SAnDReS (Statistical Analysis of Docking Results and Scoring functions) is a free and open-source (GNU General Public License) 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 tool to explore the scoring function space.
