sandres

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• sandres

  azevedolab / sandres

  SAnDReS (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
  Language:Python 14