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Are Deep Learning Structural Models Sufficiently Accurate for Virtual Screening? Application of Docking Algorithms to AlphaFold2 Predicted Structures., , , , , and . J. Chem. Inf. Model., 63 (6): 1668-1674 (March 2023)Rigorous Free Energy Simulations in Virtual Screening., , , , , and . J. Chem. Inf. Model., 60 (9): 4153-4169 (2020)Improved Docking of Polypeptides with Glide., , , and . J. Chem. Inf. Model., 53 (7): 1689-1699 (2013)Selecting an Optimal Number of Binding Site Waters To Improve Virtual Screening Enrichments Against the Adenosine A2A Receptor., , , , and . J. Chem. Inf. Model., 54 (6): 1737-1746 (2014)Current Assessment of Docking into GPCR Crystal Structures and Homology Models: Successes, Challenges, and Guidelines., and . J. Chem. Inf. Model., 52 (12): 3263-3277 (2012)PDZBase: a protein?Cprotein interaction database for PDZ-domains., , , , and . Bioinform., 21 (6): 827-828 (2005)Are Deep Learning Structural Models Sufficiently Accurate for Free-Energy Calculations? Application of FEP+ to AlphaFold2-Predicted Structures., , , , , and . J. Chem. Inf. Model., 62 (18): 4351-4360 (2022)Predicting GPCR Promiscuity Using Binding Site Features., , , , and . J. Chem. Inf. Model., 54 (1): 184-194 (2014)Structure-Based Virtual Screening of MT2 Melatonin Receptor: Influence of Template Choice and Structural Refinement., , , , , and . J. Chem. Inf. Model., 53 (4): 821-835 (2013)TRAC: A Platform for Structure-Function Studies of NSS-Proteins Integrates Information from Bioinformatics and Biomedical Literature., , , , , and . BIBE, page 267-272. IEEE Computer Society, (2010)