From cfbc38e0b228fc94f38e8759673b0b5de77573e1 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 10 Jun 2020 03:28:11 -0400 Subject: [PATCH 001/115] First Commit --- TarunsModel/Simulation/TarunsModel.py | 10 + TarunsModel/Simulation/TarunsModel.xml | 334 ++++++++++++++++++ .../Simulation/TarunsModelSteppables.py | 159 +++++++++ TarunsModel/TarunsModel.cc3d | 5 + 4 files changed, 508 insertions(+) create mode 100644 TarunsModel/Simulation/TarunsModel.py create mode 100644 TarunsModel/Simulation/TarunsModel.xml create mode 100644 TarunsModel/Simulation/TarunsModelSteppables.py create mode 100644 TarunsModel/TarunsModel.cc3d diff --git a/TarunsModel/Simulation/TarunsModel.py b/TarunsModel/Simulation/TarunsModel.py new file mode 100644 index 00000000..fd99828c --- /dev/null +++ b/TarunsModel/Simulation/TarunsModel.py @@ -0,0 +1,10 @@ + +from cc3d import CompuCellSetup + +from TarunsModelSteppables import TarunsModelSteppable +CompuCellSetup.register_steppable(steppable=TarunsModelSteppable(frequency=1)) + +from TarunsModelSteppables import PlotsSteppable +CompuCellSetup.register_steppable(steppable=PlotsSteppable(frequency=1)) + +CompuCellSetup.run() diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml new file mode 100644 index 00000000..f581cce0 --- /dev/null +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -0,0 +1,334 @@ + + + + + + 1 + 10 + + + + + + + + 100000 + 10.0 + 1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 1 + + + + + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 10.0 + 4 + + + + + + + + + + + + Virus + 0.1 + 0.01 + + + + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + CK0 + 0.1 + 1e-05 + + + + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + + + + + + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + CK1 + 0.1 + 1e-05 + + + + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + + + + + + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + CK2 + 0.1 + 1e-05 + + + + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + 0.0001 + + + + + + 0.1 + 0.1 + 0.1 + 0.1 + 0.1 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 0 + 3 + E + + + diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py new file mode 100644 index 00000000..0282ef03 --- /dev/null +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -0,0 +1,159 @@ +from cc3d.core.PySteppables import * +import numpy as np + +min_to_mcs = 60.0 # min/mcs +days_to_mcs = min_to_mcs / 1440.0 # day/mcs +days_to_simulate = 4.0 #10 in the original model + +model_string = ''' +#reactions +J1: -> E; dE*E0; +J2: E ->; dE*E; +J3: E -> Ev; bE*V*E; +J4: Ev -> E; aE*Ev; +J5: Ev ->; dE*Ev; +J6: Ev ->; kE*g*Ev*Tc; +J7: -> V; pV*Ev; +J8: V ->; cV*V; +J9: -> Da; bD*V*(D0-Da); +J10: Da ->; dD*Da; +J11: -> Dm; kD*Da; +J12: Dm ->; dDm*Dm; +J13: -> Tc; dc*Tc0; +J14: Tc ->; dc*Tc; +J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; +J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); +J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; +J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; +J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); +J20: Th1 ->; m*Th1; +J21: -> Th2; s2*Th2/(1+Th2); +J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; +J23: Th2 ->; m*Th2; + +//parameters +E0=5.0*10^5; aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; +kE=1.19*10^-2; g=0.15; tC=0.5; +pV=1.9; cV=1; +D0=10^3; bD=10^-2; dD=2.9; +kD=0.5; tD=10; dDm=0.5; +dc=1.5*10^-3; Tc0=1*10^3; pT1=2.7; pT2=600; dT1=2; dT2=1; +s1=1.1; p1=2; d1=0.1; m=0.25; +s2=0.1; p2=0.01; ro=0.5; + +// Initial Conditions +E = E0; +V = 10; +Th1=100; +Th2=100; +''' + +class TarunsModelSteppable(SteppableBasePy): + def __init__(self,frequency=1): + SteppableBasePy.__init__(self,frequency) + + def start(self): + # Uptading max simulation steps using scaling factor to simulate 10 days + self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs + + self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) + + self.initial_uninfected = len(self.cell_list_by_type(self.E)) + self.scalar_virus = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected + + def step(self,mcs): + self.timestep_sbml() + + for cell in self.cell_list_by_type(self.D): + ## Transition from D to E + # J1: -> E; dE*E0; + dE = self.sbml.FullModel['dE'] * days_to_mcs + p_DtoE = dE + if p_DtoE > np.random.random(): + cell.type = self.E + + for cell in self.cell_list_by_type(self.E): + ## Transition from E to D + # J2: E ->; dE*E; + dE = self.sbml.FullModel['dE'] * days_to_mcs + p_EtoD = dE + if p_EtoD > np.random.random(): + cell.type = self.D + + ## Transition from E to Ev + # J3: E -> Ev; bE*V*E; + bE = self.sbml.FullModel['bE'] * days_to_mcs + #V = self.sbml.FullModel['V'] + V = self.scalar_virus / self.initial_uninfected * self.sbml.FullModel['E0'] + p_EtoEv = bE * V + if p_EtoEv > np.random.random(): + cell.type = self.EV + + total_production = 0.0 + secretor = self.get_field_secretor("Virus") + for cell in self.cell_list_by_type(self.EV): + ## Transition from Ev to E + # J4: Ev -> E; aE*Ev; + aE = self.sbml.FullModel['aE'] * days_to_mcs + p_EvtoE = aE + if p_EvtoE > np.random.random(): + cell.type = self.E + + ## Transition from Ev to D + # J5: Ev ->; dE*Ev; + dE = self.sbml.FullModel['dE'] * days_to_mcs + p_EvtoD = dE + if p_EvtoD > np.random.random(): + cell.type = self.D + + ## Virus Production + # J7: -> V; pV*Ev; + pV = self.sbml.FullModel['pV'] * days_to_mcs + release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) + total_production += abs(release.tot_amount) + + self.scalar_virus += total_production - self.scalar_virus * days_to_mcs * self.sbml.FullModel['cV'] + self.shared_steppable_vars['scalar_virus'] = self.scalar_virus + +class PlotsSteppable(SteppableBasePy): + def __init__(self,frequency=1): + SteppableBasePy.__init__(self,frequency) + + def start(self): + self.initial_uninfected = len(self.cell_list_by_type(self.E)) + + self.plot_win = self.add_new_plot_window(title='Fraction of Uninfected Cells', + x_axis_title='MonteCarlo Step (MCS)', + y_axis_title='Fraction of Uninfected Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) + self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) + self.plot_win.add_plot("ODEEv", style='Dots', color='yellow', size=5) + self.plot_win.add_plot("CC3DEv", style='Lines', color='yellow', size=5) + + self.plot_win2 = self.add_new_plot_window(title='Virus', + x_axis_title='MonteCarlo Step (MCS)', + y_axis_title='Virus', x_scale_type='linear', y_scale_type='log', + grid=False) + + self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) + self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) + + def step(self, mcs): + self.scalar_virus = self.shared_steppable_vars['scalar_virus'] + + self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, + self.sbml.FullModel['E']/self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, + self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, + self.sbml.FullModel['V']/self.sbml.FullModel['E0']) + + self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, + len(self.cell_list_by_type(self.E))/self.initial_uninfected) + self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, + len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, + self.scalar_virus/self.initial_uninfected) \ No newline at end of file diff --git a/TarunsModel/TarunsModel.cc3d b/TarunsModel/TarunsModel.cc3d new file mode 100644 index 00000000..b5ee4b01 --- /dev/null +++ b/TarunsModel/TarunsModel.cc3d @@ -0,0 +1,5 @@ + + Simulation/TarunsModel.xml + Simulation/TarunsModel.py + Simulation/TarunsModelSteppables.py + From fdc0441f6c31d35b83c602b36d93552db738d5c7 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 10 Jun 2020 13:48:49 -0400 Subject: [PATCH 002/115] Epithelial Cells preliminary --- .../Simulation/TarunsModelSteppables.py | 32 +++++++++++++------ 1 file changed, 22 insertions(+), 10 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 0282ef03..f5b9e62d 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -3,7 +3,7 @@ min_to_mcs = 60.0 # min/mcs days_to_mcs = min_to_mcs / 1440.0 # day/mcs -days_to_simulate = 4.0 #10 in the original model +days_to_simulate = 5.0 model_string = ''' #reactions @@ -63,11 +63,10 @@ def start(self): def step(self,mcs): self.timestep_sbml() - for cell in self.cell_list_by_type(self.D): ## Transition from D to E # J1: -> E; dE*E0; - dE = self.sbml.FullModel['dE'] * days_to_mcs + dE = self.sbml.FullModel['dE'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected p_DtoE = dE if p_DtoE > np.random.random(): cell.type = self.E @@ -82,14 +81,14 @@ def step(self,mcs): ## Transition from E to Ev # J3: E -> Ev; bE*V*E; - bE = self.sbml.FullModel['bE'] * days_to_mcs - #V = self.sbml.FullModel['V'] - V = self.scalar_virus / self.initial_uninfected * self.sbml.FullModel['E0'] + bE = self.sbml.FullModel['bE'] * days_to_mcs * self.sbml.FullModel['E0'] + #V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] + V = self.scalar_virus / self.initial_uninfected p_EtoEv = bE * V if p_EtoEv > np.random.random(): cell.type = self.EV - total_production = 0.0 + virus_production = 0.0 secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.EV): ## Transition from Ev to E @@ -106,13 +105,26 @@ def step(self,mcs): if p_EvtoD > np.random.random(): cell.type = self.D + ## Transition from Ev to D + # J6: Ev ->; kE*g*Ev*Tc; + dE = self.sbml.FullModel['dE'] * days_to_mcs * self.sbml.FullModel['E0'] + g = self.sbml.FullModel['g'] + Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] + p_EvtoD = dE * g * Tc + if p_EvtoD > np.random.random(): + cell.type = self.D + ## Virus Production # J7: -> V; pV*Ev; pV = self.sbml.FullModel['pV'] * days_to_mcs release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) - total_production += abs(release.tot_amount) + virus_production += abs(release.tot_amount) - self.scalar_virus += total_production - self.scalar_virus * days_to_mcs * self.sbml.FullModel['cV'] + ## Virus Decay + # J8: V ->; cV*V; + cV = self.sbml.FullModel['cV'] * days_to_mcs + virus_decay = cV * self.scalar_virus + self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus class PlotsSteppable(SteppableBasePy): @@ -122,7 +134,7 @@ def __init__(self,frequency=1): def start(self): self.initial_uninfected = len(self.cell_list_by_type(self.E)) - self.plot_win = self.add_new_plot_window(title='Fraction of Uninfected Cells', + self.plot_win = self.add_new_plot_window(title='Fraction of Cells', x_axis_title='MonteCarlo Step (MCS)', y_axis_title='Fraction of Uninfected Cells', x_scale_type='linear', y_scale_type='linear', From 19d6e516c7f617b14a6c075b784b4665e54f15e1 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 10 Jun 2020 13:52:21 -0400 Subject: [PATCH 003/115] Reactions 1-8 --- .../Simulation/TarunsModelSteppables.py | 36 ++++++++++++++----- 1 file changed, 28 insertions(+), 8 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index f5b9e62d..3bd29e34 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -32,14 +32,34 @@ J23: Th2 ->; m*Th2; //parameters -E0=5.0*10^5; aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2; g=0.15; tC=0.5; -pV=1.9; cV=1; -D0=10^3; bD=10^-2; dD=2.9; -kD=0.5; tD=10; dDm=0.5; -dc=1.5*10^-3; Tc0=1*10^3; pT1=2.7; pT2=600; dT1=2; dT2=1; -s1=1.1; p1=2; d1=0.1; m=0.25; -s2=0.1; p2=0.01; ro=0.5; +E0=5.0*10^5; +aE=5.0*10^-2; +bE=2*10^-5; +dE=10^-3; +kE=1.19*10^-2; +g=0.15; +tC=0.5; +pV=1.9; +cV=1; +D0=10^3; +bD=10^-2; +dD=2.9; +kD=0.5; +tD=10; +dDm=0.5; +dc=1.5*10^-3; +Tc0=1*10^3; +pT1=2.7; +pT2=600; +dT1=2; +dT2=1; +s1=1.1; +p1=2; +d1=0.1; +m=0.25; +s2=0.1; +p2=0.01; +ro=0.5; // Initial Conditions E = E0; From d21fca22dc0a15e86f211c19db5227c744ebc2de Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 10 Jun 2020 14:11:50 -0400 Subject: [PATCH 004/115] Created flag to determine virus infection feedback --- TarunsModel/Simulation/TarunsModelSteppables.py | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 3bd29e34..389a0f2a 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -5,6 +5,11 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 5.0 +## virus_infection_feedback: determines how virus is determine for infection of epithelial cells +# virus_infection_feedback = 1 # Virus per cell is determined from the ODEs +virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells +# virus_infection_feedback = 3 # Virus per cell is determined from the virus field from CC3D + model_string = ''' #reactions J1: -> E; dE*E0; @@ -102,8 +107,11 @@ def step(self,mcs): ## Transition from E to Ev # J3: E -> Ev; bE*V*E; bE = self.sbml.FullModel['bE'] * days_to_mcs * self.sbml.FullModel['E0'] - #V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] - V = self.scalar_virus / self.initial_uninfected + if virus_infection_feedback == 1: + V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] + elif virus_infection_feedback == 2: + V = self.scalar_virus / self.initial_uninfected + elif virus_infection_feedback == 3: p_EtoEv = bE * V if p_EtoEv > np.random.random(): cell.type = self.EV From eee3c12b403a873123fdb278f810660f1748faa6 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 10 Jun 2020 15:53:01 -0400 Subject: [PATCH 005/115] Fixed Virus XML --- TarunsModel/Simulation/TarunsModel.xml | 54 ++----------------- .../Simulation/TarunsModelSteppables.py | 13 +++-- 2 files changed, 11 insertions(+), 56 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index f581cce0..ed6023c7 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -101,55 +101,20 @@ Virus - 0.1 - 0.01 - - - - 0.1 - 0.1 - 0.1 - 0.1 - 0.1 - 0.0001 - 0.0001 - 0.0001 - 0.0001 - 0.0001 + 10.0 + 0.01 + 10.0/(300*300) - - - - - - - - - - - - - - - - - - - - - - - @@ -268,19 +233,6 @@ CK2 0.1 1e-05 - - - - 0.1 - 0.1 - 0.1 - 0.1 - 0.1 - 0.0001 - 0.0001 - 0.0001 - 0.0001 - 0.0001 diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 389a0f2a..d1b49331 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -7,7 +7,7 @@ ## virus_infection_feedback: determines how virus is determine for infection of epithelial cells # virus_infection_feedback = 1 # Virus per cell is determined from the ODEs -virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells +# virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells # virus_infection_feedback = 3 # Virus per cell is determined from the virus field from CC3D model_string = ''' @@ -79,15 +79,15 @@ def __init__(self,frequency=1): def start(self): # Uptading max simulation steps using scaling factor to simulate 10 days - self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs - self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) - + self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) + self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected def step(self,mcs): self.timestep_sbml() + secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.D): ## Transition from D to E # J1: -> E; dE*E0; @@ -112,12 +112,15 @@ def step(self,mcs): elif virus_infection_feedback == 2: V = self.scalar_virus / self.initial_uninfected elif virus_infection_feedback == 3: + uptake_probability = 0.0000001 + uptake = secretor.uptakeInsideCellTotalCount(cell, 1E6, uptake_probability) + V = abs(uptake.tot_amount) / uptake_probability + secretor.secreteInsideCellTotalCount(cell, abs(uptake.tot_amount) / cell.volume) p_EtoEv = bE * V if p_EtoEv > np.random.random(): cell.type = self.EV virus_production = 0.0 - secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.EV): ## Transition from Ev to E # J4: Ev -> E; aE*Ev; From 07b5df41507b9f5de62c2d0e91af6ebf0684c913 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 10 Jun 2020 18:46:24 -0400 Subject: [PATCH 006/115] Fixed ODEs to include dead type --- TarunsModel/Simulation/TarunsModelSteppables.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index d1b49331..8c9af1a3 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -7,17 +7,17 @@ ## virus_infection_feedback: determines how virus is determine for infection of epithelial cells # virus_infection_feedback = 1 # Virus per cell is determined from the ODEs -# virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells -# virus_infection_feedback = 3 # Virus per cell is determined from the virus field from CC3D +virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells +# virus_infection_feedback = 3 # Virus per cell is determined from the virus field from CC3D NOT WORKING model_string = ''' #reactions -J1: -> E; dE*E0; -J2: E ->; dE*E; +J1: D -> E; dE*D; +J2: E -> D; dE*E; J3: E -> Ev; bE*V*E; J4: Ev -> E; aE*Ev; -J5: Ev ->; dE*Ev; -J6: Ev ->; kE*g*Ev*Tc; +J5: Ev -> D; dE*Ev; +J6: Ev -> D; kE*g*Ev*Tc; J7: -> V; pV*Ev; J8: V ->; cV*V; J9: -> Da; bD*V*(D0-Da); From 5c97f8beb81506693914a29608b5aa72449f3f0d Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 10 Jun 2020 23:46:43 -0400 Subject: [PATCH 007/115] Added plotting of external virus field --- TarunsModel/Simulation/TarunsModel.xml | 27 ++++--------- .../Simulation/TarunsModelSteppables.py | 38 ++++++++++++++----- 2 files changed, 35 insertions(+), 30 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index ed6023c7..65d0a9c5 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -1,7 +1,6 @@ - 1 10 @@ -9,7 +8,6 @@ - 100000 @@ -18,7 +16,6 @@ - @@ -45,26 +42,21 @@ - - - - - - - - 1 - + + + + 10.0 @@ -90,20 +82,15 @@ 10.0 4 - - - - - Virus - 10.0 - 0.01 - 10.0/(300*300) + 1.0 + 0.0 + 10.0/10000.0 diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 8c9af1a3..ed8d96ac 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -3,12 +3,12 @@ min_to_mcs = 60.0 # min/mcs days_to_mcs = min_to_mcs / 1440.0 # day/mcs -days_to_simulate = 5.0 +days_to_simulate = 10.0 ## virus_infection_feedback: determines how virus is determine for infection of epithelial cells # virus_infection_feedback = 1 # Virus per cell is determined from the ODEs -virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells -# virus_infection_feedback = 3 # Virus per cell is determined from the virus field from CC3D NOT WORKING +# virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells +virus_infection_feedback = 3 # Virus per cell is determined from the virus field from CC3D NOT WORKING model_string = ''' #reactions @@ -86,7 +86,7 @@ def start(self): self.scalar_virus = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected def step(self,mcs): - self.timestep_sbml() + secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.D): ## Transition from D to E @@ -109,12 +109,12 @@ def step(self,mcs): bE = self.sbml.FullModel['bE'] * days_to_mcs * self.sbml.FullModel['E0'] if virus_infection_feedback == 1: V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] - elif virus_infection_feedback == 2: + if virus_infection_feedback == 2: V = self.scalar_virus / self.initial_uninfected - elif virus_infection_feedback == 3: + if virus_infection_feedback == 3: uptake_probability = 0.0000001 uptake = secretor.uptakeInsideCellTotalCount(cell, 1E6, uptake_probability) - V = abs(uptake.tot_amount) / uptake_probability + V = abs(uptake.tot_amount) / uptake_probability * 1.5 secretor.secreteInsideCellTotalCount(cell, abs(uptake.tot_amount) / cell.volume) p_EtoEv = bE * V if p_EtoEv > np.random.random(): @@ -155,9 +155,21 @@ def step(self,mcs): # J8: V ->; cV*V; cV = self.sbml.FullModel['cV'] * days_to_mcs virus_decay = cV * self.scalar_virus + print('cV = ', cV ) + print('Initial = ',self.initial_uninfected) self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus + ## Measure field virus + self.field_virus = 0.0 + for cell in self.cell_list: + uptake_probability = 0.0000001 + uptake = secretor.uptakeInsideCellTotalCount(cell, 1E6, uptake_probability) + V = abs(uptake.tot_amount) / uptake_probability + self.field_virus += V + secretor.secreteInsideCellTotalCount(cell, abs(uptake.tot_amount) / cell.volume) + self.shared_steppable_vars['field_virus'] = self.scalar_virus + class PlotsSteppable(SteppableBasePy): def __init__(self,frequency=1): SteppableBasePy.__init__(self,frequency) @@ -186,17 +198,23 @@ def start(self): def step(self, mcs): self.scalar_virus = self.shared_steppable_vars['scalar_virus'] + self.field_virus = self.shared_steppable_vars['field_virus'] + self.timestep_sbml() self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E']/self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, - self.sbml.FullModel['V']/self.sbml.FullModel['E0']) + self.sbml.FullModel['V'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) - self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, - self.scalar_virus/self.initial_uninfected) \ No newline at end of file + if virus_infection_feedback == 3: + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, + self.field_virus / self.initial_uninfected) + else: + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, + self.scalar_virus / self.initial_uninfected) \ No newline at end of file From 6b6554c63c73615b6f12c9c38ccaed6c9e124e54 Mon Sep 17 00:00:00 2001 From: joaponte Date: Fri, 12 Jun 2020 13:26:41 -0400 Subject: [PATCH 008/115] First Commit --- .../Simulation/TarunsModelSteppables.py | 96 +++---------------- 1 file changed, 11 insertions(+), 85 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index ed8d96ac..11369a4b 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -5,11 +5,6 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 10.0 -## virus_infection_feedback: determines how virus is determine for infection of epithelial cells -# virus_infection_feedback = 1 # Virus per cell is determined from the ODEs -# virus_infection_feedback = 2 # Virus per cell is determined from a scalar quantity from CC3D cells -virus_infection_feedback = 3 # Virus per cell is determined from the virus field from CC3D NOT WORKING - model_string = ''' #reactions J1: D -> E; dE*D; @@ -83,71 +78,25 @@ def start(self): self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs - self.scalar_virus = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected + self.scalar_virus = self.sbml.FullModel['V'] def step(self,mcs): - secretor = self.get_field_secretor("Virus") - for cell in self.cell_list_by_type(self.D): - ## Transition from D to E - # J1: -> E; dE*E0; - dE = self.sbml.FullModel['dE'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected - p_DtoE = dE - if p_DtoE > np.random.random(): - cell.type = self.E - for cell in self.cell_list_by_type(self.E): - ## Transition from E to D - # J2: E ->; dE*E; - dE = self.sbml.FullModel['dE'] * days_to_mcs - p_EtoD = dE - if p_EtoD > np.random.random(): - cell.type = self.D - ## Transition from E to Ev # J3: E -> Ev; bE*V*E; - bE = self.sbml.FullModel['bE'] * days_to_mcs * self.sbml.FullModel['E0'] - if virus_infection_feedback == 1: - V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] - if virus_infection_feedback == 2: - V = self.scalar_virus / self.initial_uninfected - if virus_infection_feedback == 3: - uptake_probability = 0.0000001 - uptake = secretor.uptakeInsideCellTotalCount(cell, 1E6, uptake_probability) - V = abs(uptake.tot_amount) / uptake_probability * 1.5 - secretor.secreteInsideCellTotalCount(cell, abs(uptake.tot_amount) / cell.volume) + bE = self.sbml.FullModel['bE'] * days_to_mcs + #V = self.sbml.FullModel['V'] + V = self.scalar_virus p_EtoEv = bE * V if p_EtoEv > np.random.random(): cell.type = self.EV virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): - ## Transition from Ev to E - # J4: Ev -> E; aE*Ev; - aE = self.sbml.FullModel['aE'] * days_to_mcs - p_EvtoE = aE - if p_EvtoE > np.random.random(): - cell.type = self.E - - ## Transition from Ev to D - # J5: Ev ->; dE*Ev; - dE = self.sbml.FullModel['dE'] * days_to_mcs - p_EvtoD = dE - if p_EvtoD > np.random.random(): - cell.type = self.D - - ## Transition from Ev to D - # J6: Ev ->; kE*g*Ev*Tc; - dE = self.sbml.FullModel['dE'] * days_to_mcs * self.sbml.FullModel['E0'] - g = self.sbml.FullModel['g'] - Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] - p_EvtoD = dE * g * Tc - if p_EvtoD > np.random.random(): - cell.type = self.D - ## Virus Production # J7: -> V; pV*Ev; - pV = self.sbml.FullModel['pV'] * days_to_mcs + pV = self.sbml.FullModel['pV'] * days_to_mcs /self.initial_uninfected * self.sbml.FullModel['E0'] release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) virus_production += abs(release.tot_amount) @@ -155,20 +104,11 @@ def step(self,mcs): # J8: V ->; cV*V; cV = self.sbml.FullModel['cV'] * days_to_mcs virus_decay = cV * self.scalar_virus - print('cV = ', cV ) - print('Initial = ',self.initial_uninfected) self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus - ## Measure field virus - self.field_virus = 0.0 - for cell in self.cell_list: - uptake_probability = 0.0000001 - uptake = secretor.uptakeInsideCellTotalCount(cell, 1E6, uptake_probability) - V = abs(uptake.tot_amount) / uptake_probability - self.field_virus += V - secretor.secreteInsideCellTotalCount(cell, abs(uptake.tot_amount) / cell.volume) - self.shared_steppable_vars['field_virus'] = self.scalar_virus + ## Step SBML forward + self.timestep_sbml() class PlotsSteppable(SteppableBasePy): def __init__(self,frequency=1): @@ -185,8 +125,6 @@ def start(self): self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) - self.plot_win.add_plot("ODEEv", style='Dots', color='yellow', size=5) - self.plot_win.add_plot("CC3DEv", style='Lines', color='yellow', size=5) self.plot_win2 = self.add_new_plot_window(title='Virus', x_axis_title='MonteCarlo Step (MCS)', @@ -198,23 +136,11 @@ def start(self): def step(self, mcs): self.scalar_virus = self.shared_steppable_vars['scalar_virus'] - self.field_virus = self.shared_steppable_vars['field_virus'] - self.timestep_sbml() - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, - self.sbml.FullModel['E']/self.sbml.FullModel['E0']) - self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, - self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, - self.sbml.FullModel['V'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODEE", mcs * days_to_mcs,self.sbml.FullModel['E']/self.sbml.FullModel['E0']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) - self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, - len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) - if virus_infection_feedback == 3: - self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, - self.field_virus / self.initial_uninfected) - else: - self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, - self.scalar_virus / self.initial_uninfected) \ No newline at end of file + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, + self.scalar_virus) \ No newline at end of file From 24f22ba5bb7597b924029989ae220886e5aa6c05 Mon Sep 17 00:00:00 2001 From: joaponte Date: Tue, 16 Jun 2020 16:48:29 -0400 Subject: [PATCH 009/115] Fixing boundary conditions --- TarunsModel/Simulation/TarunsModel.xml | 6 +++--- TarunsModel/Simulation/TarunsModelSteppables.py | 17 +++++++++++++---- 2 files changed, 16 insertions(+), 7 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index 65d0a9c5..770be31b 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -100,8 +100,9 @@ - - + + + @@ -260,7 +261,6 @@ - diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 11369a4b..93c44ee0 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -5,6 +5,8 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 10.0 +virus_infection_feedback = 3 + model_string = ''' #reactions J1: D -> E; dE*D; @@ -77,7 +79,7 @@ def start(self): self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) - self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs + self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * self.initial_uninfected / self.sbml.FullModel['E0'] self.scalar_virus = self.sbml.FullModel['V'] def step(self,mcs): @@ -85,9 +87,16 @@ def step(self,mcs): for cell in self.cell_list_by_type(self.E): ## Transition from E to Ev # J3: E -> Ev; bE*V*E; - bE = self.sbml.FullModel['bE'] * days_to_mcs - #V = self.sbml.FullModel['V'] - V = self.scalar_virus + if virus_infection_feedback == 1: + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = self.sbml.FullModel['V'] + if virus_infection_feedback == 2: + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = self.scalar_virus + # V = secretor.totalFieldIntegral() + if virus_infection_feedback == 3: + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = secretor.amountSeenByCell(cell) * self.initial_uninfected p_EtoEv = bE * V if p_EtoEv > np.random.random(): cell.type = self.EV From 336de2da383adbb69fc34593ac83d458611f303e Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 24 Jun 2020 10:53:42 -0400 Subject: [PATCH 010/115] Changed dimensions --- TarunsModel/Simulation/TarunsModel.xml | 163 +----------------- .../Simulation/TarunsModelSteppables.py | 23 ++- 2 files changed, 19 insertions(+), 167 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index 770be31b..d36d0faf 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -9,7 +9,7 @@ - + 100000 10.0 1 @@ -90,7 +90,8 @@ Virus 1.0 0.0 - 10.0/10000.0 + 10/(300*300) + Medium @@ -101,160 +102,6 @@ - - - - - - - - CK0 - 0.1 - 1e-05 - - - - 0.1 - 0.1 - 0.1 - 0.1 - 0.1 - 0.0001 - 0.0001 - 0.0001 - 0.0001 - 0.0001 - - - - - - 0.1 - 0.1 - 0.1 - 0.1 - 0.1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - CK1 - 0.1 - 1e-05 - - - - 0.1 - 0.1 - 0.1 - 0.1 - 0.1 - 0.0001 - 0.0001 - 0.0001 - 0.0001 - 0.0001 - - - - - - 0.1 - 0.1 - 0.1 - 0.1 - 0.1 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - CK2 - 0.1 - 1e-05 - - - - - - 0.1 - 0.1 - 0.1 - 0.1 - 0.1 - - - - - - - - - - - - - - - - - - - - - - - - @@ -263,8 +110,8 @@ - - + + 0 3 E diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 93c44ee0..fbf0fe1f 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -5,7 +5,7 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 10.0 -virus_infection_feedback = 3 +virus_infection_feedback = 1 model_string = ''' #reactions @@ -79,7 +79,7 @@ def start(self): self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) - self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * self.initial_uninfected / self.sbml.FullModel['E0'] + self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] def step(self,mcs): @@ -93,10 +93,9 @@ def step(self,mcs): if virus_infection_feedback == 2: bE = self.sbml.FullModel['bE'] * days_to_mcs V = self.scalar_virus - # V = secretor.totalFieldIntegral() if virus_infection_feedback == 3: - bE = self.sbml.FullModel['bE'] * days_to_mcs - V = secretor.amountSeenByCell(cell) * self.initial_uninfected + bE = self.sbml.FullModel['bE'] * days_to_mcs * self.initial_uninfected + V = secretor.amountSeenByCell(cell) p_EtoEv = bE * V if p_EtoEv > np.random.random(): cell.type = self.EV @@ -105,7 +104,7 @@ def step(self,mcs): for cell in self.cell_list_by_type(self.EV): ## Virus Production # J7: -> V; pV*Ev; - pV = self.sbml.FullModel['pV'] * days_to_mcs /self.initial_uninfected * self.sbml.FullModel['E0'] + pV = self.sbml.FullModel['pV'] * days_to_mcs / self.initial_uninfected * self.sbml.FullModel['E0'] release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) virus_production += abs(release.tot_amount) @@ -141,7 +140,8 @@ def start(self): grid=False) self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) - self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) + self.plot_win2.add_plot("CC3DVS", style='Lines', color='red', size=5) + self.plot_win2.add_plot("CC3DVF", style='Lines', color='orange', size=5) def step(self, mcs): self.scalar_virus = self.shared_steppable_vars['scalar_virus'] @@ -151,5 +151,10 @@ def step(self, mcs): self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) - self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, - self.scalar_virus) \ No newline at end of file + self.field_virus = 0.0 + secretor = self.get_field_secretor("Virus") + self.field_virus = 0.0 + for cell in self.cell_list: + self.field_virus += secretor.amountSeenByCell(cell) + self.plot_win2.add_data_point("CC3DVS", mcs * days_to_mcs, self.scalar_virus) + self.plot_win2.add_data_point("CC3DVF", mcs * days_to_mcs, self.field_virus) \ No newline at end of file From 0d613473e27ede810347916db6fdc1e640b058b9 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 24 Jun 2020 11:27:57 -0400 Subject: [PATCH 011/115] Equations 1-8 --- .../Simulation/TarunsModelSteppables.py | 69 ++++++++++++++++--- 1 file changed, 58 insertions(+), 11 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index fbf0fe1f..4849683c 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -5,10 +5,10 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 10.0 -virus_infection_feedback = 1 +virus_infection_feedback = 3 model_string = ''' -#reactions +// Equations J1: D -> E; dE*D; J2: E -> D; dE*E; J3: E -> Ev; bE*V*E; @@ -33,7 +33,7 @@ J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; J23: Th2 ->; m*Th2; -//parameters +// Parameters E0=5.0*10^5; aE=5.0*10^-2; bE=2*10^-5; @@ -84,7 +84,22 @@ def start(self): def step(self,mcs): secretor = self.get_field_secretor("Virus") + for cell in self.cell_list_by_type(self.D): + ## Transition from D to E + # J1: D -> E; dE*D; + dE = self.sbml.FullModel['dE'] * days_to_mcs + p_DtoE = dE + if p_DtoE > np.random.random(): + cell.type = self.E + for cell in self.cell_list_by_type(self.E): + ## Transition from E to D + # J2: E -> D; dE * E; + dE = self.sbml.FullModel['dE'] * days_to_mcs + p_EtoD = dE + if p_EtoD > np.random.random(): + cell.type = self.D + ## Transition from E to Ev # J3: E -> Ev; bE*V*E; if virus_infection_feedback == 1: @@ -102,6 +117,29 @@ def step(self,mcs): virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): + ## Transition from Ev to E + # J4: Ev -> E; aE*Ev; + aE = self.sbml.FullModel['aE'] * days_to_mcs + p_EvtoE = aE + if p_EvtoE > np.random.random(): + cell.type = self.E + + ## Transition from Ev to D + # J5: Ev -> D; dE*Ev; + dE = self.sbml.FullModel['dE'] * days_to_mcs + p_EvtoD = dE + if p_EvtoD > np.random.random(): + cell.type = self.D + + ## Transition from Ev to D + # J6: Ev -> D; kE * g * Ev * Tc; + kE = self.sbml.FullModel['kE'] * days_to_mcs + g = self.sbml.FullModel['g'] + Tc = self.sbml.FullModel['Tc'] + p_EvtoD = kE * g * Tc + if p_EvtoD > np.random.random(): + cell.type = self.D + ## Virus Production # J7: -> V; pV*Ev; pV = self.sbml.FullModel['pV'] * days_to_mcs / self.initial_uninfected * self.sbml.FullModel['E0'] @@ -132,7 +170,11 @@ def start(self): grid=False) self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) + self.plot_win.add_plot("ODEEv", style='Dots', color='yellow', size=5) + self.plot_win.add_plot("ODED", style='Dots', color='red', size=5) self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) + self.plot_win.add_plot("CC3DEv", style='Lines', color='yellow', size=5) + self.plot_win.add_plot("CC3DD", style='Lines', color='red', size=5) self.plot_win2 = self.add_new_plot_window(title='Virus', x_axis_title='MonteCarlo Step (MCS)', @@ -140,21 +182,26 @@ def start(self): grid=False) self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) - self.plot_win2.add_plot("CC3DVS", style='Lines', color='red', size=5) - self.plot_win2.add_plot("CC3DVF", style='Lines', color='orange', size=5) + # self.plot_win2.add_plot("CC3DVS", style='Lines', color='red', size=5) + self.plot_win2.add_plot("CC3DVF", style='Lines', color='red', size=5) def step(self, mcs): + secretor = self.get_field_secretor("Virus") + self.field_virus = 0.0 + for cell in self.cell_list: + self.field_virus += secretor.amountSeenByCell(cell) self.scalar_virus = self.shared_steppable_vars['scalar_virus'] self.plot_win.add_data_point("ODEE", mcs * days_to_mcs,self.sbml.FullModel['E']/self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) - self.field_virus = 0.0 - secretor = self.get_field_secretor("Virus") - self.field_virus = 0.0 - for cell in self.cell_list: - self.field_virus += secretor.amountSeenByCell(cell) - self.plot_win2.add_data_point("CC3DVS", mcs * days_to_mcs, self.scalar_virus) + self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, + len(self.cell_list_by_type(self.EV))/self.initial_uninfected) + self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, + len(self.cell_list_by_type(self.D)) / self.initial_uninfected) + # self.plot_win2.add_data_point("CC3DVS", mcs * days_to_mcs, self.scalar_virus) self.plot_win2.add_data_point("CC3DVF", mcs * days_to_mcs, self.field_virus) \ No newline at end of file From 1ae6c694511f6d4dee8dd184ee0107f31abb868f Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 24 Jun 2020 12:41:39 -0400 Subject: [PATCH 012/115] Tracking Tcells, went back to two dimensions --- TarunsModel/Simulation/TarunsModel.xml | 6 +-- .../Simulation/TarunsModelSteppables.py | 40 ++++++++++--------- 2 files changed, 25 insertions(+), 21 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index d36d0faf..bf843fda 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -9,7 +9,7 @@ - + 100000 10.0 1 @@ -110,8 +110,8 @@ - - + + 0 3 E diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 4849683c..bf256158 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -3,9 +3,9 @@ min_to_mcs = 60.0 # min/mcs days_to_mcs = min_to_mcs / 1440.0 # day/mcs -days_to_simulate = 10.0 +days_to_simulate = 15.0 -virus_infection_feedback = 3 +virus_infection_feedback = 1 model_string = ''' // Equations @@ -34,7 +34,6 @@ J23: Th2 ->; m*Th2; // Parameters -E0=5.0*10^5; aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; @@ -50,7 +49,6 @@ tD=10; dDm=0.5; dc=1.5*10^-3; -Tc0=1*10^3; pT1=2.7; pT2=600; dT1=2; @@ -64,6 +62,8 @@ ro=0.5; // Initial Conditions +E0= 5.0*10^5; +Tc0 = 1*10^3; E = E0; V = 10; Th1=100; @@ -163,9 +163,9 @@ def __init__(self,frequency=1): def start(self): self.initial_uninfected = len(self.cell_list_by_type(self.E)) - self.plot_win = self.add_new_plot_window(title='Fraction of Cells', - x_axis_title='MonteCarlo Step (MCS)', - y_axis_title='Fraction of Uninfected Cells', x_scale_type='linear', + self.plot_win = self.add_new_plot_window(title='Epithelial Cells', + x_axis_title='Time (days)', + y_axis_title='Fraction of Cells', x_scale_type='linear', y_scale_type='linear', grid=False) @@ -177,13 +177,20 @@ def start(self): self.plot_win.add_plot("CC3DD", style='Lines', color='red', size=5) self.plot_win2 = self.add_new_plot_window(title='Virus', - x_axis_title='MonteCarlo Step (MCS)', + x_axis_title='Time (days)', y_axis_title='Virus', x_scale_type='linear', y_scale_type='log', grid=False) self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) - # self.plot_win2.add_plot("CC3DVS", style='Lines', color='red', size=5) - self.plot_win2.add_plot("CC3DVF", style='Lines', color='red', size=5) + self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) + + self.plot_win3 = self.add_new_plot_window(title='Tcells', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', y_scale_type='linear', + grid=False) + + self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) + self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) def step(self, mcs): secretor = self.get_field_secretor("Virus") @@ -196,12 +203,9 @@ def step(self, mcs): self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) + self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, - len(self.cell_list_by_type(self.E))/self.initial_uninfected) - self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, - len(self.cell_list_by_type(self.EV))/self.initial_uninfected) - self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, - len(self.cell_list_by_type(self.D)) / self.initial_uninfected) - # self.plot_win2.add_data_point("CC3DVS", mcs * days_to_mcs, self.scalar_virus) - self.plot_win2.add_data_point("CC3DVF", mcs * days_to_mcs, self.field_virus) \ No newline at end of file + self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) + self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, len(self.cell_list_by_type(self.EV))/self.initial_uninfected) + self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) \ No newline at end of file From e2bc305042f1b6a7de48162562e83fb82be9c066 Mon Sep 17 00:00:00 2001 From: Juliano Date: Wed, 24 Jun 2020 12:49:02 -0400 Subject: [PATCH 013/115] organize and init some eqs --- .../Simulation/TarunsModelSteppables.py | 69 +++++++++++++------ 1 file changed, 48 insertions(+), 21 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index fbf0fe1f..58164e03 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -6,6 +6,7 @@ days_to_simulate = 10.0 virus_infection_feedback = 1 +recovery_feedback = 1 model_string = ''' #reactions @@ -70,9 +71,10 @@ Th2=100; ''' + class TarunsModelSteppable(SteppableBasePy): - def __init__(self,frequency=1): - SteppableBasePy.__init__(self,frequency) + def __init__(self, frequency=1): + SteppableBasePy.__init__(self, frequency) def start(self): # Uptading max simulation steps using scaling factor to simulate 10 days @@ -82,21 +84,42 @@ def start(self): self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] - def step(self,mcs): + def infection_transition(self): + ## Transition from E to Ev + # J3: E -> Ev; bE*V*E; + if virus_infection_feedback == 1: + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = self.sbml.FullModel['V'] + if virus_infection_feedback == 2: + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = self.scalar_virus + if virus_infection_feedback == 3: + bE = self.sbml.FullModel['bE'] * days_to_mcs * self.initial_uninfected + V = secretor.amountSeenByCell(cell) + p_E2Ev = bE * V + return p_E2Ev + + def recovery_transition(self): + # transition from Ev to E + # J4: Ev -> E; aE*Ev; + if recovery_feedback == 1: + aE = self.sbml.FullModel['aE'] * days_to_mcs + Ev = self.sbml.FullModel['Ev'] + elif recovery_feedback == 2: + aE = self.sbml.FullModel['aE'] * days_to_mcs + Ev = len(self.cell_list_by_type(self.EV)) + elif recovery_feedback == 1: + # aE = self.sbml.FullModel['aE'] * days_to_mcs + # aE = ? + Ev = 1 + p_Ev_2_E = aE * Ev + + return p_Ev_2_E + + def step(self, mcs): secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.E): - ## Transition from E to Ev - # J3: E -> Ev; bE*V*E; - if virus_infection_feedback == 1: - bE = self.sbml.FullModel['bE'] * days_to_mcs - V = self.sbml.FullModel['V'] - if virus_infection_feedback == 2: - bE = self.sbml.FullModel['bE'] * days_to_mcs - V = self.scalar_virus - if virus_infection_feedback == 3: - bE = self.sbml.FullModel['bE'] * days_to_mcs * self.initial_uninfected - V = secretor.amountSeenByCell(cell) - p_EtoEv = bE * V + p_EtoEv = self.infection_transition() # bE * V if p_EtoEv > np.random.random(): cell.type = self.EV @@ -108,6 +131,9 @@ def step(self,mcs): release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) virus_production += abs(release.tot_amount) + ## recovery + # J4: Ev -> E; aE*Ev; + ## Virus Decay # J8: V ->; cV*V; cV = self.sbml.FullModel['cV'] * days_to_mcs @@ -118,9 +144,10 @@ def step(self,mcs): ## Step SBML forward self.timestep_sbml() + class PlotsSteppable(SteppableBasePy): - def __init__(self,frequency=1): - SteppableBasePy.__init__(self,frequency) + def __init__(self, frequency=1): + SteppableBasePy.__init__(self, frequency) def start(self): self.initial_uninfected = len(self.cell_list_by_type(self.E)) @@ -146,15 +173,15 @@ def start(self): def step(self, mcs): self.scalar_virus = self.shared_steppable_vars['scalar_virus'] - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs,self.sbml.FullModel['E']/self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) + self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, - len(self.cell_list_by_type(self.E))/self.initial_uninfected) + len(self.cell_list_by_type(self.E)) / self.initial_uninfected) self.field_virus = 0.0 secretor = self.get_field_secretor("Virus") self.field_virus = 0.0 for cell in self.cell_list: self.field_virus += secretor.amountSeenByCell(cell) self.plot_win2.add_data_point("CC3DVS", mcs * days_to_mcs, self.scalar_virus) - self.plot_win2.add_data_point("CC3DVF", mcs * days_to_mcs, self.field_virus) \ No newline at end of file + self.plot_win2.add_data_point("CC3DVF", mcs * days_to_mcs, self.field_virus) From e2199498f21e885242f4765d3d62a2c0e2bda6ab Mon Sep 17 00:00:00 2001 From: Juliano Date: Wed, 24 Jun 2020 12:58:46 -0400 Subject: [PATCH 014/115] nuke --- .../Simulation/TarunsModelSteppables.py | 187 ------------------ 1 file changed, 187 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 58164e03..e69de29b 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -1,187 +0,0 @@ -from cc3d.core.PySteppables import * -import numpy as np - -min_to_mcs = 60.0 # min/mcs -days_to_mcs = min_to_mcs / 1440.0 # day/mcs -days_to_simulate = 10.0 - -virus_infection_feedback = 1 -recovery_feedback = 1 - -model_string = ''' -#reactions -J1: D -> E; dE*D; -J2: E -> D; dE*E; -J3: E -> Ev; bE*V*E; -J4: Ev -> E; aE*Ev; -J5: Ev -> D; dE*Ev; -J6: Ev -> D; kE*g*Ev*Tc; -J7: -> V; pV*Ev; -J8: V ->; cV*V; -J9: -> Da; bD*V*(D0-Da); -J10: Da ->; dD*Da; -J11: -> Dm; kD*Da; -J12: Dm ->; dDm*Dm; -J13: -> Tc; dc*Tc0; -J14: Tc ->; dc*Tc; -J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; -J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); -J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; -J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); -J20: Th1 ->; m*Th1; -J21: -> Th2; s2*Th2/(1+Th2); -J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; -J23: Th2 ->; m*Th2; - -//parameters -E0=5.0*10^5; -aE=5.0*10^-2; -bE=2*10^-5; -dE=10^-3; -kE=1.19*10^-2; -g=0.15; -tC=0.5; -pV=1.9; -cV=1; -D0=10^3; -bD=10^-2; -dD=2.9; -kD=0.5; -tD=10; -dDm=0.5; -dc=1.5*10^-3; -Tc0=1*10^3; -pT1=2.7; -pT2=600; -dT1=2; -dT2=1; -s1=1.1; -p1=2; -d1=0.1; -m=0.25; -s2=0.1; -p2=0.01; -ro=0.5; - -// Initial Conditions -E = E0; -V = 10; -Th1=100; -Th2=100; -''' - - -class TarunsModelSteppable(SteppableBasePy): - def __init__(self, frequency=1): - SteppableBasePy.__init__(self, frequency) - - def start(self): - # Uptading max simulation steps using scaling factor to simulate 10 days - self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) - self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs - self.initial_uninfected = len(self.cell_list_by_type(self.E)) - self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs - self.scalar_virus = self.sbml.FullModel['V'] - - def infection_transition(self): - ## Transition from E to Ev - # J3: E -> Ev; bE*V*E; - if virus_infection_feedback == 1: - bE = self.sbml.FullModel['bE'] * days_to_mcs - V = self.sbml.FullModel['V'] - if virus_infection_feedback == 2: - bE = self.sbml.FullModel['bE'] * days_to_mcs - V = self.scalar_virus - if virus_infection_feedback == 3: - bE = self.sbml.FullModel['bE'] * days_to_mcs * self.initial_uninfected - V = secretor.amountSeenByCell(cell) - p_E2Ev = bE * V - return p_E2Ev - - def recovery_transition(self): - # transition from Ev to E - # J4: Ev -> E; aE*Ev; - if recovery_feedback == 1: - aE = self.sbml.FullModel['aE'] * days_to_mcs - Ev = self.sbml.FullModel['Ev'] - elif recovery_feedback == 2: - aE = self.sbml.FullModel['aE'] * days_to_mcs - Ev = len(self.cell_list_by_type(self.EV)) - elif recovery_feedback == 1: - # aE = self.sbml.FullModel['aE'] * days_to_mcs - # aE = ? - Ev = 1 - p_Ev_2_E = aE * Ev - - return p_Ev_2_E - - def step(self, mcs): - secretor = self.get_field_secretor("Virus") - for cell in self.cell_list_by_type(self.E): - p_EtoEv = self.infection_transition() # bE * V - if p_EtoEv > np.random.random(): - cell.type = self.EV - - virus_production = 0.0 - for cell in self.cell_list_by_type(self.EV): - ## Virus Production - # J7: -> V; pV*Ev; - pV = self.sbml.FullModel['pV'] * days_to_mcs / self.initial_uninfected * self.sbml.FullModel['E0'] - release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) - virus_production += abs(release.tot_amount) - - ## recovery - # J4: Ev -> E; aE*Ev; - - ## Virus Decay - # J8: V ->; cV*V; - cV = self.sbml.FullModel['cV'] * days_to_mcs - virus_decay = cV * self.scalar_virus - self.scalar_virus += virus_production - virus_decay - self.shared_steppable_vars['scalar_virus'] = self.scalar_virus - - ## Step SBML forward - self.timestep_sbml() - - -class PlotsSteppable(SteppableBasePy): - def __init__(self, frequency=1): - SteppableBasePy.__init__(self, frequency) - - def start(self): - self.initial_uninfected = len(self.cell_list_by_type(self.E)) - - self.plot_win = self.add_new_plot_window(title='Fraction of Cells', - x_axis_title='MonteCarlo Step (MCS)', - y_axis_title='Fraction of Uninfected Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) - self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) - - self.plot_win2 = self.add_new_plot_window(title='Virus', - x_axis_title='MonteCarlo Step (MCS)', - y_axis_title='Virus', x_scale_type='linear', y_scale_type='log', - grid=False) - - self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) - self.plot_win2.add_plot("CC3DVS", style='Lines', color='red', size=5) - self.plot_win2.add_plot("CC3DVF", style='Lines', color='orange', size=5) - - def step(self, mcs): - self.scalar_virus = self.shared_steppable_vars['scalar_virus'] - - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) - - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, - len(self.cell_list_by_type(self.E)) / self.initial_uninfected) - self.field_virus = 0.0 - secretor = self.get_field_secretor("Virus") - self.field_virus = 0.0 - for cell in self.cell_list: - self.field_virus += secretor.amountSeenByCell(cell) - self.plot_win2.add_data_point("CC3DVS", mcs * days_to_mcs, self.scalar_virus) - self.plot_win2.add_data_point("CC3DVF", mcs * days_to_mcs, self.field_virus) From dade447cde18a7720e41bfa128cb5161902438cf Mon Sep 17 00:00:00 2001 From: Juliano Date: Wed, 24 Jun 2020 13:42:25 -0400 Subject: [PATCH 015/115] D2E, E2D, E2Ev now functions --- .../Simulation/TarunsModelSteppables.py | 91 +++++++++++-------- 1 file changed, 51 insertions(+), 40 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 9599003f..338ba242 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -1,4 +1,3 @@ - from cc3d.core.PySteppables import * import numpy as np @@ -71,9 +70,10 @@ Th2=100; ''' + class TarunsModelSteppable(SteppableBasePy): - def __init__(self,frequency=1): - SteppableBasePy.__init__(self,frequency) + def __init__(self, frequency=1): + SteppableBasePy.__init__(self, frequency) def start(self): # Uptading max simulation steps using scaling factor to simulate 10 days @@ -83,38 +83,45 @@ def start(self): self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] - def step(self,mcs): + def healing_transition(self, cell): + ## Transition from D to E + # J1: D -> E; dE*D; + + if self.sbml.FullModel['dE'] * days_to_mcs > np.random.random(): + cell.type = self.E + + def E_2_D_transition(self, cell): + ## Transition from E to D + # J2: E -> D; dE * E; + + if self.sbml.FullModel['dE'] * days_to_mcs > np.random.random(): + cell.type = self.D + + def E_2_Ev_trasition(self, cell): + ## Transition from E to Ev + # J3: E -> Ev; bE*V*E; + if virus_infection_feedback == 1: + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = self.sbml.FullModel['V'] + if virus_infection_feedback == 2: + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = self.scalar_virus + if virus_infection_feedback == 3: + bE = self.sbml.FullModel['bE'] * days_to_mcs * self.initial_uninfected + V = secretor.amountSeenByCell(cell) + p_EtoEv = bE * V + if p_EtoEv > np.random.random(): + cell.type = self.EV + + def step(self, mcs): secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.D): - ## Transition from D to E - # J1: D -> E; dE*D; - dE = self.sbml.FullModel['dE'] * days_to_mcs - p_DtoE = dE - if p_DtoE > np.random.random(): - cell.type = self.E + self.healing_transition(cell) for cell in self.cell_list_by_type(self.E): - ## Transition from E to D - # J2: E -> D; dE * E; - dE = self.sbml.FullModel['dE'] * days_to_mcs - p_EtoD = dE - if p_EtoD > np.random.random(): - cell.type = self.D - - ## Transition from E to Ev - # J3: E -> Ev; bE*V*E; - if virus_infection_feedback == 1: - bE = self.sbml.FullModel['bE'] * days_to_mcs - V = self.sbml.FullModel['V'] - if virus_infection_feedback == 2: - bE = self.sbml.FullModel['bE'] * days_to_mcs - V = self.scalar_virus - if virus_infection_feedback == 3: - bE = self.sbml.FullModel['bE'] * days_to_mcs * self.initial_uninfected - V = secretor.amountSeenByCell(cell) - p_EtoEv = bE * V - if p_EtoEv > np.random.random(): - cell.type = self.EV + self.E_2_D_transition(cell) + if cell.type != self.D: # in case the cell just died + self.E_2_Ev_trasition(cell) virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): @@ -157,9 +164,10 @@ def step(self,mcs): ## Step SBML forward self.timestep_sbml() + class PlotsSteppable(SteppableBasePy): - def __init__(self,frequency=1): - SteppableBasePy.__init__(self,frequency) + def __init__(self, frequency=1): + SteppableBasePy.