Ligand-Based Features Improve ML Scoring Functions Vina terms and RDKit descriptors. This combination results in predictive performance comparable to that of the RF-Score, RF-Score v3, and NNScore 2.0 features, suggesting that a more complex and detailed set of features describing protein-ligand interactions is not necessarily more predictive than a comparatively simple set of forcefield-like terms (AutoDock Vina terms) and molecular descriptors of the ligand (RDKit descriptors).