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Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

State-of-the-art protein-ligand docking methods are generally limited by the traditionally low accuracy of their scoring functions, which are used to predict binding affinity and thus vital for discriminating between active and inactive compounds. |