!R7r-XC@b{b62aFy`ddlaqdHB<;QFI}GS35(TCTj@WCBG=8$L&v3%U z+ToYz%dtcPuz7ykXpM*k0_nE#tQe&9LzTADd5Qr(Cjsg>{C?5)eF^wT0q^ut4S@&R zu#_0v^9HoS;-ZJ%8Qj5)(-8AUfSsK`A_)F7+|kpG!{70yOly`P6 zcc@mBO70}tZ0wWHmTPgZ*I=sJbZpDo&A^= zzd!>RZKtrBZ31Xl@Z7>d92+ehHS#4_7+CV{2aVz!zFEzqp`I9$%(ogTqiVI=INbxY zb+kaP@Ma}z#u}vLySLIgF%qZriT$$%^RSB*zItkbUh{0pS@O$C+Nt@4NNHI4d)COa zTITWjY;X4C{MpSjzc2}qC8EKLTMf$NY1O7VL4(lE!Rr6(Ng z8hbVM-#VsG)y#CnEm0$hvsy5f>7Ug?105~crJdL8I=y0)H!LsdAkPWUu9Crv54jrN zwI)z0xibB7qht$JsaH&p=MWW4>Qr9^Bmu7nw2;9hy%ra!?AVaPRAF0ifvS}ZrfLRg zA&aS|fb8ry4WID9SRE0$H!dd4rqcpb{k)cjjOI#o8shK?Fi^YCiQ+*zti;72&dh;#FY8aShhMSuK`exOES2-yzM$F*R<%?~w94;9Ji zDt^ccfd0WV95N)7Jxb2FDvgbU!!bkq^+gk14q8uXPm9vU)fzlIDhjU(j@CE&GSSR( zlDBaO+GL}HUHCy5FfZ?TP2||kZ9m~CE_VyF|9Lpq*}cXy#;1_laoLywKB65sZ^iU@ zh*cRLQ;nP45dMbj4b~^df$0i_BQQQ{N62&WQC=Kn(ZKC%8=aNhSeg0pR?Lkf#&_A) z(yXnyRwe_z&-B1r(D)11mLHj$iK0(X_3%BG0T%BK$fJJTvf1h3Ua5 zOLf8Eu`>~(?2BEr&PPLcUZk+m<#72cs4o}hROq)}W2l^E=;?ipp*4D^-QM-q zm~QX&YYe))QkkzUo>8j+X)BsDSq#^MeQanvFlZ?Z_-j+hE6|^@UgcDLeod)iV<3UCL-XS&$ROVt>w42(C<@PAHqmH=iza0G0Vd3= zSjNzNU}xg<%~>@m&%e~PJYLcx&&mUsHqEuuHvOfWYEJ&@X7_o}m{wR|zrktOkGhD8 z(-$7U5I`y}Ibg00zygG~WRS_eCH(w{`3m`=;d8$>%FRvkSF=-PQ5JO>aKvAY$zld| zI*|y`3TF(f*T|KOH}yX{L4WuK&|7ALHhf55frEKqTucFL|l9 z^(ZFoe_Q{5Up^*EMxz;t4eW2P|J4vSbj=3#udV-`05;RI7}$Si{kbd`H_9+c|IPaU z`tmU@46y788ZJEp^(EGuV`lrejM}U)A%oB8D0W}q3}XT_j%ox$Mr8s+%g~KT{7TJ? z;|`S%IvmFi{xo>Tl=w@0y%_u%d}2!cXSN1?Od7P0^N;^0fWBXs{@Ux(-_%=2^M`Ze zJRM1{u}x)0OQpX!>R`Z3cAs==*!j-a6@Ggaa`=woSFWhch!e z)h?2sYN`9Ah3+#mdMf>GoKhdv*PFhakrnjI%lA99VGz?`yB{roG?#qzkUlo)V}(AN z^l^tiKB13Q`nX3QYxHrSKGx}DgFf!k#}<8T)5i{dd`2Ii)5oKa^ch5`id1k?9o56O zD#WWECd(>{8w;lG*;LG$S{Zvvv^gcPO>F#<$iiJit9k^Uj0(4Ej8urJ3G%T08TJNb z3|fV>dYB($LNsK|HG&5FVdB6c7bpl-On9Nwqe6Fr#g@ybxJLoQe~Owy>7hEp8V7}F zIH#sBJWNFyfX=G&jo)xt(0m#Hz&za6pbuN5ouc?fMq=!OAvjo~7%51#!(=pYrg!9N z>$a&B^*lLgJq3*-Bh+Eg!JyMRHgB>cYATa(DBLPFQwsV=pzAK%4bOIhe%V(wlB-zN z`l(*linV-N6;hiNomm7t{~Q`V-rl8j#Q>&x|AqDX%i)W`KOX~nMpv#3W!o1n;`;yy zIP>7o0vZkLzksh7gMSg9Xjp&tv=7~#A3(r<{xMy>^S*6;N7~jIw5pjsWE)&u^S7zI zlGgdC-|i21aEInioe>|~UOvStpmJ$uMombz1^~-$J)6E&#dOKr+Cet<@|U-~Ms3`B zGhVw!b493Pa$KNVwuTV*Vf2_jvqTN^);QN`=31AbiLJ1yV3nY2DKvsL2hZ0?&B=%- zw5K?7G~(4X5|=Gi)4dZl`#-If+hvvP{Q1Ld$fH(KO67|VUH|0H<~q}2oCyuEGu?BE z;*xQivrJ4i4#nWqoFN*Z=6=-2-9P=O-8NRX&_W|x8I>G#MqhN)5tC>eY27H#06uf3 zm9?N;h8mj)jWJ)H>SWL{3B;Cl2QWvhs%y(}msb=ouy{5)Ag=WSIyA&oZS;~hhD4q5 zmxGxFfBtJ8edQcfXgKMSf1A)kmT+wnHD~OFl6g0om+TC9QzU^PAj1T&^=dRwN`4qZ z@I)ikB9T0iHGu?2e*{~K!9KI&AOa~X#?r=EAClJxn=*Zx!rZ<%J-|ARSyP$mV1tG( zceaW+mC}?{O0P|Y$_W2%(bACgCVk4XC@pI?R-+W1OP8*Orf*gBvS@^N{jo1CpyuR} z@8c2{n9vMnI7i71r*VcGIJo25CSk77o3&emgMM#*2%n(l{!vTmx-q9V$DEmFp%eHr zBR8v&Kc@Fp8Mna;4p6teoyhELv6z?Q%7g<;8>qB!cuBu!X}b{%zrC8~Mz7%`J5m$l zj6LuY3yy~X=x%O#XZzG$Kw`%a12sBPmuX9B*{E0NxHYx1@-I6vbBTdI!jZax;{vnf7MwxbHG&4|_VfjjPUJBI#AFxux=X|#{j3UI4y z*J%BPAHGwiCFpdWqPg4fYwKYr+}G&MR8DEZam82#zc*%S^w|SF5pFhq#RZI$=lQXNY@yGlz{_Z~=~ZWZoYE3djkydSiW*K3;K ziw?cU$h451X6(tbpN~cd6u{2mc%(>d8w(uhz)<}0XEf6UcYSGIzkWFCkA>A^lyBvY z)Q{{o00y5fE+M_2Mnh>7%U2Xi!+B&@JOw6cx*4L+DRMYL-qd;G&Fa+IBaY4~ey8HS zai_#0aAz7KD_yjeW39*g#V%6mzuAjjXs#^gRIt4J#o*6jjwb*37u~fUK|S+L*h~-o z#r6O6<>NmxA)nMX1Anysn=c>#QNT~r;WfGb==%E0$GAF!R&)e>8JPcU{l9(r_zzFu zggk|T-dKO~^6~5h=uC|_S^wnv@6v*oe~DEVXX>c@YPbPEz3u^gxxxW-nJ$jXYDLV? zLJi{ic?@On+mH;icmFcJUJU*fd}8+Q=eEudFt>N=EKbFBCcpL9-_PQ`!Lbp1&chQN z(nBNX&$}3+!j!c-X!*%`kI!$E;~(^CgUQ+XK^w*3o&GSh_9VIJpC?#~;veXM$OoHV z=}3nsoz6)@GjDR31P)xl{+)9S?cJHD(;b$QgD%c!I{cOP@VwADJTJ6+Gc&((mpG#V z-lZf``ZK?RNx`H3U@7_4ZYNpkW9bb|8T{a=`>cy??aAk@zN{Uw=Pr0hC}dx+v_`FM zKDKu_bA#q7z<3MG9n_^MbcQb-LyYq&FcCRC>tin*9gW!MDGkM;ub3Oj(P(rwT>ALq z7Ip;o3p6Tx(jf^y{_*I%wNOuswU6mw)_r%0aN+Fm2^e@XIzvW$7JBW2ZlQN_TIh9; z3QzmbKUSsivDz!u<^XA^U;D^lA6Q((=TC1z0@{@RqnUImpWD5+hav0@&}7B;(~div_hjCFYAC zDQ}7S;z!C`V!rs1@|Kt{0Vcjm%-3Cmi`n8w#>H&$BjXabS_WG9;%5eD#B%gmWP zQ+krNRH-04GDzkRG zqoJ$J+Qw7!%&aXN(W+u-rcAI29ag&CHt@{cjwzEWGxx|OGjB~JOO=`1=$Ulp?yg~{ zCYoad;@ZUQZ5s47X0Lg!^VgWY9~gW!W^dK7TVwWCEq-Qid1&%W!P<1@Z{6@)WBwi< zX!yFAoJp@Uf1jIVX72|!nc3U4*_pkKzJX`<9vX4#%-+Kzlg{jI9hzrmZ`qVqT@25p zFED#+MjZ>x-nM;a{q?8v-+jYxT4WBJhQqYTEN&T=(xMcxDFWR2MLOC#)l8;E=5pJ4!ED|! zY~#9P%ChR`waPrMu}AwPW#8TVvD5nDf?+~|=J3b6H>ws9voCLJ=B>0W z@^-<#WtH<=({7~F%m`>|@k(=}UOR}n2>7*i(rJmMyHRzdnZez?#4lL&_${$)^43Ai zvdP=J<(FlXw^j;ioA|AjLK-LmO)Cb2G*s%f6|T&drCwVuq~YS%j&Nlq9OSSqM~ZVr zNV=LQa#@6{k;o2O5su$l;mRT$zqP_i`-aRv-nGI>BgZc{Z3U91j^ElwCY2VC-`b`o zt#GmN+Z&F0Dk2*5;FNtu$wp$NR*s65&QVXrk*-`eny)zGm2H7YBgu?7%9N&(-*R(G z?NeIiT6UxEX;>P~8+BsM>Qb6cd24l973m1p>QY)!0d+J{71UKe;=_tvf>k1C&7>|x z$L}2tOCt`xd?X?rxD9v~@ycZ%TFMTl3TVe*rGbYH=6`&9K$p(p=d9{^q|(|4i6M;G zt9S&@S4b?txygm#=E2>zgIm{4;8UqRCskKbMJ*(%tE!(ILg|_tg$jXHg{DiPL<|0x z(TT3%ezNmaw_-?mA}S!oI#B9q!2y;kQ;TxoB2^lX!nydw_NZvNRGlvun^O(}i!QEg zdB8x8p-7yhngvV815t%>Z|+9zUWq=+^ublYRxJsrGKk<^EG<<4Y~Gd@e1ZnS9p=(X z`5FQMfxB=@;~^^4DT~XsZ-*RO2n&g6r}s>L2@&0NCr#Swl6eJICIcJ}h+BLThq{SQ z*-1325|`Rq3>gE_dALk$nW~^v{4q)BDqRJqI?YRD%V^0YT2V~YOF7(PGLf%N@DfeM3Tl*!f$OHmiQCs!qk`cuS-AxRB|4Ju zQ>BF{er$VU++9pFc8oLUky);+bDxkL19eefSYA=%*l**)v z$xsyEEflj=+r-)=BU@YFGON^t8-abVYJzT^;Bh0?v@oU+RR}I&bx(LP0@ZM^-#L%XnRg%zNpq;nc5izvs&Xnr9x##y_U29TB_w~IHy*88( zk*Z4q4+R@UVk3AH<`8jpf|JFD`7ALm9TtTcYt^B?w0{Dm=`9$KgZJdFGnut2Op5)% zEIP50j0jR2tg+Z1N->rx08B&%(OivOY)*&wgoD*PO9>$asKr%{_fl&`{hRtl@Fo?^YShic% z4B|3nn$>t|`5gjZ4~|vIz^g8XfYq|@4@g-CT$W`>*2`-dEX(+;(L|)c$}(b`1+kha z%NTAJ#3khGGg2z$qV^O)m9dH_%g8TkX#nC963f;gQ9{O%2$~p->Ku@7HZ~oUZdr8@ z3``V{co%}v+075-fyy${4D~5W>dW=sWz}O?2w+rc8%(0*D3tNxWtrZD7P-}6YN~-U zc(il&Ibv$Y<(Fmf8j%6NhloD3K_=?1OLL@P0#v%Ap<54zs%wNAlj>{437WR6ta=@q zA^lwwc?~k{Fsv48Lf%TK`Xa!b@xD8XdE28j~7%x0(}z>|qRyv24W#f7vVs&e5|LF<@MEYZS*8 zh0l|xYK6gv&<-Tv#0LsY8;Ppm48z)ka6bKEOG6FvyP9JR7D9D>3`D%RR6i(y@^q}G z0}MzYnC95b4=Amuub|+~d;uqm&^|TMu%QOg7yLS-CJ|HxH0H=UGR%mABQTDFRQMrv z!X;=cj_E1^yN2-CRsAJn=h>1{JthO86r$9l8P0b6-PDy&@}g>Yrt0M*rUi!i7Ls>5Xs>}-)iv}XL_gMp z$;uNN6UorBK0%hF=y=Y6h8&4a`}SuFU-PZHgi$CZ}-u9z+RWg<&obO;?a zQ`PA+jX}%`7e(71jAveID#!x}buG(ipvDQRRvkahs1u3X22l0-JQ$amit6}z00A=< z)%`QfxI8KSR#Yd@;EBSpIY*5iS~r;3q~lPg)GKCA$Snf?ZSaVX4y{Ky1p~!C!?r1k zZ}nxMw5Rr6N{CCx&OTItOZ5ufO6@f+71bqFjI&1DW@@7%YmBUAFm})RR8(KkFAMXe zWm4-`O{}5VWZtcwWqndcKOvOXwL-#Q#$F6X?Vo-9s3!v@x>ha77);uKxb#B*QBfU2 z!-orOCFBm_CU=xw0Bew{D`*txLK*K^(KAtAHB_KlG;dmp)BKX>nW^4VdkOzco|tM) z^kSgAfWvq{w{jRz(Ql{~3+kvw)Ev520`;5-cL!mkEK+E&svnr)$+2lQn-x}7SJAdO z)Eccxz_wIOuh2I+7qb;tE$A|wx=`k&R-;UXSvTeCPh~WqR5)5arszT-ZT9ND#b*r9 z;M0DFL2Y}iat4UQj-*BG8=vY*j?rsS;msPe47bLvG`C^LaxDD`em|pqwLs0N#uq)* zfK;JLz}8~SVm3x%q){jXU&S+Zwq$)Si~?e{C}c(hn+|ElV4eCRebT`8tX^$hQQgv- z+f(o)aT5#+I_gxAj5vy2f=?q#0BCipCIO?SWpW$xQd(T(kU2_NHzdqqSVq=&s#SVX zx+a&Q8?-4dVWkNTY8LdV_x_iqullvdddI?XaB9obh0Ewi^>7tZBL?R&PlnT=h$dqW zMizXODyzZl6qD`L>3B5+_6jV@x;0ugWoZO=dCm$*rAB7ba~n-Fd+FxYWWA<~S1Ni& zrn1;lRFj*Av;y!es8$OvXVe}c%wm9oQUUuAz@+L9giFDoa`@7bfeYt`O;)90-N3AwLFKj~a~!wsxfEU5$bwd8{RwuD5S=ejdX{P+&fk!eD@PW%8la z69YSJD4)h2!p-1oSar^gnixx1GKPUzee%oC8ieYu`}I@qimj^p@d_`K*0sy%sj8-P#}N0GT2&Lf#t^t7L~27-b?L_eIy`E}r-~@R=`t2)Ch$!)hGdeY0F2g*)=6HK9994 zwO=hXm1tHYkM^H_DMa!(yy-sIrFpCl)Of~Z-WZ>g#|tf^N)BIYvD8S%6e>3uOx9Ph z3RaWD@YKeks9K$>p^?e@@k_-p9Iy92u>0gNEKTiHRKvoV+HkV6YJcuBWy)dFOD(e5 zcQ^@HrI}S+>e=A9JT4x?lffW9XDTBb%f+i(TPVjX7@b-57UGx?5JZ(={F2dyHbRAY z(wA_7RfHiIuV9Tne#6Bp80A=9OzqvAm3@IEX36@c9#XF|%xWVXh6*hxBpEb-W5B~) zL5!)A$7I%OR(n{DWf*YtL*WUj1)cE_JbX6v#JFmEd{tqdMk;1;VWCOZ<5W5s%Q4+# zF$$X-;klQt-I30YvT(ASQ7K7oo_LA6iIPNYHFa}p|DX~3e5pOO3r4DdFSY!_rU!iK zIveFnSH~z{qA!rsjD?g%V-7$-S~O+ z{9yAWrVSnh(n&!sQq=81OigB-hZ42XS*ufHJEBA+bKyG4u2msfRBY4D%6WyI)!-z% zhLvYEIElKhb6yt6Nz^ThLLBgA7DK4y3}3EUf$xwn*RV2tX$KzV%QLE&Mm(#^kglo0 z6J=Kc?V1`b(W$;tYG$E>lG>N5riMnuuripXfmMkiVp5lwRwf^*N+pH4NKs;S`7p`x zR?q>vD(h2fW*h^8AXy666n@Q&Tu8DiTqoTzE2Cj2*)c37j+3a{3c@X1JBd098N-)j zRiK;Y%Q34MUyfmA`4Ww>pUm>*8dZ$48ZQvLiI7&K1S(xBq7~aNIFBhstuA28iJ^83 zDVgc)F! z*$mq9Vj0LDvN^Od#&VznXESI6&1OKkWx+-LBC0O}G?xX}CY;62^)Q=3+jJ~LTw-nJ zu^dr}wdrRwL?xEWu)u|Txx}i^4py`1r4G}3PE(;+O)WZwO_#AHwl6Qc03 zVl&%=V=_b;l5(y`gpTqfr5po~vLn?q%S;qE6>sw-3mnBvg?oE29kA&@d*FUu=OkUQ z=1iY3gHzZ24AI&P3Me^Kx%?c_>MMSe0QEoPgVZ@efq9Zg)Sy0oDcBI)(WMU_t-fGq zti;jUJ5l0j^_?Vfv;vQn*mOf#Fs&4F{`$8kv0c#b!%rwPwY@s5jT1!B`>w-c7*}el zubH7RR)}czoy1VI0*}|JlyXqt$Llmwg~#Kj;tlHiSj^ln4eI-N;7scajRY0Zvjwv^ z+?WC~1eWh-$kbkB2oS*KFUPJN%O)1V4Z#LZ&>PJN$o{1k^g;ii zMyI}8;7qMmz$h`(tXSwwl~vG=$yne_g=JvJS}dp(qEojS)G-tbnyIFWg{X9y8mfR} z($&p!4gxaqv~Pc!kGfgT;R8pctDEHDK3C`&^x)fIYakYJ?->51Kbcc%v=aTm#xyZ*1&`-F9zqmq>l@&DU)2!ii=-5 zgHb{^;3%rINu!~kiFkps=4WT;k{qC(j*gPkF79j?wU2VZLihoI%Q-Z&3SMq%ri&?X z#~5x19zj+B62@J8@A36pxa^rAlJ7Q>+#k#7%bkH8z;vZbVWWR?chEoG<~t(t1S^+A z@jcPK{wM*g&X(Y+5Zn=x&zVax29Pc332?>l_KnSNs>R*J6 zbSeg7H=FR27Q`|$_8x3ztc_-ipx5qDW(c*{PZieeV4sf3d zZvN;DSQVW^&QH*--bK>+ax`dBA$-vv-~w}vlP?nKKJDRxGl9Q(^I?Z>cDB@#Rvgg_~xjXZ#Hwxz(nTiL_VdD3X`uAy&@N_)WN4G{R7-K z@Aw7CgsS1ZpbO&3Q;4m*35{eoPbqZS$zF1kYc8yGFdA;bvWL3%iXj*e<6xL0qt@W0 zh4u*b1(lU;xA3%s8bz<*5XYJT3xkVikc~j|zyf(nyNd4S0WY}WNc%mYcQvdt#n7jI{|;fvHQKPlAU+-fHmq|=Q?`{FeYVAbkI z>`5Mf8ds9m=HW-ghbVUs+Nh=5-5+)uyW)cB-k-*g%1fvU75b>sM~yz}^szu6i}Zm= zw)g_fC&}{3$wOcnE|2xd_x(o6 zLQ^s97WW$IFYzyIaux8-2}r06jYb;Dz*v2oIzub#5vxRq;Sfemt(0cTAvHsevrI#; z3VPLm*AiCaDe1~M2~qv5lY&q1HQ+qc5L}25OjB#|X-Xy^hzN!<6eZI%Bo{$4R1oes0hwQ# zCVN_p<;M=W3HceXZeo;Qog*)%LRM~UN*tn2+t>_ShzHTXI7|>4v=ETvR=2jkI=GK+ z2sbMdV@OP6TZ!Aaj4s+rP{Kp-2PZBpD_-BAWuo|ke81b!5E<)T%q6gik%@^@Q_$=8 zhRBSY{Tj*L*2%DAQV8z>@T?tvNvMg0MX6d5)eI83&$^={faX<}SqdZQ{m#W%2hAhh z8~EKuZhLKW_5K~x>mfAq=kl>LIJazQfP+D&b!?b}A9Zpl)_wMf;Y*rV!p)te%bHjM zoT8Z}u%M}>S6csZDZ8w&|R ze|{-l%HHkH({9fXsm9up230jj=q1UW-r;lz6kw1YrD~WUlOhH3_v9eb2@r;=!$-=T zE{L>|T#4GXfLt_)bXwVo^rAtejSf_qf2)$Mp4#F74oj z(|*}-w2>Kna3Y6^Axd*OHZB%jmTmA@=GIQ4OB+p8ZJ<=8 zKuNV`nxR;9IUUXjqAC zk(vqAYg6G2BqKzjDkmU{2J3gzx!T@@DANVYMw?#gy+N$$ z;`w?;n$8GEWPk&ynb^+>BPPZx(NNRIdnKnC(~%usWyqyYQ#_GgG}N?_WSJX22{mnm zQ?*f3H4*h$6Ye_$bUB$r8p#oMlqet+|bcnl_TGTccU9 zLDPaQ+r>!PMnlc1a0Ze^L(TDsBDq6V)`HxTETJkn%QUKthnm)e(qg2C6Av{h(=;UG zp{BL@G&YA24>c*%G$iApCU--o$v!63HO!F2Br=NA)7j0^T&uZ^ImygBlC?$Zo)92ul#8y zPYwSqDV*t9H&edW4!;5O&dNZiQ5_7=GZ(RTo_hAm!Fg|Lz}GXBqefSaUpP&LZqs9- zoYPEC46UM}oQ~OiK>i-ayC+{TccU9LCJzG+r>!PLgyJ()~3Q4 zNJfZ4RZc(@$sMXP%pJ)Rs*wQ9Loy!9S({H|1NQMyjxtR{ zG8)Rsxb`&J$Aofh9h3537RuGGCX|azCw_xNI)5rGSpBGDi}!)u6ch5-7TCoMQpd8F z2G{R)koWfHfnPPybL$1Tqya#Gj8J#%CTv`xLZSjXzP^>UI+luUVxeYP1$$0oVskVy z18Gh}J~3j5275N*;#Ka-lWTI(V9#j`C(?@sdp4G<*b%0RjWMb=ZmC6rU5e2%!QNCj z1IY+c7@^2IeHlp%n2Y2NBa|?ABuf~fa25qOQI*kP&&G0fYcvZsY+0~nyXXW7x@;*% z3sqU03TGf0AqrJF0Z}A(sLC*RBul7D&N7WE|M(-OT4@=;^p^R{LS zJAGu_9#P{jr^(4^eYbbm`Eo9yQ>JJEl|7-1uH0WWpXb*Zc}+)KT72j80lxsw1+`QYulObTX;Ztu(FPf&p5ZV7}CdYD209>&-BR zQ}l?ja)z-|mY=d0)Ka7EiCrdMbiApoL;=j)Nam;bo0)-*_xI`Wl>L1cet-WIrw;D# zD|Pdche>WecQY;C%5Co~KitXPl1CP6dt>eXoo%Q;*GwCm&C+JG+-Pn#>9bjCHd8vz zGNAwoAd%DlB)c3{10d*Mpq390?+w|awb7lQ&|#MuEi1z>2@1vShB~~F52gH`&|o}P zno`w$@vt)l{-MC5IPu^nE9viSu4vg`4F1(eAAFF1{PQ1t@Ii(rI<2zw_}fT2>^#}{ zz3*)Nf8TjI9x^qMGvD4wzy0#@Pa`Ayv;~v$pMPiL{{Rk?QZ*@m`KLDi;ZHd!6_c|3 zQyYKDO{trd{qJo24HsL@qc%##*bXy$|leM`0b59=F+i}zxejX|A0I{ z19|iri6+-S_}0eHAngyu^oKGva3B2i#?Srq%kvk5-?>EJN53~g#Yi-|TW}w$?nA|W zsJjm}_aSv3%I-r653aO$94Fw>@0~w;4v`-J95jGa9jR`($CeKMH6;GlZw~%-e7zX_ zd3+v>KK;%?YuGx@KmMJ?4?aNszB!L$5f9;Fmy+|*llcXDgL;q6yk{4K?$e`Dl5fu@ zr6M)U#k4+`{NSkjtlPrk)z4e~x#U;7on)ntrxupW(vRU0j-o{a(I+G*1T1s~k|9o3 z#F4MhJBI~&zjK5$BcI@?PC7jkCzg(qKF(>u0i|0Px4Zof1J&UJOzC)4bWrHwc?UwrY8^`$BBUtF6%?I z-h=MJ`3Pk=DkN)9k_%uzYCUgZLqCqRJsb27PCBP^{2FJ0o*V)f=!{zJQSt?j;R2>) z)I9~x@6OCDpO20}Z^^T+tWDw2TAXy+Sz>!E6l;ZIWoG6M+8P|V`?Pg9Jh=Fkv{nYx zl@y9W!UaAv^90AMC4J2$pcPGJ-g5kZB!qe>h`EJ7^0XOX`y(v zOv&k_`%PssojW}ol5lpB--6m(2i+4Cq>baa88Xtm?hnRt)5e5skz|`V`k2~h{?H65 z8%EV7wvs%ZKdNn(tN;nKy!L|ZL@}H^?LP1Hu8>)M;2nHVqlgk9E;)oEXW(ecE*zm? z@w<)U5<%jRbI4CVEVcnm^WB?V(gjqoQoiel*GN}q`DsOTZd09IYZjf*n$c?JUbi?* zKF0RofX;bl7v{PLrD~~gI9nR0ZWpO)p7q(CTqMjLW8e>p_P!5h`N2?l-5-pFzkrt&zb&2=uHW zicA;jT2rqMYK?+}(*)?#Uia6}I}IuDbAHILH6?A6kkY|{4LaCXAXUnaNs^pD#75^~ z-ej1Qw@*&`Ep=*oAc}!>q}en`ce{HHaLxxTE4p~43=tOGV|9@k8$oYK&^pA4aTd?V z0%+BtODOAB#$@sj)79B^RWmh6^(s`lVM=_MUs1OGnsRNGM7N4)ATO;i%rJjkR&$7Z z27KKbWAZT;Q*~ays`%Q~%4O`vQhwQ;^x#5*9HyE^%9xVZnjec5vl|R8i3zyHjx78x zR_0C3){;MRV3hH?KbWH984*n3n0h*{zcrwX5i(7Z?j7h~#$=NcWS0x**?Z~3qL+ewN8^Foz{gb)P^HZFLf7D3f={(tuMqc*^W4n11 z_fB*MJyi2(xZ)VcCFal@V+60up2_D){hB4d(;u}?SdZMEq7Qh8t{1%+K6rAU?*`e- z6K<{VIcS6Sk|8dlpZA6+0A>VEfm$2^@8!39Pr_t01qHuuk^KA(;u-$sG)uqk88A|Zr;DGWO3C=YR> zafS>*yqOTd9}z(X7=)T>dW6@SyJ&9_EAKT7fMV4xeNxo(*2y_~l)VH24*$+vB*1SA zLv+6a@knrWNdd!H;g64x8xkXuZ3E7^yr9);HK?;zIP7%J=tmyVHY;@<)O`%Zu`z07 z^DTtRkN8GzKY_A6>kg038`4D3v;I5AfQgGB! zn7*CNSBT)c?Kb}Xb$>8F)3;CQnD&X$sBWE<@ar;U@-a#+r_z{Jf3$hW(E1F zf>P6d9!5jwb$`5~=1Nm&uEaQBmm!nSlXE)F(Je7C&GC%mwG8o0Z*%1-G*|x0G>40$ zqMGCB*soY~l_@k=`N}j`9ius(tNw~LSDiw0GA(Cn-Ru5%joMlpqdA_)|B5wNn?iH7 zugvD^&|Iv(V&LGdG_TVS2&EF3u%uJxmFRAT)a^!b{7MD)(W!5~pAvxtyU zdT4KJFeu`hp|7_R4@_UwPH4bd;t$L|a`X}u^>u^@S69@|B9eEcsNYHeGksAzvCO4K zeH}5))fKfU_FbygZzbZIzNnqx>(ZjWjv(ynidq!=E*14#2@$6+YA0H}w5YEmYP`Cl z7RA0xMg3M{+Ubkh32!eg>gxz|udb*?v0qV9$6|2I;=Gj@{FUbCoB^-NrBpN$CiNUt%TvPRN7NV;>7(sUE0${;%~FG z-%2F@N~Jw@Fb*|+6N2%#S=w(U7=NYGo;n_fn!X9~_%)SwWJCp&-bz6JO2s{OOitXt z)2@8FnEb64_ge|dU#YmKj?1B^Z$eytUBx}Ke?TjV8$Zf{LNT}G59ZRlIj$^vuG)T6 z2JC#xWJo7vC`B@qCS@o`GL$D}s6;YUCS|BbGE^sJs6{f=#%93qb4IQ7Zc>JfT4~IG zQihCLY0!I8hKyQ~VZ2(Am{BXen?xa_R%95jRwQQBO7F%}h-h_^QX{51Nu|(USjdwU z3f*PF$E!1<%}L6H-m=)ot1_ZV?E+t@xiBn$=USh~QnPEBJ_G^YG;r9(_8+=f;DWXu zF->lfxE!0lL2NsSy7v8!s z$+W8>_ZkD*)0G!!`Ow0{Wg7Op|HYM;{C1t>Fm{#E#bSi-A(j*C4fYp=|p#})kuHwov0 zJ;KZoe+*B%)y8hF$$z;y`jKzWHk-sOQS6)8;#{uHE>g2jL%*NV> z8^8A97%02NxBB76y>U=>Q}5n~8)xI7%m&}}f3We7jsq%cw$>l5KO4i8-4FcT4>u~~ zFxkDqzyHIHL_t|i-Io1UJwxwLuK)FytW954aJ2^H_tyWPIEYc^`v0>2_v0W&lk0zP z{eO;w7`fK}?)rZp2Qfme|5xk(bsWU1`ERWMtvHBPa&3J_Hce~W(z0&+Bj4KigWrl3 z0HQ=A?#AExaO1y=7671(#2f#~ha3OpI4GmtjlcKd#@`JLpw`kA!zsa>RUe%uc{D;_m z9ZjoDNUKdqODCiiC#01pq?II%JW8exj8CeLPg26g5Gp=mNfX#mQpa*Bp=nFJw&ii6 zk_Asl8(SpEH?~NSHnvERHnvERHnvERCc04D_rC+#xa}SM1sEGP?EfylUJU*sKCxl{ z=eI7l2K`Z|+go04Vh2-y*rkXe|2X;i_dEFCnH~H$W_S<3L~nHP0Pi=V_=84E&PR0J z7o9&qPpSkd(r%r0d;O%3lEdy390i%#7LUKX#-4!_E^N;Q(HT*zbj7 zik`iPDc5kS1wIzBlxw#HUhbW@ z=8|n;Wc$2_!!E!_saQ;BlkM{}-tzw(=OjRjr>*u;w}+BC19AN34wB(xcz)3CoSg94 z3Mc(`>!kZbIj+HSRY-8sh1qk~21j(bM!l5I*GmiFXJ)s&x3oHdD5tF+IQiAWoTDmm zd4AOD8fNbto^+tL`=YkRS=!ysreQTQGh>M_CB4oU$!Q0NE4M%)n1naN+ z1i#766bMy2S?l4ngMRM`{eWc2_Qi0NAX1*0ffy%XzF3=2(-IiJ+M^s$U9R@v1axQQ zI0w}m8g#(&^8L;T+XT@A*!^hvqq*dxhxD;YA1n0Hq>nrF@djIqE1yDjXx3KHyX+=wp9hX>OQVwh`T^0)QI`L zW$X83-{(ZvBp{y-TTgMx2P0R*1crt$rK*TnQcV4@wI2NMlJS=C&8_4N2cnoa#(xU@ zgYyw*5E|smTX4-dwgfz$(pf2V)I!{!3j+9E$FE;eSKd{vUV|W8J9S~ge5p4X7BTAp zK2Hw6QadzB-P|A6wr{s>2`F}+0iTSc@IeJ3UUmLJcXl@UI0+cJ34c(8fAvOM1n=85 z{uQ*S+;F;qQ>dUT-niu!l(ElP9iZl(nR`Rqj|%w}SAj|qv4@s#cuiG+Ejuv1tEmH2 zBD}{kTRq657>%Qfbdy`jGvaH@_|_M31Sdct<*VnY5?;sRV!{( z&;dK9nDolWM%_9CB3xUn3&nX|h&B+WNJOj_-bb1P%inlU&bUHPzEFg{I&n5EmWx#J z^~PU}OnYrsAvtSErS>pSaL1RJA|>m%1`Mg_}T-K)(OVnsUtR2TzFk1V`Ci82VJF!b{7-sZO0$7VV)`q*|S)% zt}@A1P&~?N3Dhtr~q1G6EcyfbZbWsBr)PvFO&W)#Tu{)Z}`NR zyD&aM_B@S+%wA^{64nBFE}WlX+@h0r6gbIhv~^Rcp2<3u-Ni739(PNI26V3hM<8(P z6wZfUm9vQA2~Q0ENY4g-B%VRrW+VA%d1bY^`e^me>dxvXt6Lj57kHz&vHsbk&zD#3 ztf0(sa`4LbU4Gb>-&>z;Z+`Od(cPwgtq!0=9}%tYn6fZ7OwLMX?f}o4Sy|h1^F<3H zk{#JNyJ=_|Nmvw-TpC)H$8}5AIf6K@LIYP`|J9d||1lY_cbi26@EhyD^YZaO<#H64%w+iU>wk@=V*c&v zL^=8ce1NWQfbfWcay#?k4HY0U!YSTP!QRmyP~-Q6K0Zi4_;E**_`GLOT9_#9m%T=h_;jJ@(n zx?Bq|F@l9Xa)2%>EKc`r$vL}D9dTjqe2JrD54Vmk+DDx=I!+7WA8%nf>a>ryq)MH% zPFsf<$p2yvy&N;RgOkzP#~k@1Zs?*}R!7w0_-PzmPouvkA8X@S!UY}Xjs_PtXr(RG zeVhV3?DjBnj@gX7&Wq#bX6Xhac}{-0kvOMtQqwYMb#a37BRb~l&S20V}*dy$56-ShpfJ$Bf~?=BMCxbc6&tbsIyuINom5Pl|<)r2Qv4of9zmMe_Y5C3e0@ ze)%;R!4!ewfltpmOt{?8QSK*chE|}EW86@nbaDK8YB)C3CuzV4-TAVO(KJW1wzyd5 z%222YR)gR7(f?l7#>6E813K)r^IaM+-lrL-xuo;uXwcd}V}sl0l|PNmey?Ng>Mqoa zd@GyHIr?6w@6*;XI+%*gK94w1NhvHGx2n$M5*IsEr714Sx#;9!_$Dmm)2qQ0Y?h-X z9-f|K3l)d9OZCDdw@05@Xi02&xNw2WlaMOHcF=@B*G8CiYW0LaxY)rwDlg{IST`Pis2ZoatC2%p31QM% z>4`%s5?kI8m_~wuZ;q+p<(_tNAfzr+;UDR_<>lN`vWq=-wK>$KDt(kNCzlqgi}X89 z=aPB)+Pg%Dx#cDyLOzUv0}+2N@Ml^kd?nz+iQtvX5v>YG^#wvyX1o)l_a zd3PCOSlDN@4qjMNk+CYM7MNFDoO~%J))qLbQAVhl#48pmq9Z~>Y(jm+^y1~{SYyS) z6)1mIR0h*x@r-G~nqUy%s?3F2zudG|SzE{bX${$PPT8y;zi(ElE&K^=R=Lq7*<TMt8GfTB_-gLUFFz@G-sUA)H#+jtt_<@?5QU-vsjlNHe4p#_?9adZ9UL1fT(JgfF2Qub zzV3x&x?