<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ge Y</submitter><funding>NIDDK NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><funding>Engineering and Physical Sciences Research Council</funding><pagination>767-779</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9869699</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>36(10)</volume><pubmed_abstract>Water plays an important role in mediating protein-ligand interactions. Water rearrangement upon a ligand binding or modification can be very slow and beyond typical timescales used in molecular dynamics (MD) simulations. Thus, inadequate sampling of slow water motions in MD simulations often impairs the accuracy of the accuracy of ligand binding free energy calculations. Previous studies suggest grand canonical Monte Carlo (GCMC) outperforms normal MD simulations for water sampling, thus GCMC has been applied to help improve the accuracy of ligand binding free energy calculations. However, in prior work we observed protein and/or ligand motions impaired how well GCMC performs at water rehydration, suggesting more work is needed to improve this method to handle water sampling. In this work</pubmed_abstract><journal>Journal of computer-aided molecular design</journal><pubmed_title>Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo.</pubmed_title><pmcid>PMC9869699</pmcid><funding_grant_id>R01 AI108889</funding_grant_id><funding_grant_id>R01GM108889</funding_grant_id><funding_grant_id>R01 GM108889</funding_grant_id><funding_grant_id>EP/R029407/2</funding_grant_id><funding_grant_id>R01 DK132386</funding_grant_id><funding_grant_id>R01 GM132386</funding_grant_id><pubmed_authors>Melling OJ</pubmed_authors><pubmed_authors>Dong W</pubmed_authors><pubmed_authors>Essex JW</pubmed_authors><pubmed_authors>Mobley DL</pubmed_authors><pubmed_authors>Ge Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Enhancing sampling of water rehydration upon ligand binding using variants of grand canonical Monte Carlo.</name><description>Water plays an important role in mediating protein-ligand interactions. Water rearrangement upon a ligand binding or modification can be very slow and beyond typical timescales used in molecular dynamics (MD) simulations. Thus, inadequate sampling of slow water motions in MD simulations often impairs the accuracy of the accuracy of ligand binding free energy calculations. Previous studies suggest grand canonical Monte Carlo (GCMC) outperforms normal MD simulations for water sampling, thus GCMC has been applied to help improve the accuracy of ligand binding free energy calculations. However, in prior work we observed protein and/or ligand motions impaired how well GCMC performs at water rehydration, suggesting more work is needed to improve this method to handle water sampling. In this work</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2026-05-28T01:36:55.851Z</modification><creation>2025-04-04T12:48:49.068Z</creation></dates><accession>S-EPMC9869699</accession><cross_references><pubmed>36198874</pubmed><doi>10.1007/s10822-022-00479-w</doi></cross_references></HashMap>