__init__(self, frequency) def start(self): self.initial_uninfected = len(self.cell_list_by_type(self.E)) @@ -187,7 +195,8 @@ def start(self): self.plot_win3 = self.add_new_plot_window(title='Tcells', x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', y_scale_type='linear', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', grid=False) self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) @@ -200,14 +209,16 @@ def step(self, mcs): self.field_virus += secretor.amountSeenByCell(cell) self.scalar_virus = self.shared_steppable_vars['scalar_virus'] - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs,self.sbml.FullModel['E']/self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) - self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, len(self.cell_list_by_type(self.EV))/self.initial_uninfected) - self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) + self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, + len(self.cell_list_by_type(self.E)) / self.initial_uninfected) + self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, + len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) + self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, + len(self.cell_list_by_type(self.D)) / self.initial_uninfected) self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) - From 606ffc6824e73b15de89ecc435accaada7228af8 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 24 Jun 2020 15:26:57 -0400 Subject: [PATCH 016/115] Tracking Tcells, went back to two dimensions --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 9599003f..57108180 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -204,7 +204,7 @@ def step(self, mcs): self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) - self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0']) + self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, len(self.cell_list_by_type(self.EV))/self.initial_uninfected) From 93b0ab87161a87003e92803958284663cba43ebf Mon Sep 17 00:00:00 2001 From: Juliano Date: Wed, 24 Jun 2020 15:36:26 -0400 Subject: [PATCH 017/115] finished putting stuff into funtions --- .../Simulation/TarunsModelSteppables.py | 54 +++++++++++-------- 1 file changed, 32 insertions(+), 22 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 338ba242..3e9a0517 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -113,6 +113,30 @@ def E_2_Ev_trasition(self, cell): if p_EtoEv > np.random.random(): cell.type = self.EV + def Ev_2_E_trasition(self, cell): + ## Transition from Ev to E + # J4: Ev -> E; aE*Ev; + if self.sbml.FullModel['aE'] * days_to_mcs > np.random.random(): + cell.type = self.E + + def Ev_2_D_viral_transition(self, cell): + ## Transition from Ev to D + # J5: Ev -> D; dE*Ev; + dE = self.sbml.FullModel['dE'] * days_to_mcs + p_EvtoD = dE + if p_EvtoD > np.random.random(): + cell.type = self.D + + def Ev_2_D_immune_transition(self, cell): + ## Transition from Ev to D + # J6: Ev -> D; kE * g * Ev * Tc; + kE = self.sbml.FullModel['kE'] * days_to_mcs + g = self.sbml.FullModel['g'] + Tc = self.sbml.FullModel['Tc'] + p_EvtoD = kE * g * Tc + if p_EvtoD > np.random.random(): + cell.type = self.D + def step(self, mcs): secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.D): @@ -125,28 +149,14 @@ def step(self, mcs): virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): - ## Transition from Ev to E - # J4: Ev -> E; aE*Ev; - aE = self.sbml.FullModel['aE'] * days_to_mcs - p_EvtoE = aE - if p_EvtoE > np.random.random(): - cell.type = self.E - - ## Transition from Ev to D - # J5: Ev -> D; dE*Ev; - dE = self.sbml.FullModel['dE'] * days_to_mcs - p_EvtoD = dE - if p_EvtoD > np.random.random(): - cell.type = self.D - - ## Transition from Ev to D - # J6: Ev -> D; kE * g * Ev * Tc; - kE = self.sbml.FullModel['kE'] * days_to_mcs - g = self.sbml.FullModel['g'] - Tc = self.sbml.FullModel['Tc'] - p_EvtoD = kE * g * Tc - if p_EvtoD > np.random.random(): - cell.type = self.D + + self.Ev_2_E_trasition(cell) + + if cell.type != self.E: # in case recovery just happened + self.Ev_2_D_viral_transition(cell) + + if cell.type != self.D and cell.type != self.E: # in case it's died or recovered + self.Ev_2_D_immune_transition(cell) ## Virus Production # J7: -> V; pV*Ev; From d4dd98cadcbc47efef4d165ce407a6391038c575 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 24 Jun 2020 17:18:16 -0400 Subject: [PATCH 018/115] Included APCs --- TarunsModel/Simulation/TarunsModel.xml | 10 ++-- .../Simulation/TarunsModelSteppables.py | 54 ++++++++++++++++++- 2 files changed, 57 insertions(+), 7 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index bf843fda..9d76d718 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -26,11 +26,11 @@ - - - - - + + + + + diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 57108180..d726e110 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -1,4 +1,3 @@ - from cc3d.core.PySteppables import * import numpy as np @@ -6,7 +5,7 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 15.0 -virus_infection_feedback = 1 +virus_infection_feedback = 3 model_string = ''' // Equations @@ -83,6 +82,18 @@ def start(self): self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] + numberAPC = 0 + while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): + x = np.random.randint(10,self.dim.x-10) + y = np.random.randint(10,self.dim.y-10) + if not self.cell_field[x, y, 0]: + cell = self.new_cell(self.APC) + self.cell_field[x:x+3,y:y+3,0] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cell.dict['Activation_State'] = False + numberAPC += 1 + def step(self,mcs): secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.D): @@ -154,6 +165,27 @@ def step(self,mcs): self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus + for cell in self.cell_list_by_type(self.APC): + if not cell.dict['Activation_State']: + ## Infection and Activation of APC + # J9: -> APC; bD*V*D0; + bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected + # V should be local instead of the total virus + # V = secretor.amountSeenByCell(cell) * self.initial_uninfected + V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected + p_DtoAPC = bD * V + print(p_DtoAPC) + if p_DtoAPC > np.random.random(): + cell.dict['Activation_State'] = True + + if cell.dict['Activation_State']: + ## Clearence of APC + # J10: Da ->; dD*Da; + dD = self.sbml.FullModel['dD'] * days_to_mcs + p_APCtoD = dD + if p_APCtoD > np.random.random(): + cell.targetVolume = 0.0 + ## Step SBML forward self.timestep_sbml() @@ -193,6 +225,15 @@ def start(self): self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) + + self.plot_win4 = self.add_new_plot_window(title='APC', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', y_scale_type='linear', + grid=False) + + self.plot_win4.add_plot("ODEAPC", style='Dots', color='red', size=5) + self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) + def step(self, mcs): secretor = self.get_field_secretor("Virus") self.field_virus = 0.0 @@ -205,9 +246,18 @@ def step(self, mcs): self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) + self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Da'] / self.sbml.FullModel['E0'] * self.initial_uninfected) + + self.num_activeAPC = 0.0 + for cell in self.cell_list_by_type(self.APC): + if cell.dict['Activation_State']: + self.num_activeAPC += 1 + self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, len(self.cell_list_by_type(self.EV))/self.initial_uninfected) self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) + self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC) From aa6c4a5a4219b28a09138d49ef63d66511c446b0 Mon Sep 17 00:00:00 2001 From: joaponte Date: Wed, 24 Jun 2020 18:09:53 -0400 Subject: [PATCH 019/115] Included APCs --- TarunsModel/Simulation/TarunsModelSteppables.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index d726e110..2ca6b420 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -246,18 +246,16 @@ def step(self, mcs): self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) - self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, - self.sbml.FullModel['Da'] / self.sbml.FullModel['E0'] * self.initial_uninfected) + self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs,self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) self.num_activeAPC = 0.0 for cell in self.cell_list_by_type(self.APC): if cell.dict['Activation_State']: self.num_activeAPC += 1 - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E))/self.initial_uninfected) self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, len(self.cell_list_by_type(self.EV))/self.initial_uninfected) self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) - self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC) + self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC/ self.initial_uninfected) From 846ecbfa4fdfb977f0399d818995e16d22171722 Mon Sep 17 00:00:00 2001 From: joaponte Date: Thu, 25 Jun 2020 11:40:11 -0400 Subject: [PATCH 020/115] Refactored functions --- .../Simulation/TarunsModelSteppables.py | 36 ++++++++----------- 1 file changed, 14 insertions(+), 22 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 9d1e41ff..068b4cf6 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -96,23 +96,19 @@ def start(self): cell.dict['Activation_State'] = False numberAPC += 1 - - - def healing_transition(self, cell): + def J1_DtoE(self, cell): ## Transition from D to E # J1: D -> E; dE*D; - if self.sbml.FullModel['dE'] * days_to_mcs > np.random.random(): cell.type = self.E - def E_2_D_transition(self, cell): + def J2_EtoD(self, cell): ## Transition from E to D # J2: E -> D; dE * E; - if self.sbml.FullModel['dE'] * days_to_mcs > np.random.random(): cell.type = self.D - def E_2_Ev_trasition(self, cell): + def J3_EtoEv(self, cell): ## Transition from E to Ev # J3: E -> Ev; bE*V*E; if virus_infection_feedback == 1: @@ -128,13 +124,13 @@ def E_2_Ev_trasition(self, cell): if p_EtoEv > np.random.random(): cell.type = self.EV - def Ev_2_E_trasition(self, cell): + def J4_EvtoE(self, cell): ## Transition from Ev to E # J4: Ev -> E; aE*Ev; if self.sbml.FullModel['aE'] * days_to_mcs > np.random.random(): cell.type = self.E - def Ev_2_D_viral_transition(self, cell): + def J5_EvtoD(self, cell): ## Transition from Ev to D # J5: Ev -> D; dE*Ev; dE = self.sbml.FullModel['dE'] * days_to_mcs @@ -142,7 +138,7 @@ def Ev_2_D_viral_transition(self, cell): if p_EvtoD > np.random.random(): cell.type = self.D - def Ev_2_D_immune_transition(self, cell): + def J6_EvtoD(self, cell): ## Transition from Ev to D # J6: Ev -> D; kE * g * Ev * Tc; kE = self.sbml.FullModel['kE'] * days_to_mcs @@ -153,26 +149,22 @@ def Ev_2_D_immune_transition(self, cell): cell.type = self.D def step(self, mcs): - secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.D): - self.healing_transition(cell) + self.J1_DtoE(cell) for cell in self.cell_list_by_type(self.E): - self.E_2_D_transition(cell) + self.J2_EtoD(cell) if cell.type != self.D: # in case the cell just died - self.E_2_Ev_trasition(cell) + self.J3_EtoEv(cell) virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): - - self.Ev_2_E_trasition(cell) - - if cell.type != self.E: # in case recovery just happened - self.Ev_2_D_viral_transition(cell) - - if cell.type != self.D and cell.type != self.E: # in case it's died or recovered - self.Ev_2_D_immune_transition(cell) + self.J4_EvtoE(cell) + if cell.type != self.E: + self.J5_EvtoD(cell) + if cell.type != self.D and cell.type != self.E: + self.J6_EvtoD(cell) ## Virus Production # J7: -> V; pV*Ev; From 4766056ea2fc75049408cfadd41fc780b31f3132 Mon Sep 17 00:00:00 2001 From: joaponte Date: Thu, 25 Jun 2020 11:42:25 -0400 Subject: [PATCH 021/115] Refactored functions --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 068b4cf6..7bcb987d 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -155,7 +155,7 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.E): self.J2_EtoD(cell) - if cell.type != self.D: # in case the cell just died + if cell.type != self.D: self.J3_EtoEv(cell) virus_production = 0.0 From 2ae069a780157ef88b0544dbc8317c7567de005c Mon Sep 17 00:00:00 2001 From: joaponte Date: Thu, 25 Jun 2020 13:34:37 -0400 Subject: [PATCH 022/115] Added Chemotaxis of APCs and fixed dying of APCs --- TarunsModel/Simulation/TarunsModel.py | 3 + TarunsModel/Simulation/TarunsModel.xml | 21 ++---- .../Simulation/TarunsModelSteppables.py | 69 ++++++++++++------- 3 files changed, 55 insertions(+), 38 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.py b/TarunsModel/Simulation/TarunsModel.py index fd99828c..35921467 100644 --- a/TarunsModel/Simulation/TarunsModel.py +++ b/TarunsModel/Simulation/TarunsModel.py @@ -4,6 +4,9 @@ from TarunsModelSteppables import TarunsModelSteppable CompuCellSetup.register_steppable(steppable=TarunsModelSteppable(frequency=1)) +from TarunsModelSteppables import ChemotaxisSteppable +CompuCellSetup.register_steppable(steppable=ChemotaxisSteppable(frequency=1)) + from TarunsModelSteppables import PlotsSteppable CompuCellSetup.register_steppable(steppable=PlotsSteppable(frequency=1)) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index 9d76d718..7a870990 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -26,21 +26,8 @@ - - - - - - - - - - - - - - + @@ -54,6 +41,12 @@ 1 + + + + + + diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 7bcb987d..e6523687 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -14,7 +14,7 @@ J3: E -> Ev; bE*V*E; J4: Ev -> E; aE*Ev; J5: Ev -> D; dE*Ev; -J6: Ev -> D; kE*g*Ev*Tc; +J6: Ev -> D; kE/10.0*g*Ev*Tc*10; J7: -> V; pV*Ev; J8: V ->; cV*V; J9: -> Da; bD*V*(D0-Da); @@ -108,7 +108,7 @@ def J2_EtoD(self, cell): if self.sbml.FullModel['dE'] * days_to_mcs > np.random.random(): cell.type = self.D - def J3_EtoEv(self, cell): + def J3_EtoEv(self, cell,secretor): ## Transition from E to Ev # J3: E -> Ev; bE*V*E; if virus_infection_feedback == 1: @@ -150,22 +150,27 @@ def J6_EvtoD(self, cell): def step(self, mcs): secretor = self.get_field_secretor("Virus") + for cell in self.cell_list_by_type(self.D): self.J1_DtoE(cell) for cell in self.cell_list_by_type(self.E): self.J2_EtoD(cell) - if cell.type != self.D: - self.J3_EtoEv(cell) - virus_production = 0.0 + for cell in self.cell_list_by_type(self.E): + self.J3_EtoEv(cell,secretor) + for cell in self.cell_list_by_type(self.EV): self.J4_EvtoE(cell) - if cell.type != self.E: - self.J5_EvtoD(cell) - if cell.type != self.D and cell.type != self.E: - self.J6_EvtoD(cell) + for cell in self.cell_list_by_type(self.EV): + self.J5_EvtoD(cell) + + for cell in self.cell_list_by_type(self.EV): + self.J6_EvtoD(cell) + + virus_production = 0.0 + for cell in self.cell_list_by_type(self.EV): ## Virus Production # J7: -> V; pV*Ev; pV = self.sbml.FullModel['pV'] * days_to_mcs / self.initial_uninfected * self.sbml.FullModel['E0'] @@ -182,27 +187,45 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.APC): if not cell.dict['Activation_State']: ## Infection and Activation of APC - # J9: -> APC; bD*V*D0; + # J9: -> Da; bD*V*(D0-Da); bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected # V should be local instead of the total virus - # V = secretor.amountSeenByCell(cell) * self.initial_uninfected - V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected + V = secretor.amountSeenByCell(cell) * self.initial_uninfected + # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected p_DtoAPC = bD * V - print(p_DtoAPC) if p_DtoAPC > np.random.random(): cell.dict['Activation_State'] = True - if cell.dict['Activation_State']: + elif cell.dict['Activation_State']: ## Clearence of APC - # J10: Da ->; dD*Da; + # J10: Da -> ; dD*Da; dD = self.sbml.FullModel['dD'] * days_to_mcs p_APCtoD = dD if p_APCtoD > np.random.random(): - cell.targetVolume = 0.0 + cell.dict['Activation_State'] = False ## Step SBML forward self.timestep_sbml() +class ChemotaxisSteppable(SteppableBasePy): + def __init__(self, frequency=1): + SteppableBasePy.__init__(self, frequency) + + def start(self): + for cell in self.cell_list_by_type(self.APC): + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + self.secretor = self.get_field_secretor("Virus") + + def step(self,mcs): + lambda_chemotaxis = 1000.0 + for cell in self.cell_list_by_type(self.APC): + cd = self.chemotaxisPlugin.getChemotaxisData(cell, "Virus") + cd.setLambda(0) + concentration = self.secretor.amountSeenByCell(cell) + if concentration: + cd.setLambda(lambda_chemotaxis / concentration) class PlotsSteppable(SteppableBasePy): def __init__(self, frequency=1): @@ -251,12 +274,6 @@ def start(self): self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) def step(self, mcs): - secretor = self.get_field_secretor("Virus") - self.field_virus = 0.0 - for cell in self.cell_list: - self.field_virus += secretor.amountSeenByCell(cell) - self.scalar_virus = self.shared_steppable_vars['scalar_virus'] - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) @@ -265,12 +282,16 @@ def step(self, mcs): self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs,self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) + secretor = self.get_field_secretor("Virus") + self.field_virus = 0.0 + for cell in self.cell_list: + self.field_virus += secretor.amountSeenByCell(cell) + self.num_activeAPC = 0.0 for cell in self.cell_list_by_type(self.APC): if cell.dict['Activation_State']: self.num_activeAPC += 1 - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E)) / self.initial_uninfected) self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, @@ -278,5 +299,5 @@ def step(self, mcs): self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) - self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC/ self.initial_uninfected) + self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC / self.initial_uninfected) From b3ee289ee7e1e9bd09e45c008e0ab7b4594ff052 Mon Sep 17 00:00:00 2001 From: joaponte Date: Thu, 25 Jun 2020 14:15:58 -0400 Subject: [PATCH 023/115] Changed Lambda Chemotaxis --- TarunsModel/Simulation/TarunsModelSteppables.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index e6523687..b26ac394 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -14,7 +14,7 @@ J3: E -> Ev; bE*V*E; J4: Ev -> E; aE*Ev; J5: Ev -> D; dE*Ev; -J6: Ev -> D; kE/10.0*g*Ev*Tc*10; +J6: Ev -> D; kE*g*Ev*Tc; J7: -> V; pV*Ev; J8: V ->; cV*V; J9: -> Da; bD*V*(D0-Da); @@ -83,7 +83,6 @@ def start(self): self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] - numberAPC = 0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): x = np.random.randint(10,self.dim.x-10) @@ -219,7 +218,7 @@ def start(self): self.secretor = self.get_field_secretor("Virus") def step(self,mcs): - lambda_chemotaxis = 1000.0 + lambda_chemotaxis = 250.0 for cell in self.cell_list_by_type(self.APC): cd = self.chemotaxisPlugin.getChemotaxisData(cell, "Virus") cd.setLambda(0) @@ -271,6 +270,7 @@ def start(self): grid=False) self.plot_win4.add_plot("ODEAPC", style='Dots', color='red', size=5) + self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) def step(self, mcs): @@ -299,5 +299,6 @@ def step(self, mcs): self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) + self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC / self.initial_uninfected) From 2a51f101746c3259dd6bef8b3dce2119c0e4d2c3 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 25 Jun 2020 15:17:27 -0400 Subject: [PATCH 024/115] fixed apc death due to trying to chemotax too hard --- .../Simulation/TarunsModelSteppables.py | 46 +++++++++++++------ 1 file changed, 31 insertions(+), 15 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index b26ac394..bdfb7a9d 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -3,7 +3,7 @@ min_to_mcs = 60.0 # min/mcs days_to_mcs = min_to_mcs / 1440.0 # day/mcs -days_to_simulate = 15.0 +days_to_simulate = 150.0 virus_infection_feedback = 3 @@ -85,11 +85,11 @@ def start(self): numberAPC = 0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): - x = np.random.randint(10,self.dim.x-10) - y = np.random.randint(10,self.dim.y-10) + x = np.random.randint(10, self.dim.x - 10) + y = np.random.randint(10, self.dim.y - 10) if not self.cell_field[x, y, 0]: cell = self.new_cell(self.APC) - self.cell_field[x:x+3,y:y+3,0] = cell + self.cell_field[x:x + 3, y:y + 3, 0] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cell.dict['Activation_State'] = False @@ -107,7 +107,7 @@ def J2_EtoD(self, cell): if self.sbml.FullModel['dE'] * days_to_mcs > np.random.random(): cell.type = self.D - def J3_EtoEv(self, cell,secretor): + def J3_EtoEv(self, cell, secretor): ## Transition from E to Ev # J3: E -> Ev; bE*V*E; if virus_infection_feedback == 1: @@ -157,7 +157,7 @@ def step(self, mcs): self.J2_EtoD(cell) for cell in self.cell_list_by_type(self.E): - self.J3_EtoEv(cell,secretor) + self.J3_EtoEv(cell, secretor) for cell in self.cell_list_by_type(self.EV): self.J4_EvtoE(cell) @@ -187,7 +187,8 @@ def step(self, mcs): if not cell.dict['Activation_State']: ## Infection and Activation of APC # J9: -> Da; bD*V*(D0-Da); - bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected + bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel[ + 'E0'] * self.initial_uninfected # V should be local instead of the total virus V = secretor.amountSeenByCell(cell) * self.initial_uninfected # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected @@ -206,6 +207,7 @@ def step(self, mcs): ## Step SBML forward self.timestep_sbml() + class ChemotaxisSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) @@ -217,14 +219,16 @@ def start(self): cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) self.secretor = self.get_field_secretor("Virus") - def step(self,mcs): + def step(self, mcs): lambda_chemotaxis = 250.0 for cell in self.cell_list_by_type(self.APC): cd = self.chemotaxisPlugin.getChemotaxisData(cell, "Virus") cd.setLambda(0) concentration = self.secretor.amountSeenByCell(cell) if concentration: - cd.setLambda(lambda_chemotaxis / concentration) + print(lambda_chemotaxis / (1 + concentration)) + cd.setLambda(lambda_chemotaxis / (1 + concentration)) + class PlotsSteppable(SteppableBasePy): def __init__(self, frequency=1): @@ -263,24 +267,34 @@ def start(self): self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) - self.plot_win4 = self.add_new_plot_window(title='APC', x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', y_scale_type='linear', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', grid=False) self.plot_win4.add_plot("ODEAPC", style='Dots', color='red', size=5) self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) + self.plot_win5 = self.add_new_plot_window(title='Raw APC population', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win5.add_plot("N_APC", style='Dots', color='red', size=5) + def step(self, mcs): self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) - self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) - self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs,self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) + self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, + self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) + self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) secretor = self.get_field_secretor("Virus") self.field_virus = 0.0 @@ -299,6 +313,8 @@ def step(self, mcs): self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) - self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) + self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, + len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC / self.initial_uninfected) + self.plot_win5.add_data_point("N_APC", mcs * days_to_mcs, len(self.cell_list_by_type(self.APC))) From c61d4aee1a28d3d8506cfb052fa66b9531505eae Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 25 Jun 2020 15:23:23 -0400 Subject: [PATCH 025/115] removed print --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index bdfb7a9d..0f691c44 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -226,7 +226,7 @@ def step(self, mcs): cd.setLambda(0) concentration = self.secretor.amountSeenByCell(cell) if concentration: - print(lambda_chemotaxis / (1 + concentration)) + # print(lambda_chemotaxis / (1 + concentration)) cd.setLambda(lambda_chemotaxis / (1 + concentration)) From 0f3df5ffdbf6a47c4ba59fa535d394a48ca4c4b7 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 25 Jun 2020 16:59:31 -0400 Subject: [PATCH 026/115] added some comments --- TarunsModel/Simulation/TarunsModelSteppables.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 0f691c44..b8f90363 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -17,9 +17,9 @@ J6: Ev -> D; kE*g*Ev*Tc; J7: -> V; pV*Ev; J8: V ->; cV*V; -J9: -> Da; bD*V*(D0-Da); +J9: -> Da; bD*V*(D0-Da); //D0 and Da are APC in lung J10: Da ->; dD*Da; -J11: -> Dm; kD*Da; +J11: -> Dm; kD*Da; // Dm are apc in lymph J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; From 1b4b2e9c24f2559cc0d8a5e96ffacb3eb6c391d0 Mon Sep 17 00:00:00 2001 From: joaponte Date: Thu, 25 Jun 2020 22:11:07 -0400 Subject: [PATCH 027/115] Added Tcell seeding, changed g to 150, turned off Tcell dying --- .../Simulation/TarunsModelSteppables.py | 53 ++++++++++--------- 1 file changed, 29 insertions(+), 24 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index b8f90363..9baaa339 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -3,9 +3,9 @@ min_to_mcs = 60.0 # min/mcs days_to_mcs = min_to_mcs / 1440.0 # day/mcs -days_to_simulate = 150.0 +days_to_simulate = 15.0 -virus_infection_feedback = 3 +virus_infection_feedback = 1 model_string = ''' // Equations @@ -22,9 +22,9 @@ J11: -> Dm; kD*Da; // Dm are apc in lymph J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; -J14: Tc ->; dc*Tc; -J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; -J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); +J14: Tc ->; 0.0 * dc*Tc; +J15: Dm -> Tc; 0.0 * (pT1*Dm*Tc/(Dm+pT2) + Dm); +J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); @@ -37,8 +37,8 @@ aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2; -g=0.15; +kE=1.19*10^-2 / 150.0; +g=0.15 * 150.0; tC=0.5; pV=1.9; cV=1; @@ -187,8 +187,7 @@ def step(self, mcs): if not cell.dict['Activation_State']: ## Infection and Activation of APC # J9: -> Da; bD*V*(D0-Da); - bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel[ - 'E0'] * self.initial_uninfected + bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected # V should be local instead of the total virus V = secretor.amountSeenByCell(cell) * self.initial_uninfected # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected @@ -204,6 +203,22 @@ def step(self, mcs): if p_APCtoD > np.random.random(): cell.dict['Activation_State'] = False + ## Tcell seeding + # J13: -> Tc; dc*g*Tc0; + dc = self.sbml.FullModel['dc'] * days_to_mcs + g = self.sbml.FullModel['g'] + Tc0 = self.sbml.FullModel['Tc0'] / self.sbml.FullModel['E0'] * self.initial_uninfected + cell = False + if dc * g * Tc0 > np.random.random(): + while not cell: + x = np.random.randint(10, self.dim.x - 10) + y = np.random.randint(10, self.dim.y - 10) + if not self.cell_field[x, y, 0]: + cell = self.new_cell(self.TCELL) + self.cell_field[x:x + 3, y:y + 3, 0] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + ## Step SBML forward self.timestep_sbml() @@ -235,6 +250,7 @@ def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) def start(self): + self.seed = 0 self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.plot_win = self.add_new_plot_window(title='Epithelial Cells', @@ -277,24 +293,14 @@ def start(self): self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) - self.plot_win5 = self.add_new_plot_window(title='Raw APC population', - x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win5.add_plot("N_APC", style='Dots', color='red', size=5) - def step(self, mcs): self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) - self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, - self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) - self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, - self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) + self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['g'] * self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) + self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs,self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) secretor = self.get_field_secretor("Virus") self.field_virus = 0.0 @@ -316,5 +322,4 @@ def step(self, mcs): self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC / self.initial_uninfected) - - self.plot_win5.add_data_point("N_APC", mcs * days_to_mcs, len(self.cell_list_by_type(self.APC))) + self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs,len(self.cell_list_by_type(self.TCELL))) From 884758c2a57387c3fa0ca3fee653d42863f69d61 Mon Sep 17 00:00:00 2001 From: joaponte Date: Thu, 25 Jun 2020 23:47:19 -0400 Subject: [PATCH 028/115] Added Tcell dying (J14) --- .../Simulation/TarunsModelSteppables.py | 27 +++++++++++++------ 1 file changed, 19 insertions(+), 8 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 9baaa339..032c9816 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -22,7 +22,7 @@ J11: -> Dm; kD*Da; // Dm are apc in lymph J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; -J14: Tc ->; 0.0 * dc*Tc; +J14: Tc ->; dc*Tc; J15: Dm -> Tc; 0.0 * (pT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; @@ -137,25 +137,23 @@ def J5_EvtoD(self, cell): if p_EvtoD > np.random.random(): cell.type = self.D - def J6_EvtoD(self, cell): + def J6_EvtoD(self, cell, Tc): ## Transition from Ev to D # J6: Ev -> D; kE * g * Ev * Tc; kE = self.sbml.FullModel['kE'] * days_to_mcs g = self.sbml.FullModel['g'] - Tc = self.sbml.FullModel['Tc'] p_EvtoD = kE * g * Tc if p_EvtoD > np.random.random(): cell.type = self.D def step(self, mcs): - secretor = self.get_field_secretor("Virus") - for cell in self.cell_list_by_type(self.D): self.J1_DtoE(cell) for cell in self.cell_list_by_type(self.E): self.J2_EtoD(cell) + secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.E): self.J3_EtoEv(cell, secretor) @@ -165,8 +163,11 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.EV): self.J5_EvtoD(cell) + # TODO: this rescaling needs to be revised. Is matching close enough + # Tc = len(self.cell_list_by_type(self.TCELL)) + Tc = self.sbml.FullModel['Tc'] for cell in self.cell_list_by_type(self.EV): - self.J6_EvtoD(cell) + self.J6_EvtoD(cell,Tc) virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): @@ -218,6 +219,16 @@ def step(self, mcs): self.cell_field[x:x + 3, y:y + 3, 0] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + + ## Clearance of Tcells + # J14: Tc ->; dc*Tc; + for cell in self.cell_list_by_type(self.TCELL): + dc = self.sbml.FullModel['dc'] * days_to_mcs + if dc > np.random.random(): + cell.targetVolume = 0.0 ## Step SBML forward self.timestep_sbml() @@ -228,7 +239,7 @@ def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) def start(self): - for cell in self.cell_list_by_type(self.APC): + for cell in self.cell_list_by_type(self.APC,self.TCELL): cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) @@ -236,7 +247,7 @@ def start(self): def step(self, mcs): lambda_chemotaxis = 250.0 - for cell in self.cell_list_by_type(self.APC): + for cell in self.cell_list_by_type(self.APC,self.TCELL): cd = self.chemotaxisPlugin.getChemotaxisData(cell, "Virus") cd.setLambda(0) concentration = self.secretor.amountSeenByCell(cell) From 000815b4a1c794fee3ef24d245101a25d340eef9 Mon Sep 17 00:00:00 2001 From: joaponte Date: Fri, 26 Jun 2020 00:41:38 -0400 Subject: [PATCH 029/115] Minor changes --- TarunsModel/Simulation/TarunsModelSteppables.