|{u%|Gq*Is3d060@H8D^P_XzG$11gs@n#@F@2~m#*(P} zG)su1m>5pOzQ4kNUW=hKhWW644XKD1<+5gD#^ASJ;%YokcGd3jk%~ z&{gy_54#FC4*&pl4trBDE`Terj?op*%_X@lwM-Mdowv~oMsJv|Ns3@H~1I!JQv3zl~q zW0BqcCoqhzHASU(HJ?)SBO8eX9Q3#tyCi_`yH0<~0n}crqI23J1 z8|+T^gsZ~C{>jPM0^C08K4GYB4E1(M#)lYoRht4a5EfR-eXcs+WbFZk1&0hB{Pg%-^F1C|e0qUtyE4>53c zNW3U+?Td}i=2x(=1(4%3lH>q$%s$5wCtUVPp~LcIs&Y4yZLGthQA-T@Vc;AZ^Ty{? z%Zs*4{B597<3*3@LRjZIY9G#XkxZAztvOTK4(R!r{PGia!{K?i5h0(Sz13dflvbgk z8wqmN#+3bIwn!_qh=Q-DaC2Ke355Qr^^h3?TpJ^uWkQ?Zl<1z{s{oLui5CGqMA!=%}e{VP`Y3le@yCONY^o?E76?!7;9J8+C zEqWsBcCOwDT|QAUofCR+a(Ia!3Lvi76`{Vr4Oc{KZzwiviuaqs7qt=%JiR~aA3TFM zr}YrpUuOr*R0zrO{HqPMxqXGD*BEMgzb@llcY)Uvjky*V^?oh@Je7_c-Ph5e&jmm} z6M<1v;2LX`s0-i_bzet`x&X*`w{^lipBHyZkV=LY9keNz^l|0Fawc9hv|72Y>DJrrwhX&`|BCeS7)mD&5icuZ>PDDjchbY@=E<14gJ2s z`KB~D;s-F+^Nvm^yzk`rqj0gQ)OUY0&9pf0o1L$;*?t6H2pUPm;OMrO(rm_1G zE%U>9nK`rWj~DRag{=F-LMeZV-`+%C40*-QS)14y_1a1--Qtd8M=!baSIp%m6E#E> z(IFGX24f+rqYI@?QfHt9D?BfHoJ`GN_ox{Wb(k=LnzIPft_rj=Vuwn$kcBF!Ohq*- z;zx=o6}3lH?VyjFR!CJHATa8l%9Mp2zHlSSOqN6?cI!R@HWOxw*57 z^G|kGoA}t-SzX0Pb9rZZhyKS~Y*ulrFc7$pw1$OV0loHG20txC!KR$6!cS$RB-?7v zi`!AGS*eT@nTGCVmCF@$tlY#_Ai8lKQ!$|&rm0JF$FOkM%y9FGad}efr(%o>ByO|J zF7drv$L?S^+Jhu*_I0nDQvbO-6`KmNnE$z3eVm~sllnQAL7B4srVamAxiOV2`RN9}7N~2(FAj~ut=w%hinGL34 zn5xkpY?H<;mI}2x=POt7rErQ&mT;v|O2Kluuvh}i{3O*j9O}`g}=?Jw0EhG+vbfx2M6%m>39Mq8#U#lXtMa zqcVOC`+il8y7rcJ$78ly5pUk#+p}vTE2gi*7Hmiv<&}-2V%vsOj-Y$BCMz`YG4*{q zQ|CJ9+xjbbp6j%AMzyu(gAS(p_)ZG_qtTi4K6Dk0#+mpa|3j6ji|5Y*u-l{5uH zu^god2!(Wb(qA4Hx=Y2T87$73ICRbv9i8BONgl-Mg+o& ztQ8Ixk%~YWWh<$Y7pFKeZAwk~C?>+}%2a1u3k8Cx^RY;a=zmiOg-T=r$82$z$D}Tx z4?UMG7O2}Gsgf5VJinn-$xE2g%ckbl?E5p7g2xcXou?CxQ46?c^VA%jZyW8-?2Ey_ zhm%3`d>5TF|D%sT-T1Q~Zv0JkRh?dIjYiWX=RVx{R3-Bvhv+TiWKo^G{zukt$~AWy zHIAy&i5rjQ*1a3*wAM>b#?#r>=hpAPeEj<)6Ud?SZ<7A*`u}Cf>Ggpo@&Deq0Z!>K zT4H7_H3R?a>;I8U$KibaudM%_myf668!P$^zRmSM9VGjgW9oiZ`xY+qqx%3ICEJ&d zYVAu$rSftbhA;vsz@7piY)Jvm;hTehAG*Q`w*LXX zUJU+2eBuP#Z#Q>V@{j-b)AuLWzUIlbxm@mg?tr3O=&&XDRj#4K&Ng#m0&n=nVGh`0 zeSo3Ueh-66hn-;?JLYlg*-+iLhSzewq&^SVZU(0l8R#JP0$j2e*c)2 zjcewf&fkNi>)lhjYfax;2Sq`Z(3QEyjgGyLyY0^T2#lvE{R5nCqlPqI*Tv2zIF73nEHJKC+I~bwkOaSz_-F&bm zGW++@kxqt7P|-H-5ozOy5rmz0&wG3>2Wyo!tK&Ai;T+^!oGVx7D#diZQmm8w=eYH5 zfZRVg>OSkXpw!P>xPcM-*jM_!r$ZFcQ=Ads2PBTz>ntTDgkU%l6mi7N%$?I#_hcz~ z+BzH_TwK=?$@-EF@)0v?Wq|qe|GT|+*-GP@8S@rz8>`t_&^y1@;}O@ zI0G&BaQ)88C%Aq)$(87Fb$NSd>)z+|T&Cyd{YPsXcR$O$n7NT41EyS{Y>KG(43l4? zT=v~&=N#?`oeJco*%<}ulb)H`H-XsUqm|DdSzeg-D=&Q}UWoG{=sl*h~RJOaoC47%*IBsgTp@^OFd?q|)7N2~?bN^>jV zWqsq`7+xxc#d(CI8D>Cjei838yrekgbUsDIOuRIY=zwU;$@)X1jpfbeC#(0??r+@P z+TQu>^G8N6D|ce0L#OCG?*u9tQ$U-Yr#R>5Ic`(j-$qTx87hMd)K1IBo#p!*pR7OR zb6;2?kJdhKes*`q@UXhMwY`#M;~pKO6Yv1UFpN+QZ5*{je|O`CZeCGX zxSjUAb8?Zi4iA$)9PfY{9y;EcjwVwrI-UBB1L3jZA16yYA%W9MnFa?!FE8(G=_8^W zNq#199&<@hgYiOFBK#B^#t+w)=rK~ZCa2agRRV`R9c+T~&(Gun9>@d&F8Gz^gCB$w z{^{}}FCyIF0G^zZMDs(_vDXvrd3USG`ax6;1PY`6=J{!OW8)kmGhHV3m=YQ7@i1Na z1Jl?+ou$*wxMkOYjW!uNM6WMVA`3w6!)Y=^@I;|uxs;a5rBXSiAGl_=jMkYt(2=`} zT=^A|IY(^Cw?^kyyuyv376F~NGv+o>b#E>X-_lnL*jQ|6LY({$tt|3Kq%2qU5hO!wbWxhNtj9CkWq^dq!8nHiu4A7St* zg?d(>*+CJ4laWRMp4!t~sJ!FEMNx%8=j^0~s~93cbQb~cilF--#1yjfjCX zX0Fg`JEFM?XTrTsZoT8*)gq$ADHI|wgJ4fCsOhXKj=q=FEJ znI|JHO^viPJ<{^jNXuEI%BP6dLQg{Nq?}(FI#O5f@2VrA$XvL0qeQ9wk>=XC5l8AN zy@&#nsypdEZ&;a*M6ajy)@IDuU&D#u5GcBwdpvV-rM^2ZWL%?qtv&=}(C{&#e_&Rm zV!7^RN8C%+6#$EIDX9K%Le86#@-lhyXLJSg1Ye^lWc`AJFNH7gDU@HCLTMreq=pof zQ_IRQ(F?6OgTP-$KjaN!zgk4&iT>UhaZii}30mDAjX}HWaee%|-8tvj;#d2UN&2x-#^t$k^!>F6_gz zI=Y-*e1TKH>6}`=dJTjuRZ8W~5MhwEiZ5Kw1ZwCrsczFTc@#^ZFo2-BP@H;Js$WG( z^d~ISCuKBj;#djhlvwpS$~x>7a@bw`%N2_f6Do1CpkfU0B)g1L#rI8jx z8gc}wQO~7fDMbwW=e@)HlaqdHl!rd)Jjvwagqou*j`mvl&RKBhM={;(;&^4?wsq1>9; zI%%JuV3gV!z3^vR!lwV-7`9Ms^NeVG;KDXWzC0Ms7JtN()R%Wl#w$hz1{m9=Iwm8E zQ+G+!c;Dc%z~3PsZ)$z%-tNGGvRv-FIQMEhJcrhUp?aTT8iDuUs5Vno2vJbjLv|?m z(|{qpub;L0^1Oky`iS!HhPC=kyX)W+)b8<{SWC~aC})e}o!e>2sRyn%sg z6z_;>YIfePQNET7)vS^|>ff*EHf2`x>u-l@t;6d#>PivshI(*%iS%AT9wuhkJRmxZqPD zFd)GtXO@>?f#4YuGa!Hkz?tFROkB3hnK&ssw#ubHT&Z$dWh;>-+i?`dj$$cJWJyl^ z$U~7W*|8L*;*yh8rSg}PRLXXK-}iO*=|1NG1Ya}5yEA+D5a;yk>+jXwUw{2IvvSP$ z3$nD#6tqv$?Pq4UKUYw^Zbfei|GGfk0?u^-4yLA>;d*du#4dI1A6}2|9mR@`*~@lq z8*jbP1)K1LSeq^?b3yGPw7iztchLGEeS0e;E&w^qIoD)J3mR}O9pUEQIy+hbcsw!P z?p&Tx-FjZn*l@AFz5R^p;*drL_e+nFp@&A5ai$w}GL;QQeKp{<4C}a7 zX2Hnu=1gV*4DnOuILK}R_r{Qixj5$g#kg5!3EF&d>-pI2&gIpuThH5}a9x<*ex`Nd z4W^-**?KUly9Bw3x7Tq>)mhiszQiG;(Az$_wn2~AsBVWYDsp!HZcVR8=EBx+ zb~eyqm3>V%GrI}bkP&Y1ty>S;pvRNc?a);}c2XwrEEirrW@pHoU~3_WOm|G{&Owd0^L= zZe7^EW~;L}JJwsnzcHP?6?_~6H}iAM_lxqi%p$bu<8#2#ZilX-g58?l7AAI~x()2> zLL5w2HPiKA*_*Jixphj&Hsd#zdkeVV0OR4Z4G#Dh6BbIHuI%^-w1|6W`-A}=z@PZ_ z@O7Wwyj~V|&Y^ww(mDZ@I&B@|EN;S(z&hvXvT%e?wD$s?#q3v2?BEz)d<|Tg73cHP z5UEwqWnmD!#F#S%?SyMhxpX%|7TR9jL8#(}I)xZM)VdXE`}KP?8O~$j@5Y95x=z{O zdVR7V-S}r61cKOR`0K0~(=m5K(t7`!S zh08sgNt?3b{glXZulhacL28&eoU8i{)j0Da-HDPPw?TxxJjzpGVjX z#g_;N$5@?#`epk+;7jxVRa_5e%mkKJ)D$&W?fvt@cj2nP@3*ttcoz=RxeH&pQz+jF zWe-F$TzTO~h6+E9+DGi#Bfx0$u4$w^RCtV1zt=7mG-7YgnIeB}sPM}u^1I@TggWsP zLxrD1=J(?>yBup;`29nLKY>F3N_-)mE&nS2qpu!*kDbZJrpfka^1m#%A{rXm*<6*R z3l)Cfox%?T`E*%eY%y0xOtGOmh3`f&r@MA*u?YR@ox(8+eYf3~MLAu0zMlU>a*d=F zL)s*6=AXQJIBHj6kuhdZN*65r%244S_oh&fe%6NyzYm2xyFCl!*lvyu6+S|lUJM$~ z3;F*e|4&~%O!R7}U&lTkDr}&=F}tioi++Wl+$p>SO@^Jq24{ccPT@C@`W<#ERD((X z%{zr}|CUf`a~){mNA48z+xbUfk)TK=KZtG$mtSRVi5kpRN7GAVH({Ut>liCmO# zVOp0nQ+Jh`Vctni2J4E& zTFY;BYln8!>7++jX}A0;E_6Lv#63#Gs)f^Tv)XL8eMG6I8*amG1aeSlw*AWKCpePd zM3#|PZIY=n+&z3#sT-%2 zPEFsq_Mm-;I~rAHLY%ruoxkUrr>#2p5CP$Fjk3Z6GDT}hdY|&TuYV0KrcJbTOF@SF z-%k&lAhrf*AN84!TsZ5#nm1JgwSRhmPUsrUhf}{%#TA;0+1BW)0V_{7%U{ychP-4Z zRd!q@{G^F6_FL^*1@{Z%db4&nUL;X4l7;<5aEgju1Q@frel|6v+I5rH;B@e z4kOu-q&Kojk0L!5>5-$y5xV|!#z zTy(bmc83HEH%+7_D<)BpuJPg1z`2*UEHX0xlV4K+ezHaIj+XA-rby=7`UIR#eV%Hm1qr* zm+M(*jO<6pV6^h2)Hn~VUL`ajJCw~#4NBQCB>lQ>7&w3_RGbI7OQS^Q1^tkL<|>VA z?7C`kpiXn!W`1(HPMWDozfN+d>*{3C;y|4=*{?uJ%$53e&z`9UtKZ(YStZg_vjZw& zYI&e;Y7j51cT3RS+_|JzubdoK7Sg!p=eb`yI_@q^q$Z|&j5J$Ve|T%2%(uLlaVMgi zG3Hm)U4)Z^$}$6Iz_OtV#xPFy9#^VeES1{+W128^_`YXI)>AmiLyrctd|d7>w;?u~ zjd6XmJk6Z^Bfp(AcPXc*)y#5AXGN%b^P`-n%)b3G85yAJxFKuUa+najH1xXwWEewn^Jdit8E)KHa%)f zWyi=&Nx1gCMsw6kT|q!=*=ECUbUOi*&uc&yW)w6CQ8iQ$6D)XutD=BBD3|iKRGXLt zH_#;_IImuxRqCg{N43$7Xf__&{t@vbPxgtasg;S;EU&JqHK&i_$q_%}aTXx48dHlA zQ^ZJ;G!RH~k4X^myUc-fH6dx_yIB`@_pVDS$-F=aaBc~%VRDzathlxk+;dVR(rMNr zbXhZj9S~hO_MO-sR=js&dp%-nmNj5DQSx>8oRW~AkUr73OcK9CBh!7@;Pj;D!?Hpu z5;q&-hkI3SKV3kJc5R@zuqqHi2B7Eaglzv2y4L`mJ!u`+@L#=F^%62#uZ;~pUI&8e zD1zW~-=$-ZaeMlm{J$HvVb8vyVcW=mbS+QzjLQq_xiVUQkSnT5^hxDKy>hfL)k`k5 z4a#e>rM0R|svhpagiW>MVR~ie$y3vV$s0ExG#nI?Z+gCmx7rD=+XQ@=FCFs0A52x1 zTI~9mJgMoenc4<5@*G#HO}U_+qbha3dl`~@Xi(KF`7;n5^!!PcoSIHz+oaR2z}$;# zN87a*3!lC0F@4f7ehz74WW&WpXt=Y7N!Zd1;yj*OcT6R*0;aJSLt&vwcx{^W9O_2s zl#ndCxQWoar(AwcX=KF7W%TQm$ta}<6h*amlRptkxd5LlnIW61 z<_cO9e)f`Q!bNzaE{wK%?fC@e*}+Z5u}j-Cm`nyWK1HBb@ZygFHxO@pwFqY|H(JMM zom#b7J@!v(*tJtj4_HNH|2{KenPB>9SYxZEo!|f=At-wYGJ%f&2e?+97=(0UQocCR z*u31=>U$j|($G;4!Az=O%u8>IINWivt6w)Uj4k`(#5msse`R7=(7i>(Fi>4LF~qNc zYfXAv@KRV9EstW1tThgs&le_pOgEYbWQO3WcjxrL%sV<{w$ygx%m-4*Jy?35A2&O& zhQbuuCfz}92c%}Gy@0*@t;H3X20#N}P@K~AyhOK@zt z?!B(8)2cMiTNbc)2G6~E5QrhChrz9M;at_l?ipNZ4_X+F$~}V0X0HwpYXrD;JoYO% znE@TmMq}8EWMQP{iB^}t+VLw#{(OK=*&D}-Qvk4R9&$IkHB5v}Q{?0^IWUaimS zv5y2T-Lvc)FlGbZ31`wf`h7F$?eM;t!b58Rb^~qSKVP7T`sd>klSl;28RUSM%|bKyFVf6cNsmq+CB0Uqd%Q53>NV>_F_uhg zcM)<(cH1+xAQj=PK%-LKfe6Mc#07?9P2eC1EYVyecb|ENOKUI6L3ZJ|<`aJED3$c` zn`=9>_b1X5lU7wC<@0)h=o*ym6}D@Lrl$H#295Bjt)p;X6gCN^3KkdhnaLYOeTMBx ziVkp-BRQsj=h6XCT?Zkyvc>Z34Cs(fu54yEXQ%LU>Uu~*W)PbLDz$d6SvoU*Ko`|F zmoTp(4n7VIo_EAg`7Ac2C*lJc^1e}7_RDY=tW}w!oX=QMwd3Qy>*kMG=*MS=5L4cI zsCCcq0V87V@D%2^j@tFr!|8P%F{~bvOIqM(soGFnAntw0lVSqNc*4DMQuH7aP0=Gq zG$ruSaH_KQK(OyY(%>Z17#s6BH1@O-G?i9F2v%>SLKPKV&Z*Z7M;9+@MyPX(M!Q43 z)my)?xY}F4@a4wd?|E#Z_lBL$IFr}KV0ImcP(9lcOw%v{b}$6z5dso98t8{O?3rO| zG*Iox7ws=b##X$^FJdf_F)N1FGypr5xMr0FUGQc5C;1T9@5K2F!{5ZmRDnJymjAW< zZ@qf>g>V+tq0FStSNO(I;T4XXeOEXqL!)!$|8f5RdG+u;JI}*!!y7vl=Rb(AfhQfN zhM&#<>Z^yp!>)lvZ+%_oC_Ef0JOLzh?$_y7NCtHN{9gX()x+(Ca+;e>4AY$JE0TVe^f8c3ow4xYP~poFGHRb{ohv_?|8fi-M9Y~>EBTFA4259u1p{C7q7!hV+3cI^Nrs9IzAu3HWnuz~MZ zRmO2M>@sw)ikz775=)rtdRr-Pz0x4(RLZ}ZT1VDvib%4v`&KT67v{avt?( z>+tG40g&T#W-wHDsY1tw0N1#e^>WIemLMH}2JcHa5oTMhb`u*DDb%zD2djDoo>%o+ zORWQFsZSMn@WO1tT;@$r(|VUyzz5CdQ(AK4j9tC<4Y-w}>lN>)U1=S|JW5?+*c;6* zs^+wEA-lO%R*CEm3b$V%lbv7DC|XwgFCDa3Kl8fJn>H+}yaK7CK_+7ye0%{)w?dZL zR;7)Yxqt_lGxaI+=VPn_`FPgpiP%FyK#$I3dWl6$J6FdKnkaSHY&6?R!fo)aQY8}^ zK6@p6Y;g$WX8^s3w}yX&vxxMzj<*1NW8(AL;WOWWrB1B^eeAhLrr|TRVL&9Lx?N0k zR1HiOE})E%eg`au6O$l|BF9M+{_9Mo@FojdE3Q0TiDN8@VG)P6%G`{ye`F?3FB4xmR2V z7WBh8h%N~Vm}u+x)GPZf&r3rK&8H{lC+F}ZJ#&%6!b^xoRG;^bDuzy_82IF@xfVR)FV$=4hxX;@i5I@Mb1OwNe551(R(Mt#p=GZ!5vpg~7zCaK=t7O5!*t<^sm!_Y&R}=ka?P z@0#_325@SV8qjP(t%Qj_y7zK;*gd9s-3TRPWTDcn9+P~LJ8FXMu4iZuIuTO#?Ug4L^#j8$E`~o4RED; zN5fu?HtlRA2Pa<<3e3=9cVaJ`aksV?Xb zDAHq{U$gW|k99n}(PD|7>qYud8V%u%Doz`icGG+JYCv~@zv%g3w}j+mU}bwTOkU0& z0-eTApa=zm1nM(B7*L#wgPofJcyyRV8k>!L40?STL(B@z*<==)z%=4UMEUyWmW)hy zf*Cix_C)OK@z;t(3RTsPnysC z)ee)13y=t~#skApPPWyNs!Uj$=fq?|h15Za2$j;gYgL4XNbvFc8JFj%{sx^Y)Q#w3 zMf!NqYV)$|Y5n?mQeA!S_ohqIUdtpED;bE-|dpzCrp!LBt<{g?_n*#Fnr?7xIC zEox~O62Q;_t|&)bI0C9AtBI(q&^TK=e4)2xxmmR(X!1L-xG#eW_A(Yjw02#u9QgGF zmVd|VJ|AjC6o(1L5?r$$hX$y)e-^F{`b6R?@Y0X~z)BJjn1h+wES!3?*>n;IDN@%-vF3pc~#f@`ifnU88`!ati;fr26$d@9%=p}%BS;v=PStj4GxR-^Vy!P+p0I3X& z#wwAtge^yJVRv+qMx8|(a27Gtj4skhv$&2&mcC`_Tb90M@r^41VEW%^iIPi{T%saH z`c+7R3b1>8nB;1UP8jOI;DGAGVj4oteuo%Qr7u2|^RrBx&ec2zmSGxy7C!Q+r z0>!~5H{c&+POrO%+&mmImw^`6_0ysB1twbJ z8?{!#a7%J`f)5Du9MF8-GaPG&;YQ19moPZli+V4@!@|MY4jry04kF&H3~q1KWT%Ui8hi|u$o2s#|_mMcNT zy@nH!Z&wuyP5a4kqvu?OW}PO<<&#Rg+p*V9R96K=;4Nz8R}w zS1y!Q^}^hKLc0hO(eK3X9ybpulz~RNN4ZH|Nm9W0s)6{*G3A9e#25rZ5d7FAXf*Mk z)fO3Q)!sqV>r~F>xtrnY!tZjbPFvp9PD@#2wCtl zVVDnV&uScq4W?rvf}A*|)+ywOHmiqW48N1s06fQj<7uF6Y&?YOc6)0-$L~&d8GPG zm-~8hg511KK&T8xJZ^zUP2oE1^awiotC0ax87i%}`Y-0QAPW}a(06(%k2m^=MYic6 z(T+#D1urz|ph6-Vi|XJkh9DfA)gu`^kKBZWRic1gY&K7!$Z5jOD7BJO<4G`V=WiCi4JPtl$K7<$p0v3l%2O+K{-M5$O|W-J&Lqcc;kfsBOG z4eTKyBg zvRKv_)~RO!>2zO_-;kmfy9^mX>`fL1g@^*0C>Y3wBoiA9Q9=7E6BCe2+4(X-K1K`) z9p?SP*{5Yio4x9)c;2B`2|}(sZJ~kv8F9pws)c2{0|x?bddu z=Vu{I(O8{SSziDdB-18kXECQA);}i$eeYYRbebrQj%(m-1aNiyu&f#K(Gc-^euUh+ zNA(3Rqk?B{Q}19x3pbAJFL3(4OPy62a762nyehEEe8|~4C!hoNk4AI&2LloPF@NPp zqBtfS;GC@Ab{~xIrFM%I>|~0<%hv0Q7;>X~QPjkIFwD}7QW>TTdXZGCW5rVoR4q9q zQ6{kEIa600#h~udKLJ2no~Q~*6CYzqecAp?@Oer+{7(3DIXc#O`DOCkuO9w(B)h|; zN&kub&&wSawx%?xe=PswuO5CoN(<=b`!BFlBeklFv066i&+~ue)x+y}Bi<5K`7ULug;TR(7)|B3Q0qgup$to>5}39e=T3I4on z|1_R(E&H|;ig=lL_#+5>f7cuTU>s9ivLMWRr`^ZnbM%GyGuLdLwJ8Xpm#B`h3&A-2 z2xgPs*N$sXYOpzak1EZi_d_+`TWnHzWVqYVj}D^q9w9JolPUp)J+6eji#Yb(Avybq zQ^jMj7%gPr=ED*4XdYKO`=r(^_&OJdp(DR7$OnA2s@OAWV?L=Sm+)u8Oju1QKPfN5 zG7K-3j!!L^SW>k{wSG#IP^ejIfm>A>Q&;gUyBS-sRhwaKX-U|6SG1+2BQn1{fAbaG5iYF^VCSj{boeHh9j!My-}qs?JV%SaM1 ztq+g}K*=PH(3AYl%sy2Sl|PuC(lUUKiN=doqDJkM&rS}S^~9LrZaTrJ4(oK!7-7K_ zL;;}ZAXI;l$S_r&`RcS3?FXy;V;^$Yf{swZ*1|5!bgJ|9Q;bK67vrYv7_TF7g8|zh zsmptq{{+PWw!0EvU_XG!XOdlkkN6g|d#<8JM`jn~w?UySs2NOaiB8G9)N+y)C_E{{ z0~5?h%ez>j?JX>TcLQqZ{6yunCNt4&2hNVP32sdg?Yx<|yw<8t=Ov`3`;Z%FriB1GbX6bSp$J{Qn*=(bE=Ze868a))%I!hK~LUeffDW?W9JnBa~marTK%t z>3>df`Y0R}cssPl78WMR%~e`muf0hpOusio^$LoLBy$xuIq0Y^|k@t&xcFk8UsM zwu3?2bd~e)WAITXqVUil9 z2eD@bOL*JcsZ{D6?-}<(1xgu=AFYlDSbN8j!jaFehar zjqC#i@a~>nm_=i{|BgS^tk8_{t?S{>N*!+RmA*X613i{J#$0l<3<-!-aISN09TsOL zdQL2p%C$W-=ZqWgmFFolTWo!O6!E!bU7?WaKDQJ%y@;Uu<^-SuJM&vJ#RYrojk`WG zezVB$o!6R;4Ujv2P#mCOjHRo>sdpLfZOD0an z1}d^m_w}5gxlnmQHXrhbT`E&kJ&Obv5*BL4hc+mqJHh0o7wM;~D8`0gw*OP!O8WwB zzQvjc%+}jp{#od1cBA1V@?Z-6aQ-J`ztC>jr2bO=e|`1v2henXqp`_rvuKj;@a%1PaO78?};tH?}_!luBmW z$+S_)U)5$L#VlgY-2N-*1ok5TGyHkk{uw;67x|s==j-n4O~1s$pZu10dy-e!lcYUF z@wB8J0N#orbwx;qa)2cOF_Cfdy)*A@;zqY_k<;CyOZVKPlf5&w;RVkI*+x@jT`VH3 zt?Y&Im)6-~qvB@ajU(s&XO$D)@9?;#zzA-E5(XqX?jEWbE}Q(>&CFa0Z&?S1BfkqH zyPFXjT3l(}tjNco-OMEwi`LBx!xKfQ6`PXk#6hij;vec0e602YMA+LTkxs`X>Mq74 zNta?0bO&OR6udgc9+Ao8Cp;#HdIZ}U{=IDf=MZFeRdCXc0`v0YuR1T=e>FDO@n7gX zdFG^OP0;>Xe1@|4IsAFq{x9%^viOc83dKyj+Bp22c=)To?VYZ;g06tW0d$1iT+N%6 zbbMAE=IO3Q+(>6(+j5)79m|hBxC0CiA7k^2{R9xH8VUxM9o%|dpGthnqYo>$zP}=*osG7Z0`Z>#N#XegPToV#3Q$m=hM(dO37SRgnK+dNBqryW_wj-^#Y3a{ zrYkn}qUICa9vIXQ-(w(8{-H)nB}gO~kX4KeqEk3pQuPy~BUrH*NT@U&@^)7ad}ayt zX?Q6YTCjp8&=&;UA#m8`FhzfGPl4_`ptlQiamufP6fkK7k5rTV3bj72n#buqbxMt6gTEYC!w(gvigkcf?qqj%vCgVc>Yh*w9FHsrCE$)&3$vA?x>Nnv(eXa8z zQiL>(>9u;|83b90F-^Oao3vW3iGL*~=?JNanVVXZU8n2xir*Ekz+n@dsicj-7^fi_ z60djS7A(#BdP)19;#v&vVp;^G@|(=sDU_VCaSP1VcEmsNW9Q1EE{ zS+f!>w0aicR}?%&WEGb~A+kBwsjHA|`YpYnv$ZQ{3H>#BNJnN>(&Kuw(w)pmIfmvg zO-c`Im7^v(qx<4M%4bAANqV2uYDqpv;=_9tZc;}$dEB7GBvKUL)HbU*K#3VNxt=Qb zKG`0<8@uc3ox81im+0tjppuHD`n?*=BQ!pmX_@1^%Sn_>dE-25t^Fh#PX}~$y|AaN zra>C6!nM5xIg&^Xk~b&8NB;zuLf|S66Kc>|Z#pT2ULf8H^Ys&=3La7l%LrWW z1;R-TNKf3XJsME-XhKXRnR#~O>39WBrPiLh!KmTBV6sb}G&(=Q?@uK5L6+c4!2X=z z5P?bgmDX`*sFRrTQDMR$6{MZ9#8`?JA26Mcme-0a>r2jZA4j2-oB(;4<0or$Oj)5& z_`LJ=b~llx!<+_}y_;EB7+HMq)lb%!MuP4TV1u=i8N8LP&9%}cTbUfZmF(sN_fRTMFZM_(!>_;FA!e@pG||@G#;_^Rp1HR@Kddq zgt1^dt0&~AjH@Y{4#7NOlxkWTX1Hv~DOQh_ufZqV41CrUEjS89w2AszgPIhGgpzHf>c0{Xq_e`oj&Z+DJ7*wtFla_ zG7Z>ym1S)3XqmLIJ3@a>(laAT^=sPvnlis8&9994l{UX7MwD+73xZU0U#HILAG7+0 zY09)@8bUiv5RoXUDQIy-?6(9kuNLAk$Yk0bpPSzk?D5ZVuch>^jFB}c^>o`x%Ja;zuY>aJm_;sp%mQJ`)KLqzboD+UF@3!U zBoLzd)5a(k^Ndki)SEK}A_sI@i3}!|*1#egeyqQMjorjUx>GVFM=tl8on`jn z_oCS&GGa>n@%*2YOKL+6K>SRe)BGQmyHP`VC{BRM^oVY#rOPS9_9v6$ixe=8E}1ml zG)cdd|CLt{;W^8Nm8hA-znA|F+Ajaa!Eo{9JL${;-8dS87Cn+QFPav?kK}ZKl}~iZ zW~gF911GA(1>cG+BsA?`0>s#({~P%8vi)D@eBG9T|~^;kE@$ge_D! ztpyR#j$qKA{Q&=4n4Fq4m8EnTH5DLjco^XD{?s7?`QQrBQw$olu6BL);Q3rZvK1k1 zfc^bV|1pBs0kZkw;U7AEj-AIcLgi5eJw$Ez+A$*PCB28W3WcHf)=v>yZ^y^cV+yqQ zwd2#Imp^TMopL^+-<8@6`VALRR4_dJsP^L2_tvqyxq4b@NFl2BDCOa}1Q{0zn~b5x zxJHy5us{;scB;Jvfz#n(?22eC(!B&gW93B9SSn`ADMW6Yn1x&5#MGEKH90vuJ~cU& zz6t;C>vmvJ9t^Hu__e!>WwYx(xmUxbZx{CtCcTkOdKBrgNRJ#nmguoTj}>~X(qoMt z>-5Oeqd<>kdX(rVQS#|a-H z^xT)ddr1#}KT@AE{0ZOiLw}o;Z}=#gK9&!o_wYaan?(O>w)nap#GjXIA(=-2&VeV# z*fcml|A!FupMa6iA59A^^7gSeJwY)ct6uI5+|~i>>3d&Uy7|I;ZxS25)e1=^c9Uxq z4pPqL)9xIJIrjYFi2As8NY~jmaPjW&@IKtDA^sr4XKCDF!K4^np)2CHaW|uv!MD*h zdc`F?-smztaBEx=ckv?O5xo}Zu|Gigd4Uo7|~LihG1+b@+2)ZyvzD4;3IQ_geLKP&JKH{p#FX@h7a)p z#zG(4odG8ph7(U4JBd(3$=2;!;bh7}RxCh3+*2F#?(q-Y$s|9X28#~LOaFjv-tQ$2 z4*Gzrb?IIts?1pwBlk@x33ol{jpzlTa=g&=UBHdGiz~U6?UkjKt(A?HQXyB&6>^3A z&i141;?iO^ySTnoUMw&3OId!GcFM(#&F$r!{yf4&koDMkT=ug4-|(vAU&54L6V zQk-z>p3(@HcsRB8&h7UKCl3cQT@0KlE^u<-#cLA|er0gjL5S#Jy311uD@5z?FvR(^ zifdSXcg-+4fuoXq78tI}y7LsygdK0al*hD6&F(RpA77*UaA-rf(5z#1 zhT!Oy(V3N<9+R%)M&*wRp}$aZjVhi^JAcpYfcMR_)2qx41;<&WU(pJ4_gDJF|3+E zrax9xUH1ON>Kk|_&rb0JwdM>#8T0ENm7&ZW$x}_1lwI3oQpRmfO+Sk$_Lzm4bc=~J zcms8)UncG>we(T#!1Ehe1RnTp#aRx}19h`sCaz60vr=d}VNZKZDi zURbd1A|m9}77!WNpvs_2=_xFyofYY71-Ameb`DalVsgdz?e*uLO8pYt6X}-0i1~3# z^p0j8n@29nBKIi*cs%pW_Dq_b?wK@g-7)3zoMAKitpA0_#8n?A)21cavQ*cawx2#4 zD2+)RQd-jHU>xUnFTru)J{dkUKfZ|=Zl)*e#A+)>kz$?5s5cIs71mmGA0{cm*Udxv z8qNXv=-FlXDB3l{LFUITVWl1626J>q z!}V&53*Ktu3y_)(_#6u9SDaaC@MJ7F+t!Gg91Wz!`ekx3a2+FrjpM*@N(%hk`Gh;6 zSgxO9hv;=rNmZ+w9(^Yi)#hVHA3p}2jz+u1#R);?$1M>`f|>p?+)6?R7Qg#iVD<3o z=Z@=dfZ(dt0SR8c#1t~xFGFba;}%f-QdCaQM#%gLqK+V%R-l$|Mh|PYQcF$M>VRZE zXmfA*F{ofi`(>zWetcfZJUI-JjkksMFU%Wq1#%@mSg%NLRx} zt98s|;m4pvj`Ye<*8KRql9(hpMB@i9&cfE&8>hBa}B+;AJ_q1D4?p+qaxW3Nb$=k1PBt@>YRZMWDwRpWytKsU0v8RDWt zZdkApH<&ZN_#ysVhnL`@*v=W|F+aZfxJV*-hT?@@h>Lo#6HY$kN*-d{*UU~hGmC}? zXQ%EZ*eSMihKtOPZ$5UCkgZo?Cud~KVwVrbzUmubql#*Ja7IE2raV6eU3T>7p-449Nv&povkpatY3f^vdvx`Eg5_hT*ks9f3bG&3!O{ z5dAvpZX6nLn81OTNC_uyiewo{(yw*DanwCt$f)BJ*Ei(2Vzc{QJG*txBtG{uC%1E&Ag%!1p{)XrpL2Znstvv4 zB^#grpl#LfxLd~OuUXk`-@Vw}@D{VO+iqZS*~#z7%I-Q8#T8&D7ORBqyAYQj4iOi~ z%^T`ges`xlu728`wF(5=uCbY$HseJ1+v3X5K9ALay@3;#opuiF?CzF8T#1fNuduB- zuE3#PAZ%8QD*&^A1yXdqA6KSpHxf2B#TKa8ZP+WrnA})hSh-1Cr(<(vLb)=rxh6xo zCS!9=g>p^B=9&)WnvTsi6Urs)Bm}mi84K2nIV)lcuAjlO@J3dGXo)wgImR9C{A!