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Deriving Ca2+ Charge in Varying Environment Using Machine Learning Methods

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CaXML

Annotating Calcium Ion Charges in Varying Environments Using Explainable Machine Learning

Input: PDB or MD structure of the EF-hand calcium-binding loop [12 residues + 1 calcium ion].

Output: i-RESP (or RESP) calcium charge in the given environment.

Required packages

  • pymol # conda install -c conda-forge -c schrodinger pymol-bundle
  • xgboost
  • pandas
  • networkx
  • dscribe

NOTE: scipy, biopython, and scikit-learn are already installed as dependencies of the above packages.

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Deriving Ca2+ Charge in Varying Environment Using Machine Learning Methods

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