Resumen
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.
| Idioma original | English |
|---|---|
| Páginas (desde-hasta) | 5189-5195 |
| Número de páginas | 7 |
| Publicación | Journal of Physical Chemistry B |
| Volumen | 123 |
| N.º | 25 |
| DOI | |
| Estado | Published - jun 27 2019 |
Nota bibliográfica
Publisher Copyright:© 2019 American Chemical Society.
Financiación
J.B. acknowledges the University of Alabama in Huntsville for support. J.B., J.C.S., and W.E.F. acknowledge support from the University of Tennessee, the LDRD program of ORNL, and SRE, the Cancer Research Informatics Shared Resource Facility of the University of Kentucky Markey Cancer Center (P30CA177558).
| Financiadores | Número del financiador |
|---|---|
| Oak Ridge National Laboratory | |
| Laboratory Directed Research and Development | |
| University of Tennessee | |
| University of Kentucky Markey Comprehensive Cancer Center | P30CA177558 |
ASJC Scopus subject areas
- Physical and Theoretical Chemistry
- Surfaces, Coatings and Films
- Materials Chemistry
Huella
Profundice en los temas de investigación de 'Ensemble Docking in Drug Discovery: How Many Protein Configurations from Molecular Dynamics Simulations are Needed to Reproduce Known Ligand Binding?'. En conjunto forman una huella única.Citar esto
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