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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3477165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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