DrugScore(CSD)-knowledge-based scoring function derived from small molecule crystal data with superior recognition rate of near-native ligand poses and better affinity prediction.

By Hans F. G. Velec, Holger Gohlke, Gerhard Klebe. 2005

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A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking (2010, positive): “Some knowledgebased scoring functions now include parameters that are fitted to experimental binding affinities (e.g. Velec et al., 2005) or introduce Information Theory-driven improvements as well as © The Author 2010.”
Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview (2018, background): “DrugScore (Gohlke et al., 2000; Velec et al., 2005) and GOLD/ASP (Mooij and Verdonk, 2005) are examples of knowledge-based scoring functions.”
Advances and Challenges in Protein-Ligand Docking (2010, neutral): “Examples include DrugScore [138,139], SMoG [140,141], BLEEP [142,143], GOLD/ASP [144], MScore [145], and KScore[146].”
Computational Methods in Drug Discovery (2014, background): “, 2000), DRUGSCORE (Velec et al., 2005), SMOG (DeWitte and Shakhnovich, 1997), and”
Key Topics in Molecular Docking for Drug Design (2019, background): “DrugScore of FlexX program [60] and PMF [61] are examples of knowledge-based functions.”