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Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes

Understanding how ligands bind to G-protein coupled receptors (GPCRs) provides insights into a myriad of cell processes and is crucial for drug development. Here we extend a hybrid molecular mechanics/coarse-grained (MM/CG) approach applied previously to enzymes to GPCR/ligand complexes. The accurac...

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Detalles Bibliográficos
Autores principales: Leguèbe, Michael, Nguyen, Chuong, Capece, Luciana, Hoang, Zung, Giorgetti, Alejandro, Carloni, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3477165/
https://www.ncbi.nlm.nih.gov/pubmed/23094046
http://dx.doi.org/10.1371/journal.pone.0047332
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author Leguèbe, Michael
Nguyen, Chuong
Capece, Luciana
Hoang, Zung
Giorgetti, Alejandro
Carloni, Paolo
author_facet Leguèbe, Michael
Nguyen, Chuong
Capece, Luciana
Hoang, Zung
Giorgetti, Alejandro
Carloni, Paolo
author_sort Leguèbe, Michael
collection PubMed
description Understanding how ligands bind to G-protein coupled receptors (GPCRs) provides insights into a myriad of cell processes and is crucial for drug development. Here we extend a hybrid molecular mechanics/coarse-grained (MM/CG) approach applied previously to enzymes to GPCR/ligand complexes. The accuracy of this method for structural predictions is established by comparison with recent atomistic molecular dynamics simulations on the human β2 adrenergic receptor, a member of the GPCRs superfamily. The results obtained with the MM/CG methodology show a good agreement with previous all-atom classical dynamics simulations, in particular in the structural description of the ligand binding site. This approach could be used for high-throughput predictions of ligand poses in a variety of GPCRs.
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spelling pubmed-34771652012-10-23 Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes Leguèbe, Michael Nguyen, Chuong Capece, Luciana Hoang, Zung Giorgetti, Alejandro Carloni, Paolo PLoS One Research Article Understanding how ligands bind to G-protein coupled receptors (GPCRs) provides insights into a myriad of cell processes and is crucial for drug development. Here we extend a hybrid molecular mechanics/coarse-grained (MM/CG) approach applied previously to enzymes to GPCR/ligand complexes. The accuracy of this method for structural predictions is established by comparison with recent atomistic molecular dynamics simulations on the human β2 adrenergic receptor, a member of the GPCRs superfamily. The results obtained with the MM/CG methodology show a good agreement with previous all-atom classical dynamics simulations, in particular in the structural description of the ligand binding site. This approach could be used for high-throughput predictions of ligand poses in a variety of GPCRs. Public Library of Science 2012-10-19 /pmc/articles/PMC3477165/ /pubmed/23094046 http://dx.doi.org/10.1371/journal.pone.0047332 Text en © 2012 Leguèbe et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Leguèbe, Michael
Nguyen, Chuong
Capece, Luciana
Hoang, Zung
Giorgetti, Alejandro
Carloni, Paolo
Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
title Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
title_full Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
title_fullStr Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
title_full_unstemmed Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
title_short Hybrid Molecular Mechanics/Coarse-Grained Simulations for Structural Prediction of G-Protein Coupled Receptor/Ligand Complexes
title_sort hybrid molecular mechanics/coarse-grained simulations for structural prediction of g-protein coupled receptor/ligand complexes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3477165/
https://www.ncbi.nlm.nih.gov/pubmed/23094046
http://dx.doi.org/10.1371/journal.pone.0047332
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