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 032c9816..e0bf262c 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -252,7 +252,6 @@ def step(self, mcs): cd.setLambda(0) concentration = self.secretor.amountSeenByCell(cell) if concentration: - # print(lambda_chemotaxis / (1 + concentration)) cd.setLambda(lambda_chemotaxis / (1 + concentration)) @@ -329,8 +328,11 @@ def step(self, mcs): len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, len(self.cell_list_by_type(self.D)) / self.initial_uninfected) - self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, self.field_virus) + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, + self.field_virus) self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) - self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, self.num_activeAPC / self.initial_uninfected) - self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs,len(self.cell_list_by_type(self.TCELL))) + self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, + self.num_activeAPC / self.initial_uninfected) + self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, + len(self.cell_list_by_type(self.TCELL))) From 2f82432083aca709a6701ce2d1536b0ec2c8caf5 Mon Sep 17 00:00:00 2001 From: joaponte Date: Fri, 26 Jun 2020 01:20:20 -0400 Subject: [PATCH 030/115] Added J15a, first part of J15 is turned off. J16 is turned off. Working --- .../Simulation/TarunsModelSteppables.py | 24 ++++++++++++++++++- 1 file changed, 23 insertions(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index e0bf262c..dcbfd32c 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -23,7 +23,7 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; 0.0 * (pT1*Dm*Tc/(Dm+pT2) + Dm); +J15: Dm -> Tc; 0.0 * pT1*Dm*Tc/(Dm+pT2) + Dm; J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; @@ -230,6 +230,28 @@ def step(self, mcs): if dc > np.random.random(): cell.targetVolume = 0.0 + ## Tcell seeding + # J15a: Dm -> Tc; Dm ; + Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected + print(Dm) + if Dm > np.random.random(): + cells_to_seed = max(1,round(Dm)) + print('cells_to_seed',cells_to_seed) + for i in range(cells_to_seed): + cell = False + while not cell: + x = np.random.randint(10, self.dim.x - 10) + y = np.random.randint(10, self.dim.y - 10) + if not self.cell_field[x, y, 0]: + cell = self.new_cell(self.TCELL) + self.cell_field[x:x + 3, y:y + 3, 0] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + print('Cell') + ## Step SBML forward self.timestep_sbml() From 70e5c14d09fbd7ba3c90e029d2a232701fddb9c5 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 09:07:54 -0400 Subject: [PATCH 031/115] changed plot title --- .../Simulation/TarunsModelSteppables.py | 27 ++++++++++--------- 1 file changed, 15 insertions(+), 12 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index dcbfd32c..83405982 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -5,7 +5,7 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 15.0 -virus_infection_feedback = 1 +virus_infection_feedback = 3 model_string = ''' // Equations @@ -167,7 +167,7 @@ def step(self, mcs): # Tc = len(self.cell_list_by_type(self.TCELL)) Tc = self.sbml.FullModel['Tc'] for cell in self.cell_list_by_type(self.EV): - self.J6_EvtoD(cell,Tc) + self.J6_EvtoD(cell, Tc) virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): @@ -188,7 +188,8 @@ def step(self, mcs): if not cell.dict['Activation_State']: ## Infection and Activation of APC # J9: -> Da; bD*V*(D0-Da); - bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected + bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel[ + 'E0'] * self.initial_uninfected # V should be local instead of the total virus V = secretor.amountSeenByCell(cell) * self.initial_uninfected # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected @@ -235,8 +236,8 @@ def step(self, mcs): Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected print(Dm) if Dm > np.random.random(): - cells_to_seed = max(1,round(Dm)) - print('cells_to_seed',cells_to_seed) + cells_to_seed = max(1, round(Dm)) + print('cells_to_seed', cells_to_seed) for i in range(cells_to_seed): cell = False while not cell: @@ -261,7 +262,7 @@ def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) def start(self): - for cell in self.cell_list_by_type(self.APC,self.TCELL): + for cell in self.cell_list_by_type(self.APC, self.TCELL): cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) @@ -269,7 +270,7 @@ def start(self): def step(self, mcs): lambda_chemotaxis = 250.0 - for cell in self.cell_list_by_type(self.APC,self.TCELL): + for cell in self.cell_list_by_type(self.APC, self.TCELL): cd = self.chemotaxisPlugin.getChemotaxisData(cell, "Virus") cd.setLambda(0) concentration = self.secretor.amountSeenByCell(cell) @@ -306,7 +307,7 @@ def start(self): self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) - self.plot_win3 = self.add_new_plot_window(title='Tcells', + self.plot_win3 = self.add_new_plot_window(title='Epithelial Tcells', x_axis_title='Time (days)', y_axis_title='Number of Cells', x_scale_type='linear', y_scale_type='linear', @@ -315,7 +316,7 @@ def start(self): self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) - self.plot_win4 = self.add_new_plot_window(title='APC', + self.plot_win4 = self.add_new_plot_window(title='Epithelial APC', x_axis_title='Time (days)', y_axis_title='Number of Cells', x_scale_type='linear', y_scale_type='linear', @@ -330,9 +331,11 @@ def step(self, mcs): self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs,self.sbml.FullModel['V']) - self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['g'] * self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) - self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs,self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) + self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['g'] * + self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) + self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) secretor = self.get_field_secretor("Virus") self.field_virus = 0.0 From fbbf76143f1dbc7825d6efd7623035c57c1ab7f1 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 09:10:36 -0400 Subject: [PATCH 032/115] reformated an if statement --- TarunsModel/Simulation/TarunsModelSteppables.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 83405982..006dcf95 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -76,7 +76,7 @@ def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) def start(self): - # Uptading max simulation steps using scaling factor to simulate 10 days + # Updating max simulation steps using scaling factor to simulate 10 days self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) @@ -113,12 +113,15 @@ def J3_EtoEv(self, cell, secretor): if virus_infection_feedback == 1: bE = self.sbml.FullModel['bE'] * days_to_mcs V = self.sbml.FullModel['V'] - if virus_infection_feedback == 2: + elif virus_infection_feedback == 2: bE = self.sbml.FullModel['bE'] * days_to_mcs V = self.scalar_virus - if virus_infection_feedback == 3: + elif virus_infection_feedback == 3: bE = self.sbml.FullModel['bE'] * days_to_mcs * self.initial_uninfected V = secretor.amountSeenByCell(cell) + else: # in case of things breaking have a default + bE = self.sbml.FullModel['bE'] * days_to_mcs + V = self.sbml.FullModel['V'] p_EtoEv = bE * V if p_EtoEv > np.random.random(): cell.type = self.EV From 4ccf3fe67f58c6a7886296b9d31beb7689aa8486 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 09:58:24 -0400 Subject: [PATCH 033/115] added apc travel to/from lymph (J11,J12); not tracking well yet" --- .../Simulation/TarunsModelSteppables.py | 62 +++++++++++++++++-- 1 file changed, 57 insertions(+), 5 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 006dcf95..f741dd69 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -5,7 +5,7 @@ days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 15.0 -virus_infection_feedback = 3 +virus_infection_feedback = 1 model_string = ''' // Equations @@ -82,6 +82,7 @@ def start(self): self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] + self.shared_steppable_vars['CC3D_lymph_APC_count'] = 0 numberAPC = 0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): @@ -186,27 +187,63 @@ def step(self, mcs): virus_decay = cV * self.scalar_virus self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus - + activated_APC_count = 0 for cell in self.cell_list_by_type(self.APC): if not cell.dict['Activation_State']: ## Infection and Activation of APC # J9: -> Da; bD*V*(D0-Da); - bD = self.sbml.FullModel['bD'] * days_to_mcs * self.sbml.FullModel['D0'] / self.sbml.FullModel[ - 'E0'] * self.initial_uninfected + bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / + self.sbml.FullModel['E0']) # V should be local instead of the total virus V = secretor.amountSeenByCell(cell) * self.initial_uninfected # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected p_DtoAPC = bD * V if p_DtoAPC > np.random.random(): cell.dict['Activation_State'] = True + activated_APC_count += 1 elif cell.dict['Activation_State']: - ## Clearence of APC + ## Deactivation of APC # J10: Da -> ; dD*Da; + activated_APC_count += 1 dD = self.sbml.FullModel['dD'] * days_to_mcs p_APCtoD = dD if p_APCtoD > np.random.random(): cell.dict['Activation_State'] = False + activated_APC_count -= 1 + + for cell in self.cell_list_by_type(self.APC): + ## APC travel to lymph node + # J11: -> Dm; kD * Da; // Dm are apc in lymph + if cell.dict['Activation_State']: + kD = self.sbml.FullModel['kD'] * days_to_mcs + p_travel_2_lymph = kD + if p_travel_2_lymph > np.random.random(): + cell.targetVolume = 0.0 + self.shared_steppable_vars['CC3D_lymph_APC_count'] += 1 # to be replaced by some sort of delay + + ## APC travel from lymph node + # J12: Dm ->; dDm * Dm; + dDm = self.sbml.FullModel['dDm'] * days_to_mcs + # Dm = self.sbml.FullModel['Dm'] * self.initial_uninfected / self.sbml.FullModel['E0'] + Dm = self.shared_steppable_vars['CC3D_lymph_APC_count'] + if dDm * Dm > np.random.random(): + self.shared_steppable_vars['CC3D_lymph_APC_count'] -= 1 + # TODO: THE ACTUAL SEEDING + cell = False + while not cell: + x = np.random.randint(10, self.dim.x - 10) + y = np.random.randint(10, self.dim.y - 10) + if not self.cell_field[x, y, 0]: + cell = self.new_cell(self.APC) + self.cell_field[x:x + 3, y:y + 3, 0] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cell.dict['Activation_State'] = False + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + ## Tcell seeding # J13: -> Tc; dc*g*Tc0; @@ -329,6 +366,16 @@ def start(self): self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) + self.plot_win5 = self.add_new_plot_window(title='Lymph node APC', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win5.add_plot("ODEAPC", style='Dots', color='red', size=5) + # self.plot_win5.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) + self.plot_win5.add_plot("CC3DAPC", style='Lines', color='red', size=5) + def step(self, mcs): self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) @@ -340,6 +387,9 @@ def step(self, mcs): self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) + self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) + secretor = self.get_field_secretor("Virus") self.field_virus = 0.0 for cell in self.cell_list: @@ -364,3 +414,5 @@ def step(self, mcs): self.num_activeAPC / self.initial_uninfected) self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, len(self.cell_list_by_type(self.TCELL))) + self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, + self.shared_steppable_vars['CC3D_lymph_APC_count'] / self.initial_uninfected) From fe96e6ff4dfa31839fced0a8290b64c5753c48a5 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 10:27:10 -0400 Subject: [PATCH 034/115] removed apc travel stuff --- .../Simulation/TarunsModelSteppables.py | 61 +++++++++---------- 1 file changed, 30 insertions(+), 31 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index f741dd69..455df744 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -26,7 +26,7 @@ J15: Dm -> Tc; 0.0 * pT1*Dm*Tc/(Dm+pT2) + Dm; J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; +J18: Dm -> Th1; 0.0 *( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); @@ -212,37 +212,36 @@ def step(self, mcs): cell.dict['Activation_State'] = False activated_APC_count -= 1 - for cell in self.cell_list_by_type(self.APC): - ## APC travel to lymph node - # J11: -> Dm; kD * Da; // Dm are apc in lymph - if cell.dict['Activation_State']: - kD = self.sbml.FullModel['kD'] * days_to_mcs - p_travel_2_lymph = kD - if p_travel_2_lymph > np.random.random(): - cell.targetVolume = 0.0 - self.shared_steppable_vars['CC3D_lymph_APC_count'] += 1 # to be replaced by some sort of delay - - ## APC travel from lymph node - # J12: Dm ->; dDm * Dm; - dDm = self.sbml.FullModel['dDm'] * days_to_mcs + # for cell in self.cell_list_by_type(self.APC): + # ## APC travel to lymph node + # # J11: -> Dm; kD * Da; // Dm are apc in lymph + # if cell.dict['Activation_State']: + # kD = self.sbml.FullModel['kD'] * days_to_mcs + # p_travel_2_lymph = kD + # if p_travel_2_lymph > np.random.random(): + # cell.targetVolume = 0.0 + # self.shared_steppable_vars['CC3D_lymph_APC_count'] += 1 # to be replaced by some sort of delay + # + # ## APC travel from lymph node + # # J12: Dm ->; dDm * Dm; + # dDm = self.sbml.FullModel['dDm'] * days_to_mcs # Dm = self.sbml.FullModel['Dm'] * self.initial_uninfected / self.sbml.FullModel['E0'] - Dm = self.shared_steppable_vars['CC3D_lymph_APC_count'] - if dDm * Dm > np.random.random(): - self.shared_steppable_vars['CC3D_lymph_APC_count'] -= 1 - # TODO: THE ACTUAL SEEDING - cell = False - while not cell: - x = np.random.randint(10, self.dim.x - 10) - y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: - cell = self.new_cell(self.APC) - self.cell_field[x:x + 3, y:y + 3, 0] = cell - cell.targetVolume = cell.volume - cell.lambdaVolume = cell.volume - cell.dict['Activation_State'] = False - cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") - cd.setLambda(0) - cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + # # Dm = self.shared_steppable_vars['CC3D_lymph_APC_count'] * self.sbml.FullModel['E0'] / self.initial_uninfected + # if dDm * Dm > np.random.random(): + # self.shared_steppable_vars['CC3D_lymph_APC_count'] -= 1 + # cell = False + # while not cell: + # x = np.random.randint(10, self.dim.x - 10) + # y = np.random.randint(10, self.dim.y - 10) + # if not self.cell_field[x, y, 0]: + # cell = self.new_cell(self.APC) + # self.cell_field[x:x + 3, y:y + 3, 0] = cell + # cell.targetVolume = cell.volume + # cell.lambdaVolume = cell.volume + # cell.dict['Activation_State'] = False + # cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + # cd.setLambda(0) + # cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) ## Tcell seeding From 017d5ed3c4085fe3a61c5d56ee2a0ca135df8e53 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 10:40:24 -0400 Subject: [PATCH 035/115] added sbml for lymph only --- .../Simulation/TarunsModelSteppables.py | 75 ++++++++++++++++++- 1 file changed, 73 insertions(+), 2 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 455df744..24545e62 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -70,6 +70,62 @@ Th2=100; ''' +lymph_node_string = ''' +J11: -> Dm; kD*Da; // Dm are apc in lymph +J12: Dm ->; dDm*Dm; +J13: -> Tc; dc*Tc0; +J14: Tc ->; dc*Tc; +J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; +J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); +J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; +J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); +J20: Th1 ->; m*Th1; +J21: -> Th2; s2*Th2/(1+Th2); +J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; +J23: Th2 ->; m*Th2; + +// Parameters +aE=5.0*10^-2; +bE=2*10^-5; +dE=10^-3; +kE=1.19*10^-2 / 150.0; +g=0.15 * 150.0; +tC=0.5; +pV=1.9; +cV=1; +D0=10^3; +bD=10^-2; +dD=2.9; +kD=0.5; +tD=10; +dDm=0.5; +dc=1.5*10^-3; +pT1=2.7; +pT2=600; +dT1=2; +dT2=1; +s1=1.1; +p1=2; +d1=0.1; +m=0.25; +s2=0.1; +p2=0.01; +ro=0.5; +// Initial Conditions +Tc0 = 1*10^3; +Th1=100; +Th2=100; +// inputs +Da=0.0; +Ev = 0.0; + +// outputs + +// Tc + +''' + class TarunsModelSteppable(SteppableBasePy): def __init__(self, frequency=1): @@ -78,6 +134,7 @@ def __init__(self, frequency=1): def start(self): # Updating max simulation steps using scaling factor to simulate 10 days self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) + self.add_free_floating_antimony(model_string=lymph_node_string, model_name='LymphModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs @@ -188,6 +245,15 @@ def step(self, mcs): self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus activated_APC_count = 0 + + # bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / + # self.sbml.FullModel['E0']) + # D0 = self.sbml.FullModel['D0'] * self.initial_uninfected / self.sbml.FullModel['E0'] + # + # p_seed_apc = bD * self.scalar_virus * (D0 - len(self.cell_list_by_type(self.APC))) + + + for cell in self.cell_list_by_type(self.APC): if not cell.dict['Activation_State']: ## Infection and Activation of APC @@ -212,9 +278,14 @@ def step(self, mcs): cell.dict['Activation_State'] = False activated_APC_count -= 1 + ## APC "travel" to lymph node + # J11: -> Dm; kD * Da; // Dm are apc in lymph + + # self.sbml.FullModel['Dm'] = SCALE * + # for cell in self.cell_list_by_type(self.APC): - # ## APC travel to lymph node - # # J11: -> Dm; kD * Da; // Dm are apc in lymph + ## APC travel to lymph node + # J11: -> Dm; kD * Da; // Dm are apc in lymph # if cell.dict['Activation_State']: # kD = self.sbml.FullModel['kD'] * days_to_mcs # p_travel_2_lymph = kD From 7752040fd7a01ca3cc0c44cc176ded53a3e870a7 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 10:42:09 -0400 Subject: [PATCH 036/115] cleanup --- .../Simulation/TarunsModelSteppables.py | 45 ------------------- 1 file changed, 45 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 24545e62..943b4537 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -246,14 +246,6 @@ def step(self, mcs): self.shared_steppable_vars['scalar_virus'] = self.scalar_virus activated_APC_count = 0 - # bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / - # self.sbml.FullModel['E0']) - # D0 = self.sbml.FullModel['D0'] * self.initial_uninfected / self.sbml.FullModel['E0'] - # - # p_seed_apc = bD * self.scalar_virus * (D0 - len(self.cell_list_by_type(self.APC))) - - - for cell in self.cell_list_by_type(self.APC): if not cell.dict['Activation_State']: ## Infection and Activation of APC @@ -278,43 +270,6 @@ def step(self, mcs): cell.dict['Activation_State'] = False activated_APC_count -= 1 - ## APC "travel" to lymph node - # J11: -> Dm; kD * Da; // Dm are apc in lymph - - # self.sbml.FullModel['Dm'] = SCALE * - - # for cell in self.cell_list_by_type(self.APC): - ## APC travel to lymph node - # J11: -> Dm; kD * Da; // Dm are apc in lymph - # if cell.dict['Activation_State']: - # kD = self.sbml.FullModel['kD'] * days_to_mcs - # p_travel_2_lymph = kD - # if p_travel_2_lymph > np.random.random(): - # cell.targetVolume = 0.0 - # self.shared_steppable_vars['CC3D_lymph_APC_count'] += 1 # to be replaced by some sort of delay - # - # ## APC travel from lymph node - # # J12: Dm ->; dDm * Dm; - # dDm = self.sbml.FullModel['dDm'] * days_to_mcs - # Dm = self.sbml.FullModel['Dm'] * self.initial_uninfected / self.sbml.FullModel['E0'] - # # Dm = self.shared_steppable_vars['CC3D_lymph_APC_count'] * self.sbml.FullModel['E0'] / self.initial_uninfected - # if dDm * Dm > np.random.random(): - # self.shared_steppable_vars['CC3D_lymph_APC_count'] -= 1 - # cell = False - # while not cell: - # x = np.random.randint(10, self.dim.x - 10) - # y = np.random.randint(10, self.dim.y - 10) - # if not self.cell_field[x, y, 0]: - # cell = self.new_cell(self.APC) - # self.cell_field[x:x + 3, y:y + 3, 0] = cell - # cell.targetVolume = cell.volume - # cell.lambdaVolume = cell.volume - # cell.dict['Activation_State'] = False - # cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") - # cd.setLambda(0) - # cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) - - ## Tcell seeding # J13: -> Tc; dc*g*Tc0; dc = self.sbml.FullModel['dc'] * days_to_mcs From 4269144a6b2a9121cf7f283554a47093daf89207 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 10:43:36 -0400 Subject: [PATCH 037/115] cleanup --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 943b4537..65212122 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -26,7 +26,7 @@ J15: Dm -> Tc; 0.0 * pT1*Dm*Tc/(Dm+pT2) + Dm; J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; 0.0 *( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J18: Dm -> Th1; 0.0 * p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); From c19f51144ccc8f856072cab3169ff8c44bf1972a Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 10:44:21 -0400 Subject: [PATCH 038/115] cleanup --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 65212122..1962e458 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -26,7 +26,7 @@ J15: Dm -> Tc; 0.0 * pT1*Dm*Tc/(Dm+pT2) + Dm; J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; 0.0 * p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; +J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); From cebdfd8433342ee7d720f809bdf243516ced08ff Mon Sep 17 00:00:00 2001 From: joaponte Date: Fri, 26 Jun 2020 12:33:06 -0400 Subject: [PATCH 039/115] Implemented all of the Tcell recruitment rules. Working version. Lots of noise. --- .../Simulation/TarunsModelSteppables.py | 107 +++++++++++------- 1 file changed, 69 insertions(+), 38 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 1962e458..2220cba7 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -23,8 +23,8 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; 0.0 * pT1*Dm*Tc/(Dm+pT2) + Dm; -J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); +J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; +J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); @@ -139,9 +139,10 @@ def start(self): self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] - self.shared_steppable_vars['CC3D_lymph_APC_count'] = 0 + self.shared_steppable_vars['CC3D_lymph_APC_count'] = 0.0 + self.shared_steppable_vars['Active_APCs'] = 0.0 - numberAPC = 0 + numberAPC = 0.0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): x = np.random.randint(10, self.dim.x - 10) y = np.random.randint(10, self.dim.y - 10) @@ -202,8 +203,7 @@ def J6_EvtoD(self, cell, Tc): ## Transition from Ev to D # J6: Ev -> D; kE * g * Ev * Tc; kE = self.sbml.FullModel['kE'] * days_to_mcs - g = self.sbml.FullModel['g'] - p_EvtoD = kE * g * Tc + p_EvtoD = kE * Tc if p_EvtoD > np.random.random(): cell.type = self.D @@ -225,8 +225,9 @@ def step(self, mcs): self.J5_EvtoD(cell) # TODO: this rescaling needs to be revised. Is matching close enough + g = self.sbml.FullModel['g'] + Tc = self.sbml.FullModel['Tc'] * g # Tc = len(self.cell_list_by_type(self.TCELL)) - Tc = self.sbml.FullModel['Tc'] for cell in self.cell_list_by_type(self.EV): self.J6_EvtoD(cell, Tc) @@ -244,8 +245,8 @@ def step(self, mcs): virus_decay = cV * self.scalar_virus self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus - activated_APC_count = 0 + activated_APC_count = 0 for cell in self.cell_list_by_type(self.APC): if not cell.dict['Activation_State']: ## Infection and Activation of APC @@ -258,7 +259,7 @@ def step(self, mcs): p_DtoAPC = bD * V if p_DtoAPC > np.random.random(): cell.dict['Activation_State'] = True - activated_APC_count += 1 + self.shared_steppable_vars['Active_APCs'] += 1 elif cell.dict['Activation_State']: ## Deactivation of APC @@ -268,7 +269,7 @@ def step(self, mcs): p_APCtoD = dD if p_APCtoD > np.random.random(): cell.dict['Activation_State'] = False - activated_APC_count -= 1 + self.shared_steppable_vars['Active_APCs'] -= 1 ## Tcell seeding # J13: -> Tc; dc*g*Tc0; @@ -290,7 +291,7 @@ def step(self, mcs): cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) ## Clearance of Tcells - # J14: Tc ->; dc*Tc; + #J14: Tc ->; dc*Tc; for cell in self.cell_list_by_type(self.TCELL): dc = self.sbml.FullModel['dc'] * days_to_mcs if dc > np.random.random(): @@ -299,7 +300,6 @@ def step(self, mcs): ## Tcell seeding # J15a: Dm -> Tc; Dm ; Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected - print(Dm) if Dm > np.random.random(): cells_to_seed = max(1, round(Dm)) print('cells_to_seed', cells_to_seed) @@ -318,10 +318,44 @@ def step(self, mcs): cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) print('Cell') + ## Tcell seeding + # J15b: Dm -> Tc; pT1 * Dm * Tc / (Dm + pT2) + pT1 = self.sbml.FullModel['pT1'] * days_to_mcs + Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected + Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected + pT2 = self.sbml.FullModel['pT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected + g = self.sbml.FullModel['g'] + print(g * pT1 * Dm * Tc / (Dm + pT2)) + if g * pT1 * Dm * Tc / (Dm + pT2) > np.random.random(): + cells_to_seed = max(1, round(g * pT1 * Dm * Tc / (Dm + pT2))) + print('cells_to_seed', cells_to_seed) + for i in range(cells_to_seed): + cell = False + while not cell: + x = np.random.randint(10, self.dim.x - 10) + y = np.random.randint(10, self.dim.y - 10) + if not self.cell_field[x, y, 0]: + cell = self.new_cell(self.TCELL) + self.cell_field[x:x + 3, y:y + 3, 0] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + print('Cell') + + # ## Clearance of Tcells + # #J16: Tc ->; dT1 * Tc * Ev / (Ev + dT2); + Ev = len(self.cell_list_by_type(self.EV)) + for cell in self.cell_list_by_type(self.TCELL): + dT1 = self.sbml.FullModel['dT1'] * days_to_mcs + dT2 = self.sbml.FullModel['dT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected + if dT1 * Ev / (Ev + dT2) > np.random.random(): + cell.targetVolume = 0.0 + ## Step SBML forward self.timestep_sbml() - class ChemotaxisSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) @@ -391,40 +425,37 @@ def start(self): self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) - self.plot_win5 = self.add_new_plot_window(title='Lymph node APC', - x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win5.add_plot("ODEAPC", style='Dots', color='red', size=5) - # self.plot_win5.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) - self.plot_win5.add_plot("CC3DAPC", style='Lines', color='red', size=5) + # self.plot_win5 = self.add_new_plot_window(title='Lymph node APC', + # x_axis_title='Time (days)', + # y_axis_title='Number of Cells', x_scale_type='linear', + # y_scale_type='linear', + # grid=False) + # + # self.plot_win5.add_plot("ODEAPC", style='Dots', color='red', size=5) + # # self.plot_win5.