=k z8Dv-E+aWr5IFfi(CrzKOJLlu@JSF4DIX0vCo^eTD67!gW$Mvl7s8<9r888s2Hi(=Q z>L6b>awAv5Aq)|PflwF9(rkFq@2po2e2S&wg@)GDQ~wMGg5a!>l-|`v^nF*MVnI5y ziM{|!t)irkE5=JZHxMpU5Rq^x&J;ql;h#jp4gRWlxW%ztV&TEq15Qq;x7`Qhd#T-G z<=&o(foo#w1~pOW+zZCkmHS}`>3q=?B9)!+oxOg8!er2GJ_NCaZ;FV;Yjv0)mV+x{ zkt=XAlW-x)zEb`C&oH!nr;E~)F{~f1m23rZ*(4vL?Ebfir<8d3Jx(Mi%lTXf zaw>e^P~qOttB1eK&KMpTOy<8mRQN~8{JnN&cNjNWlS73CWc}?(j1LXLE4YYGcU+2uX z^8Z#0=#x6V@bpfh9oJUIrmkf z;f}kLG?VpssPGMBbqME7rghHzFXn$O6!$rp#_3Fje`BcdN5b8Eg`sb$p<>n3 zz4G?7z5U-qt`TVRf54xY?O(1?r>tsta*t)6)J2caO}T`&LETrZ#XBmgq@ zxDbaPv+`>5qy^sY;GG@_%+)J9qf6Z07-iF z%2Cpjj_<2}KUIL(Uun(DklP1fiF+4^mj3m1lk!fw;Cg z(h>p3Yy1E>!pL~g!EwZ;j&@2n6@UOFX$>o>$l#h zH{Aou6Mb=>W~74=!qgh`KJXF|KGH<#TW5yrR5Ghe&|fWRsYG6 zF^q{D6qM4Sszep&igd-QO{Lf*k5crc&~k61LaV;b3ayq7G+&HHBTCr+Sj}WERD_CS zoJ2$K;|7LIptbFK>Gw4#OI>A{*GWj@)IhKNB%l5A#|#A*(zd$YKqJ@+;mJJ4nVwo# zmyP!EeDzyP$LL>OA^iE)h-_w5cw?l7I5br0U7IN&Uh6l2}+}DN+iSFec0I$$yb7eZLah%##)w_;lmCdihHB zl}NRmq^u5f)1PHiX#ZU_0i(m;!=IP!U&Rwfhxa&xm>hm=_MOS$3Rhd?+CH}B4skgh zZf`sE3Y9Z2J?EvT<|k(6CuebST6$)9_$!suE@JV_duQKxB8%Q(eI?l$E`5nx0b`*G zPiL_@;EontVF4S1TK{^7m2M?POWEOJF;JBKugmaEd-3~N5!br=`&b;-A16J!3ltlP z{@3xdX|0SXHARUS!RU{XCQhJHk=GNrY_^54;(;Jbxh9p8lNTh}{1MX-^0JnNA}UY< zC@|rg4F!?~1Nxxu4Wjm*<8nK1ls6zpy%QfO!$Cbhj$ZcX(>wFa!hjtdhYq0a(O>~mDzDRy6 z=(QmsV$`_k2S)o3ogN}eKaG7r6PcILZ3-ufwJm?FHd}lT8og*hD7Y@}eo)sh&C?ZX zCthdX+cLGt;!36HV)Lc~RdUnE+AF%NTgcQKL9Uh(Yn|mvr&}Sj$PLq}41R4MJi#KC zXoY?(XUkhzcHO9eCIsx(^QPCq6+#?0N&1mac}09gS&}%(mPvV38A~EnRj>O;mAa%& z>im4cWr);}c`hkn+ys$85V~Ci@Uk2Qv|t8-nt4oWV04Mtg;k8)!#RpM3|*4N<(hOs z)+jE}?4T~HO7d|3M-Ay&=$UNhQ|GLc>U1H6ZMiTx5i}YoBgF#Cm3l`M7(gE91&anc z^%&N|#OTMPmf8tw8Wen{4)x(Uuoyt!9h3e~j*atTkYPPkDX{SDh-f*Kj2& z)CqKCBk>Ux|5%MYo1)svBCBljya_QO=3w?GZlbFng#>)68lS}G2O_ia6Cad~w2mN~ zWQl!@s|hQI{HBIkQjYXadWF9SlBYzHz6Kvj+Z>>hr-9iG`M~pR;zm{&YTevOo}gvD zz=-A&%!%?^!2x-IOX;Jw*ibX{4~4a&1!@zf`$?&8%#t)IAWw|}Jx`A>Ya~Dy^W z@H&Oa@4u*Z6BCNwCIP?`>`q-Q!esXbI@0rd&@DK!Y|U$^u=F46s^IR7X!C>`WTA>o zCEQY|^aap#0o1tgL{OlFS68UUMI*qEYJUANaWhiPb>p5^XHdGT91~R{Gl`3SU?B9& z!>}u}NDpa!ehf9jbE1Ith~SR6TFe7l(@1$6#qx|;f@l^MWJi985-#)67yU27h$i99 z$l?Wr?>q#!opw6Piv=TGaKx-WU2IftNWQ2Yo}LHeB$g%6)z~1d;_6b|k<3#^+);SF z<0mgcKt|d!yovEsD=P?>wSCB=pTVuGxQMy#;!aguTkHi3S2zx%itySEN}ATbdXXK> z9l;_f5y&@HszK3Xlpkbw*?=;;bF?yUPCkp71^X#1yZhPN^z_)Qw=i9n2{gdt*>fsE zi@G5FVpJ9p;(hKJDj@dK`cP!K$GfBj6Zm{~d4 zUv)C5m|0dKH^|Z4KxoEi7QHvm*0d_65s4PZE{nf;u1$KmB;fWSpD`t9j$bDq52vadSp-=&AiYQ?_UvT}()Ju40c84lOm|-M2vKi7 z_uJJ9+>Nkes#aRHuC^##bm|nz@64rS#;cb&4gWdq{RgNNh0Y}m>pK|&&ZL=@AF(xt zX4FEmSS80oqxH8>Xih5v0ehng_csVeI5VoQ+5h0S13wOUHl26G6hJr=SdbPg<5uyLKeiB!QgAJa~Ot1t&42{xcNPAwx6<1P#|P0 z;h0RE=B29nP=C;i&hcsYu=%`k6B8`VbYQ!xbm`)HGM^~2jkYnPv={iuM`$34VQL2A zDU!#A;<&j$P;0;Wl0u^y{LEA$T->h%l3EA%Ja;RNs_y_z)V2%^K~bLiIXXK?3!tKk z4GOes=-t^MFY`*gNZCt*XpY$NmS!Prv8RLFWac^Yg(`aALr?LTxxpUHO5|#KQTv_^ z+%RoEm7Cb|IjD4SOWEVoMwNs5lXgbbP(EVjJ;sg}u0z)zTC{E!&%@=mDEG5Ow^`qZ z{RGlcY15Az5_<&@AqyU~Jh1R-Pt_{nO+n%cz4|zhFdiri+2TzVC4sV0qN;!(o*vlA zk@4=LADr>Amh_$olFUe%^d|5h=Yq|5Ux5nd#hb>fuq!7Ees!|KHkTF?Ma}z&N}76T zJ@`a_lk9;MgZWi^yR|*C4Js_ayD!K@91Pz<+XhCT;IRot z=(PZ*P_?0|p-M)Lm4ii}?Hu!ZzHGsVRwK^Gj}-?6z=i-*>7$=EMlq{Z5ej595pSIB zO8wMNJT=bpe4=2X2o|KB{`x*#F5vahJ(F2&(u1FVyQ1B>gUmOg6mrdz12Q$!u!j>P z7`|}PDE8qGwP!!g36kLHeH+qX9TC&bD?rjtHXFo89o`O(>&ehz%;!s)&f61ZzbpD5S#(m(~d?1We}s|9LsnM8wj&cLIaoJu-f99qJjW5-5;)lbGAcffv(mZdpN$B#T|i8S2T2t!m+wsu(A|0KH) z0cpV90gEPX6Sm8G<h?@h}##ysL(1_4==`Z&05_7sYmD5o>dynXHodqYaNK*{wH5^Dgoy->zL4l;3-!c z-OBoDwN~NY_Grq^1sr&z_6P2784fqK{l{R8TEL15{lb@cVJ0^H?bX)lQ4N#drow*N zyh_97m7CqEbUV$)c&=TmJ`HzmOEc_Nt=^m8H=Ff3_vpCxm<6U>$C()VvRUi+DnthD zx3Vjwo<{7BVzUI2xked30h20O@DgCHjt?;ieWuftexq~R;iN5?|IPWE0i@C!Epqk_ zEr420;Z>y&Akb3tep_|Ld>P-wsk1|ZML`>UDC~?c;_^F`?ZwjGDDpgIof9-pbp>y# zx;;@|cfB&K9l@>+Fou;{6P68JD_yB$&w~f1ny-StKw-kMc)@!bXjXi31_o%)s1-P* zejS}@cq%&KrXim{^8Wk)@kF0j$Nb z28I6G&X)Ff{W~%>4FGZ{7Ip#cc|hOTU@>_ObZ}+ldI{my{W+urqw6kWQ7OBD;!$gk z!*;{c*(bGT0Uo971uf4Oq+bqUYi5C&s}wkHC%vWcaa564wYZF=QdAtPe0Zt}pVR0Z zMo(3tdY)nOX%*jUE+R0LKAp!isvDYma?5I>Nz)_DQ5b1Fm*TZ)^+xu9@A7J*hibXY za%XS%(n5owlVh%G1*8bh31$iO6p3O(2rYzgUNk*nty7@1!qtA{O?~h|%@vhEH?&dn zsM_|W$vT2G9bk@!$q^kvP}mcrF?5u+=uQ3WPeW=-sh=kN+IZzePYN{h=F{pu+fA)%nd5P3wR!t6+H6MKpmJ)GN##P9BoyWXxhB^VS! zIDJtBG>OtZo1Xg|8jWZ93^4{GE{GAvlnMwHDY;9TVDr)*1{$15Mh46NN}!>;iEqGL z>;pSNop}s#mF|(nSau=q1_Q%r!|IlR;s)$&yw+w=l!CDnxem3g#e|R-bc_D88c+BW z%y3-!ji`uC@u}?Sh2)`b_$F47%$K-}0>X6CYPPWr^!2tdUL>W}e9ri4C|0u2z~6B+ ztz9|tjlRGUV;faC4wX(#cprKV8|&0uf^zPn`h+hhoPuhSUS=%NTS1FB3#F?|G{!kF zI@=(Mw8*U2zMrJKS;COy(QRM3EJqO#=FX3E5OMDL^S%1Jhd zTbz2pWTsV@gY0auwQ++`@38dPoI$n}cS5gpM9+CcJiwv--dO4=ErazKZ`O4ZI{2Vj z2v`nO_N-qk|A1(OZ3U>fY^fJHzCo$sqj@9y`-o4{*xw(KTCgXzusgbv&26n@>5;=@ zYinf%k6d;uyG8%u>sAg6PC=eRsLW%)XuFW{^!=naK9Rbgp2I#&YHE)EOwY{H8~;J# z#4L=N_&Ys|%qkOJXQrp{Ig^^2o=#f1xTi4>qr zFAqvQyWb{5u*vq(P~q#yMu#jT%D`m$6GMeRg-mol69`J_<90ed|9$!2BUKnY>5Xoa z<=>}Zcm%1*Vv;uVFQn_BAURr?gx@Os3uu+_E3LvfzrSx%e?Sw*WiOpx_|rp$zcfTg zPX9jhkcHdhj}%%WE`CU%5OFS-;N!Ol3@X`lfw=)6scr>4-ePfy?+y|1PN4xqT&;2$ zYT~^I0g*zGx_!q-YTUr5si3Mg-|^m$Es-2z>f?{pSzGFZIZE692f!>&+Wt@Y^RoR9 z@x)2n@7g%UPP>+}2W=c@N<93T?z@QmD zeVynUc=0revUc<@@~}Wb91Eu0!^0AR8rD1BcjzcDxfBi!bAYhs0R?-;_CPa;Cq}L~ zFqtAs4o-Dy78>W4#<8Q`!eN7>;bFDtB#R-#G_LEGoHk4;K9Yz%1NN%%Ft2XcUchG> zCtROn>j8(Ay~;@qr}Qe-+9A#*S1{lr%2K^~24jhL#aL$8?f^z`!Um@DYIk_}6dqD1 zC;lN;EeMSU|BX$b1FGSqGvYDrruXLar_FK5Yy$y~o2MzS)JA4;SHTKf@8FbA531N& zskFWIW|bE}=+7CVaaWsdtQhcxki=3rZg9wQ=q(|F8;ltqtU*<6UL`c*9fLCF#4xvR z`W?U0#$q0uawn$^e4{;x4hWi=n7|w%GmGiN)a>l|)Z8Tcu$$SN_Z+y{l>6v(9CrmD zA*NKVS3f$~hpN|4sUvl(Bg4Zh55|{I8;j$mj-SoK{L4t7U4l|hn?CH$p z%s3wR3Gm6i`ITA+=8LXZt{yjhnD2294zN+GoYuYPXx0b&fR#5H13(R8eAkW|WbMc@ z(`3Ok!^0ZKOoeP4J5G$pqL2Nkx>p3Jv2z^NT&|sXSbvUm9#vJ(S8QfmWaMWO0679SnYT`_DrH)SCzmNXT z%%JO&lhfmqQ&Z^eB=&?hONA%bp*&Dul z*IU$j1WJ;0oMD^s9pV;Rx;g90klqo+3Q;BL_I$`8T$H`xeO)cZTKQ~bWoKj_6Y%>P zOsz*&w)tgh1{57x+2WVXY=&OS{F0uAG>)un;sq0L`njP>V0J&UQsS3Msp}EH%x31o zd$=PjE1bmTmsKt^PdzD{iXRs_8DJXbojWSXYcf{_@w;-L!aE}TCD&e3YpiRth&C;K#DZ)WPK$~E!7X-AKDI!5Z^Z zguIj7?Shb(kysGIO)_;0Lb%M_G*vC6o=P(W0jUc@&7_iV~n#xRYhUYnqw6ESQFmzKN7$)WNa9Dq)^W7JW`x7M|gUq zI0LnXk^4xo1`G5f0!~!gBk9d7#2MwKJDCZ75n>Yk9w{!LV89gnGsYeXk!Ju)q(ve+ zbnSg&hDSm)(p7j-TrV{!+JXf!a46+6N&Q?`YUe&_zIDatTxMNi`hK+4b)|NskRV4S zWnJkS7QA((g{Wqwn^+;OD}K69{Isr!GtDnbJEbF6otO1Y?TF;Joy5Zk9A^Ub;UA z?Ti=2K=e~#jFm=SaGYkk<^{_c##mlRF%dy)UJ;KenOD?fl;ss)k(qWRulPb>QH;Ty znOCC0Y@Qcnq{(PIl2^in{)dT~S3)OH2js{raxj_lf~Q%YH{=y%d9tvm*pKkPsDNR{ zUQ}R0n8Hmi3I;Nan?>DG;`v2|0-j(kDtv+=kRo`VVb!!K_#_5iRCtz5iWxERM%q+7 z%M!S#d6S`*j?PNW0Rk2kp9++UwRm(`6g8jHJP-!1 zAX8>e8w$-#+YKSW40GCskY+kYA8ZH-XJ?3n8$#SUo)&Eg6HK!b-4OPe<|)pG@Quu# zcBIugCeDtun&wepML1aawpCdV`dXjZVPHM~Wv>>OsgM>0CI3VQa z1OsWFx#U!@X;P3AbWHJRm(!h&&Jc16IjrDv3e()1oT4Y=Fc;7{C-j_TrJ55ur=^6@ zbA|`CoKQLqofPS&&^p6o{F-7X%nLC_DuRL_cu}NgDc)8}fxc^H!2`MUGs9DyZ9%{k z^h3DKH3c=#Ue*Na$uwbeP3b$HORfd|+!mCldGKCS%8%J$P5L>>{ajQ1L}wyx3e|~D zYl`N~gKM^QZ%gx&%*1O#^9e@hngB2%n2~0pR80@*ZXkl`ka(jDq%Q4yE5Ls8(L;?5M65VPtoYGEfCDoST&fk3<{>hkzo z6oSq`j3aFd*)mc{$d+c2EC%9HRD8=rc2S8345+6mBWiH%;7;l^5!BRx+iz zL{=4Nt4>z6!mGoqw4aGt1ZD+J7Kp6s02|D*N+~hhXKn7x3OXivl+7wc@wzRm5lSnk ztU@(L@Gy3>iX^OKvO=s0wxDJMB4&lOOsTBUe3q4JR=6QEOM^mIaSiLvZ3X7seH<@} zF?+Az3`+MHp;yfwQZGZd$r&|v!-fByu^X6wXY3w%XY7Uza^{_}n`a#(?~L7Kl746G zmfg2^#%|(SpwcE2-rzcY4|-S?fb+ctK?+I@rnZn$>3bj~^h$tON?>d;J) z<1{4H5fXi30bz_6uoa@M_i{RBA@E1P?$h)xZh1QchfENi7Y_aGP=DAx9>?aw)9@)H zefCGko1mk(6$%VQM~iT}fh>n#?cl7ty4M^*wNC3@>@b{z4^>0*P#p|jqd2+qx?(yD zg;ppqtjcKMQf=~OeRLAwsM0cLis(d>b*M;Xl}rET>HY-*4OQb9laKgQ9-sVHxm*lg z`Hc~yLtlai6#ao1Iv%dxG&e{9if-i;$@)U!P^1T|igEAIiuXWa3F-Jks7l0iFq>AC zg*JU6SrF0a(8|W`6BPI8xYlus!VtI|x+|^8b+VZ~I#AB7sMFQzTGh%aUDAzH(O1S| zzY0{KMRSleM(SE&L?_X)7xl`~!X(BZw`&WZy?pIL*HI_)5Llc}7lmXE0XQl0c$xw# z3fLlUB7*T}{M?g(6wq-T$_W7;5rk1inY_Hvwi2j=7wwWqAcB!u8~-hIO7c` zwN4Po^oUP{(KkqpigZeE3I@b5Z=T{VAp}RqS*|0$Ewy2Hw4tz-qDYH4P{txZIiVGY zI!PodS2tS$H{fkw5G5xf~`T>D22>~JXBt*2-5;E_OK$na_nNVa`1bOz-V-$Yo zoPi;vq!6lvN`|G?Q9EesEl@V)or`FjH#pSawAMN2Y@RT>)*O&kIv6Y;FENn-)<2g@ zsfRkb3~p0i^Q4CJnuqVd7Tt9Yh=D#;lqYR+2?f@#$m>#Wo#)>?>Wv+WE~Viz*1YP* zhB9|GbJHr$cvnUIutda!wJ$%@5@dffDYgMIdV{J=DCb1d=na$}wr;WVIwD`fZyx=% z)x@=Aee{>5q;86+SJY7iR=>5Mgwa!TD9SvbEk-aCQZ~0@Eq9%(up1kh^dieyKH&xT z&*6G8pJMlFJ5Y=XqtB{Bt+`|=G;oD7v_w`}QrUu2r;eHT`j%ISvB@Z=)c}?t@{9^sbiOb$Lq%6K3pw3}+gT-l7nM6T#~4@=$b#bbOU6An9Md&L z}A@5cN^A!t{yy#1{Fu-mG-PjFf_*tNmG(*=YLm!doQ{yC}fby*jp@!Qg2*tO}6Ett>!+R<@$VImc=kGu(M=Hpr$H;96f z&I=7jqnL1A#WR*JH&mGU@h=_~gXxF5N^D_K=wl0{r?nLV? z%sQ%b|0!XVkK#?_BAVAN#uWG3h_W?YCWAmZNH8S44gs z^}e+-p6)YUr!B`m1NIx-5O|{lw`IV;-NOEE=ssuYF7Mpp!TVMU_Qi*Bo||3UtUPn; zguCa&{M}IAcPQ^K+qZNu?{6v_bUe4WzsRz1<;A000duTtS$?DAxghP`YP^fd@Ab^% znZnmSjW<(xuHDSwFSr`#J)~Pas^3-#f8zuDZItqNV>_;9=SvnZwoE@)$ZzNH9yO!L z`ZHu%e;vC{#uI-K%Q+n59izG00lMNP7GiLBZnE&$QhtexETk@Moy6W|5qp;fO^gP& z_Q#nAkF~Xb;FAObrVw5G0psmv-H(;5@c9Py`!TL4X|_|Ir*18w?TWU(p9D5^9-O-! z#C)RN3CF7$J3klQ03?Ux^Vp0vr8~{M@|&xD^`0JiT_@~41Z!73x>3`|yrykyNzXE* z4O}rTR6`pZdZX=X6{q{oFkCURk%h6i|SC+Hu z>-k)9F}wI^ab-EbRm_!(+vV-;)!bHby-?iR+Qyxw>+9>qmGYzVQgL(Z)8UP^osInJ z=2p45SkA7mAuYf9sJM=tx%_5nrI_E^UN3ELtrfB>>)Xq#<&8X2(cngQC->>_>T;=E z+{v$Gck)Zy`K6_`?c#bVzqI*ib7iZzSjum%EiZ3uZtScqmX@}%#r2)#Vs3S1X?gik zF8}FpVR2`9z4&OoNbLdW)#6evU)(CMY~{;nc{5vDDdn~|Hn$#aXLGA-o8|4bwVm~) zt+jF zy|lJfT3cEEbU0huTH4;+e1t1qSC=+7@|)YG9^{@u9-cqtf4dE-WowB>%JdzyIpt7kWXF z(fJCv;rQQ0)je~X8Vm2=DJ%luo;lN|&WA&V7V7-|UaiZz$7KJ-p~9~t`|ptKjzgKr z^YKvOtH^UcHF()$iVY1F?)HO3R!JuNZw?jyKV?3maWU_vZfUl6;lZvf=i5Vmgz=Zv(NF(ta#z2lZUcl$`QNzO6uL+?z zatuP`<3FpeSN<+=L{ygB|1*e=dzOC_e_po#7d&y#@^|nx%#BJF;WO%qha3CvZdiV6 zZdk_cq#oZOA9t7XVGXzNwtY<8x@RriMGQw@T6&G4%<2F z=*wZTqBR%A;&$A2x7n;CSOQ1sFqf()y3P7N!T}_`Zlz5>uG_lK^S>3p;o~x9ImGd} zEkQQUh}x=EnoBE4l$mB8{?`bruRhM>N^barw<&S~!a&Gr2%SX$pZ7Ya2X?Z%2EN1_ zgRTz?VOsx0ki=&dFd2jQApOU=Fs<8Hpdy7PdFoB(pPVdU>STp&F8%ztMz@W7A5lqD z4_%V{M1NC#pX>z_T+Zm-gWI<$N1vWVKcTuO-p362zN*Qs zhRRWbbUsogCD+iknm10>hZ>~RCxkHrhF|X>J`sJ_|9Y2}lAKvNjvGJ}Hy0{T{X7B) zts|01;%O3B3Ac_bxYk_pa<_dJw56)p9T`bIY1SGEe~fK~K!3wCQj%)5aRWRI;ku?I z?Efvl(p`8uCgFMf7gfL2^|qk3mfG!RJ7|Dcfr*hI#e3?VoWgq>aZwNn1&dU$G0|3n zq#(u$zJif-Q$c3U>?6WNgsFC=hFjE4-Ha3k%66rGdOfg2+6$_-5dKwMO&=hApCdPQ zf^I0>-=(Y55lBiz|LHiWB>1l2R&_2zTHvV&w9rPX0=rlqUQdZUPgNrUuI&OT|3%kt z942})L-_Ck8IPn!)vF?6&G7Bw+qf9M*-kX{`@Wo2Ng4=}-ZRdEFX+&I9eii{yV&#^ z&{Y(yhJ+MK%O6F6EBY$c^9}0KVPw!>ebortmKx25KN9YyYExMVamRhFTVrs+I(3yu z3IvgPFs?PdZ}{z|uTIMdxcfR4*Nr?yEOn-YgIZj2LTnaL4bJ5Vk^|LxGTwYV-hufN zn-qwjL)y8EkuxBsq9IO=>=RNtO3?)f;+ok+!5N66;+hWTH>DIB2?!}Ek%mO4n!0vt zT*Y1>7+NVyM|CA&mY*T(0U%M74d!#(MHB-4??^XRNXw+#D3tXapoY0YW z6iLdAd>o@|c0HfOhiHSApZlYT%6154cI0KoiJ$s2S1eFO7l#u9?u)|*o#&(ZMXK}l zb~h2m7U-g2UaUQ<;WGH{G0p=W9ecR%T|<7J#0!OAE0Z|gKnI=oj>80o_Q1cBjl_4t z#hs(1DywD)JBKGxB_x)lKFwoNXo0zGVJXPm6XPK<>~UjP-|d()U{yfV6}GuRcXeKH5v~*WTaSUm~hgx zL7E6eTGd31X4!ZZAQM{f>{0i`#|%TpS`u@NO&yO%VyTpq_2kT$kd117YT=2qLjMW- zp;H9CjhLEJ$(-@S1@EbbXBmD@-t*&1ms}khSfyja1#5i`g9$~gBtej&0iBNsJz>s* z0%Ya-KU(k(aBldpf<+d@a}Qb{IYaZ`gSKBWP_PViD2U~AXw2GSW3=lXH8EH=y~h>s zI)Q=OxgJ8WCR-rTSYM?&UBm`#r=GVlUrdak$pxKn;Y){~Hb&sGNq_`{6BY7b)VhhZ zE2Esvno?=w*S5?*Iw}}p__8yCQvFjT=$}J4k2|N!Ie**!Gb~G6eJW8o_Q^S<)@)ST zXMHkKR?1EGM-N2Ab+|pDcRj+$W2fIrPaB@KT>l|37>09vtVA-G?oBS6W|4 zT4}Ybm0gacZ%N;p0WUDb0N`^MSDFieAa*by2tXvSaA{~b7!pGcX0S5@kk}RFNOp>U zB(6B6S4vi;lKhbptCm&gs*qPoF+#r(NCMY^oequCS67H)gkYI{Uh2x6P`cEG4Z= z9co3MTC0o}SA=5h?$x%}5fK^FPOJq8Y3{7c^`;3NYuP58Rb3W#6f_zkdL_cqFx&{l zFnyH)kmKjlK0}PGMbQ7Mn4Kx{% zobhJoUUpjW-bx5L+Xj(|1^{Na+Ne|^GVt{lCM^EJh@Ts|Zi`{p_93i)>GN-*68;TTY`}g z6^RiE2;hhRsx6_tZpa>!+qS`YDN(~j36B~zl4{fe5NH*N(P&izm||@x*V|2~)G`t) zfqpbn8pyLRg0G0q7kSObF9nOu<_=(}^2=QsR{wVGF%~~t*KW{Q-u~%iv#3g4h;32+ z%i^l^kn^lCj7>C^N#d?N^j?er*h#T{By(TSiZZPV|U) z(2n$IoS-fV!wPa644Cm4W>N?*J1M)j&C0e0X0fN1YBxfqlwCA3l9kf_2AkUn>iQrr z8C>ejA8elcaQOYec^|J}=OYl3kOMt?9S7w9?ni$3<@tS3c@nQL98c|A;yikPx9swXMZrI&5Q{(C@U*peG%Nl|wx z_;|O5GY>93c5X%V68msNH0$m3cE#!^wF>58p}t%d;tPV(WnF>3TSv{5$=ieWF-k$$-~oy$D=ETEb@}JRIL7!CKKcf0aBGk$?!#M{RWL6Q$6hS41l-=KV-Kpx1}>@b z%lna-(JHyeU1|mj3Dex`YLNY)J%SBy@PYI^)G+-GFG*Y51eyfG`nb`sF9i+}mH?!X zs!Bvp1NQs?bnBmiES!)eda#xai9i(vFh}G7CjR_l)W#62g>l{@litDE4HUS?b>`+E zC5(xkv~d(~j>?xN{f zr4IWK_cyZR36T@k8}0jWMhT111}I45@LgBfofueHg*?lfg@)FmhUbc726^lT$ zXJk!`AEOY$0SHne%CBuU+SBMjg4j4x#uD#z)T+n|wxPuMa6beY0_^0pLaDZiU7{fX z_+M+-S$WnlV zny`CD{wURG2Xq|~e(|upu07pgGv;gWb`U(zl#^9Od4@wawiau_dy10~QEo8$z=}MU zL#OP>*csP;lrNHU?l#SdPK%-{xiH(Nlp~Z6HdWR|W&vA^{22mzW36o(S9n{_myQnD zrC^ofS;nLNrGW&;cx6a|c1NWkA(+ANA&6vtS$sMf@4>x~<@?D#0K@12Z0!d)!VA%+ zM}i@EnJf)63JZ3GmQEeNi3+7=M0RuBAZMw)|kaXluq#NP+Td~YVq z2zPqX?!=I+$MClGaA_iBeP`N^zVd0qqR~a&8@`Gm>9m>UmgDRsv28nMCdtg?_cv;; zToMB*yD(*8a7!6Np59A5RHFro+=}us>lB#?EVNZ_Zz+vIU)vyGC0hvRh|?0|rlfTX z!L8-yaLKg4>2|>M@Zs*m^V&ffe=#CbvKF4w!Y=_0QHJEMBt|M{GU~+P*D!KPJMVl6 zjE)vv^ZaVzuw@3wx`z{hi^wD#p-TiV7QKsWA?J#|XiPDzJ9ALo`R;Y+52`!Uz3$pU zbqn3=E*(^N$*&vt;z>$@A8$NwG+#8tt&jRYjI+=vJjGFt8M{wHK|a{s*jS;thbLK2 zc5%j8rC*`)Ht5NN4A1Bpaw_JlPdZ&w9EV5FN|`*)SfJs5Du-1cyK|=SC@;bmloj#6 z{x^0;u5h*EN^V3e7!fbz^d@Ek)_z-EY7H|iJiHL`E+%PYWaHeQn3YsYdTyhL@=C)M z`-Eu+=9&2}1$S|mvlxVsVPfS80<{r9HpUE+Wj$Pv+w@&X>Natm z!xGc@=51P~#`TE>!eb6PbcN>tay$vyN0YCdw8r)b1_O~b9OsJO{>(OylHQ2oYaY*O zA{`=$YNmpScZvOI9Bd3`VhcB00;joJ5L___2HO|>OFVsNl>P6$PviU4tzM{!1`p(c@?X#^M0y{3#G^-SjTlx;PG^pFm1|kI$@uie0%9 zJdgJN@N8!|L~Ie2db92J`|LWzVH3fLv9cOhA3pT^)W&PO2hj>E)e1}jGC%DBd^l}F zaez~Fkl4iaW=-;+5d^9Mdd-Am`Cw(hv~Oy zTJUhH>Vc>sG$v2$)8jkzL3LI5k`0{wrW`n35Cq-phZtj{Cxq7 zq#ops1n_);9gQqv1`=t|8^i*m3yG($8BW$pW$V{|TqFe?=}^SgUnd`Dt-+Sq-NGcA zMzJ{VKG?CD1xxy6X41Z0! zzvo9_F7jXK!*JHIb?J>=Iw+a|(c8c#S3J|A4>xR321Ky@>jGNJ7;cdwsa*0#*u&*i zJ=5$Er@$24yh5TL7VB>U;o??E{y$-S3r;BgpnsCb9rFTp&qr{Pq8CpVA^k!>I1!|% zg@@)V1WG7k@n$sG#f1bXFJW}Chj(U5TcL2=!o~?ab}n+fdfY8>1cI_lxV7(HsIo2} zX6j232ruFz)Kn}nXsKCns{+_hic@fq!AYz~5M<%50$Yxa=XkD9qJk*_GZma`z=AS< zH))5?*xq3j+~od`KcK&kcaa znh0wqfPw+cnj0d~R_DKV{(!VerGx&3eqs9^KxIJCKWzPU=&WE1<2DQtCnyjKcCW%} zVL5ZckJUG|GpU8Kqw9ebR*AAOpZI@@HubAJe8(+vxS8s!^I?VF1L)rQLtwjaOeYHV z?j!^Wr%-w!W!w;=BW-Bot16RqpTg|n7l-C zjoYKR2oIZ;=aPWdDRz-NY_cW1UEur@DK5=j@oM6hLUy(f>^K0EA#oOFvkwsm%h;04MSba(Aaet$cG*FDzW1|ivC2)oC?Q1K!-S^e`RDy8AbI=ZPI_$Hm}<9N(yht$pp#j-#q_j zZ6`uCbIaW7dD_l~1^0480ovD&!U_X)_NcDU{3oWinaUv!P5+{pl!tue8bS4AGzAKY zU=N(b0g9ZM(E0}-K%5mKZPhWF0kxsyGb`GTmkJ9@#|;(p+K)Au+1S`F!^FOkF(+>D z;IBS`ZL+vA0;?Ln0?mWWW#n3&F3ilY`N*(Eg0HD-#Ye%a@d9;k%B{yW+=Xh@ z>id38>mnX}O^y*h3W5Tzq&#hy8w{9&_62aEXP4lzvid(;{KfvILs8zjO$Fr_me<3oekm}#L?-}~8aQ0G-xJl}OI6n|`p6K`6D+JGn&<&HK-*$hw%v*~bx4&Fy_j!6)Zav+@ z5bW1=-f-tEQ}+k@9oSdAAn3*Lq?`5zYWtPV5ew_vTK;PboA0sGg%HqTyFMhmkaX4X zH(?rf!!^&!T%KYzWyLz6nj=xHu6yocv$*ltV6wg{4cBNxMu3tb@HS3HSpCz;f_N(gTF8+Z*nz z#J?2!m}M`9=I9)lox44MXQ7DT$jkRu5JdRFC%(g3f?sUq?l3KB1|?Za|LwetHD(`! z$<+qqH5oO6*caWVLrR;vdd6C`E)Resr-x<+V~B&bM>=s?j*1Q2%VWTpC#PaV@ZKDC z6iKrZN02@nRB(F^h*tb05$7{B_%130F(ExEm}pOw?+_&4``~z@l1jMHzn)8EgiV~Y z?aWrS@?3PJq~c5`3al<;jG}0#hH*Zl_;HI9B%%>Dwvbx|a|GD+9bX_)H+v0{Od+&P0 zThUqm&>)NcI9Asp42tRwWBj|kh;O1WB#AzQO(udsiG%tF*bM?gn@bN?7EUSGN{CAC zWw4RdL=5V;N^YxQN07EzH2iIN+w=ZKzeDF%?z8HcgOw)IXYC*=1vak;U&iZJzPtLj z*dKR{EWI0frFs%L%b!0XbGacHM6Gmn9Wu(~GLWHHJ+QaHNiNx&x|wdxL#+%Vthw8< zk!D0TnC-iD)4CLdun?gM7t>nJ7Ycxu!dQS2b#hgYVlrzBy^j?oY?R?N4`(Tr#Hen{DL!PG#>qTcGpYSgo8bPstDq2&@I0rV*BiU|V z%oc&rF_^fhr2^@#QQ>P))ihLV2mzxVjuaGc=J1K!%Ti}%(`sV1MYCS3-fJ|g$3fBN zq9qRUp7yR;Dyv&uD36GPs(oYyh4YYJJ<9bojyL_!8-d_QaGGAU_frp$lW8^{4nj=T zd4m|YWaxk{)9b}n6B9&yYNbty`eJWI>Z;Jy-5VZ@RY2q{#eIX8#Ik~!a!UfbLD(xk z*sf`M-|}`>&~JIG|MXkl ziRpeTgc?M@H9Q?X!h7MGqXsFegUV{*G)Ty1+=C45z+7*t8bFClj#iGYHwge2v7Crk zv#A(WucK?FI5J!Q3Y+!BA@zPY*TQbU5sAo-dcy2zQZWWB#8N0o^fcQjBQv~SAYvqx zjNuBFv$qdkwf{|^P$q;L*0opt!He$S0TUSav zf~eO5_<b4CM~Z73S_5khBL=Exn3g|+l+>!ypp}(I z6r|1h^!0^t*P~>dd4pt}Nh9M7$ta`jhlKI&zxyP-mLTEM8zkXU8VQ#MB4NDy?>-5y zCrEhr4U+I~8VT-3=3t^#N2NJyP$H__36q8k9aWPGu*&bw1 zksQHWN5(g6L^FHsLs`a-WUcUxVbN`_($t@trzu(BVVBC4gNT;o2+p~3Ak*#}C93sg5`MCW*(MCxk-Flh zuT5;)fZjS8+0CSzGPvH`*^~+=qKO?y+4RlrAe5a+8_Tx|Wm9&!Y1lXkZRSAArtf(N zq3lxHSiVgt%grxOY@G@5ZW=P)2w~HA!h;Ytbu8Z|giYHLpBd89K_PZ3)tgK}`Z^XCkFYIb)@2>zYAAnwA)BFqYp+fDe9RzqX`i5b>9q7j$TV0{+> z;?!mu@*m}K`7rW0We6cuBK%w|zbj(d=+cITpk|D8(UVhn;-rjER!sL|?9!l&O);G^ zhI77tr=@jY?7dRu9lgEkX>0}Utv;32E}%{1ij{0$5Jwo%fDrg`KV;F4Zw0A&W)SbT z0fhd_pnJ(Q1ca@g3;efuKZ)(B)4pj0nVybitu*$MFrz{=j1Gw(F{!