Browsing Facultad de Ciencias Químicas by Subject "Machine learning"
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SAnDReS 2.0: Development of machine-learning models to explore the scoring function space
(2024-06-20)Classical scoring functions may exhibit low accuracy in determining ligand binding affinity for proteins. The availability of both protein-ligand structures and affinity data make it possible to develop machine-learning ...