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) + # self.plot_win5.add_plot("CC3DAPC", style='Lines', color='red', size=5) def step(self, mcs): - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) - - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) + self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, + self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, + self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODED", mcs * days_to_mcs, + self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, + self.sbml.FullModel['V']) self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['g'] * self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) - - self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, - self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) + # self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, + # self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) secretor = self.get_field_secretor("Virus") self.field_virus = 0.0 for cell in self.cell_list: self.field_virus += secretor.amountSeenByCell(cell) - self.num_activeAPC = 0.0 - for cell in self.cell_list_by_type(self.APC): - if cell.dict['Activation_State']: - self.num_activeAPC += 1 - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, len(self.cell_list_by_type(self.E)) / self.initial_uninfected) self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, @@ -436,8 +467,8 @@ def step(self, mcs): self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, - self.num_activeAPC / self.initial_uninfected) + self.shared_steppable_vars['Active_APCs'] / self.initial_uninfected) self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, len(self.cell_list_by_type(self.TCELL))) - self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, - self.shared_steppable_vars['CC3D_lymph_APC_count'] / self.initial_uninfected) + # self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, + # self.shared_steppable_vars['CC3D_lymph_APC_count'] / self.initial_uninfected) From 2bdaaaa19c8e2ac8bf44d55ddaed1651cdf24d1c Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 26 Jun 2020 17:36:18 -0400 Subject: [PATCH 040/115] redid apc transitions, now they seem to be going right to the lymph node but not decaying right there --- .../Simulation/TarunsModelSteppables.py | 132 +++++++++--------- 1 file changed, 63 insertions(+), 69 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 24545e62..6f322e7f 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -23,10 +23,10 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; 0.0 * pT1*Dm*Tc/(Dm+pT2) + Dm; -J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); +J15: Dm -> Tc; (pT1*Dm*Tc/(Dm+pT2) + Dm); +J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; 0.0 *( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J18: Dm -> Th1; (p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); @@ -75,10 +75,10 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; +J15: Dm -> Tc; (pT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); @@ -117,13 +117,15 @@ Th1=100; Th2=100; // inputs -Da=0.0; +Da=0.0; // kD*Da Ev = 0.0; +// ck1 // outputs // Tc - +// ck1 +// ck2 ''' @@ -150,7 +152,7 @@ def start(self): self.cell_field[x:x + 3, y:y + 3, 0] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume - cell.dict['Activation_State'] = False + cell.dict['Activation_State'] = 0 # in tissue numberAPC += 1 def J1_DtoE(self, cell): @@ -207,6 +209,10 @@ def J6_EvtoD(self, cell, Tc): if p_EvtoD > np.random.random(): cell.type = self.D + def lymph_model_input_Ev(self, Ev): + Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected + self.sbml.LymphModel['Ev'] = Ev + def step(self, mcs): for cell in self.cell_list_by_type(self.D): self.J1_DtoE(cell) @@ -224,6 +230,8 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.EV): self.J5_EvtoD(cell) + self.lymph_model_input_Ev(len(self.cell_list_by_type(self.EV))) + # TODO: this rescaling needs to be revised. Is matching close enough # Tc = len(self.cell_list_by_type(self.TCELL)) Tc = self.sbml.FullModel['Tc'] @@ -244,76 +252,62 @@ def step(self, mcs): virus_decay = cV * self.scalar_virus self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus - activated_APC_count = 0 - - # bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / - # self.sbml.FullModel['E0']) - # D0 = self.sbml.FullModel['D0'] * self.initial_uninfected / self.sbml.FullModel['E0'] - # - # p_seed_apc = bD * self.scalar_virus * (D0 - len(self.cell_list_by_type(self.APC))) - - + # activated_APC_count = 0 + tissue_apc = 0 + lymph_apc = 0 + node_apc = 0 + just_moved_in_to_node = 0 for cell in self.cell_list_by_type(self.APC): - if not cell.dict['Activation_State']: + # if cell.dict == 0 -> in tissue; keep logic (J9: -> Da; bD*V*(D0-Da);) but replace cell.dict[ + # 'Activation_State'] = True by cell.dict['Activation_State'] = 1, this cell is now in transit: + # tissue_apc -= 1; lymph_apc+=1 + ######################## + # add this elif elif cell.dict['Activation_State'] = 1; go from the lymph to the + # node by p_transition = 1/delay [rescaled] if p_transition > dice_roll: cell.dict['Activation_State'] = + # 2 this cell is now in the lymph; lymph_apc-=1 node_apc+=1 ## replace the elif cell.dict[ + # 'Activation_State']: elif cell.dict['Activation_State'] == 2; keep logic replace cell.dict[ + # 'Activation_State'] = False by cell.dict['Activation_State'] = 0 ## then number of apc in node is + # cell.dict['Activation_State'] == 2 * self.sbml.LymphModel['kD'] / delay + if cell.dict['Activation_State'] == 0: # in tissue ## Infection and Activation of APC # J9: -> Da; bD*V*(D0-Da); + tissue_apc += 1 bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / self.sbml.FullModel['E0']) # V should be local instead of the total virus V = secretor.amountSeenByCell(cell) * self.initial_uninfected # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected - p_DtoAPC = bD * V - if p_DtoAPC > np.random.random(): - cell.dict['Activation_State'] = True - activated_APC_count += 1 - - elif cell.dict['Activation_State']: - ## Deactivation of APC - # J10: Da -> ; dD*Da; - activated_APC_count += 1 + p_tissue_2_lymph = bD * V + if p_tissue_2_lymph > np.random.random(): + cell.dict['Activation_State'] = 1 + tissue_apc -= 1 + lymph_apc += 1 + elif cell.dict['Activation_State'] == 1: # in lymph + # transport of apc to lymph + lymph_apc += 1 + p_lymph_2_node = 1 / 5 # PLACEHOLDER + if p_lymph_2_node > np.random.random(): + cell.dict['Activation_State'] = 2 + lymph_apc -= 1 + node_apc += 1 + just_moved_in_to_node += 1 + elif cell.dict['Activation_State'] == 2: + node_apc += 1 dD = self.sbml.FullModel['dD'] * days_to_mcs - p_APCtoD = dD - if p_APCtoD > np.random.random(): - cell.dict['Activation_State'] = False - activated_APC_count -= 1 + p_lymph_2_tissue = dD + if p_lymph_2_tissue > np.random.random(): + cell.dict['Activation_State'] = 0 + node_apc -= 1 + tissue_apc += 1 ## APC "travel" to lymph node + # we'll implement it as a signal that is proportional to the activated apcs # J11: -> Dm; kD * Da; // Dm are apc in lymph - - # self.sbml.FullModel['Dm'] = SCALE * - - # for cell in self.cell_list_by_type(self.APC): - ## APC travel to lymph node - # J11: -> Dm; kD * Da; // Dm are apc in lymph - # if cell.dict['Activation_State']: - # kD = self.sbml.FullModel['kD'] * days_to_mcs - # p_travel_2_lymph = kD - # if p_travel_2_lymph > np.random.random(): - # cell.targetVolume = 0.0 - # self.shared_steppable_vars['CC3D_lymph_APC_count'] += 1 # to be replaced by some sort of delay - # - # ## APC travel from lymph node - # # J12: Dm ->; dDm * Dm; - # dDm = self.sbml.FullModel['dDm'] * days_to_mcs - # Dm = self.sbml.FullModel['Dm'] * self.initial_uninfected / self.sbml.FullModel['E0'] - # # Dm = self.shared_steppable_vars['CC3D_lymph_APC_count'] * self.sbml.FullModel['E0'] / self.initial_uninfected - # if dDm * Dm > np.random.random(): - # self.shared_steppable_vars['CC3D_lymph_APC_count'] -= 1 - # cell = False - # while not cell: - # x = np.random.randint(10, self.dim.x - 10) - # y = np.random.randint(10, self.dim.y - 10) - # if not self.cell_field[x, y, 0]: - # cell = self.new_cell(self.APC) - # self.cell_field[x:x + 3, y:y + 3, 0] = cell - # cell.targetVolume = cell.volume - # cell.lambdaVolume = cell.volume - # cell.dict['Activation_State'] = False - # cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") - # cd.setLambda(0) - # cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) - + print(node_apc) + self.sbml.LymphModel['Dm'] += (just_moved_in_to_node * self.sbml.FullModel['D0'] * self.initial_uninfected / + self.sbml.FullModel['E0']) + # self.sbml.LymphModel['Dm'] = self.sbml.FullModel['Dm'] ## Tcell seeding # J13: -> Tc; dc*g*Tc0; @@ -344,10 +338,10 @@ def step(self, mcs): ## Tcell seeding # J15a: Dm -> Tc; Dm ; Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected - print(Dm) + # print(Dm) if Dm > np.random.random(): cells_to_seed = max(1, round(Dm)) - print('cells_to_seed', cells_to_seed) + # print('cells_to_seed', cells_to_seed) for i in range(cells_to_seed): cell = False while not cell: @@ -361,7 +355,7 @@ def step(self, mcs): cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) - print('Cell') + # print('Cell') ## Step SBML forward self.timestep_sbml() @@ -485,4 +479,4 @@ def step(self, mcs): self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, len(self.cell_list_by_type(self.TCELL))) self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, - self.shared_steppable_vars['CC3D_lymph_APC_count'] / self.initial_uninfected) + self.sbml.LymphModel['Dm'] / self.sbml.FullModel['E0']) From 644a245961c567171c819416a5711d7fbe622a07 Mon Sep 17 00:00:00 2001 From: joaponte Date: Fri, 26 Jun 2020 18:32:23 -0400 Subject: [PATCH 041/115] Implemented Tcell rules 13,14,15. Still working on rule 16 --- .../Simulation/TarunsModelSteppables.py | 87 +++---------------- 1 file changed, 11 insertions(+), 76 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 2220cba7..8e2dca9a 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -17,14 +17,14 @@ J6: Ev -> D; kE*g*Ev*Tc; J7: -> V; pV*Ev; J8: V ->; cV*V; -J9: -> Da; bD*V*(D0-Da); //D0 and Da are APC in lung +J9: -> Da; bD*V*(D0-Da); J10: Da ->; dD*Da; -J11: -> Dm; kD*Da; // Dm are apc in lymph +J11: -> Dm; kD*Da; J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; -J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); +J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); @@ -37,8 +37,8 @@ aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2 / 150.0; -g=0.15 * 150.0; +kE=1.19*10^-2 / 500.0; +g=0.15 * 500.0; tC=0.5; pV=1.9; cV=1; @@ -70,63 +70,6 @@ Th2=100; ''' -lymph_node_string = ''' -J11: -> Dm; kD*Da; // Dm are apc in lymph -J12: Dm ->; dDm*Dm; -J13: -> Tc; dc*Tc0; -J14: Tc ->; dc*Tc; -J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; -J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); -J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); -J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); -J20: Th1 ->; m*Th1; -J21: -> Th2; s2*Th2/(1+Th2); -J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; -J23: Th2 ->; m*Th2; - -// Parameters -aE=5.0*10^-2; -bE=2*10^-5; -dE=10^-3; -kE=1.19*10^-2 / 150.0; -g=0.15 * 150.0; -tC=0.5; -pV=1.9; -cV=1; -D0=10^3; -bD=10^-2; -dD=2.9; -kD=0.5; -tD=10; -dDm=0.5; -dc=1.5*10^-3; -pT1=2.7; -pT2=600; -dT1=2; -dT2=1; -s1=1.1; -p1=2; -d1=0.1; -m=0.25; -s2=0.1; -p2=0.01; -ro=0.5; -// Initial Conditions -Tc0 = 1*10^3; -Th1=100; -Th2=100; -// inputs -Da=0.0; -Ev = 0.0; - -// outputs - -// Tc - -''' - - class TarunsModelSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) @@ -134,7 +77,6 @@ def __init__(self, frequency=1): def start(self): # Updating max simulation steps using scaling factor to simulate 10 days self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) - self.add_free_floating_antimony(model_string=lymph_node_string, model_name='LymphModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs @@ -277,6 +219,7 @@ def step(self, mcs): g = self.sbml.FullModel['g'] Tc0 = self.sbml.FullModel['Tc0'] / self.sbml.FullModel['E0'] * self.initial_uninfected cell = False + print(dc * g * Tc0) if dc * g * Tc0 > np.random.random(): while not cell: x = np.random.randint(10, self.dim.x - 10) @@ -291,7 +234,7 @@ def step(self, mcs): cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) ## Clearance of Tcells - #J14: Tc ->; dc*Tc; + # J14: Tc ->; dc*Tc; for cell in self.cell_list_by_type(self.TCELL): dc = self.sbml.FullModel['dc'] * days_to_mcs if dc > np.random.random(): @@ -299,9 +242,10 @@ def step(self, mcs): ## Tcell seeding # J15a: Dm -> Tc; Dm ; - Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected - if Dm > np.random.random(): - cells_to_seed = max(1, round(Dm)) + g = self.sbml.FullModel['g'] + Dm = self.sbml.FullModel['Dm'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + if Dm * g > np.random.random(): + cells_to_seed = max(1, round(Dm * g)) print('cells_to_seed', cells_to_seed) for i in range(cells_to_seed): cell = False @@ -344,15 +288,6 @@ def step(self, mcs): cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) print('Cell') - # ## Clearance of Tcells - # #J16: Tc ->; dT1 * Tc * Ev / (Ev + dT2); - Ev = len(self.cell_list_by_type(self.EV)) - for cell in self.cell_list_by_type(self.TCELL): - dT1 = self.sbml.FullModel['dT1'] * days_to_mcs - dT2 = self.sbml.FullModel['dT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected - if dT1 * Ev / (Ev + dT2) > np.random.random(): - cell.targetVolume = 0.0 - ## Step SBML forward self.timestep_sbml() From 0f9026093849c7e2647d355b3473ae82a359d969 Mon Sep 17 00:00:00 2001 From: joaponte Date: Fri, 26 Jun 2020 19:08:59 -0400 Subject: [PATCH 042/115] Implemented rule 16. Everything working. Seems to introduce lots of noise. --- TarunsModel/Simulation/TarunsModelSteppables.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 8e2dca9a..cb8bcd1f 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -24,7 +24,7 @@ J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; -J16: Tc ->; 0.0 * dT1*Tc*Ev/(Ev+dT2); +J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); @@ -168,8 +168,8 @@ def step(self, mcs): # TODO: this rescaling needs to be revised. Is matching close enough g = self.sbml.FullModel['g'] - Tc = self.sbml.FullModel['Tc'] * g - # Tc = len(self.cell_list_by_type(self.TCELL)) + # Tc = self.sbml.FullModel['Tc'] * g + Tc = len(self.cell_list_by_type(self.TCELL)) / self.initial_uninfected * self.sbml.FullModel['E0'] for cell in self.cell_list_by_type(self.EV): self.J6_EvtoD(cell, Tc) @@ -288,6 +288,15 @@ def step(self, mcs): cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) print('Cell') + ## Tcell seeding + # J16: Tc ->; dT1 * Tc * Ev/(Ev+dT2) + Ev = len(self.cell_list_by_type(self.EV)) + dT1 = self.sbml.FullModel['dT1'] * days_to_mcs + dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + for cell in self.cell_list_by_type(self.TCELL): + if dT1 * Ev/(Ev+dT2) > np.random.random(): + cell.targetVolume = 0.0 + ## Step SBML forward self.timestep_sbml() From 415e8650013d1c4637f0e93c6c48c82e947be129 Mon Sep 17 00:00:00 2001 From: joaponte Date: Sat, 27 Jun 2020 00:28:07 -0400 Subject: [PATCH 043/115] Added Contact Killing. Changed cell initialization. Added plotting options --- TarunsModel/Simulation/TarunsModel.xml | 22 +- .../Simulation/TarunsModelSteppables.py | 275 +++++++++++------- 2 files changed, 175 insertions(+), 122 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index 7a870990..3a7ab63b 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -12,7 +12,7 @@ 100000 10.0 - 1 + 3 @@ -100,14 +100,14 @@ - - - - - - 0 - 3 - E - - + + + + + + + + + + diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index cb8bcd1f..3a2cb624 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -6,6 +6,14 @@ days_to_simulate = 15.0 virus_infection_feedback = 1 +contact_cytotoxicity = False + +plot_Epithelial_cells = True +plot_Virus = False +plot_Tcells = True +plot_APC = False +plot_Dm = False +plot_Contact_Cytotoxicity = True model_string = ''' // Equations @@ -37,8 +45,8 @@ aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2 / 500.0; -g=0.15 * 500.0; +kE=1.19*10^-2 / 900.0; +g=0.15 * 900.0; tC=0.5; pV=1.9; cV=1; @@ -75,6 +83,11 @@ def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) def start(self): + for x in range(0, self.dim.x, int(3)): + for y in range(0, self.dim.y, int(3)): + cell = self.new_cell(self.E) + self.cellField[x:x + int(3), y:y + int(3), 0] = cell + # Updating max simulation steps using scaling factor to simulate 10 days self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs @@ -83,14 +96,16 @@ def start(self): self.scalar_virus = self.sbml.FullModel['V'] self.shared_steppable_vars['CC3D_lymph_APC_count'] = 0.0 self.shared_steppable_vars['Active_APCs'] = 0.0 + self.shared_steppable_vars['ODE_Killing'] = 0.0 + self.shared_steppable_vars['Contact_Killing'] = 0.0 numberAPC = 0.0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): x = np.random.randint(10, self.dim.x - 10) y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: + if not self.cell_field[x, y, 1]: cell = self.new_cell(self.APC) - self.cell_field[x:x + 3, y:y + 3, 0] = cell + self.cell_field[x:x + 3, y:y + 3, 1] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cell.dict['Activation_State'] = False @@ -147,7 +162,18 @@ def J6_EvtoD(self, cell, Tc): kE = self.sbml.FullModel['kE'] * days_to_mcs p_EvtoD = kE * Tc if p_EvtoD > np.random.random(): - cell.type = self.D + if not contact_cytotoxicity: + cell.type = self.D + self.shared_steppable_vars['ODE_Killing'] += 1 + + def contact_killing(self,cell): + for neighbor, common_surface_area in self.get_cell_neighbor_data_list(cell): + if neighbor: + if neighbor.type == self.EV: + self.shared_steppable_vars['Contact_Killing'] += 1 + if contact_cytotoxicity: + neighbor.type = self.D + def step(self, mcs): for cell in self.cell_list_by_type(self.D): @@ -166,7 +192,6 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.EV): self.J5_EvtoD(cell) - # TODO: this rescaling needs to be revised. Is matching close enough g = self.sbml.FullModel['g'] # Tc = self.sbml.FullModel['Tc'] * g Tc = len(self.cell_list_by_type(self.TCELL)) / self.initial_uninfected * self.sbml.FullModel['E0'] @@ -219,14 +244,13 @@ def step(self, mcs): g = self.sbml.FullModel['g'] Tc0 = self.sbml.FullModel['Tc0'] / self.sbml.FullModel['E0'] * self.initial_uninfected cell = False - print(dc * g * Tc0) if dc * g * Tc0 > np.random.random(): while not cell: - x = np.random.randint(10, self.dim.x - 10) - y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 0] = cell + self.cell_field[x:x + 3, y:y + 3, 1] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") @@ -246,21 +270,19 @@ def step(self, mcs): Dm = self.sbml.FullModel['Dm'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected if Dm * g > np.random.random(): cells_to_seed = max(1, round(Dm * g)) - print('cells_to_seed', cells_to_seed) for i in range(cells_to_seed): cell = False while not cell: - x = np.random.randint(10, self.dim.x - 10) - y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 0] = cell + self.cell_field[x:x + 3, y:y + 3, 1] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) - print('Cell') ## Tcell seeding # J15b: Dm -> Tc; pT1 * Dm * Tc / (Dm + pT2) @@ -269,34 +291,36 @@ def step(self, mcs): Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected pT2 = self.sbml.FullModel['pT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected g = self.sbml.FullModel['g'] - print(g * pT1 * Dm * Tc / (Dm + pT2)) if g * pT1 * Dm * Tc / (Dm + pT2) > np.random.random(): cells_to_seed = max(1, round(g * pT1 * Dm * Tc / (Dm + pT2))) - print('cells_to_seed', cells_to_seed) for i in range(cells_to_seed): cell = False while not cell: - x = np.random.randint(10, self.dim.x - 10) - y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 0] = cell + self.cell_field[x:x + 3, y:y + 3, 1] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) - print('Cell') - ## Tcell seeding + # TODO: NEEDs RESCALING + # Tcell clearance # J16: Tc ->; dT1 * Tc * Ev/(Ev+dT2) Ev = len(self.cell_list_by_type(self.EV)) - dT1 = self.sbml.FullModel['dT1'] * days_to_mcs + dT1 = self.sbml.FullModel['dT1'] * days_to_mcs * 3 dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected for cell in self.cell_list_by_type(self.TCELL): if dT1 * Ev/(Ev+dT2) > np.random.random(): cell.targetVolume = 0.0 + ## Tcell Contact Killing + for cell in self.cell_list_by_type(self.TCELL): + self.contact_killing(cell) + ## Step SBML forward self.timestep_sbml() @@ -329,90 +353,119 @@ def start(self): self.seed = 0 self.initial_uninfected = len(self.cell_list_by_type(self.E)) - self.plot_win = self.add_new_plot_window(title='Epithelial Cells', - x_axis_title='Time (days)', - y_axis_title='Fraction of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) - self.plot_win.add_plot("ODEEv", style='Dots', color='yellow', size=5) - self.plot_win.add_plot("ODED", style='Dots', color='red', size=5) - self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) - self.plot_win.add_plot("CC3DEv", style='Lines', color='yellow', size=5) - self.plot_win.add_plot("CC3DD", style='Lines', color='red', size=5) - - self.plot_win2 = self.add_new_plot_window(title='Virus', - x_axis_title='Time (days)', - y_axis_title='Virus', x_scale_type='linear', y_scale_type='log', - grid=False) - - self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) - self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) - - self.plot_win3 = self.add_new_plot_window(title='Epithelial Tcells', - x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) - self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) - - self.plot_win4 = self.add_new_plot_window(title='Epithelial APC', - x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win4.add_plot("ODEAPC", style='Dots', color='red', size=5) - self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) - self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) - - # self.plot_win5 = self.add_new_plot_window(title='Lymph node APC', - # x_axis_title='Time (days)', - # y_axis_title='Number of Cells', x_scale_type='linear', - # y_scale_type='linear', - # grid=False) - # - # self.plot_win5.add_plot("ODEAPC", style='Dots', color='red', size=5) - # # self.plot_win5.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) - # self.plot_win5.add_plot("CC3DAPC", style='Lines', color='red', size=5) + if plot_Epithelial_cells: + self.plot_win = self.add_new_plot_window(title='Epithelial Cells', + x_axis_title='Time (days)', + y_axis_title='Fraction of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) + self.plot_win.add_plot("ODEEv", style='Dots', color='yellow', size=5) + self.plot_win.add_plot("ODED", style='Dots', color='red', size=5) + self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) + self.plot_win.add_plot("CC3DEv", style='Lines', color='yellow', size=5) + self.plot_win.add_plot("CC3DD", style='Lines', color='red', size=5) + + if plot_Virus: + self.plot_win2 = self.add_new_plot_window(title='Virus', + x_axis_title='Time (days)', + y_axis_title='Virus', x_scale_type='linear', y_scale_type='log', + grid=False) + + self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) + self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) + + if plot_Tcells: + self.plot_win3 = self.add_new_plot_window(title='Epithelial Tcells', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) + self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) + + if plot_APC: + self.plot_win4 = self.add_new_plot_window(title='Epithelial APC', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win4.add_plot("ODEAPC", style='Dots', color='red', size=5) + self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) + self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) + + if plot_Dm: + self.plot_win5 = self.add_new_plot_window(title='Lymph node APC', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win5.add_plot("ODEAPC", style='Dots', color='red', size=5) + self.plot_win5.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) + self.plot_win5.add_plot("CC3DAPC", style='Lines', color='red', size=5) + + if (contact_cytotoxicity == True) and (plot_Contact_Cytotoxicity == True): + self.plot_win6 = self.add_new_plot_window(title='Contact Cytotoxicity', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win6.add_plot("ODECC", style='Dots', color='red', size=5) + self.plot_win6.add_plot("CC3DCC", style='Lines', color='red', size=5) def step(self, mcs): - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, - self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, - self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("ODED", mcs * days_to_mcs, - self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, - self.sbml.FullModel['V']) - self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['g'] * - self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) - self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, - self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) - # self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, - # self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) - - secretor = self.get_field_secretor("Virus") - self.field_virus = 0.0 - for cell in self.cell_list: - self.field_virus += secretor.amountSeenByCell(cell) - - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, - len(self.cell_list_by_type(self.E)) / self.initial_uninfected) - self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, - len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) - self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, - len(self.cell_list_by_type(self.D)) / self.initial_uninfected) - self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, - self.field_virus) - self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, - len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) - self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, - self.shared_steppable_vars['Active_APCs'] / self.initial_uninfected) - self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, - len(self.cell_list_by_type(self.TCELL))) - # self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, - # self.shared_steppable_vars['CC3D_lymph_APC_count'] / self.initial_uninfected) + if plot_Epithelial_cells: + self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, + self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, + self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODED", mcs * days_to_mcs, + self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, + len(self.cell_list_by_type(self.E)) / self.initial_uninfected) + self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, + len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) + self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, + len(self.cell_list_by_type(self.D)) / self.initial_uninfected) + if plot_Virus: + secretor = self.get_field_secretor("Virus") + self.field_virus = 0.0 + for cell in self.cell_list: + self.field_virus += secretor.amountSeenByCell(cell) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, + self.sbml.FullModel['V']) + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, + self.field_virus) + + if plot_Tcells: + self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, + len(self.cell_list_by_type(self.TCELL))) + self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, + self.sbml.FullModel['g'] *self.sbml.FullModel['Tc'] + / self.sbml.FullModel['E0'] * self.initial_uninfected) + + if plot_APC: + self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) + self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, + len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) + self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, + self.shared_steppable_vars['Active_APCs'] / self.initial_uninfected) + + if plot_Dm: + self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) + + self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) + self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, + self.shared_steppable_vars['CC3D_lymph_APC_count'] / self.initial_uninfected) + + if (contact_cytotoxicity == True) and (plot_Contact_Cytotoxicity == True): + self.plot_win6.add_data_point("ODECC", mcs * days_to_mcs, self.shared_steppable_vars['ODE_Killing']) + self.plot_win6.add_data_point("CC3DCC", mcs * days_to_mcs,self.shared_steppable_vars['Contact_Killing']) \ No newline at end of file From 81069b0ffb8abc51e42c1f29dff25072bb6e5fa4 Mon Sep 17 00:00:00 2001 From: joaponte Date: Sat, 27 Jun 2020 00:31:53 -0400 Subject: [PATCH 044/115] Added Contact Killing. Changed cell initialization. Added plotting options --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 3a2cb624..e593b151 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -6,7 +6,7 @@ days_to_simulate = 15.0 virus_infection_feedback = 1 -contact_cytotoxicity = False +contact_cytotoxicity = True plot_Epithelial_cells = True plot_Virus = False From b309a8c4ff0fa75077fc62431762238d860d9928 Mon Sep 17 00:00:00 2001 From: Juliano Date: Mon, 29 Jun 2020 15:31:26 -0400 Subject: [PATCH 045/115] dome with Dm eqs implementation on cc3d side --- .../Simulation/TarunsModelSteppables.py | 27 ++++++++++++------- 1 file changed, 18 insertions(+), 9 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 6f322e7f..b6f36d02 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -26,7 +26,7 @@ J15: Dm -> Tc; (pT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; (p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J18: Dm -> Th1; (p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); @@ -71,14 +71,14 @@ ''' lymph_node_string = ''' -J11: -> Dm; kD*Da; // Dm are apc in lymph +J11: -> Dm; 0.0*kD*Da; // MUST STAY SHUT OFF, DM IS AN INPUT Dm are apc in lymph J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; J15: Dm -> Tc; (pT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); @@ -209,11 +209,22 @@ def J6_EvtoD(self, cell, Tc): if p_EvtoD > np.random.random(): cell.type = self.D - def lymph_model_input_Ev(self, Ev): + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev + self.sbml.LymphModel['Da'] = Da + + def test_prints(self): + print('taruns\tcc3d') + print('Tc', self.sbml.FullModel['Tc'], self.sbml.LymphModel['Tc']) + print('Th1', self.sbml.FullModel['Th1'], self.sbml.LymphModel['Th1']) + print('Th2', self.sbml.FullModel['Th2'], self.sbml.LymphModel['Th2']) + # print('Da', self.sbml.FullModel['Da'], self.sbml.LymphModel['Da']) + print('Dm', self.sbml.FullModel['Dm'], self.sbml.LymphModel['Dm']) def step(self, mcs): + self.test_prints() + self.lymph_model_input_from_full(len(self.cell_list_by_type(self.EV)), self.sbml.FullModel['Da']) for cell in self.cell_list_by_type(self.D): self.J1_DtoE(cell) @@ -230,8 +241,6 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.EV): self.J5_EvtoD(cell) - self.lymph_model_input_Ev(len(self.cell_list_by_type(self.EV))) - # TODO: this rescaling needs to be revised. Is matching close enough # Tc = len(self.cell_list_by_type(self.TCELL)) Tc = self.sbml.FullModel['Tc'] @@ -286,7 +295,7 @@ def step(self, mcs): elif cell.dict['Activation_State'] == 1: # in lymph # transport of apc to lymph lymph_apc += 1 - p_lymph_2_node = 1 / 5 # PLACEHOLDER + p_lymph_2_node = 1 / 10 # PLACEHOLDER if p_lymph_2_node > np.random.random(): cell.dict['Activation_State'] = 2 lymph_apc -= 1 @@ -304,9 +313,9 @@ def step(self, mcs): ## APC "travel" to lymph node # we'll implement it as a signal that is proportional to the activated apcs # J11: -> Dm; kD * Da; // Dm are apc in lymph - print(node_apc) + # print(node_apc) self.sbml.LymphModel['Dm'] += (just_moved_in_to_node * self.sbml.FullModel['D0'] * self.initial_uninfected / - self.sbml.FullModel['E0']) + self.sbml.FullModel['E0']) # self.sbml.LymphModel['Dm'] = self.sbml.FullModel['Dm'] ## Tcell seeding From 924088c5c3b4cb4a75c44ea2dfe8e1df03b6b298 Mon Sep 17 00:00:00 2001 From: Juliano Date: Mon, 29 Jun 2020 15:49:25 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zkox&bGaz~I2UwAAtrwB8{X&GQjy8S+`lhXU6k~n%|4|`?fvX@TO-<_q~hXs$_1) z>aXt2`pkW6j??0I86^IPS^H)AFD}fV!)YA&mZ9a~4Y1HdekdV2LM1a8BN6g_IXZ0) zBS7VK>?;efvDUd8J}Z8UgnSR(?