{;N)C;gJt4L$ zjhF>3Po0Kd-(ylaRo|afA#Wp*UO1^-S)H7*Nj2!cAPoUw!{?Lg9hp?z3LJe>87H7{ zQn?*QWKu0QE9LrZZ3lPF7MM^ei(6+Wvb(S*Qe1-O8dYbz2yM@XVOB%SL3UPcuENq- zbQWh9LhkOzfSEd$5X4(BL8P+>-a7_~`n-0GlJ;hC%JMsu|h0SXu8i>EtG&wJ6S2bPz7{R{LRgHoC@igNUM&Ecm5?Mub z@ff-CF^%#hHUFYUA%sE!tmS4M@g6(-xVv9IEpBg1%e>85M$miH0mfrMs8QS>&#o>n zd*cG{<3Y%{{qTO5v4ud0jx)Z=md-|qYK2Bsol$*tdMx(N*9zoZW_UyGCDY%^0GpXx zu6zXOKD~*a*Ft#-N<#y7_nUQ$qu>JJlCHIzIQJ7%7qA4aKuPls@ zURlqw=#_zq-7DkU&%Hu8PVx#7P;v}7F7?U?pk$$YIR5uaCC~T0M(^E?l#M%i_$8Mj zCF6cRe#x0g$+)kVU-C|*WZZ$#FNquy(J_VhG9tywFB8R5FmyKx&b#E{16zug@^16^ zrDmd~ylY#2sXNh9-u*nk6fbFd{r7HR`lXhlrP!~OG4k5A2g|!x?Ze_7d#{ui13*i? zGS|zo+~{mSF^P^AM6utjRhWRF+}fuaQ$dJbM1S3tN6=@g?MkbLXuT$thGt3FZdMt! z2T^95^-v)9km}LVgjJ45hI0gx&w{=0lxq?(nGV**g5V9}WMT+NPz00ep5X{*tL??| z<0`@)G!RZiLK@|sSNG!@3ryhaw&2wnKI$*h zMhr>>|6I?^;4d>O|G0nkOLl2wCOdt1wl|OuxQ5^`7u1+f)3n@D@ zV!p~Z0}c=Q(>At*FO__SfB7W?i^vvTdo%!8qPq%R4xR*^YL-1Via&?JjIEX}UWB_@M@IWleob`0^(d37=;^?PNwh{*FVV!sox{&GlEU-$rDz ztVTIB0kEp^wZMk1D^-R{9mKv15bErpdk?P8mxoGO)R8!Mwt@KC?+U-VQ2Ip#@rx9W zuOhDSM?uc&&Kn^}{cru+vt&CEJ!N{nk)v2tDWq)JR)fym+yA zH3ev_RO#1;N`D1CjWq7977p647JoxyGrBHDlrvZEe<}V!44StRxKcaCpV1(Sj_CGP z>91TU{dXAUmwjw#Q*o^QVd+cpo_lMP1z7yk#h-uu@Q?c7VrrW$S^D%s>8Ii(j;j=| z@V%kZV>JKI_<&QCGFSe+3#A`6)N?3I>U*yEk6b9-Lh%S)JdMDXEB=?o|5<};I-tHL zXN#5o+ED2?6d(l1>o{aZjzDpBJM{?!Ym^*ACuMaRM{{zCEJNJC^C+@BjN{TfEiN$7f- zRAw#I((X{{UzCuVfA?Tn_N;ONAvGfcCN7Oqio|7*7K!kUCrtD$qied}`}~qp*%Jo( zHf3fSB&F2$CcnOAluI}1y8<**Jq4gQ!}V<{6GZAqFdCoF3gnnCfhAQMXy$&YDJmW((%ur#8y)I_ekoqBb67~sl` zRLY!>qsZ9Ne3A=_yUj7EwhidF&0W3(7#xeTK@Gd^w~__-6bd7fL&mm-*q*RqOEx^! zsO!5-P^b-?%nf7uzSckqBo{#^bHT@D4TfpQR;lhFpB4cGoA+%dJjl=hl@g zFJ8RJRoahh&0PCgXE#^f+|5-QSMVF0dqtRR<_c;|4pxK2n#gT+wo!E|i4q+srs!4; z|J4z(us7#{X)(FQZc%M~b06ushKJj`kDnlQD>4aH>aZx{=5z3|^jhbe8T-}IiTr4O zd@O$x<395-h<%C3>(Dlau%?=|zaUPwkhj?cC~jA3j4wP~C@fZyA*@BK!^Hyf&R<;N z#}Yqg`7y(fIey&Z$2>po@MD1=i~K0^qr{Kf{8;A4DnHiv@qizn@ZcMyIgal$QheejzTVTv zH?HFQoGCtq@AFb*>PBc3RI`G7qW=PTioh1|J)fIo8;kOF{2IO%St6gi$`U1fNAC#s zwv@=T#mEhoaE2$#Fv1~M6%IMXd?h*z z9OC1;_KNtpshuJ|rnF5WWKy3JBU4(I7|BnLr?yFa4>M-@s#v21vq?EV-GoeJY~N*EIeg3VggMO7zfS{=wK(@U~lGb z5ULE;6A3qS*VtE%7GGIHD3F`5LckQ@Xm8|hvH(YWGk4w2ay+%8m9mchGTNKkZH^X9 zW#@e!;sB61$8P5GWLl2a6yRv_ltbib@s)_>Xwj;j2{&_-1jf;#Kwd_>;0AjQkMNd* z1*_OOK9Rdg44L`NuN>>u+)b7xWf}P%Updz6Dz7+J2E)fwQubzUiWnee<*6O34E3t^ zjzh)x1V5zgwcI4}!?9k?UE`>9=4lBI7LVB(4i;Zon1e+F>^Mn#RaugQMS)2S_LyVY zdkY}Hnh4|DyspGtiISS}xV=+iZQ7rL(lzV}*t$kkrvAoVf~0NSEO*M#DJWdbNsfGn zpkv5q9RD$NjGWx8YOF`8nMoLX-tpB;#ZF;G`*cNjxu*m0&aM#b~g(*?cl> zlONg+A2&8EJi!VHh|Hml&2noKJEgsv>^TM@WMl|>T47r_?tde66t$2r*vuWaMeN6nQhTZO`M7XP2-tcSVDatL-9*oBq33&SS4hFxBO7)L<`JKGj= ze18+$ZZMZQ^D}%VPajvY@i%$j!<;SM1xD(a6|V8x0TMLId+PZu)Oc3Ze6NW!VZL%X`!+rB3JcOO-Ug-NanA}1FETrD21||wPI8*BH#;)I zJjxTEFR~s)W~>#U(L_=ghS)demsSh53Y%dBV^QqEo}}p0{WmG!{z^vLj=C|gh@j_6 z|4QC+=wb~T4W7{y!>%DWNHp6A3u(pm+9TA>KEq7YDIOULr=$o^|EZCm<2Vu}95X8w z+(}Q&lb!Z`KsP2H&+KFQ;=q5qK~J%?cy<=wm!nq`-JtiX)Bn2@hE7-D4IaWYF&i|k zlr zY$K_q^QN@NQIMIbMJG&AAhlEG&f2L)(T=UJK<VyEc&#(69yE0?y~8rJV=PY zxb%w%zuq##_NNQ-AbRA?>UmUzn8&IJ?!fX-8O4HLLS13w=PUw#2r!_Yx?c(+RHn#D zhk@Xs

GfVzu$Kvt<#5SwWRA##K6LF`e+*%eyA~pBB;#Ra_iz%k$1?zPxBPZiKZUo=I^q&Ya(9{1M}8~=wF+p9Smw1| z2vy)(-Z>W3l|X3X34gyz`29oK5!qFz%kmuKRO&W0tO>~S!vTXO(2D~lr%r7Z<|uCr z3C6gW2RLP&;Bw%47Y>V8CP#yq6SqAC_6I4`ay_$*PGtZSXUSP{*_Q6o2%$3&uQ?&F z1Z-a>mb4Yx{!U}XNzAN?Gc~g=2}+_<3(f}}o$cQylPg`z>N>Z4#ptk;%2~XO($r(7 zh$dx4fzC#e0&>F`YO+cKo{K^neyD^y#B52<%ypeqV}NUC5hku(q~5?>a@#bwOr5E@ z6q`!$R6EN2fkFtYjaqk9tU_Tk#_$|W2Jm+4Y{9LJ`x#t$VcG~Rg_MaDh{!+=Kcda* zPE{P?U@1Z|;b@aeHK4tjE4sp_otXEDJ!D4Yt& z0Jq?zs8H#;=eMY^D_cz*Gq9+3fbLv|+uF5l2;p+0+T3l6@0qSODQ3Bz`%-NuMfK(0 zr4Vw9QF%wDAEVlbL+Zae6tmB6RpF#q>FD+p^YJ+c>u*CjWXXWrXg0={Z0hD3Qi>y+ zJ+3b8R<@XG9sVOal#smH{D?NyhD&9AGg!L22HO}g*+NZnfFZ4HEZM9c2$+$&-N9EC zZWf1W3T}HBLLPv6cL+RzO&$)*bGh7CgDk8xFX(2fAg1vaY^9K!lDwB40J;kWG%QY? zX3O5g)76aFFoZ!Us)66s36#Q)-0QqOdEjA+(@_?$%A1?wHH-KQ+PZ8w8aUE2$uDH* z54D8WNIHzNQp6P(Jr3(Af3rQA4(bCco|K^-0rSI+y@e+pO7MYj;wul0U*GgQYv-{vs?kAx!oQ34OFw7X>Ou* z-91S6-3G!;Kxgnsh1FGG>In-jq*xhG{&=^K(+uOk+wbX%PlP!1g6ChV$R1N0fjHGt zi?a^h9&`8rBj4lDBQKBq8X)eGQsfRkoJ|xv?$kpoc z!yBm{f5=lARQEM^?S-u4IE^_KI};X)-n%9@f0w`Qj$0n}n6*LoY1=fnK5GFb=QP>y@pj$+zSNKYH=QIhlpI>p0RXL80=J)%9GJlwy~O!LWm6~=Xt zA)H!WH;Zp#YKfFR*tGtZ&aJ3bz}ly~u7a{#_sr5}$vTEf6fS1A6L!5xE@G)AxOfQ= ztcJRJ9iKIR0$O~0=-SM|=U2vT(%kG*^e9LrX<8vT`X6H{=Jam;!U!l`60sH+Z?!81$y$8R>0T8;H^M)mjmfJi}wV_ve z=!rGocq@zsRor^y(eR6{8otOuxV!S#^*oe7D&C!!vvMzFX?L5WSF@p@lJ+q%q<1$g zXr<)-C-v$_&0PKP;VS$O!#fAZ)fL0aslVIB2(bWdV!W!)Dw*(`W#nr~nazkf&zk(HqRihZ$`nPSDts&)~9b8zhmLcTT;jWgW6!jS{+ywECo>grCuI<;IaY3J7P zb02dX?)lVx%uit}_jWt2`-)LF^SX7(iEW{*ueuMSn{Jg3;?%6^vGhK{#f^<^-0#`g zxTyD+ZP;BzZEieuXPXj&VHzQ3*Jf7=D~l_OcV^cLh57sUS7vYDUtU~Up1*T{b>Wl6 znfb!n{d@C^%Xb#=WMy^!e&P1)!s5!xgT=*9hYKt7pUmRP!phS9wb_Na+2X=tp;*A* z{L1o!2XhY!g|$0#D}~#D{mE=$arXY=^73k7Zh57!_UZ8aorSe~rG+{Cx3ai!uP}e7 z@X6Zz{QT_wPi~{+>L<%{pUmG|T%EsDT$r7`f9Kx(9GWl87guKQeL9Set}Q+&&d(K> z=jWDJA1tpeKbT)ZyYmn3EY8iW7D|Pc)lU}Zm*>#oJ2Uh1rP;;%x0mnSnOmCsbaK*X6J7gRz7*KcxP$;!Tq(;JiwJ!i>r(COXxspxlmfXw{m}FxiGi5@(F;g7Vdnq z^6BtuX>soM>fBnPbZ@qBzgYO>{`}(H?Cr%nD7&_Df4*>kW_f-VJzBY4n8UDVXBSuR zFE11p3v&yf4&MPH3v=^JD|mw*+?ky(EUv5;RtpO&g;HsLVR3$Dc6o93-pYfy)s@+~ zwN>1bEfnqpCHFCIbmiXC%3QIqGIwuf=>cBN&Mjcvi^Y|~{K6dQuvVCzU%vNXb#W26 zTq|CbEtWMJP4oU3I3dS>cI$|ii=$zd(UlNc$(Ge{WvrpwR{eZm9}~s_ zyFzE-nw~Ns4Fr1k=cN~J-ObyM>g6t1<9+9iDV3DtFTHO%Q5%)ZZFw6XWUa6mlIPY;B*$ zdZn;oDz^Ws_4kpoBm3}2kkF&cq_JdmX?13XN}nJL&*wFnjE8Sm;^&7-zlsvy6EEQk z{Mu0Izd?boXo23d%vJimq0;vwna~e*@2V|Y{Q2Uqr*trH-ByFRg$BQT*-VAHIJ0edtU4gv5bp75|0T55I%GWnfYFc(wQ^9co;|4sPiOE|jtu zrNNym;Cfd2@Iq-C1uhyi^oP9SUo8F?n%4`%O)mLX=Cs}jr=PX7;e#NuC7!c(W0P}blA1fZE@q>9B$0i=fX-uH;XA^k#Wkp&F z+3<28jBfp$N#MgwP>x8g-v!o?!{;C3pI5E_1E0v@^F7P^NTbndRm+{_Rx|tX_mK1F zQZROT3}>E9y>ctq?K~N~!6(R!5X>}p_Qj+cWGf@M2%1Oci}5@nX8*)i?O6>`p@L7! z&C%fNwQ4YnyWbL(k6+rjuKP5YDK`m(QD6l~n~wjypu3slbIDfn1lbUIG%Eo|a8}Fn zs^xtopeVUga%Z-~TeTW87O@49!y-VM6c$FN1|&K$H9uaRMNnx3m2Fqqf;;%FH7ZCg zqp4k3Nm?}pb7w7&&#<4y1*pM|;7z%pQ`xFkkYeU3Z$o1gdOtb+;x$obYzD>N^qVr|>nd$|ERnSFe!B7!B;GCx~rOd^CDR|AgvwcY8Cw3w%v=C0D zP6wxn$(Uf;yV-=H7uUc`oQX8u05&ujDd=9fz|OEaaJQt`q4Pq25K zEfi)K=T>J|Z_AHW{l5HQbqPD)+cWm@kH@!>0@OZ)71hQZ)G1~fAAyeie_~0LXu#UCnOf8Bo7`bTMnp8fpLXFk(@w#Ro|+9Qi<>mTDW*4_UL|GaAb9zL<|er|bx zcBxRVWFLO%N6%N>Gqd7C>TA|3Z;^G;k3)AxUSt;?12pslDtraYpN)#%?@AiWjW#^Y z6;{{M^pzB1>TvnCt|Mp4@bDarZuMJ;Ub@+Sy#HhQYm*2DxGjr)vsHsqRj!X!Hrw{a zai=BFrBy@0aVl)nTdfgrOCh&3fBb zf!?=ULFgA*I%Pr^DwQmx4&ufg_iE{_jfI(+F#VqDRho%V${e`L9#lY}*j2vM+K)(Z zk>AK?$K)H8s*V*>Z3IqXup&GSz6S9fR-k-tm1|Jv1dVg87UBnAlz&FOA+Vwi#RDyn zQc{97Fkp}$<7Yf~Q5PG+t=1vfW8Ha<$azQY%=5vzQhh1u9>ej4qnD8z?pQ$*%zbi) zD99VkG6N<75`@V%B*@tGQnP`Se>lC|z`8)c(f#S$<$4>>sxOh3Vk1%bM3`)O_c2rV z3Aal`ACUHGwd3@w4e@p*ZA^cliS1U8NfC)KpWPs6i{kmhDeB=+*#V5;qlOw7Q5jMq z^48s6N3|qgla*7-xS)IF)73K3vQ zYTuG^YL?dL)qOGu6?oVub}RL2vs2rw23b8V7|}GHHP{BkX}i7CM0Oc$k%eBYS@s4_ zDc0q0p(A;JWVhWKgCAgxnP7bsoy2^T$%k2yd7hz?t}GPJqUYdneYTDg8YVlckF&&t zKyjcT+f#v2=7-=|Dh;5PQjqMJkAYOMegO}@|2VZFzX0k{e7GU_{FU0MU%+eBf1KK= zUjX$)*1J}djF{SXvY6L{=w!BH+1X6{4MG+WZ)y=nzb`;W7+UV^`(U8UwGbt&66Fx@2peFoBQ*GGV9$?+2_pMVoE|z@qo$xX5ys&41^LWr3vy_a=oWBx zF2v=?_bnIV=kgmMC*zX0l;tK~jI(k&Jgef_BAqoR#lVJJ13LR5e}rM1>1)j}_X2gxu&$O}m^Zf{ZnWHG>STPMm>v00#&Z+6E|bq)y~*!+M3o!kKaWx@XdI;cWsqPNP*4e(8308-Z^&nUlE5YaET0>n zIsnSN_T~BwLYb5vjY~JK;R(7iF(v<8n>YZ@n)YTK13@LEffPW@(S23!5 zE`Pl@m>EG0DowI={DTg$6M%|;Zs;!qcjD>+umnMhX7oY^s6)G|aBfI1Cl0{Sj9>_T zxyD++D@Qe+n^L?G20I9pvAZ`9=#pRw`S*^9?RiBL#wLIq3xR7ud-P{gNO=7K7Md3f zp}2zK$S?*2L4aPvC;77Xu;vXDk)e-(>3PFLN8{)<%R&#CKnCbFnHvY5CggK6cLU$^!k*xF z3>VKKQuJ*;cT-AUlbOu7S{G9SW%RAqC1jst)~^e&8v@|EaNErsCB-$F=Qkjw_?-mP zw>NT}qBnC_@kHNhT`i+;wJsq)GN%4;@$>zU+$G%wW+jGwo}=F^(+A0TXlCXMGi&p> z@VYiXgO4?Yalpq+VXd&n|L_!i;MQ$*3SQ5wy}-!`9%t5S^-jiwMU`9DSwL4`BK=8U zBt9}Oq=#wS*Q2J_TDw&r{_!{GbIo*OsJ)h@6yIGqP`9=vGo4T%>jQ^pczZ*#owneb ziv5xfuCLLNj*8&Srws&lFqExW%3{xV{FJREDT_yzvWI9p>R6s2?XkD#WB-klw%h0u zr1c)~2+xG^0OMO?bBBNY)CPQ?70pBr>3x{?51Pscwdmy5F%9^v&SoLGcMk*OUJq9< z+*`ViB?1e=b!aV9x$D#vuVV?ps)A)Kj}>Vum**;C{<($~4y(yzZi??Fb62U@PC<>s zI%eKs$)oyo6$=!gOyu&{phYQ6*D!0|zydglrtp?pAyhC^_8Jy0U(VFE1z_!Pk5A2UYN zVe<~%VBZWQh@aT}Uezt*x1i=E=?N`EK!J67!Tc~)v%f4KPJ>xT$c!{|j24DR{wmjXl(Vijv@b+5*XUw!@XbEXPZNc*DnCx%M* zP{}}p%4y#ef3#Q&pNBPy_2Mr&P*hP}g+E{XtF8i=#6AD(#ee)7VT=Cn#DJdt4+tD! zo5n!&x8Hw#;`KXH1+7PaTM(uKdlxByUdeA0Ac)0GB!bo-pmzvU@K5m1tJWXlli`6P zp`o%5Z+!VYSizYIR&Z$;k%6kgc5`!AVW0bk%M?a8QR~t9}fW#8I|PV z%KZjQC<9`-v2R1N_<@JggC!vB&`R|Q;zQxCeEZh$@Ou8yEgZvCzWE$ss!BPDd+>2{ zt2G+j$pzW`&6`srh(m?TwR5*&IO>!GCbJ^e?11F~E`n-^5RMN)k1B`~&p0tva}3-@ zDn@FWxWrwk)Hd5_5xAz!b@CcQX5r%|u6nIcpf7iJaSeS{JF>dlKqM{nV`6+fKN76& z?nqn&y&HyFnHQy$ZA~ zD%x(2*sv<-mc_{MaEOvyL8JNtS86+3P2htF?VuBF^aFQ`1%I_C_)aFx5mY5uKoEkN zX5$IJU}VASK2kiDn)Tsf3`ZLj?zp}vy)h$BPZ_G z>(KQ&dOzW`A>@?!@6Dg3WHDldX-61XqGsM=nE7&q;p5){nSCe;VCdR4xPk~uYE#OKsYkSo;RL~_MtLSo_?**8Z+R{Y|Yu@})TJ{jf2e2YvBa>e@P9>tGy&N>yYGX4i>p|rr+-&BSiw$MD+nbAQ+i|$O548=guG$8*msT~0s6U&q z;AOGxiE~Fp@@dsm;aX46baMJEsuYOUY3vK4SjcY5m={QZvhsvWMH;m#=*twbdeG=k zN!I{RAih+nZaa3@j`tXQmNt@+lhi`uvp|2_L@^!$dvT5BZmQ~us(tZY8icsSU5;%5 zjg$(*@}Tt-pHwl&&UjiH!%@>>RnTb0^pqm;H)lC~LO_y2)WIs5R3U~}#{0%tZa z6{~8@w*uU~sTF@p^Bg!pkzKbdH(C7p>xbW~Mt^^}uE3uv{`_l6i{SxE8=0%{OU1uP zQ~v+k-%y^_FTlP}d%hilK7koM#6hI%`aY%0`hpoe4(O^BH1>T4BaVP?{Zn)tR{sAF z|Ga8_=7CuGhb3O|8Uw3lAATp=KF;+Z3Z0JJh{Y&IhSvh?k? zD$wE(Ha{oEyfBFY=E5HA=WQ3q6HyDBST!0*SI~*5dJ@hPkhdZ3YCEvyZ#U~zn9NXD zBA2yCpjD&p%yt%=TNOB@h?E@FRykdW;?Y=f4|ovoN|4KweNkV2Vdf>=hHyk(+266+o08f%9r zrWLI%lFd{MI|ut5x=8G`%X?K~U1DfzVO^VUd1I01c0(13)(hg_LDX5X=0^I3P<1&* zwliBUb{}Pd1!lE?m^Im1`P?b15dfjm$}*A+%d2DSiP^w)B3j4RbDOc;(`qOC3@#6R zWBY?vEb|1NW$uh@h&_1OyfD5ygz}10#+0HJwIP3cC zb;s>4!#+hvln&~-4Smq6ifu8fY z^7tC3rpM&+o4E7^`|)wQNCI!+BSZL{?wWu5*xhyg^myJi8I_sggt1fXEn$3PGbB?y zIT5MuCoP$tPHqaJkOi5$4dhC4x*%-2?cECe4BAh2>v$nC`s;Os)>1DFM5%sUtv6o; zOtgf2#I4=N@BXEq$>@#{x+RhuG`F{@0hnS<)WFh%($$ycZ7PP)Ntl`mTUL{Y3C6?p zCT*{brBJt#nX$~}{P>5N)wROPTINIjDUwj`)3i39*N_}WvoXNuYCC-8z%B3N2ws%a zTxAOZ&e0hyj}6X@JdjH5ZD0e6OlAgu$i~Tk+`sxIyEHPBoxVGAS6vzW<<<^(V zA3icM9{}kpTv`QyfsmaUF~H=T0f&eDX&YO@mrB0Ezx)zlNw>i75*>LWTp!F$B9mdv z8y;+bPpd6OoW+Sf$wq{J;^%f)MB%$dZZtr@xzbe|yEvx6;dhoO@fNskbb&B(z~}8& zb9;3gdQ_XG!llP`*UnD2^-FdjyKNRi?Xjz>9n*)D)+)i>>(LChF8Iqq69C3`;6{Q@ z83iunnu)7X1bX=6@h#W&;~lacv16+)b4#;!V!Ub% zVSk)`$Sisev@-;Jp*ZqdUOA+?SC@;0*AItLOQfzK+`ap__zCR?7m|>-ekBSHzoRg= ze#PwS`8eFAwcZ0PZ0SFXe_pk|1D|l*8}49RxFN26*@wS+>wHUp1g|~%gS9J2LJZmH zW#1!)G5;Z8o&S-)GZuq)#32bKJ^!QeYq|WCb3lsv83q2fx>MUW>2EwCjKo8^L;{`Y zYbM1PYJTeoGDlbEe1e8p&b{KBS`?hbyZU5&PYbe*$HJus41p*UEDnZes&m9>FdSslC;slrxtzabKAXMeL% zwrBjZgkNg5p?Pf9T3LLdp(ghXPL1vdUeJt{-PoXAVq*ib%#AM$Q9Ha90@n%bW+CU_6rp!l;}FoInT) zUL=kLoFFTOa@TAZa!32i2tWhNXp&+kzlXNtLcjWCtDLVN_7qY1BESLwz3hDrW1-QmkOAI&4= zI(M&@9qaRM`9UHr$##03*KgJEdjE~a@AAeb+nJYY=aD@~e))4zFupw^dvMIBA$PEL zz>buZJn((d*@m}$&hYqT>k>)9UtZ9P|C7hse5B80_=o66Pf2qkE%rI`(-k*8NBYLr zIr3ZDO817NmAL74n11xusJcchIZ~T3jjGFBJ7tbbYE~S)Kf_N~ZHMfNiZ;xNP^_J- zTuT#d78h2s9ilG>3AY2AJwn^ZA?Ds_WE2_u30kgkAaP<%ocs=#2QEoP;5nbl9+U6; zR0W<-oBNHr&Jc!50o7>^3v;w#gJdScdxlL21&*nO(cPU+^Psk*!ILMCJwc0*sD)#- zaICgS|5O?cLX=7xkkLSfEZ=>>Z5#4bGa0vit}Jqh4utJ9tfy%{9^uor;`b=Fl=zm$ z6PtvW^n^-}5>Kp^ljkKp$Bb~2a&f!5*)Xe;mdPT7I{pfoQ6v;BZhS-x8Y$M*tPo5F%p?Px9 zZRwBWYFp3@nv5OegpdO?W_3?GJLsoB+Efy2e;kReV?dA5cH21^8Y7Bpa=N=#yivPn zI^kk1C((S-G|V~Y2NxX;dU2O)#cNq5SIks~oDbu9<{KE#-OMAFD{>LskbkZ+mMc<0 z@E->Czm6Cu`1k5{Nd_Q=@blVLM3F^Y{3!-?^@<5BgmpzYcxjeGW{tEifidKZ&mp}X|drWj~u5mI5_U~9vlk1g@aq38S6$l zMSsSXu;&4epl*db_CWn-f#hbb>P2+7ob`o(xO^MMo@F#6z>JTUUXoAogf zWeOn6#Ce?VcRWtF6aS|m9FKjb#Py?Y8iV8K$by*o5plm0|M#QjzBo`mNzYCm^;Wm+ zA*5`P{??|0RMWu((p!muguSz;I)1QJ_9Z+tq4l$>C%%=$@{v1W+7wSroUVWnM4OAv zrzs~=w{PHI4KOm8F4L!kK9l028y@1@$i9@iFXu1P`1P2Xw3LJ`w< z^UK!LmhHnRt`xMzz_{NstXF`Fw2l}RvJU|Yj8v$NPmByt^gD)U-)c$CU#M^S1PM9? zg1*(d*ZdrqreB)T-t7glVX9lceAM+-X&*W4l!M}UFcOpRsDnEQ2dMY z!Sr+xPn7Fl>q6=H->cSl;s&eSd<{#w+q0R{v!U1RSFO(_%RKuJkxHZeY!890!rF2Z ztMx}v8W&{W$3L%H!}!Dn+0PXUI_`)6&IjkWV-I;dHj~L91qCj}rsSY#K4!!vT#%J( z4G4y{gRoaMgtS7St1zA}ezsVkhExXSS_=`_<#%0YK=O@d zYg5CJ5HXYPh+#neBEHc&c;TzU9CUyLND+q<8J}PQnOKY+ORxF=m088rf2M(JZ=GA@~Os0 zlfLLkT=`C|gLoau8qW|g4thk&8;rA6WtxOdyo9!912Q|1IvvvA*~lT%pbUrzz#f!= zmN|e?1kius;h=^_cI zc(lef%Fv$8)w~vbFzgrKhCM}ayjoc? zA{MsFb@B}{{gT-UCLE3s!^J%PAV4@0;3|r0)5n+V1ffT71ZW;-^?86`?2iya+mw

jKL@31_q%CQ5YUR3y4;0}}%Jh;r+5=$67f6m3LKXt6 zcp=l|Ii@Y;OPWBaAYf%*38d=*NCko7l`v(%dclo_s1>zFhlTRyX|*eASt z7QXT)o6K2=i*>wr{Y|!+A`~Kl6}^cd{gG~q6hO;rA7T-W;}@M)JCH68@%;dOrozM3 zNdszzxEYRVgI$VCpl2Q~eXJM}^bFy^q_JnnQsoh)yFBuEg)*BVr<6c~=jgy+=FDmk zkzV_rta_QFeDkJ!-y$j$Z%MN6ZbMdu1t_s@c|Sjd0CQsNWRnp&MTC>2T`jjNTUi8< zfG9_@EB!62ws=Y+s2y}pMCV}Qw7u%Ix)Lf%tq55a7$Q3i91?)yj=^Fia3mtgswR+a z%9C<^L=<4e4_C><@LsCk7>>} zQAUV?UCAkO=2I-jmM>##RyxBegE4`h&wAWud0dtyD=6_ph8a<;VI$H3Z5ZnvYaT>M z2fz?4C1~z;kgv*wkh6RhC8Uxd)?Xr5kA9S5r;9%*bWrYNsGCPB7sGxW015~)?4XRO zvurs+g>2m8N9-dE{~OM*CD#Gz#M7unB-e)Iz}jfGHmHC?t<-K}1W-|-|1T9XoE!RM zEE5jG^xP@b=C`KQdU<*p8pSX5ATrIC*#yXfHJ!;%Oxg&!mNHD_O0nvj1Q^-}ITk-@ z?joxo<1029Oc6z}U&uC*>Tv`i6hY>ygh@oWMWHor%^)@-SbpCM*Iclm@w^3KP(}sH z#TPX|(iSVb*py**AaD?Jv@~1$>M+OXi?(Hk$*(=xmk!Dv4mzSMPBFF>k=>k>oh=02 z(>@s^N7#XujyEdH1wB-;Y}i|sQYt35>^3PRHCdc36LIS{{!x3U4y3!lNTO|Ia+ybA zHO^bWv=yo^5ihXqLMus}B|^mx0m>GQGa2kXmdb8V z7%4I#%b+Pg8Jl^kD#fOR#hs^682jFCt6r}?b}Wydn6{ZGot;}(uHX~)iUy+Z=br6c zL8#3un~$&1ax9b8HeWQ57jcuu){7ssFUrOo zEr$x51%SS22Xpub^1oH9?p3q+j&uixV@5EQrHv5&D#GB4kafUaVJS%q2h6(-$8~1& zVudG?H&!cV`9!ANPR#U1VO3{lTTJ*T;bhlRe6c=$Ya$#sW;b4;m$KRg-U3G%V`^zD z4p&-7DqOh|tKn91(_LByY0fe~9SlNG8xfyZ>s||Y;(hV}1Fno{;?|>tg(U)Hr5g|$ zB4JsxP+a#SwP(B4riOTM^+LDm*4}ww2iCelP-XSN`d{x>-`Y1n{#L>(^iRRV=!8J55qZc$7uxHgK~=}NVkwhq6yg+9vfljhr}mP^auv)u0

