A step-by-step, fully open-source pipeline that turns raw Protein Data Bank structures into a ligand-based 3D pharmacophore - mining the PDB, aligning binding pockets, clustering ligands, fixing bond orders, and distilling a consensus feature map ready for virtual screening.
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A flexible Python framework for building, validating, and applying gradient boosting-based QSAR models, with built-in support for molecular fingerprints, hyperparameter optimization, and model interpretation.
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An automated Python script for structure-based virtual screening with AutoDock Vina, handling batch ligand preparation, parallel docking, and result parsing for large compound libraries.
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Easily learn Python in 10 minutes!
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