期刊
JOURNAL OF PHYSICAL CHEMISTRY B
卷 123, 期 25, 页码 5189-5195出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcb.8b11491
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资金
- University of Alabama in Huntsville
- University of Tennessee
- LDRD program of ORNL
- Cancer Research Informatics Shared Resource Facility of the University of Kentucky Markey Cancer Center [P30CA177558]
Ensemble docking in drug discovery or chemical biology uses dynamical simulations of target proteins to generate binding site conformations for docking campaigns. We show that 600 ns molecular dynamics simulations of four G-protein-coupled receptors in their membrane environments generate ensembles of protein configurations that, collectively, are selected by 70-99% of the known ligands of these proteins. Therefore, the process of ligand recognition by conformational selection can be reproduced by combining molecular dynamics and docking calculations. Clustering of the molecular dynamics trajectories, however, does not necessarily identify the protein conformations that are most often selected by the ligands.
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