H{sN{+tWB! z`NsUHf9960aRXepdwNWUI~c2cHI8D_owQ%7T3HRaBMsn!PZ5lsoX2@u#6Kqtd%{&B zsw1sU6P;laRqW}+(tXUWb9xlcFhJixmKDa^_jKM?w1KQcz#8Bp){TbYTl+8$B!o00 zn<&m6BLze;O7i&t4X$oBIG-0@5nLVDRr;Bvb1MPXEakd^+Hkfr*fJH)GF;z&&8#9t znNv|ynOn#l|8(tew&7j8PnSKcbI4-z$hO3Tpl9LMPIx|HtHJt4ge*3m%`s`s?KWB< z(PIpZF@!e4t>z2ZOx+IK4c>Rqwz!cwwvna63g1Dv1n$R!=eSWAncr#Xmr(Fr#MOd3 z(E?e6Nr51`YlE=Mpnab^x_W6ZLs?I0yGdhp&TSfD9KM~l$MAgBIjfBK3{g{==aR_| z5c^kU%2eYa}KCp|&uClD><<`U0cFs318`KT}OfcO{9=E%u7wI0ko&;Izd&TF~7L&KFjX zGD5S8ioCmKE?)l}XZ80mG$b8k{E`c#$L95Qf{ubv<=mTl=t_N{o?wy{Qod%Ebvw2%2lpHRl!Yy>9fN9nve7G&@w>ZC|mO1l8`dm zWN@aP?mwLGVKUR42~&pSn`u{EqL>7gH%%TZ?A)-!9dnyEY>E3&!;B&NW@AZ4KBSdY zW`|6MaMSYUpwVl0Ym@yEuF*$W9f@$Efp5dVUfo9>(-RZM{-#V&TV`ns<8CvJp~T&~ zhK!_xY}}?KrjR*8IJP8nF!dNTTA^o9zOf}~l(QH0l-4JWYq6+heE59dAPfv?ohwtN zS{ikfu$Kh73K#)cY36&fU!p$1jhG=AmahpWCCOEVs*;B!(+O37J8oy?xj|fW9!7@k zbW_qD=>o45R{T8itSx#U*FFP8^1y3L5>vwx8(UaYKcI@1}<;<|(fNtpmmA;@V zDP@tAaxH0xiwxu7YDso!??nOwT7!iamxcxlJU@1C1Hr1Lqr@m7pQo&)S-B5E5>YBU zkB#mq+}FT-^&z#e<#t^_SjqPznLAOjJ9ID~rrY8EhPc+1z0#>Bkx~5zP@isMG6@d! z98W%k2O5meo2ckIR8ff!B9YEozK{m7K?D%f8@S=Y2JCazvY33soEno>3m!rXI65r5 z{1_f;jPUsxg`QYZBvCiHiEpYiEvu+%$irxetZ~JS{i&A=4>xq*P+YO*n*^2j2=Z8& z&}!%B8pGM}NJH{frc$F98P$Ij_31Z_)o-cg;n9ZV`>bO^QmA8pBhpHL4CyS*aaTP& z){uQ}Mizorj}Pc~Ng;yNlN zpGOmHXR534rx4CbX{tH00v-2OJk^kWQ{kjju8oDJQlF+-&J*W)9oF%(Ei8dN-GF_g zMwSwEPL+g}{tVJNFs6mDes7kKoEoZc3rodXn#d{ZS!AV7Wv+2yKZIu+&H;BSBBT1x zp+3J~zHbK(VY7}K^}=%v$ma-Vomh4BZbwyB?(@jy$cP0?)+?^s%gFeAL-kGTOUs^R zHKo0Pv|~Wy=Gt^YQaYT%kwb3wd!YgQ0@!1_b*q)th!@caPCxO!3c5RPehV))P~Y^k z^gv4zQpQV^A*(7pPC64_Y8a=&gynljd?@aJImIl?h?G)ZrWAQr8wVGL?eOx0qL>%D zMM^2JAcY?8g+m-K$Xl?LMTqUHCcI%XwhyowA~|J>ensVltNuzb}&>x}mzs;b=A zkjohuYAb7B4Y%|4hG;Cj3hcFp?Aw5+N&?nINmkLXBU;u0qPLB9P#?~;yIqc3c(&BQ zed9$%uRX4-^f!>ssWfxFz}q0v^1I=UhU)W&vxek3r>LmBH)(El5L;+;XE8oCXR*b4 z7~X8SzM(?31gnWLVa30Nc#h3-`{E?9d_fp(tBx(p;jM=5>v9UInC*a79HXrGw-L`? zRxe|wcY)6w-fqY~uT52itBEA3$afIQDK^|#o;MHgG^jQBZ>x7dB`26Fs{Srj$I1xT zp2EA0I+6}`6Yfc33V9D9*MX4U6F!93gPkPk6`;2wrj(O4bRsBsg&eP6J=e6e}r)M_{HKDw!63Hant2T4cXW47CMog7s-;Wf_Zps8W|HV_tKwwO!WYQkq|0;kI3K>|Km89r<9zWP-N z3BE|u-K4IfKSwk_bJ_;RMzT4oUHI@co;5x?1L|2W3T; zlM=`&Bd%6_jaIN6c<{8-!z_UNbi@p7rT@CIz&8yZJHu)<75oi?IU=N4~a>T1Pz zXobw4ntV!2E@Jqu0sDr(Qj1DL%J?1`^vX+Tuy~RSXP(>P`v&H7)=El}%TijEmHq?L z*=ZHGKW@YM&n>)g!+OAwZuqeQ`_{O|YHwLj zfj`l_=7|cX1Fb$*l5v{VAbk@r6_Qfc1g8X1Rlz?an9*tY2-rF?S=)p2Cu_GL1Q2k! zE-#Y_|7ZBVj!X4~uZbn%YR1oL217`lX06-6b+k-ntx?LzOR}z1U9Cpv|p3P_EXg0-EC}D;gzuAH-_n(YAsuZv#`Q{OZZVm zR#BjOfn3VH*LCsG@oNE7du`7E|B& zd_or;P57HZ`8wu8Dwb}ZMHkA7|2y%VGKinuxu{*!AHqKj+t*j=ug7+qQ~HB)|4D8s z&WuqJJC6TlkUlrEVuTktW&K-O7#;CwpRT_O0MvE@un^+UmSoCEL)i>O$RHRnuD*SSUbB98z6}Y{+7cOs@NIFWq zqFzx=Nmn3=jzyj<*6aKG0gE(OG`I;DF3U(Bb1I1{^-83c_Uj->jyt-;l?~E2>Q#g` zqn^^PLK+tr5G9iJx4|N+@f2?2&Z}kNss`=rgjG;7tBIxRYRJ`S2>YqD0jIR7=jw*< zn}j4C!7tHN>NQAZO*XSY=|{sg4cO;QjY$c9>~HXfB`+FQ3$8^A___0TY3>6LhZ?jm ztdcciuFJdCm3M8;aXQl%-*49!un#j>Ulgh0c;J|oN#U}m1R{CA>M;i4o9mfXtkU(W z$C4oX8R9YsmT+bL@i@crb@&yXL=w~-9Zw!BX39`N2|MnrzIsFmq~$ z8yT*zid57{RaD}QNxT7wamThy`!Q1+)_9FW3uD+M=5E;X0UKlncN1gC-T9?Qqrvbt zrFXaOkXpmkYsVGqC#&?C_625Rb$V=@MhK97^<(+%1W_xm+C6}wq!E`-NW1S7;JIU z;dX}T>-YKl0?R^*xIGcFU{^XW67NL2gF#KekkvaROt<8AHNj~@)*gA$nqu!r>`^RL zEZ{U+yjuueDqbbQON#P0VZzXTK7An<%XS%cHRE)eaV*TpixAv&tIt46)mjtk~6i*$WWk|m1BxO>~8`o3d76Om1F6Fsd z3F)0}$Sc=8mJ8>l!_^8ns;eF6&<>7&*@NN3Lt(37`?|5LAz9BUDk^UqdGzlvfS?Wz z@Z?O`ZeYHTIXYIl#;O0 z>!kCOr!ySV2zU)(xThieJkN@wAX!qG4KgnaCZ`Tz(r|oD-OPolr1DM5uh7(osfmV` zA^)$Mx&qa}HVx$3MeNP79c3PuhEEx5eCr9N`Yv%IN-1ZW9M-I{Zh(7Ga1C>qF}zDC z`Y7URL5CJ_OhJTHssWGXWAkfhOos~%-xmwaLQ=DHD$6Q)mSm19+63`u=o+MNc}Nw; zS~UJrQFEHfRLq!GA~GNcGeXZ0Ct%U)17{Kv;8IcL_Q_37K~q*hTVY^$2kaCiA!Y0( zgRw>)l9lEf3;{_;j!bh^HN^~x;n&hB`Q~kV!pM+(+jW*s@1dofd2-nQ>&8-9lfdOv z-3~6Ozz)3neCULI2JD+MsHA)~O;qWtF$*+CW>MU&$fZ+U7|d`I-t6Ju48wk7h_8w2 zQfYL&a>|IS6^pcjol$!4c+i-~CZ>xF+1FAko=+AzW!;M`PFGW8=%j@ zsAwpKrc&=i>XMHx0bg0Ck2h`K*BEedKf2LZWA3L#kcVgt%7`XnsK39lz_(tWb)??q zl&UKC0p!xXTyg`24E7H+Y~SKYp%v>|k!G9=7gthSEqD+uC@m`Jjrk8Y=-a`_gX$ua zpzz0%7pG8>Pgx{I zRH2VhXg(&|8Ft%^L3pHrI$Mw)FO7qZrlO`YA4R524dVsl2v73M$_@38HdtR?D=v;N zi7NLoT9O>?B)!S1cw&k0XA6yN-Cse3>%B|U?rxUMmfqn8MWcADXt2Zb7o zW}$Z1MNCo8A}SReJ14$!{A|NH;DSp+%6JYLtlfD{RDTH1H7MU;qrV=z`<&7rl>0n# z4+9s2aeqEETmH#60S?cNN6rajQ0G2PMy!fEdWgW?V`7g#^NqGs;tiN*@eP?9n6qf>DYOub> zuNs2X#Mm<6%ZNLfxOv<)i4tz&WCg=2V25@qUHE>wEJwfG*l+=UZS`T^3P)R3rRk@5 z1r20H)JPPnOA{L-5sk#I^;a5`eCt0dC8lVitgG->5q>=2+C0)4Fb|LqIoH5zdx(F$ z+E}s8RWMmo%*d&@$~;a`dtO6(WMxwahI&2Ti2GV&!i39&Wd?^Ns?^t!$|||g2#l`r z2eT(KZz2`9Bi$8?78lo3LV%A*|RqDG)mASF*JJ@j6uJCR{JZQ%QVoG`sN!%wHr%>rt zcieH-LpHdzMdio`+Sp%Fv5v=a?EVIKTi7NGTq_QqYo8)DO z4x9>k*rB;*O})8hZTP$~z~@|)6id0TB&aoCpfwt8Y0hxd{1*+|H&ri91E)ks311?C z5v-EWg(Y&_KPz#FFB_U~R-sywO-;a=D})vQ72+8Qhk>}D0?zzb4RNjOa&R?k0W_4UpEk6m96kvqMp*ep|sq5I&ihaHx2D#HApHd?_1`b#5Wa0- zz6CF{Ygwd}@*Snb%YNmCpYIxqZxvz5ZNb!1%=d_)i-}bythBG?q87@r7rt*;z7AAX zqz-B#Nh4dos?+_h+?!g`Rrs$pv+2@h^pFcpJiq!IgY{*$ z;^yWgsJ!2j$I%2)F>JtXU^MxiLHVj5e_z^F7E;9TiQpy#+-Hn4s7C#uHX%?+<^M=| zcIP^%An=Gg&HiLKz5-K?u~A9{758VwVQIZ7SBcc7o2~E{gY$Jrg@yo&BqSC1R|44~ zCHHRNw|Cn)pxQuYsE&XhjYrx%D*%Kc6DvBiGbN< z40!@JuI^M9%W1I{6-#y$Rp=pviWe52>qM<$$ojGd>GZ;)hVW7>H0mksa-?xxt?O5}Nx8Ms$bmK` zC5FU_9Xqx|ZPV>)cO`GU+Fj2|wv{q7Gcz+Yw_ll=nVGr$&bc#p-g{S1(v9r=(MGf0 zJ-<8i=FQxpJNk!muR|_tbkTLQ=f19C`f7B2&ka4LU5_-*nB`dJT;jaGf%$y!g>lhK ztDH9=h^-SQ?9#%+80^4?Wvq+$!oh~<+s{zak|$Y87uuTD8`6TqX#wJBDy|Nl{2#t{0BgAf%>@$SoC>(0QzNxxWq}Y;}vJNAQMUJl_ zYS$i#ON(4{T^?Ju4>w3(w_ido)Ku~jBr}djdbLm{DMD@hARKAfzH+X4X|1waaFkk5 z98tj-nmVV-3SMQeQBJhLl2%BZTt-2+)IILo$ZBsiF8h{8EIUB&3X+k#QUt z`H;uhRI}fjXEbb_+^!_T%?*6plEs)67dbYvC`WC(1#RPdE0@trMdV-Mmc|Su9Zyq4 zVhw^w441*rly)o9WJ?IPLUHg27jr7y+OT|2wN!JmlyYuEj(AU4?4BIkfgv$N(BIa8 zkaT3K6*XpOddHGXhwJ88;+fXKE%gqLw076G7iZzBL&1Wc%JMu7eII z8k)}yEp((bizGZn$}0FIf?1x~gG+1U;bg;|z?YV9*0PLXb1I1{^%Tu+YqT2?-A1z* z!eQfEYjzZFZ?Hb^k2*qJAgIVY5Xs7lgX>)^<^kJ>$K4O78lbPixPNO~Sf@9~_Yz;7Zbh_dD zGQOaD6fp&@A&4%I_E(@ zUn(;mp|yHEtT$v|zaaur%!QOv&d|)3FP%Sav~vq~>g>U_&EZUgTspIQ`fbTO?Mw1% z#s-?fhYP2)JwR#GlRnF!eg0L+tyLwZoJ|Tl$>=$c?c6ojnd^j&hT|KMB@HRpik{Lo zk;aB6bv1nQaDs5_sp0vSdTKf>RaD|;62(i^ZAP74VT+;pa+iBy$zM)&b}8#zvh0?W z&ai_R@{O?7Fnv>UnNnp!FX<|K8`*r0`4?TRpoHy)>MPf*QKeE*dFPRrR#M5*2ShY&>w(NTu+P+oE(zV%5^0@!AeDH&_XwBiM)4);C@$uCs;NGzw+P6t##CH5_ z`A)hJj@?y}9%25y4y0w#qHSy%aJFkS%ic>u%50Ho&bBee*ED1$dG9>i^NqT&wlvd07r!$;-m0b|cM^FRvRGa9!TrM;kS_EL-8TWW*vd~yS#6l1 z4KlQiCDb2u&<2OT;rd?Wx@RhSN*j=NBy!wfY{t&?*xDG?duwNk;}mQjJ{z}c4GsKk zSA|kZsl=M7(^q45(HPdSG|k@~;gB)6s2RMkhSjVUBthkk$YW7w9_OIKtikz;x)w)0 zrOlDXA!zP`5w)U&ebHgJ0Z!mc%ePorrrMJyQKjx7l`TYasBmQoj(+YnL?j)=8lOz$ zlr>KlT|i9TASS|^&F5_2aL#$_)`m+B4hwz`TxkNRtfsVkD~)q{-9DmzA~FpAKitRA zCS0^aMar{Cil{>GOK9q4XImN}<$i|f8>p1>m!*_*f6d%zhn(zXn0lGJe1Jjuy4a*5 zIWvk%e4r9@y~2zXz1s&FqOZNpD%IKDH(?|lQ?tXZ;;FgRaDU9@CHRH=_7 zRd$_pdN{IaNY1fkb;bnOljUjkM^j#UN)xghH)?ed2o)Q1A7hxlq4Y8l!Lz*P^RYCf z@C?~qFiheIH=(!Z<0T~eS$LeW=pt9c5IsQ^NfD~-hYM+H;Nxi^8^zQYV;*E?z?1J! zFxL3q#mA>%W0*_?Sit zPcdZQ8fnczk%ii7#ZzeoXR(UAudJ;R`Vvvxyh2$X+hF-1L-D9*X^k`Ec_J|R?vk8zjSWF4d_Qp^T z`hzK4QrMlI!gR}X49z#L!7r&L*-C#`bv1j>C0*LgG!kVUmvyV>8L+cAsvFR%rb3@j zC^yMqlMvV0+p^a-o-}@e!TMfS3Q1-cDk}7ano|w_(hA*Ktm*f{iwx42Qu<%|aJ!IA{HN=d9U&(Ux`LB?dcz0$JV}O+rFlD5~6-lFLb6xIQQnSsZ+s;rSM0 zOTJSQQpU@bA=`D~4dW`PR~UxRKQsG%MM^2JB!#cK9#?J8%?wB3RR-i6si=mOo+d<4 zajzy$I+1p|IX4bB!fOoB=drZfv0CE4@wVKkrnJ{)S{#D52XjNYl;?GZ=6efjx-3;x z;_FGITaA;%c=KRR6Z05vFgV|1gM<`hSxPx?B!}%vc`2*eYwiheGA!TQrZN#&T5+SM zLf@>JW3BJZP6rexEZ>hp zr!9Qbv7$cK8MP2%IK0E4eNHF^gjy&mq-%Tpt#k7?kg#Z@=e&>4()c1DOY{*wdCBB!$qez55#e4NIR>G2VtCJrtywjQR zKEvPS%5>JOKH55h+Vg(eV@5RH{%(wDK446kaG9{^h(<(}`ax3Zk=Ud9=gYM3hYWh7 z3vIQe5bTEnP%}PEGj0TNjtEjLp25syx1TQ7{D`r`=j;|@VnLC_*feXa2_Myx$o+c^ zF3A~Z91i+FV}b7#H(Fwb`7G+I6(6G&tOaR^&>ijWj=GcBqVjQLfN!fo%}66lD)SR$ za^VO;ALg)d^hrZn(ZW&GQpBe;TYAL)gp*U6%>fG<=jRn48yebM`6E*T`$`@z~rz=?V!xs(H z*Hf6CM^sYzFHxRrG!k-|=iBMmH+qkEX&F&OL&UpFKq9X%mcBx6QSao->=Ir1~jot<`P zclf3uU1mo<2`S@SWN@!oI@iz8W3k%{-!>@Uo46o806$2Q3jGeDtSGwRN~5q3hDQy; zcMaB8QB+CFQxhdwMSqWIKEm7`!ZvI$2;VnYpKF>`gqu@QQ<*;?lVv=VyPR<89NhuA z*7b)gq9z?-F3?o!k4WW)u9@~pWB6bAv0?f4i}BY2N-`?{6UraNOyNlWZ1|}W_c_|8 zF{xa2^)muw<1&2HST}xdAim09@ohy&^Y9BI_=3qG6qn^;A?cTf;me2_#fp?tex;N+ zGQk9VJN(*Ed^ssKO>E*Iq>SH?!NQuG(~D1kYY@JvD*RracGgkC??~VpCSNYb*nt1M zcJrnU)dN4jH&CBfq>@6`M4i4G^9LHki2;UF!GaVzAxuJsKN`AooK6ivSJagCCuO0P zhO5RY75pds*|2;Qy-7o86+NZ>g)~m|>hZx1+Zt=mJZEP?7jWF;ZNXe%MbgKkl+`JD)%4c(%n^WW<4)} z;uV`A!TwS@ff;&EYr)Tl~K5o!Ta`{)Hjlp`e;mU^T8(Gzi;d=Ro$g3y?odqJUU=wt>s-gILf>LJ_bu=GWBY`ed zF6_ziW@BzHT-|VduV_}OKESA{%xjRz20!IJO_g5L5Rr5=MK$FY^^|rk(&(R7b|_&3 zF&=EVwqg2mxyat6sHxoRkjvIDA9c`JPS-Wi30Fq5j1+B7B~hhbk5o20=#bc}$Mv-9 z8=|jjQbJ&5Ed||xphF455z8&>Hp$sa1V?YIMc2l2mf>In^)&&N1D18VYQPO?0DYLe z*^h0q>>*r_dvUhKfMGW>M)>BqvScdjv`euDpw=8hYgngon4`F%Cmd?GPHq}>);cHRx^L;bi34W47Kiw?el2-Q8_x77)U8)I57V=O|fvL7zRRilrf(X5)e zN8wJcBaKnM^`9&u*5nifm39u#%6m%1UxcLvQyX;>^=&KP9N*!xhzFBn@i6vT5RN!$0 z($h%mQ*)?QX=}z!4b#_<)~s_Cno7MHscgW@Cr~zF^AXM%g_|4hdVFtr|8>dJCrMiI zw;=v-$m+cj*fZVb+TK|D1M^|GG*_~2FU@PcIR7*jt2s#)>$AQH77*9d98+fPT&V?}p^mQUCB_*qg zvaZ69CtMcY#K#`(Lceu8gY@Nb!I3d)Ddq%X_@+)?Ixa){w0mycpnPLoib&3?Y6@FT z7~j$+&QkNdD7JvlAY1}^l@kqb0^eHxZBZRzY9fm&_9SAZ*^3vPPBNy_$p+}lV2w{l zH6@)w5*vhK&8Hm(!#z9Lw%^_mov{Y<%9LcXMp)r@Ae`^TreUt2rOB9g@-$t)=H&O~xJP`*kXljGqohUx1v z%PNuDZSCx(Y6)4z-j!Gm=Xi@M`V{Pjn`$DGcms1&ytHG&(0$|B%H6CBRTX|3;anxn zZUn+)cX}h-JH#XFryI6!D4De++c{NMR{k3D`QoJBus`Vc!dgT1Rj8W&lxj*^M-qJ^ z?dvf|iirYTNod#7^@EHV4*VXOgYV#8`d!toJ3PBSkSw(LqT9#%~rNH|q z;kvdMtZyNzww@(PMV?C}H+bTJ?=B9}!&bxcEs~VZ2aAmAZ=-&kNC-1sSi~a;{dSCC zzulmGrHNigl%zB@QIb{kc|`O5sg!s)-#~q1C)HT^2o-k$acn1s^BT)ecKow{z0fdy z{cA}`u%&bwNGbawvRQGG6MzzCFr!|$n*sYqH8rk;Dk|~rB=Wg(ZAn(GaGoMy6g@yw zaSucFRoCh&71z`XNyT1FEa!)GN8IdyXE{29a8JYZ_3tVp<*NzRRA_@x@#APPt8uTUb z;wZEY!METi0>UVyl+q#P#-MOwsv*uYukh$j;ngUjiQxpPA^V1amD#Sv)zz438pD?Z zUQrJ_1nDc`Kcle2(0$cZRV3@0NRo=|63O9jJiigoC!}RbJ*{wwp`U}VFF&lP2#N`n zPbvo@)S8{NhV?gjI^6d<6MBa4tG_kQlE^7*hOAq$u$Q{iW;EY#?Fa+j5!nuXW5~T+ z1!48$;KG#Y~d2X<(T@--*fWfg03Drzco7nyWj(+Rnm0bY$@cs|#) z=DZ!%lr$oVjfsrYxwb!RFuqlHvy=uQCCrgv%CE-(z-|ND$MU15GWU>K8Z%>VWJlO* zc)s$h>FB7Yq@rLVBb``NC>kmrlg0H#9pwAK!yxhv4PuE z`pq6Eg2&@!VUI9ep9i3Vg4V=Bbv5LXG~^~Q#C95`6__=>E`nc%M;UuA#IKg`m94JW zWj|a1Q}Z58^XSy#U63US&NKHBMA^CyOrjNrr`_ z`_l?PgYv)8swnlQw+^F^vW7ikU3R8GWk^U*z%WeO~f}b#e>X-ry1_jb0ivC ztgI#I@&{R5v;1_;GTyyuT-q>(lQ$UVKEt4WLu=I#tR_TIanB@9CK2*ES;jI$P^{U> z@GJxMjjf9#wt_8^Sy>O|2r|f#L#@hUJ;Po6;euh=>p10;br@aa*|SBzJRhiykdV* zRx9O|q#T11{ ziLYKz5GRD!7-LraP)|_GYf0f!YueBwfy8CQEmobw>kQBLmQYHvTBoVt*Ap!MuLRW| zlRLWJV0ga%GREPK$n-bWl=McD*!Xb!Z%Y=F*gm1le3QZX-pC{)Ikb|>d^4F`a4ok? zxcI#@3~w<|-`HiT7Eg4Q{8p0rK!>;}V=_pi9wVjV{<82k1NSwzNlJ2DC#&qYD?43R zC0D8QK4rRm;Tvy{^JjZPbJ&QN)`xc)tZyc$G7DFdQ{20W;{#3( z6sFv|v)BcK+ehAGfX5yt|NXJa&6 zgpSMSXLsOUYdXmvH~6hf<}wQ|GQDGl=ozDyeS((B2qwnm3Nv!S_a}`JNIHtTW|lDO zDeY6F$zo3VEP9-^4xctm-#e3!%EwM%p{}w&LpE!1x{5`%vf(ba@L9w4jh|{RbWuem zevU-W!K60~>+YQ%CPMb${2l%ZpEuyMT!mZ_iM=YX-cu3V;jbE` zZ?>u8HDxhHeT^v2HtDG2Tm)&IuO2e~y5ag}n^aJ8s)>c_YRETe2;V0C>KZsxvmG4a zS+_TQ(^%khFI1^wK}lB8-y)jDoz6tY|AcQFD3XpURddENex$VTkY=hBCcRLlzH5LJ zE?}-iwn~YpQol!Pv6qZTkP))}`-bTAix=!Ai)xDc0a4Mw-gxvC`N8VVD18zLcx+1LZbCd_D zi7cwvpApL!B%OleoF}I{$B_;{H(=kEs-z^`8dW9#g5=7swHYk;4BF_eFntw%Y1sR; zYptxT{9lpJH>N#k$$1$5ANMGRUmLW~B~}^9wGr~Pjr@vg z50#X0Ju=d!3vM1jD;BPAAeVX5MG{iR4ai`PC~Y>C(*y?_knhQqROIQD(o|LI4V9Yu zdQ2YD_p@fcK5iHDGQGvre@_U0Q;*zYt$ry=p!F-1DZn_~_&cHGTXRaASa z3s&lIYUE)wk`H{kH@3Uq3;`hr4>y+h9ykP~{0kvv96`oWeBcYO71=)6+DQd)q`~_7 z-K-fO{!#?B=P24!Y927(Itbc4+}K#*tAsVpLs?bHN0Ut7PN#Ugqqr;(jxktYYp61k zcTK3KLT^H-99Pmyp66ue$FTALPkh)pC6Y=!jzrE86!#}{y6vV02#3MpQr1kj zagw@~x6s{;G!6uE-@tebH#aaO9k47RC7M$Z)V$q-G&-^{Vir4_cxI-}Khlw?TNd4XRaE18$`Tm5g2PY*XxN!^ z?z>8V&NTZx{Tps;j5ym>`XxOvqm-`dt0k*wi9GsryYGl`pT-Q_=N6WHHjMqSt*8|F z>3DM3g4qpM*t*Er3M1UD974FA0dIHZ+GtGm7ZO2wsDutA;m$Z!JF*Rvmeqn!t(8D5}^y5X%~jVGkOCM!ZnrR73RD z;L^w`ODX4$6Q545_7<(}+0+C8#sy>*SE;y8iAiju~)!$u?O% z9);5ld^3Kue0@<_$*3k4W2jMUXcT7~W!14`JEOJ665qmF(h@^zb(Ox3bh zsC{Wd?kvOe&5@O&|3w`ooJ|7T0^9<4`|=U49x_b^ajQhJ7W$-G!ezV2j3>V)4bPX!{OZ^j ziJHo6k;(3b7c|8~1l(=Fze3w!eeZ7}B-|pYx{B@)&6!)y>B!N2-2H`vaLw7VEfTdk zuEvKcV}^5{WIjrX5la))plKRJ=OXRrlpU#IZU`@x!9R8wJAB1avrn|DtMo4EX-$g9 zws7~`C5GthZ%YHasH23PB=A}1IV5gL-NGrP&@(7sH<5*;lyfS}DtU%v*6cLyn(e}M z!fJfz8?4Vst{J_lq7nxr(*M^c0~_lGqcAi)-b_+u%a#w`=h+ertSZsvAbLdPUjO4AyrXG|R=-Qnzm#akb*&OSkE#z-@;0vCHX9pC22L_*))I+ zbMdVhZ6!R%uzlV}A!FE4Rk6<{maW<6Q+gwYQzg^1id;9t-}TbZXhPWUSuqo@L71V^tZ#~9!EqXXkR%oQQbIWwmc|J2LI5lgchHf%%wT<9WJO7` zT=^twEC1!>Yg5JdEj3lIFz6LDRfU?uUP)M~TW$}qdh@Ckk!oBFswwH!ByoTvqX#Sx zPleYQj?YguqYo-6N0w7jQ<<+PlkP@(q^)M3 zfy(>S9ZX|#Pv091+vjd1wQ^;#%4)$IX#rnOj)~IZavxim5yk0EhV7ehDCtDL)m8GF zN#=9_T1UhPkmZc@aTm9IS-58QKZ>x8>Wx(p9)r zQT4Y|U8+%BLS=wixz+w1hT@xRsCh9|QHk$VVmda;i7p;M4eweJvF7lpDk|~aB+5Pj zJ$Zx(Tj4zhhoqwzQFft;7=vjev!)=ZwD*!G{l}=wy$`eoBjZjJ7nd5O@6}u+hf!0h z?@3_X!aOZ~nHymG&kFuzXODd9z`~;DQBU1|kj&%06Iuc1NeA3W;j#eQk53)$6fF@aA zP5Bf};cGeF;xGl#n0}0S7{+3)UuRvK0^-s{cbBxoa2B)_^iSB`eP`>T3RS6 z<#VKz>Lv!^JbL|k!&!0NjCxA@0%>eya(je(p5W?Y`QwX*=c;p@f%pBJK1QuvxE>ni*kgiBY(K*lI5 z8R~x1Kz;8_X{ei}l=Cfe(n*K*+;BX6+aP>SM+rd{RsRmvZ-gR@p+n>DWVtDHMz-jE z*T8&_u@H+dX^|d{72;~c_h0KU^rh64@XH*nt@YXZ>~ddm9&d7LO&AJA1^ zFbF%@=wVCsU=MpDIL|*cVBgHLoM*<1urp?QF?BWLM>K$0CsaAis zH#Wu1ap9K+3kMf;LLV9;lBpytI~yrZrHwVZMddEUuL%?ODX4Cl?IhI8>GqdiewD zD){3jf4c+P=Q z)DT`pPiaSx#%VSEDSN;rxH`tWhc5+_G*Y#2Tte!-xpGCg`U zL3|Hjip0@IG@tG)20!5#L-Wo2s*Dt#CR9^%cN0R(-p*RYGnHsh;aEeRfN3lAcCx5q zk0X{&tz2=6f%Dj0U;hj@HDKRsuRo7%T}~Cc%Dx%dEN8j#!VK;sU)v^P8GV!z9ZS3Urvui_hgI^#;gwh@#ontJW=`V}>~L~EOc7wc%twr8f))3C5ejyBkZkL>ntVgoGJ+`{S4CC z(Wonf5JxPQaHawK8e&z6+~jd3NkwkZ45vm1Cs79ot%B;zC`V@*uCIpGv|kljWuHy< zG03h2+8d$TW5fCwj*cRFfCP1EVAXuGhpj6cjU5~DqvapD$V%py1E@utXc4PjDOCCF zU=9K0+uD)(G+i{VA5zdLL- zxRneqpreFsB=Dt5>xhGXJRR4~ximbBFBl}8VcX$`T`G$3ps~pYn zmr5#s0p-~`t9#HK#hqTGaG_!OMl`C!P_6q|!r7r2ywZPA}fgAblQUO;IL6 z<=ve;d4Tbr18g%NaJ{O5|KO~qp*kO6l!~usjjXaSCR--V!Rp9ZJ014m84W~(2=_F6 z-wZ>Hte^VbMWoe+25ry*#?C&%%l|RzHNuGV3W&&n!ar@f?Cw2MKbB3o8ejm4B0nNg-eVH z6D||72NC;qBdXM$q_QhZv9+*oj8VFJ9V`*|R>WOANEbzwJ3}sgpVQ5$+_9^%<9~1>8E0CBg#?eF9%w-i5E}V@jgReV}r4(}-<(+_Qi&+k*_( z=bdCB$#hO-StUQ1;51va-QArv?7G8aj4{4fDV`dome^4wOVVn< zV`+dm4Wp4P#G`YIryCw;*uL2{oTtn(u}+shK>g0Mi;pMx5ESm7PID)`Cbn4VPjOqq z6Aa&%cU2R%CXBS^{fRVz!<%Am3I|Gt;Yo(<>l+FYVHZhiD)Pxh@-5R%56$+lH8YNO zGd#smC-AN18!pumrY5qeVxLMZ-!XU}uqK`ndYS<`2dOE3Y)MHePbY=_k6zu0c zX)wN(AeD$^neG;)p2D6TgVa-UD`O_1rlYX)Hth7H*x zgU#>QLdFY3_8?eyc!9CwT>NVBI-B(t*@d$RMeTYa?c(TI2A{*hp70`r_j%xE>e(8lCM_lM$aPzY=dU$O(LH@%LXh-PF7i zB~j(RncOrPhPDT%+TLPl<1SjMC`Cr~-%5S7U+<^M%na%6=MmxHgRr`OVk1Yk9Q%O{* zA0|~?Vz`MM18(Tgj-R$Ae8e!3bUadez7!FpCZeJOKT06oxJyQZ{#bi%W{CSe4a_%V zAp$}wq?Gb8QVs+K=VQaijl9omFpDz~Qt?kvoO4XY5I5%IlLj<_?=0Us7AlgNA}OK@ z{S=|}wI@gI_T*UTb8HnpZHT^oAW=eSWi>^8M)Mbg9ga!(t#P;wpEWcj9r;Ttf-{Or z{2YlK8)_$y+kLTm)VUzV?+l+eWZ&3O)dZ~xBdsQUfhHUU6Y59trwqdFC%d!Zi^h;` zt|Bm+VvqSO%@!n%TJJrD8z!A;<6%QqkOy_$+D z_dDd$OHRv^@FR8%MzfQQ6x#{kHDuqjtzYRZWR?9rvabv_o+V-ygzp=guUJj>jarKM z0TDcnh(J5N`S3$S@O3DLAW{nW5dnt-faZCO*HCoE*7Z7!F29|Bv#Ab0Hq;C7_2r*m zA&A|>6cll(KgB;;mYVewnkCCrGZJu&dwPCq%y4#hGqKm6%0kNc85!(L;SGkLuS^^} zu^HPW4RRo);=iCc-#eYk!uh=LO9SyOfvJKNohBfss9zDq>6Ns7CH@CH&~}Gk8=!Z1 z%9)f{Yzs7%`WsTYPo&SSw!bwXpGR&gCY4nFca-PDL5z&>d!z1r^3{g}Ar=1v#p&p9 zEgYMtrpFK)awo1V{i6Z-$}6kL6UwQmsmwo-Nf$gHmqk<6n8abm_TKPk!}Yn~SxLA# zRp=`FFPh&=>BKS^Te_J0uZHUzX^V<5jh^!UMjjhwu19EWcx>~T!F4_D@OJ~9z!#Tq zPDCmd@Ip}~|AXYTyo3in7|e!$8r)@GUWz(O_!kLMcTnKi(KFhCT>?1C7yfNHOZPR! z6yhXKRLwFOUpRzTFUu?>Jw7;@4Wf57 zHwp&;Q$ClubY^wFB-MbtV_E7$Nmj{MfVw>G%e)`cq?ps(pP4NR6((18S*g%kD$ zS28qTJ5a2Y#A1c>Gb>RYyQPldAVnhJ7Y;0jc?=zzGq{-3AbkskrLe;#G0omp$dZ{M z-SdJ~?W-D)@14(1rerOriU@UAQ&x&Zz~Bbq>W1aZ)WWa^6w^#ygCI7fT5TCV9ov+6 zFKD=?0s88tDplTwlB}YyMRcCpmKfmIHb7s;XQsBPq>Ss3!M3wl?UZwY4cV}GU4!$D z7YZrKVUaA96@NYAxn@Ei4Oh(Nd7-2DQG znso!3MSl=8l(R89VK~_EeO^IniZcl*?sDmzd}6qff%$sqtR%V3 zsX|xThbWsXX$=g00vzUsL}D3*Lk$~AM~7KioHLS&J&ahke`!nW>;PAPv`67^L-fr< z*6fQ-g33FBJUIv28|%-7$q{mjNKZ!^oNwS%x&XA$QqoZ*$*eK%8I9MB-q=uljzEbL zb(C;435THUwDm}be!?`iJI`T><`~2C&F!dKr7bejYQjxu0uRBJ<1U|~|O z5E+GIjS*+L>Q132W)w*yuZA2)L-^{%$sew;j&OPtJ5kUF-qe`jYqJWa=ob~~tgQ5# zkxrMa=z!zSi<=wrge&ufN_+;n8y8W9-hxoBsB_hQuCFavK9_$>!}hI-RF?1;sw(_e zgeNx_UK=l=ytU!^YImtMj5w8xn(%?-(E; zKx2{%Va+ffPBie#(1wVf;H3?zlUGAdq9Lh^=O|GO3;?R24~8C*k>jAHxTo6Qq}oGl4!4GQCVN25{efJ8+Ft|O4IY7Ab%Lo;E$f%)>a zAo>Nh6mteKoSWA7i1SvAM1knXXpK3i9L_Y@4X!+@V5~DKu-HO%HDm(~;d{csQW(3n zb~LyeAWIBq83TNUT!~OsRaEHNgtCuscBfi#-@``3@(niS_mb1Bq>N2uq^%=3^@H>I z)1z?CiYTQTs!B@PObUI8slH@&Ed95Ip;g#oXuftvl_Xo5D9I}NT%yG_)H?)YLl?Fh ztgor5M55rvs791i+&1Dkc-KW)obTEQpQ(2aSEIHYrq6RxDaooP%DM_ak8t)Ow6fXS zHP^+tWI1qnz5)BDd@7kO>nZR81>)IDa2gzhnURNjp#l2l&s0WostMIp=tYDcja*`U zTRLUWz>l1~Z1Df&#k`xb!8biosEQRu674*$Av6#*>h3fu`QzAhMt}Ss27j6T@u;JO zi$iQ9!(Htlf?6pp@pNNeV~K z98L11O&qnx$S$1Io-{~bM8~WqPcElq$eOj)h8Ar&1~$~MMIv6!O!O;4+Zb~(ezg2@ zMIq~4{Va%TVuvQO+02`(cJy%f^q_$~R$CV;~N>)oKdTlS6g<`79AN5n|u1Wnl%{m zWgi(vA!Urn;D96_njN*eVb)N5^PpKG7PB7fg`m>rNTZ)H+&L}B5jf}6i1%LLs!v1p zz1u1!P)(F|6~2e?N^y3=UV~g=aptwdc{1o&rtSv4axYwJAa}sOFJE_SIxMPbZtkt5 zv|ngAhdZC{vm#Q>jw7lm>Aoa!n8lg(c=rS*N_K|(tq4XDc~n(3h25Vpj(yfONAqhD z>vMqHzE2zNT#x<{2RgT5H&=Lo0dI1ZX9t1|9!fzmU~z&P^FSKI8iP|aW3iTo2N}3; zEJ6W+7D@_vFd-Z-<3JV`)pgW@c40RtI{!!9Y=wlVCVY1gSTg?a-VcYKN=`X)BAhGaCSsHnWBl4tjoATABs+VC_3_00w>zON+8D*5Rob2cDd zfHjSUg*hHUe}=*O@>+9^mMSXonIy6w9PQ}z(gxh{EJO44gGoWkwWOw`XOl#ay;#1& zB{ICtYO2}8Jj-(o)HkLo#DrTU%i3zfb7=y{b+gS$+!ofKA4}VzF=*L|h)dylE3zT0 zi3vGX)m9sxPa8OB%I{bc8&BcyqaeZy4BzKiWhLR~RH3Wv7b-iwb{N6)YGq9OqFsKG zVf)qtYhK{8s*+z!vaI9h)At)0Y3d~g>TET#NG$Q3q^2TYO5`n3(8Wl%yqPzzhjK0^ z2AX`CF{XnbFW)m2^3H+uLb96ta+=KgnH)ViB!vxponDW=cPG5USm;}+u5lZ!vRd#; zT0rN3#{kE$br`dPuQE{I{E7&~$CIU$^6H#V-VTEGm083E+}#ZWw05H=)*xPEkj_>X zYC@D4$qQu_|61aC-@r`!q%rt;;dKT#?t1Y2wcwJB%D+m99}%`Ws2-xHxa%jMq6J;vtp~Q!$4(88en1rDv%{j+4s>u>w$Q-b`ya zXQA`LX+{(cKLT$s1ZjASF=ex>@Qt37iutTys5Nh;H5}EZH$p?fPWGC(b>eNt5Z~lU zMJm?5YMfaSR}0>*7UWhMb2lgx#NNa7%{z<*zSa9ICG?ys2`l}bq^DWn?g;(Ee0Y~Z zUglZgsH22;lRyVCo1tfk!g~zK*S}<)YUWf`x$h;HZj2s3;DPY>8KQ3qMHK|73CJnx z{hGz(U7ZL2Yz-z3(SLuy0DZk#jh9wvD)ob;@{BgerLuVXAp`S0xytyKItutO0jwKw z#S`yR_=q9+8vX?4+r`*oW{*gYbFKH3v4Srle1iBpr*HdEJ4#ygqG+ zXSoW{PO(Z!F8HvMqw{@+CddQC^^=${?2d7(DEXf?{0SF7?>LQ*(1>crKSwHu4xHad z&wg&h$+9qJjHf`m7Ss8h0jYD)UQZ zvNcTy{^EZa6DE9lMbw&ugN3G2zd|a9+sU^d;7Ck!I(*d-eXANZIne~a{kgpNHT z;oFAhYh2B=o*WQYz;_7Xb4$w?