+2@r(1{P1&R#c9lH#7?$uA)c^nYRK5>hgtK>?VZ zNNIZ&t&lI7NO*SaHl@o~Bv#O6&&xJX@@C(mGosJJu8(nNsxaD6@^v1&Ch}OAn3%d0 z(hw3Au|fINdw#(aBOf z0B)fz-~j4zBU7Q@zvLp?oD!V#c|b|MF& z5V_wtI3%)Ci`@hdK4g>5nu*7fw_s;x(_A5FkC!Z)+ X%jtQn4!S?UfF&s=Ct59R5cq!pkLRlW literal 0 HcmV?d00001 From 616469fc36f77afa805525ee66c09835594f794d Mon Sep 17 00:00:00 2001 From: Juliano Date: Mon, 29 Jun 2020 16:24:38 -0400 Subject: [PATCH 047/115] merged Tcell work by Josh --- .../Simulation/TarunsModelSteppables.py | 317 +++++++++++------- 1 file changed, 201 insertions(+), 116 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index b6f36d02..764dc11b 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -6,6 +6,14 @@ days_to_simulate = 15.0 virus_infection_feedback = 1 +contact_cytotoxicity = True + +plot_Epithelial_cells = True +plot_Virus = False +plot_Tcells = True +plot_APC = False +plot_Dm = False +plot_Contact_Cytotoxicity = True model_string = ''' // Equations @@ -23,10 +31,10 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; (pT1*Dm*Tc/(Dm+pT2) + Dm); -J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); +J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; +J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; -J18: Dm -> Th1; (p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); @@ -37,8 +45,8 @@ aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2 / 150.0; -g=0.15 * 150.0; +kE=1.19*10^-2 / 900.0; +g=0.15 * 900.0; tC=0.5; pV=1.9; cV=1; @@ -134,6 +142,11 @@ def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) def start(self): + for x in range(0, self.dim.x, int(3)): + for y in range(0, self.dim.y, int(3)): + cell = self.new_cell(self.E) + self.cellField[x:x + int(3), y:y + int(3), 0] = cell + # Updating max simulation steps using scaling factor to simulate 10 days self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) self.add_free_floating_antimony(model_string=lymph_node_string, model_name='LymphModel', step_size=days_to_mcs) @@ -141,15 +154,18 @@ def start(self): self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs self.scalar_virus = self.sbml.FullModel['V'] - self.shared_steppable_vars['CC3D_lymph_APC_count'] = 0 + self.shared_steppable_vars['CC3D_lymph_APC_count'] = 0.0 + self.shared_steppable_vars['Active_APCs'] = 0.0 + self.shared_steppable_vars['ODE_Killing'] = 0.0 + self.shared_steppable_vars['Contact_Killing'] = 0.0 numberAPC = 0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): x = np.random.randint(10, self.dim.x - 10) y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: + if not self.cell_field[x, y, 1]: cell = self.new_cell(self.APC) - self.cell_field[x:x + 3, y:y + 3, 0] = cell + self.cell_field[x:x + 3, y:y + 3, 1] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cell.dict['Activation_State'] = 0 # in tissue @@ -204,15 +220,23 @@ def J6_EvtoD(self, cell, Tc): ## Transition from Ev to D # J6: Ev -> D; kE * g * Ev * Tc; kE = self.sbml.FullModel['kE'] * days_to_mcs - g = self.sbml.FullModel['g'] - p_EvtoD = kE * g * Tc + p_EvtoD = kE * Tc if p_EvtoD > np.random.random(): - cell.type = self.D + if not contact_cytotoxicity: + cell.type = self.D + self.shared_steppable_vars['ODE_Killing'] += 1 def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev self.sbml.LymphModel['Da'] = Da + def contact_killing(self,cell): + for neighbor, common_surface_area in self.get_cell_neighbor_data_list(cell): + if neighbor: + if neighbor.type == self.EV: + self.shared_steppable_vars['Contact_Killing'] += 1 + if contact_cytotoxicity: + neighbor.type = self.D def test_prints(self): print('taruns\tcc3d') @@ -241,9 +265,9 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.EV): self.J5_EvtoD(cell) - # TODO: this rescaling needs to be revised. Is matching close enough - # Tc = len(self.cell_list_by_type(self.TCELL)) - Tc = self.sbml.FullModel['Tc'] + g = self.sbml.FullModel['g'] + # Tc = self.sbml.FullModel['Tc'] * g + Tc = len(self.cell_list_by_type(self.TCELL)) / self.initial_uninfected * self.sbml.FullModel['E0'] for cell in self.cell_list_by_type(self.EV): self.J6_EvtoD(cell, Tc) @@ -267,6 +291,7 @@ def step(self, mcs): lymph_apc = 0 node_apc = 0 just_moved_in_to_node = 0 + activated_APC_count = 0 for cell in self.cell_list_by_type(self.APC): # if cell.dict == 0 -> in tissue; keep logic (J9: -> Da; bD*V*(D0-Da);) but replace cell.dict[ # 'Activation_State'] = True by cell.dict['Activation_State'] = 1, this cell is now in transit: @@ -320,17 +345,18 @@ def step(self, mcs): ## Tcell seeding # J13: -> Tc; dc*g*Tc0; + # TODO: replace FullModel with LymphModel where appropriate dc = self.sbml.FullModel['dc'] * days_to_mcs g = self.sbml.FullModel['g'] Tc0 = self.sbml.FullModel['Tc0'] / self.sbml.FullModel['E0'] * self.initial_uninfected cell = False if dc * g * Tc0 > np.random.random(): while not cell: - x = np.random.randint(10, self.dim.x - 10) - y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 0] = cell + self.cell_field[x:x + 3, y:y + 3, 1] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") @@ -346,30 +372,66 @@ def step(self, mcs): ## Tcell seeding # J15a: Dm -> Tc; Dm ; + g = self.sbml.FullModel['g'] + # TODO: replace FullModel with LymphModel where appropriate + Dm = self.sbml.FullModel['Dm'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + if Dm * g > np.random.random(): + cells_to_seed = max(1, round(Dm * g)) + for i in range(cells_to_seed): + cell = False + while not cell: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: + cell = self.new_cell(self.TCELL) + self.cell_field[x:x + 3, y:y + 3, 1] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + + ## Tcell seeding + # J15b: Dm -> Tc; pT1 * Dm * Tc / (Dm + pT2) + # TODO: replace FullModel with LymphModel where appropriate + pT1 = self.sbml.FullModel['pT1'] * days_to_mcs Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected - # print(Dm) - if Dm > np.random.random(): - cells_to_seed = max(1, round(Dm)) - # print('cells_to_seed', cells_to_seed) + Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected + pT2 = self.sbml.FullModel['pT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected + g = self.sbml.FullModel['g'] + if g * pT1 * Dm * Tc / (Dm + pT2) > np.random.random(): + cells_to_seed = max(1, round(g * pT1 * Dm * Tc / (Dm + pT2))) for i in range(cells_to_seed): cell = False while not cell: - x = np.random.randint(10, self.dim.x - 10) - y = np.random.randint(10, self.dim.y - 10) - if not self.cell_field[x, y, 0]: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 0] = cell + self.cell_field[x:x + 3, y:y + 3, 1] = cell cell.targetVolume = cell.volume cell.lambdaVolume = cell.volume cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) - # print('Cell') + + # TODO: NEEDs RESCALING + # Tcell clearance + # J16: Tc ->; dT1 * Tc * Ev/(Ev+dT2) + Ev = len(self.cell_list_by_type(self.EV)) + dT1 = self.sbml.FullModel['dT1'] * days_to_mcs * 3 + dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + for cell in self.cell_list_by_type(self.TCELL): + if dT1 * Ev/(Ev+dT2) > np.random.random(): + cell.targetVolume = 0.0 + + ## Tcell Contact Killing + for cell in self.cell_list_by_type(self.TCELL): + self.contact_killing(cell) ## Step SBML forward self.timestep_sbml() - class ChemotaxisSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) @@ -399,93 +461,116 @@ def start(self): self.seed = 0 self.initial_uninfected = len(self.cell_list_by_type(self.E)) - self.plot_win = self.add_new_plot_window(title='Epithelial Cells', - x_axis_title='Time (days)', - y_axis_title='Fraction of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) - self.plot_win.add_plot("ODEEv", style='Dots', color='yellow', size=5) - self.plot_win.add_plot("ODED", style='Dots', color='red', size=5) - self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) - self.plot_win.add_plot("CC3DEv", style='Lines', color='yellow', size=5) - self.plot_win.add_plot("CC3DD", style='Lines', color='red', size=5) - - self.plot_win2 = self.add_new_plot_window(title='Virus', - x_axis_title='Time (days)', - y_axis_title='Virus', x_scale_type='linear', y_scale_type='log', - grid=False) - - self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) - self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) - - self.plot_win3 = self.add_new_plot_window(title='Epithelial Tcells', - x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) - self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) - - self.plot_win4 = self.add_new_plot_window(title='Epithelial APC', - x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win4.add_plot("ODEAPC", style='Dots', color='red', size=5) - self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) - self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) - - self.plot_win5 = self.add_new_plot_window(title='Lymph node APC', - x_axis_title='Time (days)', - y_axis_title='Number of Cells', x_scale_type='linear', - y_scale_type='linear', - grid=False) - - self.plot_win5.add_plot("ODEAPC", style='Dots', color='red', size=5) - # self.plot_win5.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) - self.plot_win5.add_plot("CC3DAPC", style='Lines', color='red', size=5) + if plot_Epithelial_cells: + self.plot_win = self.add_new_plot_window(title='Epithelial Cells', + x_axis_title='Time (days)', + y_axis_title='Fraction of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win.add_plot("ODEE", style='Dots', color='blue', size=5) + self.plot_win.add_plot("ODEEv", style='Dots', color='yellow', size=5) + self.plot_win.add_plot("ODED", style='Dots', color='red', size=5) + self.plot_win.add_plot("CC3DE", style='Lines', color='blue', size=5) + self.plot_win.add_plot("CC3DEv", style='Lines', color='yellow', size=5) + self.plot_win.add_plot("CC3DD", style='Lines', color='red', size=5) + + if plot_Virus: + self.plot_win2 = self.add_new_plot_window(title='Virus', + x_axis_title='Time (days)', + y_axis_title='Virus', x_scale_type='linear', y_scale_type='log', + grid=False) + + self.plot_win2.add_plot("ODEV", style='Dots', color='red', size=5) + self.plot_win2.add_plot("CC3DV", style='Lines', color='red', size=5) + + if plot_Tcells: + self.plot_win3 = self.add_new_plot_window(title='Epithelial Tcells', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win3.add_plot("ODETc", style='Dots', color='red', size=5) + self.plot_win3.add_plot("CC3DTc", style='Lines', color='red', size=5) + + if plot_APC: + self.plot_win4 = self.add_new_plot_window(title='Epithelial APC', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win4.add_plot("ODEAPC", style='Dots', color='red', size=5) + self.plot_win4.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) + self.plot_win4.add_plot("CC3DAPC", style='Lines', color='red', size=5) + + if plot_Dm: + self.plot_win5 = self.add_new_plot_window(title='Lymph node APC', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win5.add_plot("ODEAPC", style='Dots', color='red', size=5) + # self.plot_win5.add_plot("CC3DAPC0", style='Lines', color='orange', size=5) + self.plot_win5.add_plot("CC3DAPC", style='Lines', color='red', size=5) + + if (contact_cytotoxicity == True) and (plot_Contact_Cytotoxicity == True): + self.plot_win6 = self.add_new_plot_window(title='Contact Cytotoxicity', + x_axis_title='Time (days)', + y_axis_title='Number of Cells', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win6.add_plot("ODECC", style='Dots', color='red', size=5) + self.plot_win6.add_plot("CC3DCC", style='Lines', color='red', size=5) def step(self, mcs): - self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) - self.plot_win.add_data_point("ODED", mcs * days_to_mcs, self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) - - self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, self.sbml.FullModel['V']) - self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, self.sbml.FullModel['g'] * - self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) - self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, - self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) - - self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, - self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) - - secretor = self.get_field_secretor("Virus") - self.field_virus = 0.0 - for cell in self.cell_list: - self.field_virus += secretor.amountSeenByCell(cell) - - self.num_activeAPC = 0.0 - for cell in self.cell_list_by_type(self.APC): - if cell.dict['Activation_State']: - self.num_activeAPC += 1 - - self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, - len(self.cell_list_by_type(self.E)) / self.initial_uninfected) - self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, - len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) - self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, - len(self.cell_list_by_type(self.D)) / self.initial_uninfected) - self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, - self.field_virus) - self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, - len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) - self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, - self.num_activeAPC / self.initial_uninfected) - self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, - len(self.cell_list_by_type(self.TCELL))) - self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, - self.sbml.LymphModel['Dm'] / self.sbml.FullModel['E0']) + if plot_Epithelial_cells: + self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, + self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODEEv", mcs * days_to_mcs, + self.sbml.FullModel['Ev'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("ODED", mcs * days_to_mcs, + self.sbml.FullModel['D'] / self.sbml.FullModel['E0']) + self.plot_win.add_data_point("CC3DE", mcs * days_to_mcs, + len(self.cell_list_by_type(self.E)) / self.initial_uninfected) + self.plot_win.add_data_point("CC3DEv", mcs * days_to_mcs, + len(self.cell_list_by_type(self.EV)) / self.initial_uninfected) + self.plot_win.add_data_point("CC3DD", mcs * days_to_mcs, + len(self.cell_list_by_type(self.D)) / self.initial_uninfected) + if plot_Virus: + secretor = self.get_field_secretor("Virus") + self.field_virus = 0.0 + for cell in self.cell_list: + self.field_virus += secretor.amountSeenByCell(cell) + self.plot_win2.add_data_point("ODEV", mcs * days_to_mcs, + self.sbml.FullModel['V']) + self.plot_win2.add_data_point("CC3DV", mcs * days_to_mcs, + self.field_virus) + + if plot_Tcells: + self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, + len(self.cell_list_by_type(self.TCELL))) + self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, + self.sbml.FullModel['g'] *self.sbml.FullModel['Tc'] + / self.sbml.FullModel['E0'] * self.initial_uninfected) + + if plot_APC: + self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) + self.plot_win4.add_data_point("CC3DAPC0", mcs * days_to_mcs, + len(self.cell_list_by_type(self.APC)) / self.initial_uninfected) + self.plot_win4.add_data_point("CC3DAPC", mcs * days_to_mcs, + self.shared_steppable_vars['Active_APCs'] / self.initial_uninfected) + + if plot_Dm: + self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, + self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) + self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, + self.sbml.LymphModel['Dm'] / self.sbml.FullModel['E0']) + + if (contact_cytotoxicity == True) and (plot_Contact_Cytotoxicity == True): + self.plot_win6.add_data_point("ODECC", mcs * days_to_mcs, self.shared_steppable_vars['ODE_Killing']) + self.plot_win6.add_data_point("CC3DCC", mcs * days_to_mcs,self.shared_steppable_vars['Contact_Killing']) \ No newline at end of file From fb9dd7df93c5a49b8799f06e7a110589607375de Mon Sep 17 00:00:00 2001 From: Juliano Date: Mon, 29 Jun 2020 16:28:37 -0400 Subject: [PATCH 048/115] changed constants to reflect full model --- TarunsModel/Simulation/TarunsModelSteppables.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 764dc11b..90f957f2 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -9,10 +9,10 @@ contact_cytotoxicity = True plot_Epithelial_cells = True -plot_Virus = False +plot_Virus = True plot_Tcells = True -plot_APC = False -plot_Dm = False +plot_APC = True +plot_Dm = True plot_Contact_Cytotoxicity = True model_string = ''' @@ -97,8 +97,8 @@ aE=5.0*10^-2; bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2 / 150.0; -g=0.15 * 150.0; +kE=1.19*10^-2 / 900.0; +g=0.15 * 900.0; tC=0.5; pV=1.9; cV=1; From 3de48ca7d4a9a47337ba7b03b21693d1c1604e19 Mon Sep 17 00:00:00 2001 From: Juliano Date: Mon, 29 Jun 2020 17:41:03 -0400 Subject: [PATCH 049/115] removed init of epi sheet --- TarunsModel/Simulation/TarunsModel.xml | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModel.xml b/TarunsModel/Simulation/TarunsModel.xml index 7a870990..d5df81de 100644 --- a/TarunsModel/Simulation/TarunsModel.xml +++ b/TarunsModel/Simulation/TarunsModel.xml @@ -12,7 +12,7 @@ 100000 10.0 - 1 + 2 @@ -100,14 +100,13 @@ - - - - - - 0 - 3 - E - - + + + + + + + + + From d093d350312eb6d5c85d57d90971bb1b5b8266eb Mon Sep 17 00:00:00 2001 From: Juliano Date: Mon, 29 Jun 2020 18:07:07 -0400 Subject: [PATCH 050/115] finished the merge --- .../Simulation/TarunsModelSteppables.py | 30 +++++++++++-------- 1 file changed, 18 insertions(+), 12 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 90f957f2..a58ad99d 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -142,6 +142,7 @@ def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) def start(self): + for x in range(0, self.dim.x, int(3)): for y in range(0, self.dim.y, int(3)): cell = self.new_cell(self.E) @@ -159,7 +160,7 @@ def start(self): self.shared_steppable_vars['ODE_Killing'] = 0.0 self.shared_steppable_vars['Contact_Killing'] = 0.0 - numberAPC = 0 + numberAPC = 0.0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): x = np.random.randint(10, self.dim.x - 10) y = np.random.randint(10, self.dim.y - 10) @@ -230,7 +231,8 @@ def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev self.sbml.LymphModel['Da'] = Da - def contact_killing(self,cell): + + def contact_killing(self, cell): for neighbor, common_surface_area in self.get_cell_neighbor_data_list(cell): if neighbor: if neighbor.type == self.EV: @@ -291,7 +293,7 @@ def step(self, mcs): lymph_apc = 0 node_apc = 0 just_moved_in_to_node = 0 - activated_APC_count = 0 + # activated_APC_count = 0 for cell in self.cell_list_by_type(self.APC): # if cell.dict == 0 -> in tissue; keep logic (J9: -> Da; bD*V*(D0-Da);) but replace cell.dict[ # 'Activation_State'] = True by cell.dict['Activation_State'] = 1, this cell is now in transit: @@ -334,13 +336,13 @@ def step(self, mcs): cell.dict['Activation_State'] = 0 node_apc -= 1 tissue_apc += 1 - + self.shared_steppable_vars['Active_APCs'] = lymph_apc + node_apc ## APC "travel" to lymph node # we'll implement it as a signal that is proportional to the activated apcs # J11: -> Dm; kD * Da; // Dm are apc in lymph # print(node_apc) - self.sbml.LymphModel['Dm'] += (just_moved_in_to_node * self.sbml.FullModel['D0'] * self.initial_uninfected / - self.sbml.FullModel['E0']) + self.sbml.LymphModel['Dm'] += max(0, (just_moved_in_to_node * self.sbml.FullModel['D0'] * + self.initial_uninfected / self.sbml.FullModel['E0'])) # self.sbml.LymphModel['Dm'] = self.sbml.FullModel['Dm'] ## Tcell seeding @@ -420,9 +422,9 @@ def step(self, mcs): # J16: Tc ->; dT1 * Tc * Ev/(Ev+dT2) Ev = len(self.cell_list_by_type(self.EV)) dT1 = self.sbml.FullModel['dT1'] * days_to_mcs * 3 - dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected for cell in self.cell_list_by_type(self.TCELL): - if dT1 * Ev/(Ev+dT2) > np.random.random(): + if dT1 * Ev / (Ev + dT2) > np.random.random(): cell.targetVolume = 0.0 ## Tcell Contact Killing @@ -432,6 +434,7 @@ def step(self, mcs): ## Step SBML forward self.timestep_sbml() + class ChemotaxisSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) @@ -554,8 +557,8 @@ def step(self, mcs): self.plot_win3.add_data_point("CC3DTc", mcs * days_to_mcs, len(self.cell_list_by_type(self.TCELL))) self.plot_win3.add_data_point("ODETc", mcs * days_to_mcs, - self.sbml.FullModel['g'] *self.sbml.FullModel['Tc'] - / self.sbml.FullModel['E0'] * self.initial_uninfected) + self.sbml.FullModel['g'] * self.sbml.FullModel['Tc'] + / self.sbml.FullModel['E0'] * self.initial_uninfected) if plot_APC: self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, @@ -568,9 +571,12 @@ def step(self, mcs): if plot_Dm: self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) + + # self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, + # self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, self.sbml.LymphModel['Dm'] / self.sbml.FullModel['E0']) - if (contact_cytotoxicity == True) and (plot_Contact_Cytotoxicity == True): + if contact_cytotoxicity and plot_Contact_Cytotoxicity: self.plot_win6.add_data_point("ODECC", mcs * days_to_mcs, self.shared_steppable_vars['ODE_Killing']) - self.plot_win6.add_data_point("CC3DCC", mcs * days_to_mcs,self.shared_steppable_vars['Contact_Killing']) \ No newline at end of file + self.plot_win6.add_data_point("CC3DCC", mcs * days_to_mcs, self.shared_steppable_vars['Contact_Killing']) From 3dcb350a578a46bf8ed8a303575981c2cc6e88f8 Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:12:46 -0400 Subject: [PATCH 051/115] org start --- .../Simulation/TarunsModelSteppables.py | 22 +++++++++++-------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 489a12b0..146b559f 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -142,14 +142,16 @@ class TarunsModelSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) - def start(self): + def seed_epithelial_sheet(self): for x in range(0, self.dim.x, int(3)): for y in range(0, self.dim.y, int(3)): cell = self.new_cell(self.E) self.cellField[x:x + int(3), y:y + int(3), 0] = cell + def init_variables(self): # Updating max simulation steps using scaling factor to simulate 10 days self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) + self.add_free_floating_antimony(model_string=lymph_node_string, model_name='LymphModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs @@ -159,6 +161,7 @@ def start(self): self.shared_steppable_vars['ODE_Killing'] = 0.0 self.shared_steppable_vars['Contact_Killing'] = 0.0 + def seed_APC_cells(self): numberAPC = 0.0 while numberAPC < round(self.sbml.FullModel['D0'] / self.sbml.FullModel['E0'] * self.initial_uninfected): x = np.random.randint(10, self.dim.x - 10) @@ -171,6 +174,13 @@ def start(self): cell.dict['Activation_State'] = 0 # in tissue numberAPC += 1 + def start(self): + self.seed_epithelial_sheet() + + self.init_variables() + + self.seed_APC_cells() + def J1_DtoE(self, cell): ## Transition from D to E # J1: D -> E; dE*D; @@ -240,7 +250,6 @@ def contact_killing(self, cell): if contact_cytotoxicity: neighbor.type = self.D - def test_prints(self): print('taruns\tcc3d') print('Tc', self.sbml.FullModel['Tc'], self.sbml.LymphModel['Tc']) @@ -249,9 +258,8 @@ def test_prints(self): # print('Da', self.sbml.FullModel['Da'], self.sbml.LymphModel['Da']) print('Dm', self.sbml.FullModel['Dm'], self.sbml.LymphModel['Dm']) - def step(self, mcs): - #self.test_prints() + # self.test_prints() self.lymph_model_input_from_full(len(self.cell_list_by_type(self.EV)), self.sbml.FullModel['Da']) for cell in self.cell_list_by_type(self.D): self.J1_DtoE(cell) @@ -350,7 +358,6 @@ def step(self, mcs): self.initial_uninfected / self.sbml.FullModel['E0'])) # self.sbml.LymphModel['Dm'] = self.sbml.FullModel['Dm'] - ## Tcell seeding # J13: -> Tc; dc*g*Tc0; # TODO: replace FullModel with LymphModel where appropriate @@ -433,7 +440,6 @@ def step(self, mcs): dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected for cell in self.cell_list_by_type(self.TCELL): if dT1 * Ev / (Ev + dT2) > np.random.random(): - cell.targetVolume = 0.0 ## Tcell Contact Killing @@ -443,6 +449,7 @@ def step(self, mcs): ## Step SBML forward self.timestep_sbml() + class ChemotaxisSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) @@ -569,7 +576,6 @@ def step(self, mcs): self.sbml.FullModel['g'] * self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected) - if plot_APC: self.plot_win4.add_data_point("ODEAPC", mcs * days_to_mcs, self.sbml.FullModel['Da'] / self.sbml.FullModel['E0']) @@ -582,7 +588,6 @@ def step(self, mcs): self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) - # self.plot_win5.add_data_point("ODEAPC", mcs * days_to_mcs, # self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0']) self.plot_win5.add_data_point("CC3DAPC", mcs * days_to_mcs, @@ -591,4 +596,3 @@ def step(self, mcs): if contact_cytotoxicity and plot_Contact_Cytotoxicity: self.plot_win6.add_data_point("ODECC", mcs * days_to_mcs, self.shared_steppable_vars['ODE_Killing']) self.plot_win6.add_data_point("CC3DCC", mcs * days_to_mcs, self.shared_steppable_vars['Contact_Killing']) - From dcf82b712189f587cae06ed21a1dbe0855c12e9b Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:17:41 -0400 Subject: [PATCH 052/115] added back a line that went missing --- TarunsModel/Simulation/TarunsModelSteppables.py | 1 + 1 file changed, 1 insertion(+) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 489a12b0..7a309195 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -150,6 +150,7 @@ def start(self): # Updating max simulation steps using scaling factor to simulate 10 days self.add_free_floating_antimony(model_string=model_string, model_name='FullModel', step_size=days_to_mcs) + self.add_free_floating_antimony(model_string=lymph_node_string, model_name='LymphModel', step_size=days_to_mcs) self.get_xml_element('simulation_steps').cdata = days_to_simulate / days_to_mcs self.initial_uninfected = len(self.cell_list_by_type(self.E)) self.get_xml_element('virus_decay').cdata = self.sbml.FullModel['cV'] * days_to_mcs From 9a369974b61115c6e141d7fc26d344039c6dfc04 Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:25:31 -0400 Subject: [PATCH 053/115] org J7 --- .../Simulation/TarunsModelSteppables.