sandres
PublicSAnDReS (Statistical Analysis of Docking Results and Scoring functions) is a free and open-source computational environment for the development of machine-learning models for the prediction of ligand-binding affinity. We developed SAnDReS using Python programming language, and SciPy, NumPy, scikit-learn, and Matplotlib libraries as a computational
dockingimachine-learningprotein-drug-interactionsprotein-ligandpythonsandresscikit-learnscoring-function-space
Creat：2018-05-03T01:29:09
Update：2025-01-12T18:09:06
https://github.com/azevedolab/sandres
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