+>eh?u-`Qx-*c;30*QJ``yOerS>;u@2&esh1M;AYaj$1>Z{S%pZ{=^M-m3rO`lGb+}|dHmnJlviz8E z5w9hQYTkZADhI{5otfv}bU*S>4b!)%lSHKYR|S>#GxFrc#yQ44p*bAm|An6$oNsQ4 z8`VTZfH}pFl=lnrYTWI(Q20xObvD{%=Q_5Xj#UQ+rk1r+1Ty%eq54{)(goyIJth8$L{@98N8nnzZQD0**@7$X{%mNz zb(zwdMxmvozmUWZgmXSTdo+V}cm6jzZhtkzr3clzA=he2>Dmtkpl1AyW>f|{2-5v` z1K*dyPCGZh{~#)rE%zA6jUuD)PXoKmWm{-zrv60|o!h(z12qiu6>T0r{nEw};*@}?FSXm7%X|I=|8>52yKYnK+impjQS_&|cW zzLMgP$N$7Y=2tRgUy;`YGB1fL_aJiV!spm1SlZ?m_A47Gl8)z`RivzQDrze8Dr9oo zMt5eK6H;TdvxCWSRReUkgh@hpWj%#mjj%%j)3BMNv2MHH9NRuPua8+K470Cpz`k0= zpX%c4V$y2EHE09hW8LAwxk~Kvl(3=KGrGKGjUBu8hU*%dZ{{vbNzQVrB&=Dx9_g&Q+U;V))hvd=;ra%Q zR>e_uRYka(NRo=Y0g-GJbq+^&QH7U~~ zSrJzwj-U}7uJI%huV4yC8tRIMYpSN0qln?^Lw%5~bXNJs2E7$OSiWC1l9FrlnKVw= zk|;-_)uy9q6MYy72Eth$EXLsUt1-fte-m0n)s%G;viP3jA>jH2w0vnd(y@l-tHxB( zr(2d&+;PN-hu>lpq6SayVLK5nK)&gUc%{1tDssxZ8F}ov^$ZT$j+xHPB!=wa=7#8- z-&diS%XB=bP*w0PG^3dAYc;XdBy_jgN!oq%=A*QG2Y+?;~L1cx(ExZa9X&WYz& zJlxvge4cOqJ??N_OGh-e7zyFQxJm z8P&f7^^bslUZ0Lj-6+O}y5r$ggFGAGU%Y+DN=vPDm-W?_JJJ@m#5(!P!D~RU&~PVX zfX_p#n}1bFW!{-gx}@d1;%Cq%VvAfm+{JKx`>D!OQjy9ZsJ0q#R~n$Finv{UcbG6# z->PKk31ce`bd+!!2~uB+uAx0>h0_hj=Y%fS*+5Z&YiyQ!VXa}UEK7Mm_&O5!#+y@t zVZGt_DvGMe!_q|huV(5DB5w+0u~(_Q6{7bGmRZh{BZF%raX-m!!tU!K~<@0 z>IRz12aXNW@}6OrLMQaYS;i>edQfSXbxBNFXOksuZ$4n#?_>QbY&0<6lUU@;u1G3! z6OkMp7YCh2yYs+t?YM+3g5FISO|(FyFM5Y+j4ySJhM8-4|wTD%``c_9bIeO1fA{Y1h^ygXrIL zMWmWdl~hwwgCtpN!!CjDEUN^z2!(qYmahc4D*zf&Ez;jnPialk4#NX0_tukL3}v{S zKIr43+(|?BEl!m61YiE30#H+0G=+_-9wg+>M>r&*Z4B@=F{&bPO(aQ0c8HW6IJ5II zF2t%+m@+t@tBzmBV&)$l4dTCwnI`5o$XR_ax+M>wHehZp%t^tA9mb3u`2FS3nbyM9 z@UE6mo_9ky$4iW1zVU@B$m7sNn8~-i?zh!{HW5A{*AA~x&%NKnJrHcQo@5t zNQXd2^D~HXu`@hmMU3*$Jqjt~p=7XbwI?m~m0(jHBkOfbd$ zPP1LS@{ETR9%G2USFOf>&63J|ESc;*xN==wDJ?Jf;|$d|SS^GkqeYT`QCHEAS9H;A z@}IkXL>hg9K~K2qPkp1QqRM?Dxg7cwAw{`YB|OP6k#yAALPWA#B&n&$ClkpYB2_pz z4Tx(vND(ZaV!*y0qNeUvWR?9?viXkYJN%})ogM=0KFwf#ugt>h`=XrUo=zOyLv%9@m(MQ9?Z z0nV5{$1r^jM9l+Dg35cYX0iz1xmC_sKFyvP{g^KvT{xmH+B zcri^74@evBMx)2WTrV+TBpnrck&Ym0D)Xgea&kcqIySLiy0L523okQ7-yA75q?{{a zih4Ow-11m#5<3ky{d8mThF2J*?-4J$QLH4b2E396un$UyV@4g^BLEkk*P^}3&?oS< z<=c#!Q#K`0<-VF+HdV#jj=F_=F#6#&2J35*3mwyHBv}Q&mS8^Iw1k(o@xRVMeGiu! zf~$xr>h(m?Tbd3-&bChnZYg?$A^DcLDIuh?mV(|$5St0!A=_n$%AK7?GvK~h?Dl_? z;rYgbNhxM-p{kPKOfom$l{Sb|+6=4( zF;?c=4A?mpm?VUY6UA9iVQ(j_yy?4-2TN}`yu$#Ibi6I;*Xh}&0JW;A(039lvz>F; z;Dm$Y*rkCjM(;92XBMMI%wbtiY40YD&ou7-X<_#OoSQLjnP~R9%~5!d;riw}t7?L; zev|=f$a`tXkuW4}kVIK^``GQyz^~0-I@uWBXRPs^%q#D?TuNSTc|UF8E0)edMtYp+ z4<9fl_+GK3BqdR!s^kwUISp&i=*(_J|GAFq(BVTXBG;^bmsOSgVUp7*7G>Yz7LAV> zpl_sH8pS3dWqgzjnOv3|xZ;I#|7Re+#ff;|R(zAv-@Lv~NgpGrGKAQNjz`?=^4+9>IJty!xaePT*_H_o_)qD$7Dq<$j7>HWcYA@!p8= zX@m4N6g9}Gr?k%~Esg!+f5K;1M5`G;#*dWtInvS`v~&bxm_p|D0cf4V=MB?0T!uhY zl48xNLRZ;eAe*gz_8)Q93|(9!e9?e?PczF1IH!`RQols%5yjKQtAo9jjJwE*9<*AV zX8y7ZZL8=`ORx3pV9m6Y-gQqoQvl*0%O-8T(mwX0mK4IOlp@GTNJ3!&4lSj(Ro z^!Yryd&9R4%vXI?DpsO2LtNHX_;&~|Pa}6nGq~JgHhkA`eREs2+$5>U?-5xVo@0Fk ztE?e>-w;Z5JW&Vgv_K(>5DSOY+9{kwQ zd`+!6rCaDJ>L*0;2`0asmrTl*zn>bOZ>Ls`cdv>{{27T0o7;F%!_N)XS6_1jThrWD zZfy7k*~#(Xo+&I*gkKuuWp+H0kmm1KWN-kA_nrRxSX;gB@N0vbz_*rfQdLJXr->}8 z*xwM#b7|=jbf>Y0vD3if4)Q`#R$I~KXkORc5VTa*zZN;61NgEwpa(U`Dx$x_dP%dXv4F>2YLXc^mM#vhMc z-Z7-Yn3=oZ!=H^UzA#dSl+=MDStu+1FT@{LDVQ`~Z!8?a|J7KtZJ$bJQI6X7H`;dd zifzS8cngPy1~a^co14)v+799G#=P_Q$-JddYT-X87*S2TW9t%lgVSi^%(sQ{rDoa$04T4I$8fkRG^H+Pb;pzsqZ_g+%*Ik3Ga=+Zm{qi*p5lKf0 z;!T$RU2><1EUH<&7O}U0AR@TpEDDY-5887Wxuy5?1xa zQ0OV@Rz$JhU^m}zo_qQ@+}sgvy&_x`iG^9wQ`~J7m$pFRvQfsx4YxHopL0^Pk17c& zZxwlT%yq}=>|l4d-5G>21N8ZmVv+Rrt+eTmdRZlJz7pt`;;DJpR_iS#nr>og?J6lPyfG`OYT!eXEYTuHvYf%@9l zq##eUq^6`hki_>tJ%-_66iziD-yVdT=Lj+7+>so~(OkQWOBk>>U~jmS0r{FV-TxJ{ zRLCjn&O}}R0KAC#8d3!Lg>oHU)zKaV~6?|8Mxu2J(O0Yz=GfWuVYW$;P ztW`dpLLCL1M!=!a(1otfY`Zhn#JPS>YU7THa5}zG9u4?>u(~xbE3G!Hp$)fz4GX-5 zfgFLvF{ClUcVhk6hlye3->;bffGBOD3`I!dg>j6}yQqPm5A~z7pX;l3(B3KWH z;Vc96^>M0E0g9mF&L)l(u-GPsEg5@w6D>PP4E;A6@&TPO+-Gnz4yyaJO38 zK!7KKb?uQH#fJ^&7#r5OY^d3cP}NoXX3|-mrh8+EBQnB4XtXR_4AfVhAR(n)mQv2S zFox*uM^T)S@Gu)&rLt6 zO~NDK6~~kF+`-*I0P6EsWI;^}XO-203upmfsXQv~j^-xAg@)^MZnB0v<(#6T@-8Be zJtHEI^X=x{HsNlDb`t)5`PZlvyIhr&a(7Y=hf3V*Lez`5F@y6hkzzP+bja&=5Xv9Qnr1 znCUSTKiKy&Y+nSGcxHf z`>1yq-s$+-^7+m}!px~GtK=@ptXAnHcl=Md#6W#x>!cybik{MTlEy|PUdu4t!Re8n zVfhMl!Nm?Drl1*u*gYVa$}DCk#?}s6oc-Izx$4k2L|@OVQj$GQlywz8Ae`gf977RT z67;%L^I>SfNIITnA;Xv&MJkFabr;0sNsh3Vjm4VypAZbv_au`>tgvN0rHx3V6Djc& zW(R}b2$vuXahBHbd_$L#iZDxQsw#DkRF-U7N=F;gAN6?I$!>%7`K~o9@>x=ud&uO_ z6Z?43^bd#F?X=g>PQ*Vi|4u?cGFJ#GW1b8)e`#Yp2mAOF)66;m50@IGZ!Ax}_z+`2 zuZ6;D!o6ui(erXy9oM#U+gzs+rds3Ut4|2`F*a<3#mi?qcCxZgFQyb}3s76`OIuQr zqpKbAg82Ix_GK>eB&3Y{lfi}$i;%deVMY$3AD8Q0m_Z5?tSBD6rkw zW!_)_PQ<$e?O}$7q=Qx(w$_L$`{59i;hp*w-4RcEl{~UX82TA5y2{B@)P&VmBOXa3 zt_EEeFg)h|iQ!R(>YGL>m$2w4;n7M+PkU|{9%BfnfWQ1Rtf?(?d7t-Vm7@7r9Uf;W zE6c}f&Bx;{VLUuxzYxZi@I(@>cR=~%gC2Kyk|Ftqpyesh^f#LRq^Z;=lgd^qx+2XM z<|LnDaJ~n$z?Y$xVxCG2GlyPori-UE+rqoS>omjD3=K(7bx1l=%@>F&_URDIZLmba z>x5?*-eqrtqmVM5Ne17cR6~bz;aLXZE5Mo>KAcm^vq_=T(CkD%WoKs|16%a{&oMAx ztl!7}k|XDfoPp;vp60Xm()QI`>6q+DxMmHc9o4*?lR zaj{ng&b?l7v=wntvDM}!hVEGI-&9wnR#z1j`dUKijc1!v*4b!q z^X(|S&agM&+xwdLtgd#vo_27wjAFsu7xosyv3i3c-(g9z&Z#B^soEtqCB2a(dZ)U6 z+#EH~qJ=jZn9mzl5s3g9!Gy~jX(Z?lRBQ4>*7f$t@d-397B=1p;g2-|`B4eZU~BK`Pyc%LCJ{VwO~R;b17 z7U{COTJip+tvDfk;BvI$1hwLWw1T6;J~ox%{;E;tvU+$Fah-F;HRQ4 zxAx!&?1~7bQBl-U!beGvrUQdooU_Ki#+4VGhYsQY49quKy411@WtIIgvRQms!H6e& zK5lrvL3L>Xq;inw6V$&Z^pih3+r{zq@JYis6<=7quhIHh;}VOU=H*jlvGw7J+kU$l zu&RU8EqgkhooxiE`m}-iTA!>Xl_RIh%F6!?`E*rxbeh9mWBh*%qr+zn*O%F(!49V) zr?Af{OuHs@N8Midyn*@VMpeUfZ`~ZQ_6wx3#YsN9xHeqrYRrsww-9IVi-zkg+=VgQ ztg`0!OSIq!SYSMu$@$shB+8eK6=&o7i`T2Hw3Po=)>m7;LRlV5;^=#F#<+zYwD@26u7UYpPE`84E|XjT+< zPA$||TYg1bI7W_38t8g(sa*^w6#ovtHim4(mltni)sTvu7*qK~;uS@JTJjrO!lx}k zHrt5&*ug;Rw}yUu7v03^Okzs<9Z8%`%gqLMyzs3Kzc)1BY?{i%s-@?{GSaTNe5oH zT}Z|?kwq2z7h+F@pxsbdxuwYd@WMAQnf{G7!W_ zdbkHup`-9`1N9AT>#~^?mG~bL`6lMmNHaURWIPQ2HAo~q`PB1LQnpr9ssDqRw7>Za z=ip^+Z?BxOIsj7!<$C99f3srMfQ9;M%N2l;(I%YJG5im6&sQ{LzBEp+b*PgjNa)*klUyJHjhXQ&tG~t-` zmJ<=|`B1~AdE?nQBm+trH z7^C!f2y$!_=~;bMKFoOoXv!lKuXAkGsubKb9Bg2BaTR1#k*pRl`EXS}wS7Y(S?LpU zO}LR^`3BBQuv!Czd_=qyE#yOplu|rB9BN>zZvy8Tb^ElRhYfzO$|3UtbKmz@*8lAoTF{wmWHx|C!I&$x5~O(!>x_( zK0N7c_ieKNh2geFe+71*q)%W~)@_F|qq`4w=SXMAQ@_;6wZiQTWuKpIo*X+N=cN_K z4P_tllJ!?-{mF3R{?pHA5KhYaGvVa@r=L5VQ>b5h7QJwLL)qtNktd1oU|2KZ)cwuM z`MM)n(yPsdI~mG8JomiA=FV9kM;G^>ehzYSSL&CZ3pOV@<^RhdfZYV2g zNAfPXH6{Y+ZOM zuT@!E;hPEPfG?fYShZ?Lr#B2+40r`E!gb4;f`32B%Qdze+~o8i@Aqtw$E6D0Ot?zss8Ay@eAaq-FN5E-WHxmkLKSVn>gSoXDp%4b zt>GNSrQH}7X%(*FH1N}1a1}74_w@0q++w#D5L=;rc@VP$+F3yCgsIDen5RXiNh}Z0 z&=NAv^bSMa=USDo-s&#M<7~LZ(Duu7%#9{a+Jdc!Jwu&v)t)80iu@#J z$UGQ=DLNZk3C!^F0@(q&{JtS?cacj{rs@{|vZ@)T@$w{)wj2Xma|1y1{lW`8)$I1B zaGF01jWKIo#$+X9ihjN-HzT_UmyTMR(p9UZ`3k{c_qm4U=RLB(xLz~6zk&H-&t;%i zFjkVV+W;qA1-oSZ%6Z&FWU0%Z3VRK0pUX2pz z`xxpzci@G#z9{##_@a*w_uJq2LR<0oCtg}(tw>nB$GNEo81#OqN!e$4Aem*aLfq&F z86uJ%H+periK?2-2NNm2UpG9&fcC-n>#F`kv;L0ou>Gf>#{mzgK3lY+-5p!CD?GxW z&UBSoNy9Xy#lNh|6RM9Snxn|#AF=TfD^HIy@Xh-V&Mt)vE#61hWq)sYjIm%pW1s_V;)rH&RcpD~N7*hT-qWg2?UHGl`a|BJBonQ{yD|!#vBtCtNT2 zk{(4~1AaE4$3ZZAaHY{6HiU-R!mkX^F^25#r;w}Tb7|Er7O`q}FkIEc$?aarvgcjS zmSqp@`LwJ&pNA3g2=URv3ycLme>#roO%EU+a;QyVZGK-!aNe2;Pd>RZF@$w^k-?wk zt0Rl|+!c8>;>9%L%8*XeZZ9#^J1$9GYPLhB@f7n?VmOSdsg%3J%M5gX*TOva@bV?h zm<_MEoXyBp?v+cJF$%A`oXyDZ6#e*BA>XmaGIi7qn#al-D(0yF}iH z;dO?*ziUG76<$v>IOVMs67OHSTlx*g2H$(1b?Nwu3CjSz+sidqkh|p$RcA3nV%KH+UUHUWF7*O zSx#xw-(iqT`&&ykZ>BYWCt=mHoeJ+VxcyX>vP1c9LRpo{Wy`;z`oLb!fxZLi4%;HAjSAW{ZkgVJA8Wo&{=x8BL*4H?6F&#QoVhs`VuZUw9?F>I{k#zHBhgV^jEPg+VQC-o8QrC-Bl?L0)1pY_`K!4Qh?6xzQ7c z+=rYpRMl1N*NCM@h9TQ54^?72d1rENI(*%5mtM!szpk8-OyvBJQCiX8AewV|)2;AL zL-QTRo^Dl&b2_&)-=Z{^+Y#tHeA{TBdzwMSZwucyNM8mS`K_Emq*eU~RA*(Mru+|$ysxtJrxksEpnx9{ zAdkKmer)8Ok3Pj^PETh#PX+yi(i~pSU^x=o_!{1{n7w^&2B5ol%Km*R`jnlhw(s8 z__YE03bK5fCq1k9kz#&B3>Oi$NmPSvSp33t)o%^Vw_p>a8Nl0zM5R#6+6w+1!K~za zn)v$f4bWG~`O^xBA1L4t1Y8Ax6e%nG(J*|Slg8O9KeP0ilKw;zH#iiLNWz~D%-3%e z0+nnPA1m@NL~`&kn(IsSk#=Wy_^V<17UNaH5VNcz|3)Mi_;RBu>lbpW`0s|i0bg6( zDbE5+x4Lu-sICV5g9fly!Tzi8Peb%Iy7*-!n@Fqrzo^dYlJ1fT|270)b%GD)( zrlkLnbPz~#MNjyz;Viu!OPV)PjT5 z0z_e*nQ!3UCLGG(473{ZO-V4Z_%>7K^3fng-`l&1=AQ$%~psBd)5yv{woNR^b8;-9|;Fp#BAg$^* zpgQMNQ)brSs^LK&@pwn!V8dE^{GzY_;(02h6@Ej_8iFW?8yTE0Yxrd)Ye=j5Ayj7# z9M0z(ln*r!Ukxk-Dy-sTMIJ^Z`-Ne5h!_fo8=9}pmfu!ER8z(gWU!aRvLO4{aHOI5 zdb#xL3MYN0q@ze;doeYPK|;cf4a!%|_2(6qeyFgc6?PuH&yDaI!Z9m?ajLrAMa08$ zzoVK8y9r^XLBZP4oW|%A&|?jBUk3$QS<%N4&DXi#*%NMRXudj+UsiI5w5s2X>eqt$ zmhRq7&EW+Bk+CosxVhoLwOGQr(^q*8mqJz>j*6->Z$T!j2@Vy<6V$gfIA1l=Fi#JwDSFyJtmM`5D0uFN7=eCCDd+E}zD>+P`DQOi+ z?8IX1=rCqLzD_I!o-V%w@gv0?PfT?NCf_+6ZfBVLWdGF$2JM>v0-yK*+6}- zM;!Eb2Nj@dD(n=(SWowKnma>hD%{?%eDyT_x`IldDd`SMO1GJWQ&&VvzpjwdXG*%G zk}zhUXSaH%6_L`fE2Q+9lI~0r-#spMo_u1sivjuGz4+q_Cw`=uyK06`#};tzTA45$ z-$R0^+zD8I$&;dzP9urkL9Cd#tuSCyYdGETmLBU@YkktFWUr#G>@{Sw-ZO|=1EH|P zT7&h~d;NKZs2?h99bs1lZ2iWt-e7#wp?ZBp8j7#qsM2RpT1FM|7Q8c!ysuKEXk_JQ z6+cqU24YxTdPh$<%Yb~vr9ZC}mwu?QvlTWw*xBiKFNMdoBAEWX0@Du_wuvyV0OJZo zxy5o6&M`EfKazi6!R1etx0yV)fvqi=>V<>6#n60#>xS~<3MvUI=v>VhE`jat6<>U- zLHRP4e_x^HPnEZgJa%Ep_u16x&yB+N6(JY*d_+}|=Ml+1dQWF^G7R>>xen(WpwHDR z1S**=Dw~#gYjL=T0s5Mj^7Y55^@<-U=3-)4Z}yC)aXM*ABGQL@8W@s}0#%7} zL#Cf`@l%-%GC9nd!nxpk8I&)ak!g`3q~cAAGea@E43CR?IcX?9U#=`sd0ypzP;iT2 z=?ieA0&5;^gY-SHk^Hy&oNKKdDK(zkS{NILo`Lz= z>&06YQB~v&k5_^*pWyret;qS-j;I2>eTbcj}-GjV)%G>ciSB-_%OzB zc#vWF#uW=E15299doX!?JJUUe;UR|QdppywD^E0irlg0GbVZQP*ccvWAie>g-b#Dx&fMI@z61uOTl;G%bJ9NIoII7E*# zJm1n3(?CR)A|4L}+zGKXlJ}-37?95eEs97=SNw&7p9t_l44&nUfd=Pm_&t8Lihgn? zdV!v@Hqq&Vwb^XB+EXDKh9Mr=O;0oOeTE^vom5hMriFMqNXVn`&RO{?&oC&Tz0=nd zmOfP2GXX;b&&C2CQFvbcSq9mE+|FKJZ6Kj+Wz@3)hGD099$)zMTNtV5{7+O(>lGv< zWi33{;yxEtn5ix=3VoiT`OFl*nNav=mHvE44|yU!4NRs3USJqL_dMLi6>gO-Myc6T z<-HI*EML1~iIbBrGAN&oz^h4l@IV1C20*H7H@(Ej_g2^LM0~fqTcy7g($S^%?rJr5 z@dWzI48hl>;@b%&K2y@mLAoK6vWB{Dw!YX{!Hr`)KS!@H;4%Kw>aZdc(!aGA3985| zRgpN5jckyAO!ATNSkd_^qsW%Nif9L@9?y(?RpZrAqYz4tU^J!I7`U&k_JKpHB3}z+ zx$7FHy6AO=en4HrZ*V0uieGBlXe%MDd~+MrOOp(noG6dFu%z_ z`v(lpHmA~6fj2_|Scv6izD4{k2I;d9cr_^`9w^|g0AR4vAEGLx+6cLR-qBbtTj zA$pHt`sR_VJLB|_!rlv5A!6Q)gAdh?kC23vr_qF5g?YWQqHd^>4c@tKl7tR%ijn-}BG(?`}sif<>R z_)JM31qlsV?^W5w2?Cx);=OMMIqs@sD<)yvU#b!xhZ2Xf{4kkDpD<+KLbC8~f(uWS z@kub?yh@nSRacT zsQ$i%ret!CD)m_?h1h=q*QkpV`Z=S*U|$uqbLRq*y2u|Z^7B98Dp=_{luW4Nz6=~1aAVi<;%@qiLHQbRcsHrO@I)D3 z1tX2V&;aOb2G)PTakd%!nS#HrU|w#~EM)e-VZgqg!|OPjVX){;?Wgh;|4rZveo4)^tYqH%5<3`<6eG=WAdFrt19`>LHTCB~tV|qk%7y zD%?NSo>`u6o{k3!_&ory8q>RZGbty-{$LnBtI?IWlg}I_D(R0PA&kQLt$#8UUl_%2 zCItRjrT-by(Qsmi;b4dUVj#Ylu)4FbOvU{bxT`a6M{#eNuN1vALOWFK-ypVNS%(+s z@1_v@Ygvc0-10vF!v|TIIhX!vFutPjo5=^^pS39ef^;;j=&IAd4Z+v2GDp9#AR<0f z(tkh-j$qh$M*lS+rz03%PD&#i*%Wg%wzc8gG#5L|e0WrAiLTC%ir?R7nX>m2SoTzT z2PrQcsD|5Y>EJc-viB2S_EdR?fQK38UF~j%|Hl`^)pZ^=mV64xA zT%}$E)QSWhOeh^@_y;yY2ZX9}O{j7r7cVp2JwpMCceqig|2f#1tp9BoV34YH1k^(F z#z@MywI6BtzUD12CoMo8Ddt*=nO))ozvtZZTF((sc}Ly{nB? z8)^tu;B^5^gPo8Fy`EtnkYERr6?}bw5y{nw>ML}#;rSxD@NQC_;fXSC00wH4w=2yz zai<_BT#hj$->}y^DivfZ?}p$V%seEuZe%#VA%ovc%ELda^czEZVSZqWudJP+V-3b< zWUCuTkgCYzfDB8`*uTfrVF4D~m&v!*@ZyytJO1U{G@bcCk?`0DQkp$fb;fFaRc=K~aY^t_FM`Mkhg@^(_L_)JN+ z1qnSl8*$gMpGc=0UjK%Xz1x4ZX2FVGrv=>IT*2MbbcO-?3K-u`3K*X$>2@F?HW((p z{CP*4cGH=Lx0X zPGY*FQDlqj%c`tm+1FWthA1Z7kU>F{kRvPm=iG~cy=WWQ# z2}m9(W*C@*8ME`MvuKlH_}ou^GXe0=Dt$Aghm1vQ=ULtM*)(DZzCj+ZCI}w(@Julm z0|PsrpOdr2fP8j5dq1INPn92FG}AzP*z!Ga#R1j8_u~9w^{)0ARrO%@8X7E(YN`iaE_*+rW>1y36FhvpnVkpkh1t2#Z*#7{#(V;oR@_jim4w;k$YksF1?1BcUNn%6ZUZ9o%`)X2N zPI&T2F;@VCZZKAFj8D;SL-BP3t~g%8UUc(w>}f?32Epko2L# z76Ch$Vfz;5sckqu$AsTZ5d5=BUxM^>9r4b_(h?T1BYvkV4X}Una0X#Tf+|8#1Rb0G z^fq;2C_9Gj>)6@*Ns+Us%IkuMgkU^Dda1tHoTp`j+{Aydy4z9|kx+}jQ1BiF4@z1P z8#X(%*MNOxtxl8#sfyeOB=Xb|$&EQIkz6rQ{?Sv~%F}kET*Y1mEZm~{a<{!{WR&h{ zcs{oXZ_l;T791ri>0ThA(^GR_vqASZ9ABpo?HY?M8UN+#tu&X#ho(SQkXtlz`Ck-h zs?!6Y6TW6=LDrQ%&}iZNn(^(V`0<&N9t6^jnUtB6Y_g2k-_P=Lkp~;}c;5=h#PrX+ zX=+Fqs?0;6%t26Qo*rtjzJ)k5Y15s_Z12M$8a2AOC^h#eKiMWes(?57bm;MhwweEK_0Cvrxr@S8fhRx#w3Il{O;0pXUrW(h z@?xKl&y@5ekT484!rTsq;U^oGb7<1{lS<8`D(@-a1*@ta$5Rc?=Sr!=Vrb&UDC}uk zxa{Tudb*+c3YWc~;IgO6dxjQ{;>HVlros6Nr>`e8eWI*><-d4*z@FrRuB zy>d+$c{#zzBgMQ*F&qT$Yjx?>Yr@FO2}T|%<~6_|#|rPPQ{RXGVJ%39UTc7(eZL?Y zU7c3WP%%M9!qwj>Ks9(BGzd1DKic99uM&B^A^Z9XzByh`p!!f@ZvYHK9ZzG-H~2W9 zHyW02sEcnWsQ64tZvqKDQf@(`Hyej_F9 zD(r1qre#7Znci+tzB0+n2}m9(<{iMmIxj49+oyLLiqATScN0i>qKtQe0Z&BExyJh8 zcN>mxu+H93SlLtMy+_Lw@>ld;!}66$a$iONDm+of`;;-;SmbqZ?_U!myqlH<(vkJjHwnn8M!DaEA}?8QDu8Hozg)rFvjdvsCR6XOb2D5unvX z>}>C&j~b%iMDW{58DS#$nUX#R659DC%gyB`ecW(-ZQ@G2n^1x@Wqbk*e6NNq+4`h` z_`a9CoKWPEVm<{-bhL52QincmKt3}RqvSL@st*dU7=q~|{HnSuPslRN9&eK#&GEpK>IbQ+iU~u>>i?14pFRbP_lWOFjRr=Q;9a*l} zN=EB^$jC07$k)Oi^{*S=#eJ)Bbvu%ZS0%myCD1Q;X1CjI@+zHg8m_Nj=<7*g^`XMP z1sIY^jT!p3!T6F%jr8DxMs{q$cOV-1Y(A7LyC{dgYap9kbyyUUl&AO$Ez|b^E+m(w zQ+DY42F*YA=>@BQz9?6*KL8ekKx1|xWMhA5cs{$?yKFMbQ_hdTDVQ>8Mf77s+h0>A zVio!mK(UsR+B@6v0tfo3LHfqkf`sH#7M?5hXG$I8ZI1&(Vbvb}d`;8^mQd%T?s+v} zLM=#E>MuaWhg{k{7go>z(hz;4d3-ye#b-+T6-eTV*Sqll=+_42>*`DM@_NdO4;A(s zz%ZkGMTbw5|E&S}W_0mt0>J|X{0;yNcRX3iV=Lxze{U$hn(OTXnM7s%0j$E>-m!Te zBL8S;>sgoTVQ%#f4xtMC6M$$Gt%bSJyZ>xpzM{pqlRAvgl=K&naG=dpSRi=m*y!ZM zU_2G}uLe5hDxs_dmA^q1)Ureo66F8g=+HlNuC<&?NZ9$~Y`5V* z6e>sair@541NE7jf`o)xc&!!Glpnb4}Q&X4~0O@84N7`&gLvZu;B2)r9`fuehbiG^Wa z0$dOGTO4fABm9T^(|Z%?s=^^q;b4|L-P%Wo8lumC?6%SfjU}n{Ye0IK!jE$Y>#+Uz zFoWR_=_#0sD8}yDq(Wgc@HGKFj%Aj#T-=#c7***8S!o+| zj3GNqo31BoWvj_<2+@c?JBu^BW{7TN#QS`2c{y!&L7tZ2#=sPIfK6e`o z%T(NPz#Yw{QiB;5y6Cn&!`;k(w_o_!FI5=cO)%k!GHwnAx*g3nE;#Efx`l!G zx}Ch7P~?$fZV3z`dR|`MS>~1@OFigT2DgR(Wc4nP3Q4f(uM~f4;L|0Eb!zNt?PeMSUOIVp)-tl-?)ue6Zv?c zfZG88^%wc#;xmnWpZfe}BA$O%>1RQD`jwgsh20lt8{h%?N=1Syat;)M6`N_z&cby+ z*N}ZyEWVu-H$GF+c_3lRBlFnS#lZV~gWSY_RNXVO*ZVtsB3t1X03Py`G%sgpUud8{ zW5yGC;q|1T`cPpP0R{_@AE(rsS*+9T4btmd^Kp)8LrUc;_71?NZEB&jC*RR?M}t2g zZK_C6MeYPe4&n0i&3wFR&tQFh6R#$fj0Xx>uYfsTKSu*=0^rpIfCmcL004%gg|Ibx z&=7pXQFu2&geS__s0=>EYUxTES`#C@n=rx?WekIXELYZPXp`aiCUvs+6IS+Ad7Ht5 zH3@DCABi$zXg+Ha-%eQZnUXFB=@5`wvklr}Fupd1S5pQ*P{1ev@SY{>gNrX{%wT*S zI2Vw>^2dtY3M3p9bSmo7xWV}x6nQy8$s@%~08<`=^PQHw%7RVjB?f&!V{oOYLX%o< z&Oa>k+Pf(O_mx{-PRcEh6f+IXA*fzHhLN@zh_A`u)dYbD3fK++lA$pIx@6-x-}A>C zlK5DP9R}BbjKe^T)kf8US3$PoF9jaMj-JdFmwR7k&_2gA6_S)W{gvV`2Od#Mqdh;* zODOpo*bd#ruzgWVK|%s9JXh*nK|PkKnJrq^SefIk_4&AWH>1M@|Mh;m7Y3s0+#Tw` z;PPN1n`WqH@IHf^y`NM-_EdTI0Poba`0)ZLJ-3h>U~7rT;kwb||K*Ux2vhZTLOsk; z+oQL`R46r!O1>EaE324uw7&}+)n*3TAmbVP=P;j9)1jtO!uNfuduEWT$XOsm5X~8^ zy||xm&ft80C$AF=uP3cRA1Z7YV25z|!bE(_fP4lHuNp{x4%-y~paS_)Ky>n%Y2@X0 z8<5YmaZ3pzP>2Lrl&vM3S1_Oc!#h|eaOpGA!kWNh6(tBrz(v^#UIaL#>RNM)d`5fQ zAe}=~csYUbv8^mmF-yRN^aoEcEYp>S;`28s0uee1k2IXr<@^bQt<&k2p0tWs!7B=nSd&%x;I6nV7zMX*LGbP;%q%eE5 z%zd%Lb4QI2!qX{(j#?$Ek>4@xR9s&S9Czj8PQSPj3?&DI?Lk-Q>n3h(;+X=8ow$dL4 zI)c2-(_^D?RC&0;`hq+-Athr_c1|Dgc{G-F-@wbXMIwYkn2v+E$ z0L5a<==tb1Q1s|EfvcS#6|CUL01W@9-dW+*iTqU`YluE0tFI>o)rSgu9AKzgt{C0l zMUP(-uXoC|AX9ly01q}$Liw1@e4+vRnr%@;Qpn;j6#OKBvBlTAySy|RyOTQfWTV7( z{^Qk$P%EyVXRRpJ=_$|&`Eow;gq~{fzI-{qnG~IWR_RZJbi`G$0bkOkryGWE|9ExN zy(F_q&j1XKb{l({8(W-_c&1_b8ZD+1X884_P%2YP_AJ0)%Q;@d`M&gQ!}8hk_;!Md z&y@5WCCP4-v*@{NBE`28QhcVQ=YdrGS~K)~!`kn!mCZZ905FWm*?N;bEna}Zr#ijR zFnv8S6H{#c*~2JXOZpN)HDdug!6pY~D0=?ak_SXmwW;aH>12EKN zO-~i$Gc4a}aK4%>NHCu-o>x|@X%XKADiYpVEVYg|Zp%7@cN_Q!|5>#Mk_qS^jHz^0 z;5|?v4F=;vKYFj>ACO=$3RnF56t8=Kv20ncq<_D`Z|z%rjRsYY2uZ46f0ZFri4Q;t zv@@(}Z7nV>cju+0BqkvFVJ_l9c5%IvZ*rv}Lu+Mu4?3&8IYm_2yqR;Qo_0 z+T5+c;$UTem%~)AFF`MiDMK7+Z*0|h+OI=jHj4PhlqO5y^e!YM^-z$k)USZ5Jst-( z#6xlEtA_0F@dYUfT}^5vs0Lqy1}B#`KUqD_IqEQ@_I0CC{~-H+Y=#L+Rr>~1!zY>A zwsm0J#*y)jL)+<_Mh)L)x-eV7Ye|zDDTr0%w}3=kzqFTkT^f`xuID!s3jeIqzXR!T zZ{xXc^j$;nxwmDf!o_Dw`W{FK6LqEgp89+Xr$y5D4bnH=pkj)BN}s7{W&Z$d#0SgE z^g~1Q#Rtpj#LjXytMem>*6xC#4SNSMK>pZp{N1G>CHZVRKt_TV?kB22OwC|UaA<~4 zbor^#fPd^WZm7+wPSB`e1^*0SEI7}47AKCoyyzBl0Y5kJi~GVe3H^tNOuVY_3#b5J zh*u`?7D8U=`b)$0`9k`7Qs4SeVZQyt_1bWiXHc?C#r+02bWPmj$xC+V zw}$2Gn(^(VWbv7jeg_iT@Wyr{*+KYwL-e&_KJkj1YWem-Lr@L=01e>eVVRetDE0wg|X9QEk0hUWX6*_c__ClsG4 z>2Dw*zLxnA`nv)7;_H&h6nUhWe*goc%1M!b8idcN*3%;k^Xd41L3CkmnswHi$ z?