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 146b559f..08420a0d 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -236,6 +236,16 @@ def J6_EvtoD(self, cell, Tc): cell.type = self.D self.shared_steppable_vars['ODE_Killing'] += 1 + def J7_virus_production(self, secretor): + virus_production = 0.0 + for cell in self.cell_list_by_type(self.EV): + ## Virus Production + # J7: -> V; pV*Ev; + pV = self.sbml.FullModel['pV'] * days_to_mcs / self.initial_uninfected * self.sbml.FullModel['E0'] + release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) + virus_production += abs(release.tot_amount) + return virus_production + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -283,13 +293,7 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.EV): self.J6_EvtoD(cell, Tc) - virus_production = 0.0 - for cell in self.cell_list_by_type(self.EV): - ## Virus Production - # J7: -> V; pV*Ev; - pV = self.sbml.FullModel['pV'] * days_to_mcs / self.initial_uninfected * self.sbml.FullModel['E0'] - release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) - virus_production += abs(release.tot_amount) + virus_production = self.J7_virus_production(secretor) ## Virus Decay # J8: V ->; cV*V; From bbf9126df41fa7dfdf056d3ac0618af09d8444cd Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:32:06 -0400 Subject: [PATCH 054/115] org J8 --- TarunsModel/Simulation/TarunsModelSteppables.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 08420a0d..1cea9e05 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -246,6 +246,14 @@ def J7_virus_production(self, secretor): virus_production += abs(release.tot_amount) return virus_production + def J8_virus_decay(self, virus_production): + ## Virus Decay + # J8: V ->; cV*V; + cV = self.sbml.FullModel['cV'] * days_to_mcs + virus_decay = cV * self.scalar_virus + self.scalar_virus += virus_production - virus_decay + self.shared_steppable_vars['scalar_virus'] = self.scalar_virus + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -295,13 +303,7 @@ def step(self, mcs): virus_production = self.J7_virus_production(secretor) - ## Virus Decay - # J8: V ->; cV*V; - cV = self.sbml.FullModel['cV'] * days_to_mcs - virus_decay = cV * self.scalar_virus - self.scalar_virus += virus_production - virus_decay - self.shared_steppable_vars['scalar_virus'] = self.scalar_virus - + self.J8_virus_decay(virus_production) # activated_APC_count = 0 tissue_apc = 0 From 7f9f73d4ec15245ea64da2ac739153062420a6db Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:40:10 -0400 Subject: [PATCH 055/115] org J9/J10 --- .../Simulation/TarunsModelSteppables.py | 102 +++++++++--------- 1 file changed, 53 insertions(+), 49 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 1cea9e05..adead306 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -254,6 +254,58 @@ def J8_virus_decay(self, virus_production): self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus + def J9_J10_APC_activation_deactivation(self, secretor): + tissue_apc = 0 + lymph_apc = 0 + node_apc = 0 + just_moved_in_to_node = 0 + # activated_APC_count = 0 + for cell in self.cell_list_by_type(self.APC): + # if cell.dict == 0 -> in tissue; keep logic (J9: -> Da; bD*V*(D0-Da);) but replace cell.dict[ + # 'Activation_State'] = True by cell.dict['Activation_State'] = 1, this cell is now in transit: + # tissue_apc -= 1; lymph_apc+=1 + ######################## + # add this elif elif cell.dict['Activation_State'] = 1; go from the lymph to the + # node by p_transition = 1/delay [rescaled] if p_transition > dice_roll: cell.dict['Activation_State'] = + # 2 this cell is now in the lymph; lymph_apc-=1 node_apc+=1 ## replace the elif cell.dict[ + # 'Activation_State']: elif cell.dict['Activation_State'] == 2; keep logic replace cell.dict[ + # 'Activation_State'] = False by cell.dict['Activation_State'] = 0 ## then number of apc in node is + # cell.dict['Activation_State'] == 2 * self.sbml.LymphModel['kD'] / delay + if cell.dict['Activation_State'] == 0: # in tissue + ## Infection and Activation of APC + # J9: -> Da; bD*V*(D0-Da); + tissue_apc += 1 + bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / + self.sbml.FullModel['E0']) + # V should be local instead of the total virus + V = secretor.amountSeenByCell(cell) * self.initial_uninfected + # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected + + p_tissue_2_lymph = bD * V + if p_tissue_2_lymph > np.random.random(): + cell.dict['Activation_State'] = 1 + tissue_apc -= 1 + lymph_apc += 1 + elif cell.dict['Activation_State'] == 1: # in lymph + # transport of apc to lymph + lymph_apc += 1 + p_lymph_2_node = 1 / 10 # PLACEHOLDER + if p_lymph_2_node > np.random.random(): + cell.dict['Activation_State'] = 2 + lymph_apc -= 1 + node_apc += 1 + just_moved_in_to_node += 1 + elif cell.dict['Activation_State'] == 2: + node_apc += 1 + dD = self.sbml.FullModel['dD'] * days_to_mcs + p_lymph_2_tissue = dD + if p_lymph_2_tissue > np.random.random(): + cell.dict['Activation_State'] = 0 + node_apc -= 1 + tissue_apc += 1 + self.shared_steppable_vars['Active_APCs'] = lymph_apc + node_apc + return tissue_apc, lymph_apc, node_apc, just_moved_in_to_node + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -306,56 +358,8 @@ def step(self, mcs): self.J8_virus_decay(virus_production) # activated_APC_count = 0 - tissue_apc = 0 - lymph_apc = 0 - node_apc = 0 - just_moved_in_to_node = 0 - # activated_APC_count = 0 + tissue_apc, lymph_apc, node_apc, just_moved_in_to_node = self.J9_J10_APC_activation_deactivation(secretor) - for cell in self.cell_list_by_type(self.APC): - # if cell.dict == 0 -> in tissue; keep logic (J9: -> Da; bD*V*(D0-Da);) but replace cell.dict[ - # 'Activation_State'] = True by cell.dict['Activation_State'] = 1, this cell is now in transit: - # tissue_apc -= 1; lymph_apc+=1 - ######################## - # add this elif elif cell.dict['Activation_State'] = 1; go from the lymph to the - # node by p_transition = 1/delay [rescaled] if p_transition > dice_roll: cell.dict['Activation_State'] = - # 2 this cell is now in the lymph; lymph_apc-=1 node_apc+=1 ## replace the elif cell.dict[ - # 'Activation_State']: elif cell.dict['Activation_State'] == 2; keep logic replace cell.dict[ - # 'Activation_State'] = False by cell.dict['Activation_State'] = 0 ## then number of apc in node is - # cell.dict['Activation_State'] == 2 * self.sbml.LymphModel['kD'] / delay - if cell.dict['Activation_State'] == 0: # in tissue - ## Infection and Activation of APC - # J9: -> Da; bD*V*(D0-Da); - tissue_apc += 1 - bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / - self.sbml.FullModel['E0']) - # V should be local instead of the total virus - V = secretor.amountSeenByCell(cell) * self.initial_uninfected - # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected - - p_tissue_2_lymph = bD * V - if p_tissue_2_lymph > np.random.random(): - cell.dict['Activation_State'] = 1 - tissue_apc -= 1 - lymph_apc += 1 - elif cell.dict['Activation_State'] == 1: # in lymph - # transport of apc to lymph - lymph_apc += 1 - p_lymph_2_node = 1 / 10 # PLACEHOLDER - if p_lymph_2_node > np.random.random(): - cell.dict['Activation_State'] = 2 - lymph_apc -= 1 - node_apc += 1 - just_moved_in_to_node += 1 - elif cell.dict['Activation_State'] == 2: - node_apc += 1 - dD = self.sbml.FullModel['dD'] * days_to_mcs - p_lymph_2_tissue = dD - if p_lymph_2_tissue > np.random.random(): - cell.dict['Activation_State'] = 0 - node_apc -= 1 - tissue_apc += 1 - self.shared_steppable_vars['Active_APCs'] = lymph_apc + node_apc ## APC "travel" to lymph node # we'll implement it as a signal that is proportional to the activated apcs # J11: -> Dm; kD * Da; // Dm are apc in lymph From 0b2f17a1f84d05058230546ea7ee49fb39e3a230 Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:44:50 -0400 Subject: [PATCH 056/115] org J11 --- TarunsModel/Simulation/TarunsModelSteppables.py | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index adead306..ff2cad36 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -306,6 +306,14 @@ def J9_J10_APC_activation_deactivation(self, secretor): self.shared_steppable_vars['Active_APCs'] = lymph_apc + node_apc return tissue_apc, lymph_apc, node_apc, just_moved_in_to_node + def J11_APC_travel_Lymph_Model_input(self, just_moved_in_to_node): + ## APC "travel" to lymph node + # we'll implement it as a signal that is proportional to the activated apcs + # J11: -> Dm; kD * Da; // Dm are apc in lymph + # print(node_apc) + self.sbml.LymphModel['Dm'] += max(0, (just_moved_in_to_node * self.sbml.FullModel['D0'] * + self.initial_uninfected / self.sbml.FullModel['E0'])) + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -360,13 +368,7 @@ def step(self, mcs): tissue_apc, lymph_apc, node_apc, just_moved_in_to_node = self.J9_J10_APC_activation_deactivation(secretor) - ## APC "travel" to lymph node - # we'll implement it as a signal that is proportional to the activated apcs - # J11: -> Dm; kD * Da; // Dm are apc in lymph - # print(node_apc) - self.sbml.LymphModel['Dm'] += max(0, (just_moved_in_to_node * self.sbml.FullModel['D0'] * - self.initial_uninfected / self.sbml.FullModel['E0'])) - # self.sbml.LymphModel['Dm'] = self.sbml.FullModel['Dm'] + self.J11_APC_travel_Lymph_Model_input(just_moved_in_to_node) ## Tcell seeding # J13: -> Tc; dc*g*Tc0; From 66d7d6bf05e2f7ada93a00d5651e14c70161219c Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:52:08 -0400 Subject: [PATCH 057/115] org J13 --- .../Simulation/TarunsModelSteppables.py | 41 ++++++++++--------- 1 file changed, 22 insertions(+), 19 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index ff2cad36..f6530eab 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -314,6 +314,27 @@ def J11_APC_travel_Lymph_Model_input(self, just_moved_in_to_node): self.sbml.LymphModel['Dm'] += max(0, (just_moved_in_to_node * self.sbml.FullModel['D0'] * self.initial_uninfected / self.sbml.FullModel['E0'])) + def J13_Tcell_seeding(self): + ## Tcell seeding + # J13: -> Tc; dc*g*Tc0; + # TODO: replace FullModel with LymphModel where appropriate + dc = self.sbml.FullModel['dc'] * days_to_mcs + g = self.sbml.FullModel['g'] + Tc0 = self.sbml.FullModel['Tc0'] / self.sbml.FullModel['E0'] * self.initial_uninfected + cell = False + if dc * g * Tc0 > np.random.random(): + while not cell: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: + cell = self.new_cell(self.TCELL) + self.cell_field[x:x + 3, y:y + 3, 1] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -370,25 +391,7 @@ def step(self, mcs): self.J11_APC_travel_Lymph_Model_input(just_moved_in_to_node) - ## Tcell seeding - # J13: -> Tc; dc*g*Tc0; - # TODO: replace FullModel with LymphModel where appropriate - dc = self.sbml.FullModel['dc'] * days_to_mcs - g = self.sbml.FullModel['g'] - Tc0 = self.sbml.FullModel['Tc0'] / self.sbml.FullModel['E0'] * self.initial_uninfected - cell = False - if dc * g * Tc0 > np.random.random(): - while not cell: - x = np.random.randint(0, self.dim.x - 3) - y = np.random.randint(0, self.dim.y - 3) - if not self.cell_field[x, y, 1]: - cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 1] = cell - cell.targetVolume = cell.volume - cell.lambdaVolume = cell.volume - cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") - cd.setLambda(0) - cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + self.J13_Tcell_seeding() ## Clearance of Tcells # J14: Tc ->; dc*Tc; From 6a603d8354955c5cbcf1e72d148ea024b65e0921 Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:55:06 -0400 Subject: [PATCH 058/115] org J14 --- TarunsModel/Simulation/TarunsModelSteppables.py | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index f6530eab..13b80a71 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -335,6 +335,14 @@ def J13_Tcell_seeding(self): cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + def J14_Tcell_clearance(self): + ## Clearance of Tcells + # J14: Tc ->; dc*Tc; + for cell in self.cell_list_by_type(self.TCELL): + dc = self.sbml.FullModel['dc'] * days_to_mcs + if dc > np.random.random(): + cell.targetVolume = 0.0 + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -393,13 +401,8 @@ def step(self, mcs): self.J13_Tcell_seeding() - ## Clearance of Tcells - # J14: Tc ->; dc*Tc; - for cell in self.cell_list_by_type(self.TCELL): - dc = self.sbml.FullModel['dc'] * days_to_mcs - if dc > np.random.random(): - cell.targetVolume = 0.0 - + self.J14_Tcell_clearance() + ## Tcell seeding # J15a: Dm -> Tc; Dm ; g = self.sbml.FullModel['g'] From 554102f15906bd3cb91c213f66a5e30ade7b571a Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 09:59:12 -0400 Subject: [PATCH 059/115] org J15a --- .../Simulation/TarunsModelSteppables.py | 71 +++++++++++++------ 1 file changed, 48 insertions(+), 23 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 13b80a71..1b9a42e1 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -314,7 +314,7 @@ def J11_APC_travel_Lymph_Model_input(self, just_moved_in_to_node): self.sbml.LymphModel['Dm'] += max(0, (just_moved_in_to_node * self.sbml.FullModel['D0'] * self.initial_uninfected / self.sbml.FullModel['E0'])) - def J13_Tcell_seeding(self): + def J13_Tcell_stable_population_seeding(self): ## Tcell seeding # J13: -> Tc; dc*g*Tc0; # TODO: replace FullModel with LymphModel where appropriate @@ -343,6 +343,29 @@ def J14_Tcell_clearance(self): if dc > np.random.random(): cell.targetVolume = 0.0 + def J15a_Tcell_inflamatory_seeding(self): + ## Tcell seeding + # J15a: Dm -> Tc; Dm ; + g = self.sbml.FullModel['g'] + # TODO: replace FullModel with LymphModel where appropriate + + Dm = self.sbml.FullModel['Dm'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + if Dm * g > np.random.random(): + cells_to_seed = max(1, round(Dm * g)) + for i in range(cells_to_seed): + cell = False + while not cell: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: + cell = self.new_cell(self.TCELL) + self.cell_field[x:x + 3, y:y + 3, 1] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -399,31 +422,33 @@ def step(self, mcs): self.J11_APC_travel_Lymph_Model_input(just_moved_in_to_node) - self.J13_Tcell_seeding() + self.J13_Tcell_stable_population_seeding() self.J14_Tcell_clearance() - - ## Tcell seeding - # J15a: Dm -> Tc; Dm ; - g = self.sbml.FullModel['g'] - # TODO: replace FullModel with LymphModel where appropriate - Dm = self.sbml.FullModel['Dm'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected - if Dm * g > np.random.random(): - cells_to_seed = max(1, round(Dm * g)) - for i in range(cells_to_seed): - cell = False - while not cell: - x = np.random.randint(0, self.dim.x - 3) - y = np.random.randint(0, self.dim.y - 3) - if not self.cell_field[x, y, 1]: - cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 1] = cell - cell.targetVolume = cell.volume - cell.lambdaVolume = cell.volume - cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") - cd.setLambda(0) - cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + self.J15a_Tcell_inflamatory_seeding() + # + # ## Tcell seeding + # # J15a: Dm -> Tc; Dm ; + # g = self.sbml.FullModel['g'] + # # TODO: replace FullModel with LymphModel where appropriate + # + # Dm = self.sbml.FullModel['Dm'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + # if Dm * g > np.random.random(): + # cells_to_seed = max(1, round(Dm * g)) + # for i in range(cells_to_seed): + # cell = False + # while not cell: + # x = np.random.randint(0, self.dim.x - 3) + # y = np.random.randint(0, self.dim.y - 3) + # if not self.cell_field[x, y, 1]: + # cell = self.new_cell(self.TCELL) + # self.cell_field[x:x + 3, y:y + 3, 1] = cell + # cell.targetVolume = cell.volume + # cell.lambdaVolume = cell.volume + # cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + # cd.setLambda(0) + # cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) ## Tcell seeding # J15b: Dm -> Tc; pT1 * Dm * Tc / (Dm + pT2) From 17162cd01ebb5bab893942828d5d797ac37e6f77 Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 10:02:14 -0400 Subject: [PATCH 060/115] org J15b --- .../Simulation/TarunsModelSteppables.py | 73 +++++++------------ 1 file changed, 27 insertions(+), 46 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 1b9a42e1..6d36ef65 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -366,6 +366,32 @@ def J15a_Tcell_inflamatory_seeding(self): cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + def J15b_Tcell_inflamatory_seeding(self): + ## Tcell seeding + # J15b: Dm -> Tc; pT1 * Dm * Tc / (Dm + pT2) + # TODO: replace FullModel with LymphModel where appropriate + + pT1 = self.sbml.FullModel['pT1'] * days_to_mcs + Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected + Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected + pT2 = self.sbml.FullModel['pT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected + g = self.sbml.FullModel['g'] + if g * pT1 * Dm * Tc / (Dm + pT2) > np.random.random(): + cells_to_seed = max(1, round(g * pT1 * Dm * Tc / (Dm + pT2))) + for i in range(cells_to_seed): + cell = False + while not cell: + x = np.random.randint(0, self.dim.x - 3) + y = np.random.randint(0, self.dim.y - 3) + if not self.cell_field[x, y, 1]: + cell = self.new_cell(self.TCELL) + self.cell_field[x:x + 3, y:y + 3, 1] = cell + cell.targetVolume = cell.volume + cell.lambdaVolume = cell.volume + cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") + cd.setLambda(0) + cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -427,53 +453,8 @@ def step(self, mcs): self.J14_Tcell_clearance() self.J15a_Tcell_inflamatory_seeding() - # - # ## Tcell seeding - # # J15a: Dm -> Tc; Dm ; - # g = self.sbml.FullModel['g'] - # # TODO: replace FullModel with LymphModel where appropriate - # - # Dm = self.sbml.FullModel['Dm'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected - # if Dm * g > np.random.random(): - # cells_to_seed = max(1, round(Dm * g)) - # for i in range(cells_to_seed): - # cell = False - # while not cell: - # x = np.random.randint(0, self.dim.x - 3) - # y = np.random.randint(0, self.dim.y - 3) - # if not self.cell_field[x, y, 1]: - # cell = self.new_cell(self.TCELL) - # self.cell_field[x:x + 3, y:y + 3, 1] = cell - # cell.targetVolume = cell.volume - # cell.lambdaVolume = cell.volume - # cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") - # cd.setLambda(0) - # cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) - ## Tcell seeding - # J15b: Dm -> Tc; pT1 * Dm * Tc / (Dm + pT2) - # TODO: replace FullModel with LymphModel where appropriate - - pT1 = self.sbml.FullModel['pT1'] * days_to_mcs - Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected - Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected - pT2 = self.sbml.FullModel['pT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected - g = self.sbml.FullModel['g'] - if g * pT1 * Dm * Tc / (Dm + pT2) > np.random.random(): - cells_to_seed = max(1, round(g * pT1 * Dm * Tc / (Dm + pT2))) - for i in range(cells_to_seed): - cell = False - while not cell: - x = np.random.randint(0, self.dim.x - 3) - y = np.random.randint(0, self.dim.y - 3) - if not self.cell_field[x, y, 1]: - cell = self.new_cell(self.TCELL) - self.cell_field[x:x + 3, y:y + 3, 1] = cell - cell.targetVolume = cell.volume - cell.lambdaVolume = cell.volume - cd = self.chemotaxisPlugin.addChemotaxisData(cell, "Virus") - cd.setLambda(0) - cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + self.J15b_Tcell_inflamatory_seeding() # TODO: NEEDs RESCALING # Tcell clearance From be78c04746530cd21e79c5c01ed125dd8d33ea46 Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 10:04:27 -0400 Subject: [PATCH 061/115] org J15 --- TarunsModel/Simulation/TarunsModelSteppables.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 6d36ef65..cfed1448 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -392,6 +392,10 @@ def J15b_Tcell_inflamatory_seeding(self): cd.setLambda(0) cd.assignChemotactTowardsVectorTypes([self.MEDIUM]) + def J15_Tcell_inflamatory_seeding(self): + self.J15a_Tcell_inflamatory_seeding() + self.J15b_Tcell_inflamatory_seeding() + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -452,9 +456,7 @@ def step(self, mcs): self.J14_Tcell_clearance() - self.J15a_Tcell_inflamatory_seeding() - - self.J15b_Tcell_inflamatory_seeding() + self.J15_Tcell_inflamatory_seeding() # TODO: NEEDs RESCALING # Tcell clearance From 246712e2b78323f647a75251ea689fa7fef49f4b Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 10:07:46 -0400 Subject: [PATCH 062/115] org J16 --- .../Simulation/TarunsModelSteppables.py | 21 +++++++++++-------- 1 file changed, 12 insertions(+), 9 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index cfed1448..435bdf37 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -396,6 +396,17 @@ def J15_Tcell_inflamatory_seeding(self): self.J15a_Tcell_inflamatory_seeding() self.J15b_Tcell_inflamatory_seeding() + def J16_Tcell_clearance(self): + # TODO: NEEDs RESCALING + # Tcell clearance + # J16: Tc ->; dT1 * Tc * Ev/(Ev+dT2) + Ev = len(self.cell_list_by_type(self.EV)) + dT1 = self.sbml.FullModel['dT1'] * days_to_mcs * 3 + dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected + for cell in self.cell_list_by_type(self.TCELL): + if dT1 * Ev / (Ev + dT2) > np.random.random(): + cell.targetVolume = 0.0 + def lymph_model_input_from_full(self, Ev, Da): Ev *= self.sbml.FullModel['E0'] / self.initial_uninfected self.sbml.LymphModel['Ev'] = Ev @@ -458,15 +469,7 @@ def step(self, mcs): self.J15_Tcell_inflamatory_seeding() - # TODO: NEEDs RESCALING - # Tcell clearance - # J16: Tc ->; dT1 * Tc * Ev/(Ev+dT2) - Ev = len(self.cell_list_by_type(self.EV)) - dT1 = self.sbml.FullModel['dT1'] * days_to_mcs * 3 - dT2 = self.sbml.FullModel['dT1'] * days_to_mcs / self.sbml.FullModel['E0'] * self.initial_uninfected - for cell in self.cell_list_by_type(self.TCELL): - if dT1 * Ev / (Ev + dT2) > np.random.random(): - cell.targetVolume = 0.0 + self.J16_Tcell_clearance() ## Tcell Contact Killing for cell in self.cell_list_by_type(self.TCELL): From 7a1513c9b47dbef111a38fb9d22ce77b5c8cc973 Mon Sep 17 00:00:00 2001 From: Juliano Date: Tue, 30 Jun 2020 10:17:24 -0400 Subject: [PATCH 063/115] turned virus secretor (var: secretor) into a class (self) variable (var: self.virus_secretor) --- .../Simulation/TarunsModelSteppables.py | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 435bdf37..f3f3333d 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -160,6 +160,7 @@ def init_variables(self): self.shared_steppable_vars['Active_APCs'] = 0.0 self.shared_steppable_vars['ODE_Killing'] = 0.0 self.shared_steppable_vars['Contact_Killing'] = 0.0 + self.virus_secretor = self.get_field_secretor("Virus") def seed_APC_cells(self): numberAPC = 0.0 @@ -193,7 +194,7 @@ def J2_EtoD(self, cell): if self.sbml.FullModel['dE'] * days_to_mcs > np.random.random(): cell.type = self.D - def J3_EtoEv(self, cell, secretor): + def J3_EtoEv(self, cell): ## Transition from E to Ev # J3: E -> Ev; bE*V*E; if virus_infection_feedback == 1: @@ -236,13 +237,13 @@ def J6_EvtoD(self, cell, Tc): cell.type = self.D self.shared_steppable_vars['ODE_Killing'] += 1 - def J7_virus_production(self, secretor): + def J7_virus_production(self): virus_production = 0.0 for cell in self.cell_list_by_type(self.EV): ## Virus Production # J7: -> V; pV*Ev; pV = self.sbml.FullModel['pV'] * days_to_mcs / self.initial_uninfected * self.sbml.FullModel['E0'] - release = secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) + release = self.virus_secretor.secreteInsideCellTotalCount(cell, pV / cell.volume) virus_production += abs(release.tot_amount) return virus_production @@ -254,7 +255,7 @@ def J8_virus_decay(self, virus_production): self.scalar_virus += virus_production - virus_decay self.shared_steppable_vars['scalar_virus'] = self.scalar_virus - def J9_J10_APC_activation_deactivation(self, secretor): + def J9_J10_APC_activation_deactivation(self): tissue_apc = 0 lymph_apc = 0 node_apc = 0 @@ -278,7 +279,7 @@ def J9_J10_APC_activation_deactivation(self, secretor): bD = (self.sbml.FullModel['bD'] * days_to_mcs) * (self.sbml.FullModel['D0'] * self.initial_uninfected / self.sbml.FullModel['E0']) # V should be local instead of the total virus - V = secretor.amountSeenByCell(cell) * self.initial_uninfected + V = self.virus_secretor.amountSeenByCell(cell) * self.initial_uninfected # V = self.sbml.FullModel['V'] / self.sbml.FullModel['E0'] * self.initial_uninfected p_tissue_2_lymph = bD * V @@ -438,9 +439,9 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.E): self.J2_EtoD(cell) - secretor = self.get_field_secretor("Virus") + # self.virus_secretor = self.get_field_secretor("Virus") for cell in self.cell_list_by_type(self.E): - self.J3_EtoEv(cell, secretor) + self.J3_EtoEv(cell) for cell in self.cell_list_by_type(self.EV): self.J4_EvtoE(cell) @@ -454,12 +455,12 @@ def step(self, mcs): for cell in self.cell_list_by_type(self.EV): self.J6_EvtoD(cell, Tc) - virus_production = self.J7_virus_production(secretor) + virus_production = self.J7_virus_production() self.J8_virus_decay(virus_production) # activated_APC_count = 0 - tissue_apc, lymph_apc, node_apc, just_moved_in_to_node = self.J9_J10_APC_activation_deactivation(secretor) + tissue_apc, lymph_apc, node_apc, just_moved_in_to_node = self.J9_J10_APC_activation_deactivation() self.J11_APC_travel_Lymph_Model_input(just_moved_in_to_node) From af092748a59061ab08874f745bbe8917e5262689 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:13:55 -0400 Subject: [PATCH 064/115] added a couple of comments --- TarunsModel/Simulation/TarunsModelSteppables.py | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index f3f3333d..7735149e 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -1,7 +1,7 @@ from cc3d.core.PySteppables import * import numpy as np -min_to_mcs = 60.0 # min/mcs +min_to_mcs = 60.0 # min/mcs days_to_mcs = min_to_mcs / 1440.0 # day/mcs days_to_simulate = 15.0 @@ -16,6 +16,8 @@ plot_Contact_Cytotoxicity = True +# TODO: add graphs for all state variables + model_string = ''' // Equations J1: D -> E; dE*D; @@ -26,15 +28,20 @@ J6: Ev -> D; kE*g*Ev*Tc; J7: -> V; pV*Ev; J8: V ->; cV*V; + J9: -> Da; bD*V*(D0-Da); J10: Da ->; dD*Da; + +// bellow is lymph + J11: -> Dm; kD*Da; J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; +J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; // changed pT1 to rT1 J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); -J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; + +J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; // J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; From 53c9e717b0ff7625ad76be8592204237a0a0b88a Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:24:04 -0400 Subject: [PATCH 065/115] added new eqs to control sbml; renamed pT1 to rT1 --- .../Simulation/TarunsModelSteppables.py | 64 +++++++++++++++---- 1 file changed, 50 insertions(+), 14 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 7735149e..bfbf94a3 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -38,16 +38,52 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; pT1*Dm*Tc/(Dm+pT2) + Dm; // changed pT1 to rT1 +J15: Dm -> Tc; rT1*Dm*Tc/(Dm+pT2) + Dm; // changed pT1 to rT1 J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; // J17: -> Th1; sTh1*Th1/(1+Th2)^2; -J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; -J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); -J20: Th1 ->; m*Th1; -J21: -> Th2; s2*Th2/(1+Th2); -J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; -J23: Th2 ->; m*Th2; +J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; // J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; +J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); // J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); +J20: Th1 ->; m*Th1; // J20: Th1 ->; mTh1*Th1; +J21: -> Th2; s2*Th2/(1+Th2); // 21: -> Th2; sTh2*Th2/(1+Th2); +J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; // J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm +J23: Th2 ->; m*Th2; // J23: Th2 ->; mTh*Th2; + +// new eqs + +J24: -> B; dB*B0; +J25: B ->; dB*B; +J26: Dm + Th2 -> B; rB1*B*(Dm+h*Th2)/(Dm+h*Th2+rB2); + +J27: B -> Pss; pS*B; +J28: B -> Psn: pS*B; +J29: B -> Pls; pL*B*Th2; +J30: B -> Pln; pL*B*Th2; +J31: Pss ->; dS*Pss; +J32: Psn ->; dS*Psn; +J33: Pls ->; dL*Pls; +J34: Pln ->; dL*Pln; +J35: Pss -> Pls; d*(1-v)*Pss; +J36: Psn -> Pln; d*(1-v)*Psn; +J37: Pss -> Pss; b*v*Pss; +J38: Psn -> Psn; b*v*Psn; +J39: Pls -> Pss; d*(1-v)*Pls; +J40: Pln -> Psn; d*(1-v)*Pln; + +J41: Pss -> sIgM; pAS*Pss; +J42: Psn -> nIgM; pAS*Psn; +J43: Pls -> sIgG; pAS*Pls; +J44: Pln -> nIgG; pAS*Pln; +J45: sIgM ->; dM*sIgM; +J46: sIgG ->; dG*sIgG; +J47: nIgM ->; dM*nIgM; +J48: nIgG ->; dG*nIgG; +// feed back to tissue +J49: Ev -> D; eE*Ev*nIgM; +J50: Ev -> D; eE*Ev*nIgG; +J51: V ->; eV*V*sIgM; +J52: V ->; eV*V*sIgG; + // Parameters aE=5.0*10^-2; @@ -65,7 +101,7 @@ tD=10; dDm=0.5; dc=1.5*10^-3; -pT1=2.7; +rT1=2.7; pT2=600; dT1=2; dT2=1; @@ -91,7 +127,7 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; (pT1*Dm*Tc/(Dm+pT2) + Dm); +J15: Dm -> Tc; (rT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); @@ -117,7 +153,7 @@ tD=10; dDm=0.5; dc=1.5*10^-3; -pT1=2.7; +rT1=2.7; pT2=600; dT1=2; dT2=1; @@ -376,16 +412,16 @@ def J15a_Tcell_inflamatory_seeding(self): def J15b_Tcell_inflamatory_seeding(self): ## Tcell seeding - # J15b: Dm -> Tc; pT1 * Dm * Tc / (Dm + pT2) + # J15b: Dm -> Tc; rT1 * Dm * Tc / (Dm + pT2) # TODO: replace FullModel with LymphModel where appropriate - pT1 = self.sbml.FullModel['pT1'] * days_to_mcs + rT1 = self.sbml.FullModel['rT1'] * days_to_mcs Dm = self.sbml.FullModel['Dm'] / self.sbml.FullModel['E0'] * self.initial_uninfected Tc = self.sbml.FullModel['Tc'] / self.sbml.FullModel['E0'] * self.initial_uninfected pT2 = self.sbml.FullModel['pT2'] / self.sbml.FullModel['E0'] * self.initial_uninfected g = self.sbml.FullModel['g'] - if g * pT1 * Dm * Tc / (Dm + pT2) > np.random.random(): - cells_to_seed = max(1, round(g * pT1 * Dm * Tc / (Dm + pT2))) + if g * rT1 * Dm * Tc / (Dm + pT2) > np.random.random(): + cells_to_seed = max(1, round(g * rT1 * Dm * Tc / (Dm + pT2))) for i in range(cells_to_seed): cell = False while not cell: From b5c67adc6eaaf69f3bf7f96714f418ca4b597990 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:25:39 -0400 Subject: [PATCH 066/115] changed eq j17 --- TarunsModel/Simulation/TarunsModelSteppables.