-c&GA^8T2>Ti^b)^hy^aCCF_$gns9hVj3K>dV9A0+QC4KUU<`*ozA*hhuXbl*^k2 z8hnsMhZCt+=ie7MT5e(Osw05aExD1eY8(VL;A+g#5*=)qK39X^Ov=hXtMo%4yM29m=Ggof$sNsTnh}?4Q98w%8oJ+pWTp`6N)@i%(a0j zw1bWFb95bp+TV7-G8K1S;Ig4*Wr^+l^$hKQ7+UatQnoO(;HmPi58feMiyb)ZM;nxL z#@>4Dkfned0B`~WGN&m^8_2nZyyk8v9b>>#{6e+K$VBz`zcfV8IjYnRp%mH<-+!~S zJx@0>cwgI*my`OHM~b;IFc@r!K?TLnZ@qzemnRr#q&9-p~6l9Og$fj zMyDEUxjF>KI_5foAS#^IpvXJZp&hq#kIR=mJjO+nZ48b;k{`ch#}`Wv9fKE@1C4# z)&@G;riafwZz|lVM`swF`a7PD)9XvEGxz{4ND`GA>ncR6dbeXj2*V~;aQ{JV)6jHn zYUJ`EI@6&0SBIc+T4&BpvnWn! z=j5duafceKhL!^LtHR8&y*4(a~Tq0Td7l4l_Gu8-dw?h{i>;(>NN%aO{O1cOn`IKYr znPnbKq;79-Sp84dlOoD?>AZkNfy%oBcu1LZ$vA~K&E}*wJu)^F+U(fK)@{>6bVtMP zZ#rT#Vqv+l3Qeg(ylQeMXaa92?_3+3=ycq7FPP$mj?LNSdAhUFrGEe=x>R=FUiqrb zdMJZ+VG}D;O+Gl21J>FwpS}{RWn_A2j0TJ%{bxl*kxmqqf0AKFqAOySO41zVlSQ{Khk zi76YNZ`ZrELB5fchIwlnOgn8c)c#WtQrokTlUH|%ScQ)Qj%5bitmpY~%i1O$DHho# zaV#}v$o>7s*q|XKCtI0{-3qMK@$@ooKLr*8)VN`KtXdZma%Lh>ffE2?b|((NQ`nSn ziGlU^xTJt3gD+$$XA&H#&)V?JNT)C`(Uie?`b~CB0}Q5>sL*LZPYH!n2WMyzhH|pL zH$E8ZH0r#jV4G24oL{OA9i_yT#h3}Ub&(HY z9N&2bR%Y%niuIrG6UCbQ8qKA!7c&3&tD{uEOQD|_xM2OD-BjzUX01z?8D%^ls>Gh= z5|w#5m^em&O$*n_kQQL9-sP!r-qLBn9`jaJ3s$)5aMxUisg+J`vdO#uckp$T<5HD$ zH={%Us4Dh)Jxm0xv`nhP?+!Rlev59?Sd-?Op`Myop2ZcC=0ex=AFkFqOWdbKsFLpi zG8R5etc>xoF|@M1)!bVHdc*SUY?G*N;QZsN@SWk+y!DkzRtMdL1D%d7>cpYZ;I2CH*6SD?HH|u+Hd$#hjBr(B z7HUYph+0d8#$Fz-Jf}IM1OK?{x9OvU_>YjR3haUc;`Ej{{loKhUY^l1N_d=JS4G9nD&Zmx{_Mdlh4aJbF@Gjuuh~Nu{m~kp>jP1~}L3`@D>MIuoD|=7Q z#wV_ERK;5}2Kj_f-Uw>go|FL6Rk@M1B9*!iREdoSk>imtdByNNu~C}X$%QHDDv+cl z>xY%Vacslj6y4Jh_v^#vaut3rz>nhI5r@!iOJSwWy$!X0f>N4O$=E56hN9s*n)i%)0hnFi$Czh_UXc+Z*b<&Gos4>oJHGUsEJ1@p*Z1<3zx~%nT>2#(0Z& zo1Sm5o+ex|zfcgX>=%G-W*JZ?$omc~&S2JoUT8G%1YCWRy+*uh@*-#=-8dT-c#T$_ zcTdoZjRu}vNaZKT$}C7#@Jj&3s_BUk2-T+Av)w7a1hYvmHCRtTQsN_L0+sl(yr_~A z4pq`#-iaG84bw9ml%|<;nTmY{u!YG;HIlD1$cr2{y2NEQ#_?4-jUz!GnPMRDYD4o_ z3{H*Z7O^Nzi}o78B(1y=^Q>E%yiWPGhU7^rmy`>#l=C`plH8F520Wm1?ucFFm^*sC zL9f+kj6Ik+GSK)5~97|7R#ON$9&|3}B7gZ(`+nF%MybTx`0LJP|OYG3r z!bC8=-M~DqA?NQPAunDcQjzaSOSZ@>(cfucYc3fJQ_Q=7IXPH5HL<(^Ll#iT#6-;V zz1zUIIxIq^y)8wkO7DS6QrR-Rqw#L%2=2W`1&_(E&*Pe3%tYk%ok&&c`#|k=FkXUVUerw4*)I$9miwgM5vnFH9A8dG-!{%FirB>B*6;o9L4Uzur;%o${DF6RO-#fh%p^ zq}Ind3jMSpdm3JO+P5&%%7T^t8PH{NT|$+~cnohCIq9a9kP}hUzaGwr5F*3>&YXv!!&r#Ef=jid;>a29w{8_h|eib6MfUbJ%h*$ zj)vrIx9xak1KO04tK@HioX*r?q}jn~2TU8%w+)_uT-A>E9m7Yd&6d!vWP8!M^xGTExgAE1aN4rIL=V&^{^ zt|#^?UHrzv6!a&6qUVi8(o59j{|~EYdDP(G`OgOG88FgSja-wxa+UuV@FmN&skvC3 zLHw%$dwc=Dmnm;$sXPV#4M6euVu)EQ4AAs<~ku;Tv#e2lWfm|oj7sIlcg z4ck-IbB%c1abE6dkTbc8{#RadS<_S-=^#bYnp z(foG}@X8cTE?41KV^g7PXw}8#zuGk4-dUgT(AD|Z#Z9)X%&J~Ve+wQZEB_$yqr=Nq zge~|+Nvj@g$eu=CvXoHeDesVy@**KN-|k?A_MwKlpXJRZEB_jKd1GrF=}gmdlMXXv z&mdjl8i+(CUK2zaJ<|AnYI$cDTR-S?TXvc!`^8bNum*_eM?1>pG3L8Z# z^SWS4Oapsa7*yzb2I^^4=@4ZkD)aha#+-<5>fpv6rf`ooP)};0&lGMHtK=JiTwLWc zG)>1C;#ya^3{5NLhM>rI%%-S$b$@do-N>-kJ333B(gmSPy>U*Bt%prE=jBAsSn zo)NXe0zsbAZVFmr@}z|k-OK>@yU}Jg{^npF$33sG)o$a!v~0DT8X6qmx{+>S==(Vd zZp3TpZwXCK44P~j8I|aO%RjxV)tTOfP2b@W-O4C4;;*)-uRVqnLr_Ii zFNoDL-wte>XyFwcbf&?2hTDqn%!wA3sKm2CEGz`jVc~28^w^J*33D?foCBIfzGh#B zR5hJzupTej21KQjwY=vQG>9|0QAbID(D_CK{&7{8wK8d$h*lLYfC}O^7d$HI;9-d( zU1)Uh3>j&kE*GpCTm%hLM>b#dOSd=l{c>b;xeC7n;F89SIj4MHljRKz0v{Hd2alSD}hE41ECSe`fkU@IJjox)+iA*i#Fqo3Y z%d%0l$?!aWe0gF^F`I#jsZ)(pVvNcO7G8QlBZldj6X@&DhxMc)T(!6uT9{cUZrU8# z&=!ODbmP9WP9j&yqd9qi=4#s(d70eqkT<0d+of@34*jISJ`C@0DmqKRiyW)^_iNQ}fx^LN{?NvCc*(5X* zBPLmD);$bf637)qDs?-kGD-|aH!P1I zcNnb432Rs{tVgV(F9lk{j?7Lx`+ zU(aWGa$!ok0wj3SymT~v2c84kwsm@PU~miVHbhS}(=)kLCRy?Gz)Q-qcIn90!O5Xv zS};&g59WMR16x6p<*6!BVT*vJ>r4hZ*j^bUr?vrmN?U0ii;`7=B`6@DHJnz%3#?~W z=t_h2eAbeqZ-Ou-5lAw~Vk0qIGj>V#aOR<7VE=ohkjPVB7rZ1=5I;WiH8@z{!%>zE zeSH61jWUL6v0Lva~$+0!NHKqQjwm&Bg@xv(`Skw}E*)wRDV41uF4AAd2}7gRrCt zJ0pDF5no2ZRWL*MHE2&CP0_q z#ui6cE?wnXE??Do2-Jy7^JGIva0lt32JdNt64xmFF`Z&w#t2m8Gk`oHe1JH_ z$bV$R?AG=M-ubheo@wZwNxF(Cr$oH!@+{~g$r0%Vc?YFu8x1_ZQfWWPWh(YLIhKQs zkwLx~sWv@6I=*9QlAdd@9&6L{!L3vUKM!EB?>n0H-R#fAkNtc@^#rneMM6HXCn6R3 zf*gsR$l-i2{DWR-ke>SOHLHnCWxfbZY1MgDhZ84v(~Aw&lY8ok>59Q(5Ub#q0GwnB z*a(JIJ})&~PX$+G3Zh75z6?yUA2MdMEp65pFwk*Q=H-U#X-=h9tSD8{uK-$_lWa=S zG31qo>WQ<;{Qf9Ud9MO5SwcV3;bcw7n9-{Z(^Jxl8qTFE`86O*C1-tWWNPcSv7yP4 zL3*u0ugOUF%2oL50FS;&zH|UV1ijvnJ%e=`5EK?8K%z3=0H!!*+u{k|SqeR#W=C%{ zaF1iwW2&m8t0HfLA~IaWzKk^{x~qU6acJM6Hyc$v!$rl%FA=Z0yal?*a1n|Q02Z2T*)rOBj%-8!7+ZjL0;%UB1@cG?1D69y#p+Xfa0eSmp#j6 z$XB3u8u)|*-e=yV6rwu43p(|hxNzbe(YuW%o{rzg#EDczzXxdPd$6wPBAj`~QNr|I z!}at%aP#Un5|#NrFlD`c4QXNiWa1x74)*q!Fi=3q-CEB^!Fryi+%o^Tl32MvBr z#!h>EE?40n0z5{9ayUD82Pr;BFdaVOsY@R=DtM-5dC?4?agf)&blX~waMj}@&?9bh zjfMw-icXz<)TrP|gjCL96$C5(W5CNdkirMYN!Ao^r;i)D$BXHd?=A*AidFU}z?M`V zrgCLl+b0duGX-C_v%*1?Vm<|ocn`6HW&Z_z+Mqn9w6Bj=*u3)@Kx0}DXG!O|wa*%= zC*DbiQr;X=5U9oc9Eg%qD-7|YBU^_yOb!ifq0bwxr#ttIqGgg*fiFM-8MP7*og-fQ zqJevCXMew+r7HMK083iDXF-#=9h=!nr7s&DJZ?l<@qMJLE?hn?VaU9OEvI>ZY$76?QmA(Oz5bVrfl$13Jd3c^uDHbDKqGptk^)LgE@zXP~TK827m1m*Ny z1NHRziWoEqRND7Iiwh;=GR1hNk~9MPz5(-(YhR|Ah*lMTkgI^{R@w24cBjV!|In!5 z$+h)1y;9k#!;heYSf2cJtXKm-Hh53?UwJx~$W-i4fQ|7IF4_pIG6(C8T}}F_p?Z9_ zlG(;wqB4I5rVM84+f4BVOI`Z8A$kJ;9`l}vROB!6Vh+X=oZy|pto+hIUER3q_@*dS zvA@c(*`YU`E_HdC^REro*N00FHo{@~jCsXDZhU;lSJ)NajuEPHYxEO|PvW1iWd?I28a<3cGFE?ZT&22_wRKtG#={qd)GkzB`R#IM<$4lG-yv$-+xa%#47n(dAZ{_Co{slKad?r zI?BL3<*pb%i*l8IZO|pB5RUa6Y%i_Qbqv!pfR^l1f-L1+7aSR10*5UvFB8)F#~p<$Yfw6#7OtmaOBEQZ z(aoWe7>)SX+^fREHoAq;V!cC)o=<9oD)yGZ$~v~VZa?G$=vId5$-h)A+7AMicWdy( z7DwI)qRcMc#sEF>e+5t^D)F`;_QW+ChXzN+`1bYF4c0Tb_S9|GU8Z@xNRX@Wb%0Ax zE$p5Z%Y24Gdp>KQExCz(z8$!d=F07eI2U50&NOiTaaHfKpN%TW*0P@k9i;48Oc%#z zI@{nq4ppBObWyC5&jDFVA00{gj|5n}+WcID_gLr(S2C5X8k`3W#8ATWz>PcKFxP6u zSe8;Q07bS+W}PYQWgO$P{8~%%D|DfOa)h_)XRhp3iD=c~BIqFTYt-S=Hqq@3*W-0m za9NzP?f_OY18!n0ZU;krM#miueLrWwOChS$ouHE#(6G{GvdP_qZ?d?v(ZN##B@1n$ zIHj!zO%iQt&@=65z#u)Hs>hb~h*k6kpv3`88yn8TipN$C8Vx+tzZIW7ZZyk<0*D?>FJhDKs;wDxe04Ie);AQ#_nGP-zrVdaNOM5_v$dsPsJMpp!l z97q)s(W=75P(jAokcf#fflMdT7Q^=pcIi}NuTUkA=47q^EUk4ujT!QqM)+R23f~I2 z_-#Dd8FICHpy{|Fdwi&#EHpx#C{U3TITE4JhWZRI23W?OP;`kwdJ0?Suo}5ao&;Iu zYT;I3(u$@G(qrh#Jqd_Y(lkgCVj(BXyJ+XAzA(HzKR;3L?xJl5>WOmF=2Rk8+1tUs zIggZbb8%TDSiIGlb{J(YbqumqmA)EGb-WZhnhnLp>k?tyuX<4VrU+}ruX{?S<1L87!o8T2{F2xVR?dtzNs)J-W^0qo`mGo_WJxX z-%(vNJkRt_NmfdvDeE3!Ny3f4c3kFNHzd!BhfZ-#eta)YJiMW^M4ARqduo1DI zoD|Q2j7n7AF7TwW;zax~0)*^h%Md-;#hol6Pg*4Mly?PqQm?Sm{N2N6pyj15?KViy z3{D?QlnGY$e1Xj;mBEH04H;&(7uLWon=1?Bd_l0X7r~Z#&Stmy@gta%Y$;EO5F#lG_)`l@T7^{khfx> zo(^3y8mK(wU6q$Ip9l>1JlxX&JuSQM6kzeLhkF4l{yLU2&o}q+>h;0+PrA23dj^Mw zh{^3&uUswjeE>f-coFgYXJM?QV7VRgKABE?k?w0Wnc}w&=&Y=8RI~d*GwJYo)1dns zB|NTtZ+puHD(wNFNn7KN6?gd|=lwtf^mx^sqCb#`Q{01qi{Ct7m^9JmsG~{rV8e8M z^FC{nqFjYP1n_jr^sXkap?Rpmdg``fPAtiRJ`6kwRzg2UwLaXiJZ@G=7cR_KJOUKB z8~ND_$o4(bfIKr{{myeJWc?lmVsrp72oE%_Ty9Zw6q_?2ZLpr@LFvF0hTnon{d$kl za!#xiPTHWy8lcBRPJsn!%6c4F(o&``$3cS8Nq)S6c}iE(3kxEZ_=L1{a6b^+KG6U@ z<9uhOa7{G|7lkS6NkGXsU))$PJ~BpE33=$rhCSx6dwn<8TY@U|6euLQYPPyz#_g$w zeU5{jSf40J5l;g`k|Z&AIM{9ypV_dFo^DW{j#7~_RGCVBMov{H10xb&T}96{)b)-6 zR(dW`sA8W5tavThu~z3BXJh+)wxN33uMK-rk;;4ym=g4$y=~_dG~duj&o#jRy>}L* zDeHM)iT#ly(DF^0^n3&Ke9f>)wBR&^Q`&NwihTjFsV^GW65-HKdZ8ijmoHintoRq@ zrIwC_nvp9)=*5QZX-#$}&k9xUOTd+kf93-t1$^1iz$CrYfITC2uR-jQtL&G7U6|Y8 z5@X2@z1(0u&PmDKMii&CSL7wttPlKyp?$dU;*|#JafPcgKbce|zY1jOJ@GRH_xsg` z>GAh%cP+?M+G{`)pD&vi#nchK*6=)?r_ZD)WGeG@U=}vn@TG$EdV}-$LM5AQSd>!U z0E)DiSndg4#@(ei8j{DutEk8zPM3aI4W$B=__n;Dv1{l>3G{Y@bTyjt)%7YPN?=?72rS|5u6Pe0V>Pi7_8bg!@E`n-7q*Ubb@8U5z4T$DgJ;TkzIP2~sc_Zg zBhW;`-Vh0Lr^PrXU5P$wH1L>;l9(_Ns^pJ>EEXzuT)yux^gjBy!Ft+Qr@Z5;Or?GT zRPh?g#s&WIB%Tmzi0FrMRtQW6WR&*R0V$z;F#VGKFt*0SxMhFNKc-p%%6cUCH(*-8FY##`EVi+my-U_5Ivta^%Q%B zD)~nsOP|FIVb~H&KQ=&*iK?0!3=)<06VRmVhQ?G#Vf}Os%#v1=OH}61z>KNnxQlyB zbA@j&UIVc5ju}W);4kt*BBd8jqM7Q>w3qqXV#DfhQtf^N?PQ?WtI7F}L#{IVtx?6}*HnH3k*Uz%0V?4^@N?zx zT}~qY-Y`9pdfJ;3dCL0(cqfNX(Dxt*`lI2GJF34oUg*nEo&J>9L5#7-LL5MUHad7Z z_=4Fbkw{eHUqD2Dm}fX@joK1B?SC~akG(W*Mx_q zyNmv96xiY@bI%}HEnk)S50nxAGJbouGdLD8R{ejC8XiBOB6E`nR{qsE+)EcdNL>W) z3%v%5a=PEX_lc4PP1f04>d}7T>n0~-(0ftuL1tCT(oTCG%pa4%y>NZiw-k7@QXt_gh8vr+b>8LBp~H<1p2gL(af5Fj?v;sF4UT{Y;^D;ooFN7s z8Xcx14cucVD(0?Lrc$p3s#vBtX9o9*jxt2gP**Wu26;-mHfWMEh_tu>AGlaRq}N~mS&Fr5L~Nmi&SrQFmp!NGi)|Ut2VK+o?jwcHMl-B5Kld821p}>bLr@4 zqkzW*_Gw?4V5Q$6FFz+K*`>sMVYgkATn`;%@SgHltZuWiRf8Ks197W##2Cb-C3GXh z_RLpScJClkkv9fX;=g=tkYp9-(yVserVwHRx$PzkWDpgl=((#7sDQl}|eP~gn z5>Eh8nwREqa$`#;8m=e3VO%NPh#(8Na=8jW32^CMwb5pMPjj-_Smw#$Jx!=eCmXt_ zb(Qt564|Q3DbPTMk&xOMYtmdZI(Q_T5l=N*j5zvu?-#F-u6o=AdK@2yv+V4|kfY@E z1jj9V+ceXm(~Ksb!KC~wMJrm>xGB_-;5@EM+SjF<8LTH;S(1V--jZ^2a1w)_Z>6GJ z7~Xyu^jxZz@RlIUaH+F$JYI)2!nZQq^^Ol+IV%^1D)!dE%JT8<-mY*4Smw_Rm<#Ye~jvN9`urtWvVr|$ZG*v@g4Qu&E=)x z89LwS;<06Ay7Y=x{srL6=VsT19Tq;1d|`<$G+>WYT;Z~)OeJ0fqWBH)7Q|bOG2-nF z)-!_7vXDX$U_>hQ4xq*%3=v^-?~ulV$ii)GH|UNA?upmSDm#RPz4BF)JLTms%r46) zdS|1;+Wn?D5gx=Uc|FLIo=GzWG+?-%dheejQ04|OB~_x+Be1;jU{W5p!%WGb;d`pS za;BtLzACd3%1G18!g0iG8wW0ifjvQLK`OK}OYc&P?($IB*BIxNS0APt{9Y zp^e^(ROV(dB?*$1mNzsH)u7wv@okedV%YrSssmV`GAF`Si;JO!)Om5bBit;v#qd34 zPjkLjq*6yg#jweh6UJ?=?lFV(44d6$-da(p?V>;hZUs>6cyMC*crxDm&=mb>+)&p$ zDmpD_uTUjVfGj<%d@(YtEL~zW@boa}Qe?b+F`Js zyibq6n7g71yc9qQ6QWtiQRy8%%%3kDyUZ{>MXjjpT&j{U2U)^|a6(XRV5+upeA@;- z!|E=E>*?COn5bS@zF|Zv^saevd5~joNmevSM)huMz;=pzZhAy2_U^#StaI>-L!3@E z!}GYRC2nyLrlfm-B)fj&_l%25xUAv2qq>25(#93vG?lCx?1ToAuZ@EhFC1yoV$A$e z!zkd%r=??7HVP(!l|KW%bRnIY9BnSnb@_fCL-zQkl{1qfQ=zkfipkKE{4r3DZ@749 zaGK@}*puU_Jj*|qtMFZUiL(X8VVI$o0egmyJ}ZiYP^Df0s`OvDqA=uofcb8N_1KNx ze2$T-+<9{M8hex<>l>lpnK3#F12LV!rpq&WUh?P^n4ZV-n5j-h&{yZR3QiFj3|3sodB zo6SJXH22Z6p?jRJ%E<>7sJuPkiJekAA*&6B5+f?&npCogkI8S*+>gjKaJ-Pe#kjjkk5m5e2Y@UAomMrknXdEA^k>Ef|3HKH*tE*pPGzeS4}uc636-AfY zAg9zGZg`&k5AE^;Q&^mSjz@qcJ3ng!TrYen#v={r97kOz>C-4k5sw0*Fx?S`u}2%o z8mBuTOF54LM;x%Mc~9vgPe}4G0+l)5&9cx*@H1bc%9+Hoxpgsn5u%8h6K4_Rlm_&w@U) zmo}BC$Y%j5RxNs3qn%x?*)BbM4a5ppOC&1sIUpuR4Z9|uYj7ST%I%-`E@2f`?ps7V zSvZv8c{wj`RRQn$hUYP&72|7x^#ZUY4hq{sf;E?f!V3-1^94(mmFE(*K3@c8aXTkp zIQwD)^Ta@9+d1=_W?uq|7?zMh9O3P1l9TMvOAXEQ?Mjl81(8~|mw}2524`R6>AhG) zIkd0aTnwAqUvAJI$2>i}w?eXN@Cs;f3Tu$LtwqP2W6tm+2W|99qspYiFgU&Q0!H%E#+H=`>o{I*6!EmQ^m7=A%6tu&ViYy8!EJw%FDQJiL3+Z1%A|(KROssf zmHD>V0*3ZA8<@h*PH=v`p?jRwv=L;j%gR z1^>bS=;KBK&u~?mUQvn4`~;ZtfpZ@|w(w6H=-NK86|3Y=fh=QIabB5YjDgO|VuO5E1QkJnN|Zu) z&w{MVZ;*&q6}|!$WQ0pqkVGGS)o9>pfvadBl2w7PL4hQvEqY2$8_73L5PaQe;b{nE zLrpAVFG02W2DA}x1I}Zk220TB24y<*O{0cq#4DZ1FG^MPw}6f=tUY}>ZUO$b;d?$t zY7WBu=MrH*vAByOS#|ghbda&0=LN$`_t0wTyN2xP1ifqB6Pe2V9+)zVBYlqz5YA)x zzCn8Y$>E7&||^^k<`p$4*zI z4O7Xg!C#<3*(_+#m;P$_2VfR72v+>xfR`>88$XZJJX$Q!-woN5b!eB*Iz^Gn{0Ep~ z!U`@L{nG$F8QRiOBI(`#0!*eprRnoN)}#;6zYW*pnRWV~#bmnIf1rbSX0eiaNkDO< zwb8)ykt?b?5v&z{HQrMdyLXxF!f7>%|Sg8s=0^nkDl;cd?8cRnSs>cf{OO8f)%DYxx z&_W)XuLat-LPr^-r=a~Z(Lt($ubqPtXzI}~e6HmjUB`euje3@a+6#nD21p_CqXA!jD;P9969c&)8e?C@o}w+dAeljU$W%MW&vMoFg{W$v=ZT5iR&+uZr>vXj5htd z*i^D=a3^R`$TZ3Mly^2*kM%3bG$p-sJxIyA%z+O388edSp#g*RMEyLd*v2M}hJ(Lc zv=(&(6i7VjiFT*e<Cnn#U zdJhGx>>Ff(lu0<^_w<8dlVr@f1524#Y&{#SJ9I|8{>nS;AniN4BhiJ`Wc^Gv??$S1th#F`r2Y{w;8<0{8anziPhZ> z?oEo_6SlFwSL418$L4yp=MJOBC61=hr%jeqv_dY0Vq%TM6i4usWu@+AMh}laS~mLh zTrG1sn37;9u?ToXcQI_wfV-+yfMhNAU7>?C1kIhX%O%}`?q=wo39icISteG|cL!Rg zg9|rPoI^E3UGMnrW$ECeP-Wf&Oi9XSQ;5TLK8*+i$<)Z@LsU0(kBix7DlrkRTI?(> z`PtMk>;q8pvz0jmX5wyaZO-vxd3HCN2J7kX6#cuPv~P)1(7cJMWvHI8wrte5f|Y#**b+3wK?QRvwA)}kK@*$w zW+NL-vOx;+lr|3<+&Nk7cja=sOA7{dp`-tpz&)3yphbY}+F>eO4`&F|;NKI>jVZIM^zjYt=Cd zcp7t`P2YS}mh!sb9Utl-HYlFN+qJdbXojV?13hd zAaQ8GF$dyNX7!J;BuDu`9~KCsdLa;J)uAy|d6vIcJNaACzN_bPBDONCyoZ4&oeEiSe0s^OKinWaWh~FEXEK%f2r$JH2@`n8 zrS2fUAf!q3NQ3qG1T)P}gTgGJhI>3l;aNejvL6NZN!(l}R>WAM$n$w#6G1r3qemM( zJUK;cLi+(!pT|HS@dXQij?0wku|@^Y7wDq`WGeM>po(Y2OEkLmXxAQZh_3L8_dj)8 z3x)J}L89`W0G`foV1@6N#rEDswJ-EU!}W|;rAvGhu?l|@;PEKwu)J6@5%gq3^$Z)O zRFS8+rvN8)Tf;(>nb5)MsfOms>?H?-6@)43X+TLw%9bBYk8d2=G%`(3H#|=gt0!c) zQWg9RfWronoeP`7yYo}T5W5*7I@Af=896XM2-3ifi4bU^qX@CWBN_!q?QmN6WI(a(Fo6$w;>Nt%mBEIq1zqOk26i zejC`*q>73AslD|jdb>e;EOu%)tw^Q515|OPVta}wHcqtnvj6-}1NM};qCpkqD*auc zOSqs%JqHs@?>1adfh$jUP6Fch0NK-XrzQplhv>bAy1zX)NY%2w4`7Li5sGc%{Osb8 z9w2UEobZ05!I)#5sEW)=398KpppCTjEM3k{gskTMpwYtf)%zs=RIai=1a|bj z_;6lAY=10I3+r=(Kv0H!CAU%G2%dXY#bqqcRpfqh6 zKlEU|j~kw+h@G%TEe}T%iCV-@fGDHlU|dSenGud$!wq%3ruCDC?3sMzS-Z}1aqV)c zXjS1;P(f-L2b2^xAAZ`f*EzKapkzPl^NLB7P!0j2oM#p!s=lRVwfP30{7Nn0%1*r=D7QoWp zQcocsBlc|r_q4bEu0nd6*muB}=$Xx0KCSy*!}Uyxb?h=vog~)6eh)BNP>Rbu!%dL% zeM36mW5YNO%I$V0OF2IPCkfKkZvD`}JRVR*kRC-U^G9IH$fUtq*d0MXHb~FNl!j}0 z_?PUr_(@KbeSbXahn(b34bc-ImhSwE0=0-g15i3i+E&Mjer}kak*I$=9nY4Q{{q~+ zjUo?R$BwjL8s?hXs7lj9{t7U0DB~9n+lVD3)9vuTHsp&PZMMfGREk$segjpKsqqoS z|GzbGPgvMHftL+|kg3GqfoS|!PDY9U`g_CmnEpQgtIAdOAHbHcjL8UioTGdK0R7Qm zJ$by@-i={VoYMXT+KK$xc#2`A+Z-UOuaxW;|FeN_b$sYmPmvNo(`;(}3lx%JSDnG! z{iVMeJv?<^>15_|wKo0+c<#qz_kk!$e>dPY`SH0t1^xp-adV=Zg|T9I+t$J9k@2nc zPeb(-x5CRR%2oQmKo?sb{mXc(!M_dHW2-BMhxAT^|A1&Z7LT{mvHokQp3?T|SSnXb zdo{LBv96PmDNfT~oqt{2x9p+!9iK$5(hmY%#{4*F@Mv+cVR|fg#b}Wa6Ni9wO6bzj zv=&#ha{te!vJN%)Nk^|P^P>A>v<9vLy^@$U=JyUWYIs^3hakzGMCqn6W2nSyf+$X9 zai`K?{DBTPU{4~~tawVdDyd{u;0P#?45CtG4r$tQZa5!ZbfnQ@ty!7)6?zG(&9$J- z3B`sHvj)8E`uyySjH8S?TO5sIx&P7pMfs}CwV{kyg0RDr+a)49sL`S87#%!Adzz@} zk*VD4f*Ut;VRL!dW_3No^UQa4@OJKe2NPD@Xmx#n;?(MJy<49TADxa~3u>j4gKD`j zEz=EvI;r?!i#?w0VBEQIjA2hWKCQFAXAsrthR{jsIk+()0e2&#fG5T&@nIlKIX4DJ zBIWEj(xJu9GBxQ~L-W{`v=teN$~+FtXvvyaE;spJEB-2Ml8!e-PrL0ifKcHR1_=@s zcoP7nhi1y~p`E80p64U>E#OdgKg>-*6r-0$j_d@}%?#I**r{*^;%o>@)w13^FKe7h z#((G*hUsxYN@tECOZ%&m3bDJr-X9rR$J_o z9A$GUaSYlUMjblaXff{4qH?!wIYX5?2TDoc8j`EfVVc*Pb-H!FY~@^|h$nwpk+n?( zEB!psB_|b{0{%!Z9y;H!J;}b3Hc$|$)C)jOGBaUg=!FL836|}~&=`5?y2G4S-zr3#oh^631PBT zqJ#7GPDj!ObZ0~MY&+s5qt#1L3&K^0^|=l)aF%;ikTL7lchZ2-!Bh3AdCM}piD2b# z0ACyfj3-;$ylI%ve566cUGM1JRl|r1Rpv%8ql?GqxNvkLO^${P)RTtmIm0Crr?}y~ zi0b>`f(qJXXr7^}()WQx1#ZrPaVc-ehS7)tdWNcsb-Y2K@-7BX-1I!pD99}a>6t_A zn_Eo4qd8a?#_LMOF$4CrpURc-X075@U{B-*ne8XnSX)Bnp|E3>#*GS|mD`oySAxFS zegvS^KLK@Qcqq7J{7=4w_!6Uor~6iQqv(wV!OETlTe@#HKQqRD{gmN)Mv1EF8J4HG zY2c*i#-hfayUp-C{&k;nid3a;2Q{x?UXD7Xt8ZwB0q;)*7X>T(Qn00Osqw(Q#{<&? zbeTbWns{aVib558Ik4j9YtQ1(k2SzCXMPt0_pAu1>|cp!RpG8sL415^TG_oDcQb5{ z;Vf-jDp8Sl2U03K?LoT*CVsF<}NU$=cpswJ{Kjc23O>z z4w=%a`ktmN;-uY%{lAymNL1!Ln9^CbJ;fbk3kKZaXk`YTYXz4FvqYq)X*q5S!Jh>B*6;o9IfThsR*{^@K9fssKR&nF5GzAEG)0wuPglsAKft zA6L!KR5*bp;#HR}bdi8LuCwRLf=ylI^e!zM9XwuP#UlHHSY_`4ySg4?fU(!;z&{?4 zdJyrd%RcBL{!v(7I$!VdhPnk>F?3I)VayMgd?Jcd+Et*5?a^L1&wmE}vUqki< z@x=vL!SKcF)gV%-_XAZdU+i^y2iyJEz^v$LQKT{-0A@UHK<;4Ut^f2u!}GMMih+g2 zDeFNwEAFtv^*|3cEYEOVzPqk)+TTNf67ODz&Owf>=INn^=J9k(oP$KDmhWMJN}6kA zk*|A?J5V2Pke&d>`d$TjN_zxo^5r(P+j^4cBMrM?q=-aCJ_*QpTv1pk!KY=3V!Cqg$p-DQ@}2TE7e=(| z@D%7EjVt$cbR{f3)$lzYZeLeNB`f}Ez)K6m!CYb0c9`pbx*>adZEv&Akd% zv=y$~c%jk46A)KaKq6TAF9JWGU<#_D)sKyDo!(3@UIV>P9b|%){u0o|Z`5^}>|GZ2 z|Gd;F;ISx`OEVMEs=~{lf>b4d>xq5^mSnuZ-ZiJ1BY0>-e5f~uiuRP!fK5k&1W?g=?f(TU9CxDX9i`}V6yCaaLPa2*lnk>0EDvDFur$Cd2 z6xTy=$>m?%k3Mafo)1~E8loUp*`LYTvf>zjv&ivDv%^alKWo^YDbCV$%tfh+{v6OT zq6+75VVvGLwT(V+sGjtFiR)REsmw2cnWXO}jAawe3+P!(r0>6I_+x7{(Q*9iC8#!E zf;Q5HvqKhHhr#)FSa1Agqld?W^*L!Vm#qA+fG;s-^cp6c3%mu8&q$%K8n|bis&GXz zq00SQUhb*ldgpM8))al+pgrYYW!1AtR{l4@7waXa6VXXn{QOOW_IRA7R#PP^@>@VA zRn7Li!->dRm%eSF`%%@IQ00CH+_Fj6kfNvW8nh?Itn|jDp$EZ={~qv?d*m(_ydX9! z-#1jx7}3uM$`?fcAm_yv%`O4`(C|EFyP_?#I4#?cz^b$*gVf}(kA7^>2hf%XLACh_ zv^gn^j?wOziy)#xKQ#(X?4NNfg{V$HgHF=uIRl|5Ez0>sKR0@KhP5gq9~}H3R>{8r zS=wEGzZLz`Fg@-<`LUj9dh}PINq99tbG7aDi8^(f^lO9jgjdO_hXr9;u-^a`-QKWj zaeJ$|HykgpVcYO9pQ`X%1N9hB8`;QwqLHi`{0dD>m}UFDp?d6QRgVr5mG%eF z3X%F`6Il&eTF{|C8mz~1reRH-Vk-z$@}EGKkE#hO918engY>ka%Cr;+#&o=19f?t(RawPMyhiE1@0+D+ZY#5+PgUD-$o5j-fNZd&@xo1|3E2;F?gfH zz$_0Iywqej{nx1AN&F=imo1E@jWqnAoU9oZ=1wPRceC z!tuB-@?b;rwB-g?r{|xzC{J;R0B57outD%p19Y|JkWR>nd4OBoCwPsV$v%M`aUky8 zVTS1`WXm4W6>^qAo)+?&0LqXST^mkI(BTH=`F<6y4U1FO5nzee$XlSfWllC5%hcgR z;KFH1M;ho_PfIG1tr}b_*PwV9AjdEv%W#y@z+)~_!(Sp*+1Jk5(Ul6HR~CY8r|TH@ ze)-J!&QY-9uM0d9n8i(6`<9o6_H~t>Y{EOuZl^Uz#~Rdmj$+!;Ktw6#IACNbh<0SK z-6Xyh{dj}&_;3}bL?kNl1P}|^w1G~Dy6Hp%^i*R>HZ6)%+DV|vYOrXz^YDO9Hb{@% zSSTM4a;Zu_1?1zx2b2JS?2I zM>rE$I1wxtrlgzZWtI|_9QJcF!}ZLfVlu9HM|hQR)#K*SLu^KD)p5@y zg@*4LFL=1kgNHJyTKJ0qFRXmXM-;lf;d)wERb3~Eu{(eX=W=2t3znlTn`|y|%98GA z&@O9T9f>Exwd8k#7Sg9A0UwG^cQ$B`Lr|K1Pukdez{KGhjF*=WEi83cXu#k+ff~+j z$iHqPPYbsJJTXwQO-tzp4bEerD%x^VzK!6;dC`%r;mG-+HK5ApMMa<%Z5SwNvDv8r z8{5k}*&p9zke(J>aVUUDROV(dB^1#;dE8Pd`coqY>*=5sOI~xSioO`=Bh@3H6OVk0 zA+E(E7g35C1xB+al1f1B(wHH6GC`$@1V~fZR=~tP&ORaj5s2f4=y6i!`Q^Mv^vG21 z1h`4QF)m7^OAOSLqp29Uqex{=f+;;ejAJ3#M({Xgke;4jVqR6A@}|L)pZ{ z@*g#LNV#kc=)P-VM6RMQ2UB|xq98~YBCQ^FptSq(_ZHE)4Ivgk+Bh8eLgfcI?j!D!Kl$c%uzKmY4Mwu%2pi~p#vIG zx4pZ$xNd5CV3OJfdp`eq^+qHD0yCGTm?dD)U)!B^m)6F&(3OU9ri;OE2SAjf(h1Tr zu42xwvra4!W)P`kFuratVx%ZWq9VIMB0OYOhAyq~#mB=Vn`qhK`gafgVE@P4TL(6F zT<_myO42|nY0@TbQf`&(Zjz?FvMqa+l_f`#7gD&@+S*+;w&jfMg_N0@nVFfHnVFgU zEi=65Idh*2=gRi1lHdDBlD!-I`JB0T;LMpbGnrB)Qsf)}2Y!)%r}FPexAGn|r1eK{ zk_z95dc++94qdu`1&DR&t{i=thYfS9{9Hi2&^MTQnK@B{F98_!P!EM0l*Ssy68jKfG0BcgSF4Vd$H(16 z4RQTRHfvU~fL@NUhXID6%r_oA^-HVP!woKMDDx_rhLZ>q_y_<`K@E}3U1DXav#_u4 zdMo=E2T|vMZ2#_HR{BUom&br+OG)MPVVFLRc@&Jn*&=iEC8^yLyWOJ=cyka~e%-g- zScdwKfj-`@To~ABl@@wS7s;xG>{5QL!Gyit#m*f2T_Z@~;{eRmow4%7bZg2z-rz>9 zJ6?{kCjfSol+Jh2ty;OY%{|ee!aBf0C$C}zJqe&w1vFS)>a3Q^vlG=uG+C`xqDp;S zu8yrwMU%Bgx$T~8;I*Ky=T+lQXk7pedI}7}26O+sG)=uuKqo$1sY<>pk&z0mO1ci84`(^>AFDGPwBb1P=%iaNKdHB)#^j`24eefTh+);V z&^IQ61im6)#$Ci@s)-+Vi{9KB3}jMQD}*Sh0-?JOIV+&yH^`p*i-@vz73{Q z#JmO=OnljL&{$&kur)gt$)kI%p{~C=ykS$!tJ9Fz!4S-yWRu!TsTEZxrE_$zH|W4V z4idh^88MRHK$8FN)%t|=?e2|+w0=yPg)CGZuSV3HfI@e=(4Xtb^@}o=R!~phY+zya zG#1f<-fL*V;qWNL@kA>l(H4yW&1qCN%GQNE5yxU1TzG@I_zhIG!6))Fd_@)=U%#yvLM+U-7T zC}BfPv28<)pw9uMZnSvpQ8ZXV{5Xo-=M5|D-Q`^NRE@AN0ET`fE>%O~{xVzJ>Aq-a zVfCU|G71v-B>>Uf76(1)eM*D5{jxjKec9l`2ANnx>wZp;w6B1MAQ3$jOq#~3^>TB! z`>H{PH8%<=lMksX!CwRTC;>~q)2dXqN8__i_jN-&;yOtsQoaF7rct-IHD+6t8TU;C z3j26NT!dJVyl;VbvXsik$67McmDzqJs@C1N4Ll^(1(B&WgKrse8uA?&f?5a5Q9`tJLNcEr&rm7)F* zSfscm)*J1y+IIIt0~vK3@^Xaz2(Y8%?aVKfn(f*|RF@|IV}lB-o}!>_A)`dfPe3^d zUnvfbY|{yXM50=iR@7`X+U}=@xqfA#yF$HOBP@v1jGw`bqr?npi_)vhs-}z&KR4j8 z!e+b(Dv|OFP*5fP9Hbr9Yt{O8_e;YG?6u7#BvvEqS72e{#V{)Wn}$=}uMIeC;zc2S zv&lmt7)(Qc14Ga#;#a%f{nlW^8ijeU+o}IM=p#NL2^-RnmYd_-BKdj^*^y~DVFLza zv}jh3z~2Liyr^W&GhRW}gWCUKpzEiau(l>rN=}|K!leHZ^mtKI7v=tBfJeNj2^FgU z8R~F8(?zUEF8$kdZZuYLe=(%6(Qx?ESfWbuUqQw;>O+eQr9tOVX@6&FUKSE$d0`=v z6)ag-UFk`-@!yOQv+^rz_uqWKR#acJ{mVRwhW#CesjuZT;}^QJfbRzGAI6Zd0W_Ol zAOATPB=4W#9VMlj@5uzRGq{(N<%WM5SlC2V6_7@fks{{b#H`3kd8L(0v@ZR}V8Yhm zR6*ZpMvI*Pk`s?vwMJvc{m*bl^@$-y(B)*UAUm6owQ-5KUS9q-yUjAJZ!P+$sz%fm zfQrX?9NKZnUD05|y0pxylgd#4O3+X9BkJYpio3EQ1b!L~VES+4W0|5w%vFeyuC)MlGNt5TkX258}+ae)x=YvMEPq#9$!MTh$bpyvs3OUg9!T) znPeoDq5jd(KU(yqgfkH)Dz)-%cZ^|#wZ_a#N~FlSCO8_akq~NQMtrTPU27fK9{ zFyAg0ksk`eL zV%V1~61^N@Cjy26J3HN~lxNzzCD3=0L2i|wTYIeZ%Rg&Qvtm(#uMaSWMIWNBNA1S; zO1{Hik(9^!N=Xeu)^A5F5I!`rHHv9F>#d{Z%j|SQw?U+ z(F$S&od%FDF=?jKq!TAh7kqAHU}0_rzFHh^_J2$S3A{0Y7*o(UNS9Eq)!gZZ71rWx z=ORjkoB;@`ejF#LH#C5F6T=Cs6GLJRUXQe!f(A#Nb3MdZre|yIYSg;W-ONDOPrGI( zMk(#X_>k2l{N{ikE%3Oe)EfwL-@-sgb~m6#)GdKR-Pcwk6~9!kxmy`h*gH)WQkTH% zk#%dZu;iktDl2mCyrjj=PPVESy4x6H*bB|*C^PfybxAIPtR0HhWgP#f4dP6L4J@c_ z5Y!{?EaK1|U@<7#-|t^EaGMM+>coF`GOA8b&$cxsV2j~}EsLm* zzR!XpnP-D}17WfjYw%-6Vz-UvbQys-ov)r_`0}{U7_n|M8492|=fWIa#_u@Y(ZS3g zcUxmY*ibC#_vywEK2Vd;^8h_rN|YqDPme`a8ICKv#%ty2a=Y57yW1JQ%uNE`K%%H$ zA$cn5)0W%AmZL@6k9EzlW_i5g?qJ|y)vYjGdNrc%NL1W6iQ6Mnp*xL)DmoylM%0~w zLd{-v3sN~sk^EQY>T(H|yNlt4eb-n=-)cdV)UBXm$xmibb;%!Vjk~g;g)RAIW?){2 zgfS2hKFhTpNsuqsqUrMZwraiN#tkwod`3YnAs@8qgdp2T-JVFPW@fRQhv)Iw~A$J z&tW(|;kPrx1D|41Qrn(#t$Pu>-xM6YZ9kLb3?KaHIB90AV z(k}%4XnB*EP9XoRT$2Q}yBca(lq)wQp%y`R14yeD0$}iVF%LsB#oY~TYtVOH!-bAT zNxcWC7(cS}a%?@Q)@N!m@Hb{!E;9V}cUo;QJtq3WU6S{JtP@;~JJw{ki7Wt@Yi`bP11GpPkeLV)I1eDcbL{jW=ptFxk`322#IUZi z==daxMD8V$!#F02b@49UK7$PNeJG=?mJielt2{PY`Dq`A#BL zBk5isp@Udm?O|VpEQ;=^Ohl8j?b&9W>I1wJ1pD5}5EQ5lU`|$6RxLg9`I0v$15=Az>MWqlFOHP+4zp?{*g( zNZ6+<)=pI;$`M5erMYw0lp7e-s16FmNLm329i5Lm$?0lx2Zdfq(OX{WJDtL>8t(cX zT{4E-Df}>PnsESTpvEls2faf&^fMF29W?l`o-P&AijzK4m*_)4XM4KIc57R8vh5BV zZdgq%%yYpu z5HP&!!fR)4uDiUldH!&>$&vzdK>YPd-AmST4>#!b4>Tbftq3Yg=0hw=9xa8A2m0EUrtIr`vZ0MS(5o6zPcbO@zH-0VQ!gWwsuA@xpst7d zq672n(jJ^Vk~#O_>4q9MW%O#k*$)?{0ncDr*$7)Z+PmB{4RzE;2r-hL1rnNu#HnT? zU7dcm!G!hPnOKlbJOI$@JE|`_}_gn)RwTh@3QO`4|dP8ohchA3!P^w1M3xLWj zeam*^<^|*Kg@zRtzbLx6UXHLA0hWX;n-h(CZMS=|L5&cy^h%_>gp@dkYOm{d-AfH6 zte>>$Sdb#-Wx&K~eNCKI@^XXNB(-s4S1MEAphERmK>g^nLz3eNWG3}WgBZ28sTxtQ z0t!{Yx9jSXU&VX1VTDzJLf;U}5%wCu)D!T#eMb8Q*S*%@!n~g$`-!PY;_E;} zrHk9GZm4>_p@nrp#rmDyNA(7PFl-?Wb!PiiG$Fgh$J-6rmGDM`3mdj_d967?mhDYI zA{=UCR&uA(__lI0zUbu527kW%#@aPAAZ(SBr!jAVF{g?2+EWh+V_{SETa7)_>)Mle zeR>js_xaX5l)w{c(%WE?dJ+<{9IrHGTks545GAPfc4I@>C&|SvbAm*^1ITMhfqYAt z!opgI)9QB`=+>Zu7ur-#l;C#(jA)wlDB|#Bc3!^QP{Uesren&-)-P6XC&-fT`5 zp{CitT#rkmKLVqX22$_iD#nHGqAbkFZ9E?}W`#vm&8lZ!lgN(&sdYgockO5#=fSy; z8)De-sJ^N1RE5@^UIKzD^4CHG~+37ga8dOPS4@D%_OhrF^&j}!c=VT|CA zdnHo71`2X|1{W_#Ik%Mje~4=R~e z(u022kVox7RgJ9gffeVFNS1taR?a;Az5yL^4oNIT#t*>2{6CT*a?k2MNqzXCL4>tQ zGyWuU1pNpg^w4p#Yi(Rkb*$Com_GMo0}LDRh9u3Vnxy^&RCpxuBxajL1ZHKiRPvhK zPe;NQ=Q0^hVt)oKzMLPonym}Q+|LazY{9=U@Ii~1UjTC*!Psexr2Ms7?w5wR{`t58 z(-)N`{8xaVF7UOdEwblRb}2@i&vw5yrp(CiZR~0VEtez^8ul9)rZWkgK08=lUhd0L z#ckOVFV{ufx(1pWk)RCF)<{|q&(C!tJ^N=-s9H!aYk z1uC(GowM~e@~0=<<>ha)8$828v6*m0B1O&>z(G%m_8=p6Z?L@3IUHv|UeVwJml#D! z%Qi%k*ee06lL5>dWsg94W~Ne~a91|Oz_tt#kIc!Db`{X#_)a5gZEHw0t5%it9(UD| zc$pWPlOykH;GKe(noC5BBol3Bwk@af)+Z#CcXh+A%P(x)fHRW5#Ookv&oy8Vy6sF~ zrbh!y(`mY+j2-LG`quBy5>=v)20D%DNhY3Oj%>^7mpjIgw+6j|LQF3wO7JxSMn4rh ziIrwKnuyxbpF=mAIltbQls!8f~L4~7@?nZVvB8mBW1{XFD z&$$F%iI5WkIVOhasZqTpnJ1lOI3q+*6EUK$4^%pFXjP`G?qtImapC|iVom|(7%35! zO2(tH*{WbZ7M7Rr2x<)?xw(`Rt6U4^Cn7Khm)sNm+V`E zt*37+O7O9?+;g`vz_7k;PJdl#{*TK&B1%AHs*NN}=tA$A1~h85iS>v(3%FzCZKAuy z{Y!m^1N}A`T3E-E>#`FuqBaAS?|8<1$Fs%IE>*|lH3>Z%P&gh3yPb<9;$NC^{X>W0 z?+n~I2D`qi#imaoUsnpM1fL7AR+ahE_(W5#_qeUWZ5FFG_AoOIL1n0a9`yBX`uu}d zL)KQbgSnmI1kMxUGzK*DI2j?4B=h!Q9wTNasqD2%dAqxV0fvo-g|v8Rk#t9p;t7`= zWmaz>rswWtKu0{`N~FlSGdOsQv2)WbPgHjy;lSO+u)^Nr5FaU#By%g6Tny>BeFt3G zu)tXm2S2fJQ8TF9m zHOP^6K4@qyarN`_s_i4OhSXq{BdZ1$UTN&s;8YuNMSMp-ZIJ7~Que4t-zFw7uGG9tw%XYQk$UO zNT{}Ar>P75#b`;khPsw9Vwe2Z#v_T<9omWtFq+qfd024dfd>eRM)%h25oEo>rG zTn^aHDrn3!xD3DJQ7`ZWioJ&SiPLN)HB4e>Przt z^1&+-crO4mO>^^@YV5F=;-pkvYwuI|UwMS~i(gY$BPEdd6X!8c%;70OLm zu5VajSrdgmz^f6p3>03V|2auAkdtpNHl(l@SRknwL5^jjhp-bK!eAtlN+j(Km$pER zq!o}5&hiHNTwU2Ej2pEiC3n>z!+MuO;fyTd2lB;iOXAjr6?f1u!(ON@rWYgW5J+k8 zbH|v>iw+x3*krFzHfRxZ2{0Iw;sHW#h-^31MZdR!g*EEp0FfvXc^@F*;>AczoXcaf z5+$op_chS4KDr3aXcBurVl(rR*xPaUKO*e<(~(${*arZM6{q?BoaRe3D>GPi8=t67 zPPzvga9GTYQrbrNkkuvpL4c#D!F;uQsJF6rb!pB$*g(UoQEtjhErK3GQ2b3LBse2i zUm8$Ymsb3msz%hqfVzs5NtT7Mru1+FIZOW6#twOAO-V$k{RkF=y;yU$)pUh%FtGFi`{P{s8hN>T-^z*GLPjj9GbI{GA73ES^pKSPHvE^K2%<2*N6ae9o z#xGmX$J{1S`llLR*et5pCMihZ(*Q(Q69cO?Irzmr-Oxtu0aT5sX8?6WLD6YMqDrMc zJ1vXQa?x>ozg){b)4=61pl6_H&Mh5Iph3@qL7B4G8?w>LJ=@?%ExW1_^&FruyFx@^ zzQ0)7HC?OAEq)A?xaS&bSn@H|w9tGo(lp_DFahJY&cxs^NDmU9Tm5`P4|5uFtx5fb zM3K-J0BV8))v3CBp#g?f=OHKHASfV$|~kmdWz4)D?o$GGdDO; z!Uku#d|Z4yw9o3ed!<2!xp7$Q)rfirP;uIT98tF$ zp@?@H&=IE%#6o1e3k-BWvPDN$-z9aoBq#q>TkhQkv{im)W8Xbh(NC5>swkoF0Tdp# zSxMM+&RJ)<_Zo0mC$#2L0yN2eAGmm-av+#oa*exL-TMtL?1g4d6pMw(_y8Ek2qSj3 zU7SZ|Eun6!@? z%m_oFS0d$Opd2F;BCnf zpg6Vg%Z3)#_zQz>EJxl~z)J(j?P^WBv#%OdSiuT@g^CgMHGmM-&4lO1w^hcsBN*9o zUpL70!@BE7=u%n2zXA9$0+0Js86jJ8C+#;4H0+fQ9dJdCux|mTHC5J==j5J+#x$-) z+p-y#t$o`d!}6lmKHphYN&XJVs66>orMGN$-!<4UPjNjgnco8w5vMp1(-H@xR*5R( z6Wb!JLw?_o!wQ_6G0Fxlqe}P>07nmuc!_N1Sb?wLerS+kJ#a4MLM?)Rlz=eV6W<2g zncR;JD6E~>bpbC%(oaBwyPw-$uCtt<8eG_`OmwujO`fo69jfI13|zENn?+og3H!MF zxnYN;AS7DKPM&z68n_jJtl7Z+tyyFR$z8dzBJa4M$7OCPh^G~stJ zLBk!=P~^Vb)dk7X{6E7DbMbQRB$guP_rPExz$=-%7q8-)UH1or3Y(x0yW}}mB=L_R zVuH@F9wK>iBXM(gw4+>`t++oKa@Yi&YWiyVV5DinpJ4)Ot{(uCb6x#<|H0fu$!MYjNA1pOBv49&?I zs1nuRBdIg)e})!TyhKLJmpsLyq+YHrRLoVSXPWOGSXy0JaF>_A%kHcUo2zEJwpfUa zD}aGEFQ?OX4wuUKH*&z;6%8nCcH&jER7Q}%D*=eA;zPIDTbHhEkYU}79gs7MWL^c# zo1&0|!%K7f#Rt$oME;L+QGazM+OxV>ZWZ@eJ6zQmvO|7#<2sv&`{D%$xR>lgE)4wh0>4$ zJ5t^e;@b(Is7mfN!NrF3ah>GObey!zl4SkM(JZoabfzI^cgV`EtP;#fhTE~mlwCoE z_VeduFRkW;z-Zxdd^2f)d|Hm9nU<88bCCy@GRS#Hm*E8g;LFM`GdtJK4a(DpzqZq#%K(0C-FaZ0~B1wRXE37~H5+axX{N4FSV2FCEW} zG-A09cbhxapu*gxOxHyvQch!$jiapwE;l8!ov7CX!CCWg38es<$gE>+XUpFZZqX~a!o1loPF zacX?KqkO?iL0b<^dPmgsKsB zOQO76BT)flSl-H@Ms4d5Bk9&4p{-*o*FDsoi_hzGw=uA=#+REAX5@$~5f{HhY&V-| z?5w*p4Q|w~g@Od01z_w7H6p(dzR9qT*cFO}$k+@}%bL1ijlC>Zq?3VkF%jq!ZByiV1o+kFVkGV5oszOFnZfm-wf;G~kXfKsz?SgQbeI z^_tO+YO{?z=R1u?FYboP>ymzF&{3;=JgT+OoAVb{-^Fml8l_j!&uat;+zKE7tF$nW9mz5FRV`bZevK;kew>A z;lwK!i7??80-gz>?m{NzT@5s>HWhmyh!J!*fYASFu7n)O*k6)a^xX|9Y<8s*IF2E! zMbJG6>MicuKkrJ|)-iCA0flv{v4p+qlHJ+v3Gz-_FG&;c{bS zMvgcKT&D8ME%dbsH!!SGE3c{%wE|Rpa87StZeVb$1`{?SXAaI$8R{Q^{x#*z#a)A( zQLQJ2A2gJ(NyU)9CKe>`5O|nFF@n4eYqS%)B~TAP_^`o-4Sm$on$L%vF!7fFuahXf z#&}FZQko9$?rp$f`6F~y+10W(BbE~pIA-!v}>F#S-VMA>!pk++O$hjXlXl|0C zDw`(cPLuJnpLf zS61vcAV$zb0LrvtJ;1{~)R0DP#i~Zs!+=6hpNw{rNF#TI$SLR#H@vW(eptyUN$4X0 z^=Ib~7Wyj#ITP}c2DW}JmxRx*Lo&#j^PQEBB#w0BEp~D)q!%RWQ9vQ?tohi<1=Z8l z@n)mdkQ;a(ZNOoX8I#>z)FuBh;Nw#=5<4lgZueLN4XZT8RTqen^f-_(^)xx`6ZMvR zyy1m?N>j*W-&iD)q&@*u_=KsG-&>MnkmlVJ4Kr+wHI>osBz^R%#6Ahw8wi&38oAo9 z9pRR_nYNtaQLb;t>Gtl)#)g{w#>P$)HPr$>3R3haSprG^PF|VD4eSOzk*}pi5_N~fgZE_o$bil7P+_27%np%nZ zFcd&@UIlY*7Qgp$4VNBHR9fTBs@{C4(el=|^7cv+&U&>mtcjwmtSk?1f99Fe-Qu2# zmHqvtQs3=6bMu+3dbzIfq57gd2HEKeU^uzz1CO~Rv#&(uZRz+D#5P<7+y|t z-Jg5C;f3{N8k~}k8b>Y@IfC8*5XRs*5k!)c=X?8l5@&j&;e`zfL-I)yNiyFAW;$I- z&(wLdL5B4!h3QHnNZ?xl%s5h&Is#8`HM9{ODHS8>Z6M*hA)eP?MsmX24JK@TDHj-2 zAtK(v!pLxlj0}Gl);kU5h(jHT6glq#2XoqFY{F=SxC)#(_ih6WOTm!#A}-kh~9omyW7(Jjk@{ zT(36V2S)-HM%6@+zz+ckX9c~WUIU9GtYqiNg!}MF$Xsul6D0B@Kqd*At=)2m+D8p4 zES{Wk`Q)qt(IMeuASAgJO+|d%Ai`Q&4xvJ1d;$z~8?mP(wO_i8PZ~;CKRm?QQaQ3d z1s3L-SfZMjW7VUBGAef?oUpAv*QX6OEU_?`6Ej4X_|E{3I+8k;JV)WP1{}79c}RIB zW)^Fb`Z-YX5#yhhMFIDDgA41Ghu}nvoG-9+sJYo|wl=vh8eCW_&$WP@Adz1J60JO& zF4mlwc3(EYk=Fz@QA`v`{K{H|+~U4!n3uAUTZsG`kjT+Vx^wMN{ywaF zW45k$jQ!Z40$WS|^c}fii-IKn1jI}qt4D4}<>{Ge_fvx$xsOdXN&Q)_oGrQct0_w{ zxQXlM20BtXGlC@k0z?dDtj<1fK=$KCleO}cT#;$OVO!y-mTM_SnkM`TCS;cBX2)d; zUw6MY;IKwg>>RutVZUK{xkiJvpPh}J=bjy%d$#=9{nlW^%1bpZFCUCFP52#5fWL+D ze(yqOpKPi$&@g8x=P#%b5x)l_ULaXskqxBo4~DQ=_#1b48CP6osQ*Xk>r`8pjVH0Q zLGD}Db>lx7QdsjStQ%)FiTyLMndqx_a_%n%IBN7&)rk5lQ20o)5G4}=2}8KQ8BUl} zoLR{7IwbrZ1o%_FUvJLHS+4&uh_Fy=VPJq3G5-VxzKwR!k^?_mskf_==74<+-_`_%+#wJaF|b4 zXzZyXk=Fq7x`LEbYIt>nT(m5QoBETfk22t`@}nD%1w8U*xG332gMCdDS4W0ge`%kN z3da~`*s4ciRG=Pl*90ydh$;&Uz2!k~pvYqla>Rist4Zu}z-qWHzHX|?b!sIaZ^(g@ zsaQ*^6f<#i!o;5dJmU{Y`-&u8NUrdfjl^@Ex&2*tEn`4fzmxMPhR70sZQ!pj-&o?F zg_EA*L!PcX}OEhe#h& zW#Uf+9>a`Z^KVD9av{x0h8i}8+a-V1BIo+xpizl2NNvY`Sh!I7WP=Ku6vQGdT}F_+ zQ^12q9xo8Yiwrj~xUe=nWRbz^k#w6Iw* zlFkAt^$T!dj1HBX3@fZpDfk7{BW^QrX(N+Vk1Yl?Vk2uL8)DA}0#!wiewDdC&Yfww za|~yFuWp^gU#Z9l;IAB8`vJQQOx1WG~$jh0^c+}F9Rt%cQV|t z@(wvGBa^RlXQ1FhW)4=*91(pNgA8*asiohP4{~CAD$J5@1^!sU$J3Jf#B{m2U9P(? z8*rFUQ5cNmoDVNZ;23~$NU9}=Jl5Q}Asul@N@b`&0e$R=!KTzDIf$iVa);X+sF?;Z?*BCpkS9qn;^7%QXz-h>MZr zxz1#CXWa#tR(F>6Hld4jxn#`@85+})Pte@$S_TsqgGiM0H6>4}F4=9c5tY-shT>g8 zrTv`)UG6_}v&Mq3u2uE?N0RMs+|`s*rVTq_L)>(Bxt#`g#NTTdb$3BGjQ~`&`NrGQ zcNNKX_mOB_4&9XG(uEB)8uUtVAF|zi8g@wp? zjwKhrU}?88({}p|E-dMcCwx!!#?`@3ODnGe#CorVuWJHO+571aDmEm$u_JJ+*_qqETUf7a(X1tAs$haRE zm|mypZILEuxceJYST{Rl%*8f(l_c{4VB+hVvtg?Bnb|f^pLw9cPlvtO^gJ8iGSg?A zK9eQTng_v}%<8%v#NKSV2OE4?t0@jLsz%g9fIZ8%Mtc4 zz~I{GXkDI>dle_#!wo8|rRIieuSCitKuOp6TDTa=Pkk>!HY^2iF_20Xckzw z5%*ut@pX?ju&{FFR(`w^A&&tB%|3PvtIhG*>B*WLHl{c0KGyKUR+NWzL35q}b50ZawHMsWe!cyP#-`9l zyVO~YN77aNu`CD9H#Ci34o;OzgOHZx2{h?RFbQ5m+LH88xhER~!e-q=n^N{%xu*b! zhKr6{v&nHBp?j*Kh50DC&OZ@j$({xjCU$Yju#rLhUb(A!%01oi!X|db(q%M>eFm^t zQcSOmX{@gB&X{K!@Pz!}#&yjvfpGzSm@w(j0v(^z`?g4&Xp2+oo^7~cpR+KNr5p&l97Y=%1l!Xyk({sQUT#ofPFQ9XjfKc~1sHLVSPn{-yv0`wofLR$AP-+_v zOn9TQAgrkjt-P5d6W#F)v^{y4`PX85~z8*v+VkF-N8T-R*Do_^*&gI zufQeV_+UUehktU?z2BG;w(vkHwSx~?UBW*AcxFnu3o%6ZK?5CiN~vl@eF&(v-+p@n z+nj2Zmiw@wUzTq_q0p+2z$#x0ot%JPTIe5)hnkNXGs2<@Lz1ZyNishMCT485c}(gl z1s^xyuy&tl4Q+U;O#UapM@S6WNA8mbR|=}^nMKlM&)lb=i^0>owMZyl=pIt{_|paw z_A(3ZaYmAb`3#}l8mQ-eD)h4k8a4?Tc8YwWN$Tf7MWe;Ud@uaW$jQ|#(O~89Lf3tM zG_Xkdj$?=>!CxTQznh7k?(66{e>u+=4LI-=1sh<`s}lVspyAGndngAsia#(Zo4h96 zmkl&*Zkh2hGh$?Y1uXPSWFb1`zG_He>137!DRRC>jvs`g>Q1E3eBE%uN@NEhFGkWg zK*I8Ja#x>R6(@iPn5LQBu}X>+1~;?owVZfY6JPU!G=vl3ayfQ#C?ZF z#WYJ7!{koz2bW>`;IzX3<* z)Y2T|^g6lv{B}{R-K>tc-ER#tY|zNH$f7FYzXSZlT>bI)L+A;nvPkCs&)~Po4{z*j zuT_ik;3E;ILeUKIx3R*cM$QB<5hfq?D${@~!2s+<<;KY3p3JEWs}k;?a91|A$YVf#rLNk-hczKI>nbn{ zjfg!O5{&eQSlNu+ZsX2ze<9&jjZyU=qo}Gz@nH=FO}ZLPLjTRiwrg8Eo1yKlZcGX5 zzp19C@WDvagloVAE*y)4C*f0fl%bBWaO{-`IU0~-rJO!ED*>=se}mUCh7{Ie7DK!g zB=DL5!k5G-yy7}@-94STixySe`iKCODy9dBr16Um&* zgY_PfBIX2O@G>*rsz!6JWl)#STZJT%*G`aem%;(>I-?ELN6kgXKCA5PY%uJ&UEdr*kKbgn@##w~Q1q*9RsO`W%~-gNxnCh7;xy7K@{5 zM4dvE`svuc*qEre8yHmBytL@*LyV*wf`qJRw2bA!CU>fVge}kI+Lg#q{xry=1;_4~ zBq>kh?!>a>*51gFw#tuf?Bxvc>oTI`-WXi<-*GOGoCdV5Ix!)0htmx+Y%$8b!bFa= zGg!*(I>AmbEAA$S7`7^s5z^|Id2V@OvTq9Zarl6KopOKoP`tVKW`-Qvk!V=kQ;j5< zHwQD*5?V9WnTorG;f>l7RE?-x0)=jJQ7%m0-&rWJ&$^YNg_VvfT0B0OKI_(|boGYp z>2S9(yirT1YAjs|sQiMOpO3aGwMloTL55YG^(VRzCjBhX;bP`Ck@N=9z4Q=Yx5@Cs z!ZmB`AW39N-wb*-Vmni5PP;9J88$j(Vs9E7h7>txlM@d?ayg#dOm&XojQ%+@S5ut} z6e_D<5#BLY#!;VgGS6)dEzChGOas(wpy0A<=Tu?>sLu56frYfvKPyX+yF1djoX+7h<} zNj9%bY)7aQZhRzc(T&My5<3AbR{8d>EQ@z0o6;8|`Nh5)xXMV>SVzlS&?I#d)XZc> zR-a^7PkXnUGR&~HSS%?83ET!?oJ}QHeQMTS)v(T%x3IB`lj+T3Au`Sf<2VuVe&M7{ zD9SUEhtPK04JoWt#<7vp1Sv>j4MeT1`8h+>TiV-q(}o%rc46GXSJ)xCgx3K_A0Tf; z`*lrncMU@g3wdYWYN|!j3`iM|M$YxFH{1mVH2NSRYD6`O(lvudZKB+iLm68Jwf^^8 zXU!lMB&`h^YNcPHkR0}wn>DQU`_Oe*WNm9AHy2oa^THh^MXl|$BZIvI| zxD_NaT1}FtSd`RVpl15CnaT95w%vvs)|D1pdPbAj3xPdO%Hc;AIYm^?{nnxWt_B(w zmnaNSsUneg0}|b6?C2ldFGuSPmL(|S?rxZ21?7YRscr>LQttukaY;ebtbP|6=!gYP z6^XnjkeIvqR?o#-*D=7b>2JQ-Q;e)VV4?cNN36uRWXq3Dx;ew!DnGVywH9J8T~YGmyt%h&8mU6v{3lKOpywSF(a0CKT)csauM1D2h5 zi@QBLJ>z;K(aiXyr}{#Uw0nVu$j{=S2iIbyduYX7WKdx*F;>vdCZk5u0!TL(5(2T= z6^p&y&dRFm#%m)oEXtW}OIRgYG-gCW)yK-KJ@zlxV$#?p7>in+J3&B>%$7CyzA-Co zQkMv+J;@UeCQw5=A0L-=W-GgyhRu;K=W z7S>VZLRg6yQ7b^fLGYeeRBhp8xYf}}h)HRwvSK71ASrIH7!WpzRW1L5hpCc%AFxjrc5kt>uiIZPVRhl4oG%c~>CvXWJ+cCNUt_`f^79*y z0#sBZ_%KACrrZyvAQVI2*#9@#5qE!M#idy7%PZ4>2fzUM`MFq-M8@{?r5!)e;I{_7 zgf${Tu_(z80vQo#8L2069o~ZtY*P>{GtNVW>JNc>JcU47R$VWkaSt_&Bc4K}S|mLT zq~pZaToRjX7;+Ccu&~}Qw|GRq1sjkEd<1}KI&nvV8!6hU_xngg4eRKOJw{%Z@J9iD zs=zTe`ObMz>K?*@z;Zg(jQ0N8^*`E}5w;AweAsJg``G|NlO6+;FxA0vfc<67lYFe9 zhpmC;&J*-Xggg!q_&0tDe_Zb4(_%i}fWp497tuoI^@w`{aM_fvs!U6tXjoyD*Z5Mh zs3cnCJSkr+6iJKqWP=*9Skxo#DZs%&neNOrS|zu-1gBLmgLO|e$gs)GVrPy$Kv9#} zrvZz%8Mm1FE?JL!y5WU+3&nNy&fp?t{d68;jvF)XqrG}PaFsiBTOCxjefF9Qt8WgG5S+_Krd+?XJb z0sdCdx%Tmf#VyIPGOvJP#|glPUnUx};(cQ4m3yVJV#MG^s>pZoDj?5T_g$1HX2z$Z zsoQSef z|7Oj--T=dvcFo4woFu7l05vlJwB#}#_eO&obpU`EL2m*m)4t^V66~&ivq6p8zPub^ zZvhPNl3kmg`GZMR%e~bQ!zNG^%5|8jD#339_&5Q_*Zht(rlZ;RND4T}gy`}3P?>4{@nntQd*n0p&-C=ZK z5-zxV?`W(-tU=YtdLIjx9*?WXf4qMr*pTyap+?vT06WRnQyzVV`szMtxM8{dYggB- zIL-JF%s|vbCu*xsPV(-S#%ooazg3=<-CQ3wMua&TxoR|1lqLQnz@I31@A23BD^+ZJ zTah{_X*H2 zkiHHXbXiSnO=JRI8C!Kp|NT-$x# zV8VK>!V=YlsuA@CpwLCe$N6gr&2`-uM}p;M;BpQ_tVY8+=GaiTxU|*>PZ}Y)-7W zuN!38*E3~o$zD^ak@XF*P*HT5ct=?dKb1x4ZyMCdi_)+MRj zUam!Y5t941v7!<5j&t4dMhqJE9T=u(0K4uyZejnfVTbvKrbW(qF+#ovNOE4Td;{5W zYA{EfJJpDwL&6V0KwFGwcXFa5&XaIIG?=gsz8LC=^@#fsaEJ=P=l8oy-H#0_tSie+ z8oUxAKOw~TL$%fgWA3L05*7$6bY##X=4ZfUA~)3*&anBp0fn`>;)_!?qJCje61v?j zw{u=bC{-isR|ZwvvaQy3zrKu6sz%grfI?I{clzGke6%In9G&HUYnWjUURFyx&Fo*S zQk*9I4klb5^-+`IDs|aO9*JX*Q%!LP_Lw-D|7Yw7^RaTBN<)sFEGpB8-@}NTh!LH^ z;ib9#5*OD$ME;L+vQQlDS>3x=F8IeukFXC@VF{bI zDwXXKuAlmou_CP1GVq#FBIVDZFeX2@xE%GD-Cst6;wEr$DWlKGyrSWRIV`ynC1ONfi3P%sF)Dav0}4yj&w*ko zVy*%VK9ck!QrcEyvb|Fh=-pKfDXd7DPAMZs*44n`+nZllh_^dmeI!(_P>C2(*8mCu zEAMwqX?jJREO?aRg{^fJ9GI*ou}1@YoM4l~=Nn_^SH|V|`C|+;Y?4$sem<5X@0#Fc zLaWsY+0AjRL4|#~A%2sH5p*0tCrZKa+V`yX7FJ{^m8HYgg|42BGjPWnYS`LI?kf({ zr2!|v0A!Z)04a&iMa}X~cP+yW3_t2wQE@(y|1;u!P$co%AZpAr^Z(^&gi3kZUB^JT zieVc&4#Uo@0@RC=dtGo(7D0O|gd7914X3)Jd0x*Luzvp?a4p2q#Itw_hS}sR-CmRF)A2<^!jRu|q1JTgpK#S%%+`w28)*I)1 zDv7c{ikKS$gZ^W2aA3}@lxo|f`dG6jf#_2WD=fAj%jkG*CCNMuOe~3}SF{eqNA4Yp z7CX!CMur>avZqoWEqMk$Jen#Ke`Da$uz3QBT*|74;+}5EVGVo8PE}m<3Plpn01+=4 z;TeBq(WFdME|hJf1{pRoP)3W&hsnrm5_(fY)13P9E=|X zl6rGc)d$9kgv6gFtCJ0P3quSWAd0~(h>>(lkl;sL)IEH#@8(Mv9bAxWjoqybE9@&$ zL<`3UuSnpn0Yvwl%Zr_vZBA9(Z45MQEg=z7YVw41Ta_ib1Tx%fOiZP6)$0|xZ&c1C z#j*1Ks@*e<0TV&rG&j*5Dohj3f(c01NcNrb=+>E8x5>c6M&d+COP@TYx@2z#8(-Rc zM6xx+@4?t&uwikof?GvB;?4#RRoMSz97#CGz`{nM0?exsbuLgh5EMQ{_OL9O#I+