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index bfbf94a3..89427d13 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -38,10 +38,10 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dc*Tc0; J14: Tc ->; dc*Tc; -J15: Dm -> Tc; rT1*Dm*Tc/(Dm+pT2) + Dm; // changed pT1 to rT1 +J15: Dm -> Tc; rT1*Dm*Tc/(Dm+pT2) + Dm; J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); -J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; // J17: -> Th1; sTh1*Th1/(1+Th2)^2; +J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; // J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); // J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; // J20: Th1 ->; mTh1*Th1; @@ -105,7 +105,7 @@ pT2=600; dT1=2; dT2=1; -s1=1.1; +sTh1=1.1; p1=2; d1=0.1; m=0.25; @@ -129,7 +129,7 @@ J14: Tc ->; dc*Tc; J15: Dm -> Tc; (rT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); -J17: Th2 -> Th1; (s1*Th1)/(1+Th2)^2 +Th2; +J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; @@ -157,7 +157,7 @@ pT2=600; dT1=2; dT2=1; -s1=1.1; +sTh1=1.1; p1=2; d1=0.1; m=0.25; From aa287b74ffc841431c079a342746335a2425a574 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:27:04 -0400 Subject: [PATCH 067/115] changed eq j18 --- TarunsModel/Simulation/TarunsModelSteppables.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 89427d13..307bc0c4 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -42,7 +42,7 @@ J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: -> Th1; sTh1*Th1/(1+Th2)^2; -J18: Dm -> Th1; p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm; // J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; +J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); // J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; // J20: Th1 ->; mTh1*Th1; J21: -> Th2; s2*Th2/(1+Th2); // 21: -> Th2; sTh2*Th2/(1+Th2); @@ -106,7 +106,7 @@ dT1=2; dT2=1; sTh1=1.1; -p1=2; +pTh1=2; d1=0.1; m=0.25; s2=0.1; @@ -130,7 +130,7 @@ J15: Dm -> Tc; (rT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: -> Th1; sTh1*Th1/(1+Th2)^2; -J18: Dm -> Th1; ( p1*((Da+Dm)*Th1^2)/(1+Th2)^2 + Dm); +J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); @@ -158,7 +158,7 @@ dT1=2; dT2=1; sTh1=1.1; -p1=2; +pTh1=2; d1=0.1; m=0.25; s2=0.1; From 6da3833f5ed78426fbb80faa8a6402f37864b72f Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:28:36 -0400 Subject: [PATCH 068/115] changed eq j19 --- TarunsModel/Simulation/TarunsModelSteppables.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 307bc0c4..4ab8f588 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -43,7 +43,7 @@ J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; -J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); // J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); +J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; // J20: Th1 ->; mTh1*Th1; J21: -> Th2; s2*Th2/(1+Th2); // 21: -> Th2; sTh2*Th2/(1+Th2); J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; // J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm @@ -107,7 +107,7 @@ dT2=1; sTh1=1.1; pTh1=2; -d1=0.1; +dTh1=0.1; m=0.25; s2=0.1; p2=0.01; @@ -131,7 +131,7 @@ J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; -J19: Th1 ->; d1*((Da+Dm)*Th1^3)/(1+Th2); +J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; m*Th1; J21: -> Th2; s2*Th2/(1+Th2); J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; @@ -159,7 +159,7 @@ dT2=1; sTh1=1.1; pTh1=2; -d1=0.1; +dTh1=0.1; m=0.25; s2=0.1; p2=0.01; From 4cbf7ae25d0c3f174ff34a8cb363a91235a6f14e Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:30:16 -0400 Subject: [PATCH 069/115] changed eq j20&23 --- TarunsModel/Simulation/TarunsModelSteppables.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 4ab8f588..0348fbca 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -44,10 +44,10 @@ J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); -J20: Th1 ->; m*Th1; // J20: Th1 ->; mTh1*Th1; +J20: Th1 ->; mTh1*Th1; J21: -> Th2; s2*Th2/(1+Th2); // 21: -> Th2; sTh2*Th2/(1+Th2); J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; // J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm -J23: Th2 ->; m*Th2; // J23: Th2 ->; mTh*Th2; +J23: Th2 ->; mTh*Th2; // new eqs @@ -108,7 +108,7 @@ sTh1=1.1; pTh1=2; dTh1=0.1; -m=0.25; +mTh1=0.25; s2=0.1; p2=0.01; ro=0.5; @@ -132,10 +132,10 @@ J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); -J20: Th1 ->; m*Th1; +J20: Th1 ->; mTh1*Th1; J21: -> Th2; s2*Th2/(1+Th2); J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; -J23: Th2 ->; m*Th2; +J23: Th2 ->; mTh*Th2; // Parameters aE=5.0*10^-2; @@ -160,7 +160,7 @@ sTh1=1.1; pTh1=2; dTh1=0.1; -m=0.25; +mTh1=0.25; s2=0.1; p2=0.01; ro=0.5; From bbd8f25ca7a67c88ce6fdb986e04dbeef7b70fa8 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:31:17 -0400 Subject: [PATCH 070/115] changed eq j21 --- TarunsModel/Simulation/TarunsModelSteppables.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 0348fbca..704859b7 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -45,7 +45,7 @@ J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; mTh1*Th1; -J21: -> Th2; s2*Th2/(1+Th2); // 21: -> Th2; sTh2*Th2/(1+Th2); +J21: -> Th2; sTh2*Th2/(1+Th2); J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; // J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm J23: Th2 ->; mTh*Th2; @@ -109,7 +109,7 @@ pTh1=2; dTh1=0.1; mTh1=0.25; -s2=0.1; +sTh2=0.1; p2=0.01; ro=0.5; @@ -133,7 +133,7 @@ J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; mTh1*Th1; -J21: -> Th2; s2*Th2/(1+Th2); +J21: -> Th2; sTh2*Th2/(1+Th2); J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; J23: Th2 ->; mTh*Th2; @@ -161,7 +161,7 @@ pTh1=2; dTh1=0.1; mTh1=0.25; -s2=0.1; +sTh2=0.1; p2=0.01; ro=0.5; // Initial Conditions From 8ad0654a392850a15270a1ced06e7f201f7870e7 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:33:04 -0400 Subject: [PATCH 071/115] changed eq j22 --- TarunsModel/Simulation/TarunsModelSteppables.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 704859b7..ae6f21d9 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -46,7 +46,7 @@ J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; mTh1*Th1; J21: -> Th2; sTh2*Th2/(1+Th2); -J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; // J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm +J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm J23: Th2 ->; mTh*Th2; // new eqs @@ -110,8 +110,8 @@ dTh1=0.1; mTh1=0.25; sTh2=0.1; -p2=0.01; -ro=0.5; +pTh2=0.01; +r=0.5; // Initial Conditions E0= 5.0*10^5; @@ -134,7 +134,7 @@ J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; mTh1*Th1; J21: -> Th2; sTh2*Th2/(1+Th2); -J22: Th1 -> Th2; p2*((ro+Th1)*(Da+Dm)*Th1^2)/((1+Th2)*(1+Th2+Th1)) + Th1; +J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm J23: Th2 ->; mTh*Th2; // Parameters @@ -162,8 +162,8 @@ dTh1=0.1; mTh1=0.25; sTh2=0.1; -p2=0.01; -ro=0.5; +pTh2=0.01; +r=0.5; // Initial Conditions Tc0 = 1*10^3; Th1=100; From 1377552b6829aa9c1e1df38761ff3bc663db066a Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:35:45 -0400 Subject: [PATCH 072/115] changed parameters to new ones --- .../Simulation/TarunsModelSteppables.py | 129 ++++++++++++------ 1 file changed, 85 insertions(+), 44 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index ae6f21d9..561787d1 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -86,32 +86,52 @@ // Parameters -aE=5.0*10^-2; -bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2 / 900.0; -g=0.15 * 900.0; -tC=0.5; -pV=1.9; +E0=5*10^5; +bE=3*10^-6; +aE=5.0*10^-2; +V0=10; +pV=19; cV=1; -D0=10^3; -bD=10^-2; +kE=1.19*10^-3; +g=0.15; +tC=0.5;// not included in the model +eE=0.05; +eV=16; +D0=10^3; +bD=10^-2; dD=2.9; -kD=0.5; -tD=10; +kD=0.5; +tD=1;// not included in the model dDm=0.5; -dc=1.5*10^-3; -rT1=2.7; -pT2=600; -dT1=2; -dT2=1; -sTh1=1.1; -pTh1=2; -dTh1=0.1; -mTh1=0.25; -sTh2=0.1; -pTh2=0.01; -r=0.5; +dC=10.1*10^-3; +Tc0=5*10^2; +rT1=1.3; +rT2=1; +dT1=5.0; +dT2=2000; +sTh1=2.5; +pTh1=4; +dTh1=0.03; +mTh=0.25; +sTh2=0.001; +pTh2=0.0012; +r=0.2; +dB=0.0009; +B0=1*10^3; +rB1=100; +rB2=2*10^5; +h=100; +pS=10^-1; +pL=8*10^-3; +dS=0.002; +dL=0.02; +b=2.4*10^-4; +d=2.4*10^-2; +pAS=0.2; +pAL=0.3; +dG=0.04; +dM=0.2; // Initial Conditions E0= 5.0*10^5; @@ -138,32 +158,53 @@ J23: Th2 ->; mTh*Th2; // Parameters -aE=5.0*10^-2; -bE=2*10^-5; dE=10^-3; -kE=1.19*10^-2 / 900.0; -g=0.15 * 900.0; -tC=0.5; -pV=1.9; +E0=5*10^5; +bE=3*10^-6; +aE=5.0*10^-2; +V0=10; +pV=19; cV=1; -D0=10^3; -bD=10^-2; +kE=1.19*10^-3; +g=0.15; +tC=0.5;// not included in the model +eE=0.05; +eV=16; +D0=10^3; +bD=10^-2; dD=2.9; -kD=0.5; -tD=10; +kD=0.5; +tD=1;// not included in the model dDm=0.5; -dc=1.5*10^-3; -rT1=2.7; -pT2=600; -dT1=2; -dT2=1; -sTh1=1.1; -pTh1=2; -dTh1=0.1; -mTh1=0.25; -sTh2=0.1; -pTh2=0.01; -r=0.5; +dC=10.1*10^-3; +Tc0=5*10^2; +rT1=1.3; +rT2=1; +dT1=5.0; +dT2=2000; +sTh1=2.5; +pTh1=4; +dTh1=0.03; +mTh=0.25; +sTh2=0.001; +pTh2=0.0012; +r=0.2; +dB=0.0009; +B0=1*10^3; +rB1=100; +rB2=2*10^5; +h=100; +pS=10^-1; +pL=8*10^-3; +dS=0.002; +dL=0.02; +b=2.4*10^-4; +d=2.4*10^-2; +pAS=0.2; +pAL=0.3; +dG=0.04; +dM=0.2; + // Initial Conditions Tc0 = 1*10^3; Th1=100; From 5a396a0cc2b0ec1bde2a53dddab050d74edbb316 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:37:24 -0400 Subject: [PATCH 073/115] changed initial cond to new ones --- TarunsModel/Simulation/TarunsModelSteppables.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 561787d1..dcb8c27b 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -134,12 +134,10 @@ dM=0.2; // Initial Conditions -E0= 5.0*10^5; -Tc0 = 1*10^3; E = E0; V = 10; -Th1=100; -Th2=100; +Th1=10; +Th2=10; ''' lymph_node_string = ''' @@ -206,9 +204,10 @@ dM=0.2; // Initial Conditions -Tc0 = 1*10^3; -Th1=100; -Th2=100; +E = E0; +V = 10; +Th1=10; +Th2=10; // inputs Da=0.0; // kD*Da Ev = 0.0; From d8b27dc16c9f85aedb359cef07a598f54e223d6f Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:38:06 -0400 Subject: [PATCH 074/115] added new sbml eqs to secondary sbml --- .../Simulation/TarunsModelSteppables.py | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index dcb8c27b..16d179a1 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -154,7 +154,40 @@ J21: -> Th2; sTh2*Th2/(1+Th2); J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm J23: Th2 ->; mTh*Th2; +// new eqs + +J24: -> B; dB*B0; +J25: B ->; dB*B; +J26: Dm + Th2 -> B; rB1*B*(Dm+h*Th2)/(Dm+h*Th2+rB2); +J27: B -> Pss; pS*B; +J28: B -> Psn: pS*B; +J29: B -> Pls; pL*B*Th2; +J30: B -> Pln; pL*B*Th2; +J31: Pss ->; dS*Pss; +J32: Psn ->; dS*Psn; +J33: Pls ->; dL*Pls; +J34: Pln ->; dL*Pln; +J35: Pss -> Pls; d*(1-v)*Pss; +J36: Psn -> Pln; d*(1-v)*Psn; +J37: Pss -> Pss; b*v*Pss; +J38: Psn -> Psn; b*v*Psn; +J39: Pls -> Pss; d*(1-v)*Pls; +J40: Pln -> Psn; d*(1-v)*Pln; + +J41: Pss -> sIgM; pAS*Pss; +J42: Psn -> nIgM; pAS*Psn; +J43: Pls -> sIgG; pAS*Pls; +J44: Pln -> nIgG; pAS*Pln; +J45: sIgM ->; dM*sIgM; +J46: sIgG ->; dG*sIgG; +J47: nIgM ->; dM*nIgM; +J48: nIgG ->; dG*nIgG; +// feed back to tissue +J49: Ev -> D; eE*Ev*nIgM; +J50: Ev -> D; eE*Ev*nIgG; +J51: V ->; eV*V*sIgM; +J52: V ->; eV*V*sIgG; // Parameters dE=10^-3; E0=5*10^5; From a93823d70d5d3e39160f0da3240f52f19e003a66 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:42:26 -0400 Subject: [PATCH 075/115] typo --- TarunsModel/Simulation/TarunsModelSteppables.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 16d179a1..f599940e 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -56,7 +56,7 @@ J26: Dm + Th2 -> B; rB1*B*(Dm+h*Th2)/(Dm+h*Th2+rB2); J27: B -> Pss; pS*B; -J28: B -> Psn: pS*B; +J28: B -> Psn; pS*B; J29: B -> Pls; pL*B*Th2; J30: B -> Pln; pL*B*Th2; J31: Pss ->; dS*Pss; @@ -161,7 +161,7 @@ J26: Dm + Th2 -> B; rB1*B*(Dm+h*Th2)/(Dm+h*Th2+rB2); J27: B -> Pss; pS*B; -J28: B -> Psn: pS*B; +J28: B -> Psn; pS*B; J29: B -> Pls; pL*B*Th2; J30: B -> Pln; pL*B*Th2; J31: Pss ->; dS*Pss; From b074e1037e73f555924ac895229c432d5e25f291 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:43:58 -0400 Subject: [PATCH 076/115] typo --- TarunsModel/Simulation/TarunsModelSteppables.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index f599940e..1f1e1c74 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -36,8 +36,8 @@ J11: -> Dm; kD*Da; J12: Dm ->; dDm*Dm; -J13: -> Tc; dc*Tc0; -J14: Tc ->; dc*Tc; +J13: -> Tc; dC*Tc0; +J14: Tc ->; dC*Tc; J15: Dm -> Tc; rT1*Dm*Tc/(Dm+pT2) + Dm; J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); @@ -143,8 +143,8 @@ lymph_node_string = ''' J11: -> Dm; 0.0*kD*Da; // MUST STAY SHUT OFF, DM IS AN INPUT Dm are apc in lymph J12: Dm ->; dDm*Dm; -J13: -> Tc; dc*Tc0; -J14: Tc ->; dc*Tc; +J13: -> Tc; dC*Tc0; +J14: Tc ->; dC*Tc; J15: Dm -> Tc; (rT1*Dm*Tc/(Dm+pT2) + Dm); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: -> Th1; sTh1*Th1/(1+Th2)^2; @@ -435,7 +435,7 @@ def J13_Tcell_stable_population_seeding(self): ## Tcell seeding # J13: -> Tc; dc*g*Tc0; # TODO: replace FullModel with LymphModel where appropriate - dc = self.sbml.FullModel['dc'] * days_to_mcs + dc = self.sbml.FullModel['dC'] * days_to_mcs g = self.sbml.FullModel['g'] Tc0 = self.sbml.FullModel['Tc0'] / self.sbml.FullModel['E0'] * self.initial_uninfected cell = False @@ -456,7 +456,7 @@ def J14_Tcell_clearance(self): ## Clearance of Tcells # J14: Tc ->; dc*Tc; for cell in self.cell_list_by_type(self.TCELL): - dc = self.sbml.FullModel['dc'] * days_to_mcs + dc = self.sbml.FullModel['dC'] * days_to_mcs if dc > np.random.random(): cell.targetVolume = 0.0 From dcda0084cf776f1a41880c7c2c5f7b4b338872e1 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:47:59 -0400 Subject: [PATCH 077/115] missing param init --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 1f1e1c74..052efb4c 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -132,6 +132,7 @@ pAL=0.3; dG=0.04; dM=0.2; +pT2=600; // Initial Conditions E = E0; @@ -235,6 +236,7 @@ pAL=0.3; dG=0.04; dM=0.2; +pT2=600; // Initial Conditions E = E0; From 865b3f0eb1cc639ed2c27e271151a3cd72a2e1ea Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:50:48 -0400 Subject: [PATCH 078/115] possible typo or missing parameter --- TarunsModel/Simulation/TarunsModelSteppables.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 052efb4c..3806d394 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -44,7 +44,7 @@ J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); -J20: Th1 ->; mTh1*Th1; +J20: Th1 ->; mTh*Th1; J21: -> Th2; sTh2*Th2/(1+Th2); J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm J23: Th2 ->; mTh*Th2; @@ -151,7 +151,7 @@ J17: -> Th1; sTh1*Th1/(1+Th2)^2; J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); -J20: Th1 ->; mTh1*Th1; +J20: Th1 ->; mTh*Th1; J21: -> Th2; sTh2*Th2/(1+Th2); J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm J23: Th2 ->; mTh*Th2; From 9b88a17b730864751334e1a1ff710273de9d92c1 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 16:59:01 -0400 Subject: [PATCH 079/115] placeholder for missing parameter --- TarunsModel/Simulation/TarunsModelSteppables.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 3806d394..f222f3df 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -134,6 +134,8 @@ dM=0.2; pT2=600; +// MISSING PARAM PLACEHOLDER +v = 0.01 // Initial Conditions E = E0; V = 10; @@ -237,6 +239,8 @@ dG=0.04; dM=0.2; pT2=600; +// MISSING PARAM PLACEHOLDER +v = 0.01 // Initial Conditions E = E0; From e2efbf5750fcbeb5a154629dbca582e13da4ea75 Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 17:01:01 -0400 Subject: [PATCH 080/115] added back rescaling of kE/g to have non-0 pop of Tcells --- TarunsModel/Simulation/TarunsModelSteppables.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index f222f3df..0991ef3b 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -93,8 +93,8 @@ V0=10; pV=19; cV=1; -kE=1.19*10^-3; -g=0.15; +kE=1.19*10^-3 / 900; // 900 rescaling for non-0 T cell pop in tissue +g=0.15 * 900; tC=0.5;// not included in the model eE=0.05; eV=16; @@ -199,8 +199,8 @@ V0=10; pV=19; cV=1; -kE=1.19*10^-3; -g=0.15; +kE=1.19*10^-3 / 900; // 900 rescaling for non-0 T cell pop in tissue +g=0.15 * 900; tC=0.5;// not included in the model eE=0.05; eV=16; From e777d4f04bfc9d855c0347088dae82f61d495eaf Mon Sep 17 00:00:00 2001 From: Juliano Date: Thu, 2 Jul 2020 17:23:47 -0400 Subject: [PATCH 081/115] correct value for lower case v --- TarunsModel/Simulation/TarunsModelSteppables.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 0991ef3b..95290b15 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -133,9 +133,7 @@ dG=0.04; dM=0.2; pT2=600; - -// MISSING PARAM PLACEHOLDER -v = 0.01 +v = 0.5 // Initial Conditions E = E0; V = 10; @@ -239,8 +237,7 @@ dG=0.04; dM=0.2; pT2=600; -// MISSING PARAM PLACEHOLDER -v = 0.01 +v = 0.5; // Initial Conditions E = E0; From bfcba80203be2c5c45d42a710e4cf41e003fc0e0 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 3 Jul 2020 16:49:03 -0400 Subject: [PATCH 082/115] fixing Dm eqs --- TarunsModel/Simulation/TarunsModelSteppables.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 95290b15..4c22d48f 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -38,22 +38,26 @@ J12: Dm ->; dDm*Dm; J13: -> Tc; dC*Tc0; J14: Tc ->; dC*Tc; -J15: Dm -> Tc; rT1*Dm*Tc/(Dm+pT2) + Dm; +//# J15: Dm -> Tc; rT1*Dm*Tc/(Dm+pT2) + Dm; +J15: -> Tc; rT1*Dm*Tc/(Dm+pT2); J16: Tc ->; dT1*Tc*Ev/(Ev+dT2); J17: -> Th1; sTh1*Th1/(1+Th2)^2; -J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; +//J18: Dm -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2 + Dm; +J18: -> Th1; pTh1*Dm*(Th1^2)/(1+Th2)^2; J19: Th1 ->; dTh1*Dm*(Th1^3)/(1+Th2); J20: Th1 ->; mTh*Th1; J21: -> Th2; sTh2*Th2/(1+Th2); -J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm +# J22: Dm -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) + Dm +J22: -> Th2; pTh2*(r+Th1)*Dm*(Th2^2)/((1+Th2)*(1+Th1+Th2)) J23: Th2 ->; mTh*Th2; // new eqs J24: -> B; dB*B0; J25: B ->; dB*B; -J26: Dm + Th2 -> B; rB1*B*(Dm+h*Th2)/(Dm+h*Th2+rB2); +//J26: Dm + Th2 -> B; rB1*B*(Dm+h*Th2)/(Dm+h*Th2+rB2); +J26: -> B; rB1*B*(Dm+h*Th2)/(Dm+h*Th2+rB2); J27: B -> Pss; pS*B; J28: B -> Psn; pS*B; @@ -184,11 +188,13 @@ J46: sIgG ->; dG*sIgG; J47: nIgM ->; dM*nIgM; J48: nIgG ->; dG*nIgG; + // feed back to tissue J49: Ev -> D; eE*Ev*nIgM; J50: Ev -> D; eE*Ev*nIgG; J51: V ->; eV*V*sIgM; J52: V ->; eV*V*sIgG; + // Parameters dE=10^-3; E0=5*10^5; @@ -257,6 +263,7 @@ ''' + class TarunsModelSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) From 872f5b89f50f9a780bc67d7adadf368be3eeace5 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 3 Jul 2020 16:49:51 -0400 Subject: [PATCH 083/115] fixing Pss/Psn self creation --- TarunsModel/Simulation/TarunsModelSteppables.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index 4c22d48f..f6d16833 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -69,8 +69,8 @@ J34: Pln ->; dL*Pln; J35: Pss -> Pls; d*(1-v)*Pss; J36: Psn -> Pln; d*(1-v)*Psn; -J37: Pss -> Pss; b*v*Pss; -J38: Psn -> Psn; b*v*Psn; +J37: -> Pss; b*v*Pss; +J38: -> Psn; b*v*Psn; J39: Pls -> Pss; d*(1-v)*Pls; J40: Pln -> Psn; d*(1-v)*Pln; From 986a4a07c4fd3cfbbbb4f09439b9ea8284c0f847 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 3 Jul 2020 16:50:56 -0400 Subject: [PATCH 084/115] add Pln/Pls self boos eqs --- TarunsModel/Simulation/TarunsModelSteppables.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index f6d16833..fe556492 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -70,7 +70,9 @@ J35: Pss -> Pls; d*(1-v)*Pss; J36: Psn -> Pln; d*(1-v)*Psn; J37: -> Pss; b*v*Pss; +J37a: -> Pls; b*v*Pls; J38: -> Psn; b*v*Psn; +J38a: -> Pln; b*v*Pln; J39: Pls -> Pss; d*(1-v)*Pls; J40: Pln -> Psn; d*(1-v)*Pln; From f7e55bebf086735b3dd63fac680d486b0bd042bd Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 3 Jul 2020 17:36:02 -0400 Subject: [PATCH 085/115] messing about with eqs --- .../Simulation/TarunsModelSteppables.py | 41 +++++++++++++------ 1 file changed, 29 insertions(+), 12 deletions(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index fe556492..a4fe6c7b 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -1,9 +1,9 @@ from cc3d.core.PySteppables import * import numpy as np -min_to_mcs = 60.0 # min/mcs +min_to_mcs = 60.0 # min/mcs days_to_mcs = min_to_mcs / 1440.0 # day/mcs -days_to_simulate = 15.0 +days_to_simulate = 30.0 virus_infection_feedback = 1 contact_cytotoxicity = True @@ -76,19 +76,19 @@ J39: Pls -> Pss; d*(1-v)*Pls; J40: Pln -> Psn; d*(1-v)*Pln; -J41: Pss -> sIgM; pAS*Pss; -J42: Psn -> nIgM; pAS*Psn; -J43: Pls -> sIgG; pAS*Pls; -J44: Pln -> nIgG; pAS*Pln; +J41: -> sIgM; pAS*Pss; +J42: -> nIgM; pAS*Psn; +J43: -> sIgG; pAS*Pls; +J44: -> nIgG; pAS*Pln; J45: sIgM ->; dM*sIgM; J46: sIgG ->; dG*sIgG; J47: nIgM ->; dM*nIgM; J48: nIgG ->; dG*nIgG; // feed back to tissue -J49: Ev -> D; eE*Ev*nIgM; +J49: Ev -> D; eE*Ev*nIgM; // reevaluate these set (49-52) due to anti-bodies being consumed J50: Ev -> D; eE*Ev*nIgG; -J51: V ->; eV*V*sIgM; -J52: V ->; eV*V*sIgG; +J51: V + sIgM ->; eV*V*sIgM; +J52: V + sIgG ->; eV*V*sIgG; // Parameters @@ -99,8 +99,8 @@ V0=10; pV=19; cV=1; -kE=1.19*10^-3 / 900; // 900 rescaling for non-0 T cell pop in tissue -g=0.15 * 900; +kE=1.19*10^-3 / 9; // 900 rescaling for non-0 T cell pop in tissue +g=0.15 * 9; tC=0.5;// not included in the model eE=0.05; eV=16; @@ -265,7 +265,6 @@ ''' - class TarunsModelSteppable(SteppableBasePy): def __init__(self, frequency=1): SteppableBasePy.__init__(self, frequency) @@ -703,7 +702,25 @@ def start(self): self.plot_win6.add_plot("ODECC", style='Dots', color='red', size=5) self.plot_win6.add_plot("CC3DCC", style='Lines', color='red', size=5) + self.plot_win7 = self.add_new_plot_window(title='Anti-Bodies', + x_axis_title='Time (days)', + y_axis_title='Conc', x_scale_type='linear', + y_scale_type='linear', + grid=False) + + self.plot_win7.add_plot("nIgM SBML", style='Dots', color='red', size=5) + self.plot_win7.add_plot("nIgG SBML", style='Lines', color='blue', size=5) + + self.plot_win7.add_plot("sIgM SBML", style='Lines', color='yellow', size=5) + self.plot_win7.add_plot("sIgG SBML", style='Lines', color='magenta', size=5) + def step(self, mcs): + + # self.plot_win7.add_data_point("nIgM SBML", mcs * days_to_mcs, self.sbml.FullModel['nIgM']) + # self.plot_win7.add_data_point("nIgG SBML", mcs * days_to_mcs, self.sbml.FullModel['nIgG']) + self.plot_win7.add_data_point("sIgM SBML", mcs * days_to_mcs, self.sbml.FullModel['sIgM']) + self.plot_win7.add_data_point("sIgG SBML", mcs * days_to_mcs, self.sbml.FullModel['sIgG']) + if plot_Epithelial_cells: self.plot_win.add_data_point("ODEE", mcs * days_to_mcs, self.sbml.FullModel['E'] / self.sbml.FullModel['E0']) From e9f2836b7fe3f6d2795db74352e170e8bbe55213 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 3 Jul 2020 17:51:59 -0400 Subject: [PATCH 086/115] changed a plot --- TarunsModel/Simulation/TarunsModelSteppables.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/TarunsModel/Simulation/TarunsModelSteppables.py b/TarunsModel/Simulation/TarunsModelSteppables.py index a4fe6c7b..fca6a7c4 100644 --- a/TarunsModel/Simulation/TarunsModelSteppables.py +++ b/TarunsModel/Simulation/TarunsModelSteppables.py @@ -769,5 +769,6 @@ def step(self, mcs): self.sbml.LymphModel['Dm'] / self.sbml.FullModel['E0']) if contact_cytotoxicity and plot_Contact_Cytotoxicity: - self.plot_win6.add_data_point("ODECC", mcs * days_to_mcs, self.shared_steppable_vars['ODE_Killing']) + self.plot_win6.add_data_point("ODECC", mcs * days_to_mcs, self.sbml.FullModel['J6']) + # self.plot_win6.add_data_point("ODECC", mcs * days_to_mcs, self.shared_steppable_vars['ODE_Killing']) self.plot_win6.add_data_point("CC3DCC", mcs * days_to_mcs, self.shared_steppable_vars['Contact_Killing']) From 8fd1711419308a938dc92680c0ed7737c76e5741 Mon Sep 17 00:00:00 2001 From: Juliano Date: Fri, 3 Jul 2020 17:52:17 -0400 Subject: [PATCH 087/115] paperp --- TarunsModel/e1701676.full.pdf | Bin 0 -> 3197844 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 TarunsModel/e1701676.full.pdf diff --git a/TarunsModel/e1701676.full.pdf b/TarunsModel/e1701676.full.pdf new file mode 100644 index 0000000000000000000000000000000000000000..87295b9a36198cc37a2174b081966435ee55e36a GIT binary patch literal 3197844 zcmb@tbyS?&vM)*kL4!+h8h2^j-QC?9Xx!Z)1cyLyclU%~!Gi{OcPF?6m%L80*4lfY zbH{u4o_BkUIld`Xzp7bPvue&ino?O@k`c(niA=e>`bgoKt@v*b~XS9D-*;R zoZMUt09F)sdH( z*~7zw$%Bo_!P$Zt$ioAHVP$4zWrR>Lx_H^Uf;<`RUC94{{EZ_Hb}@Cfa&)zFum}9Y 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