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Open-Boundary Molecular Mechanics/Coarse-Grained Framework for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand Complexes
[Image: see text] G-protein-coupled receptors (GPCRs) constitute as much as 30% of the overall proteins targeted by FDA-approved drugs. However, paucity of structural experimental information and low sequence identity between members of the family impair the reliability of traditional docking approa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433333/ https://www.ncbi.nlm.nih.gov/pubmed/30763087 http://dx.doi.org/10.1021/acs.jctc.9b00040 |
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author | Tarenzi, Thomas Calandrini, Vania Potestio, Raffaello Carloni, Paolo |
author_facet | Tarenzi, Thomas Calandrini, Vania Potestio, Raffaello Carloni, Paolo |
author_sort | Tarenzi, Thomas |
collection | PubMed |
description | [Image: see text] G-protein-coupled receptors (GPCRs) constitute as much as 30% of the overall proteins targeted by FDA-approved drugs. However, paucity of structural experimental information and low sequence identity between members of the family impair the reliability of traditional docking approaches and atomistic molecular dynamics simulations for in silico pharmacological applications. We present here a dual-resolution approach tailored for such low-resolution models. It couples a hybrid molecular mechanics/coarse-grained (MM/CG) scheme, previously developed by us for GPCR–ligand complexes, with a Hamiltonian-based adaptive resolution scheme (H-AdResS) for the solvent. This dual-resolution approach removes potentially inaccurate atomistic details from the model while building a rigorous statistical ensemble—the grand canonical one—in the high-resolution region. We validate the method on a well-studied GPCR–ligand complex, for which the 3D structure is known, against atomistic simulations. This implementation paves the way for future accurate in silico studies of low-resolution ligand/GPCRs models. |
format | Online Article Text |
id | pubmed-6433333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-64333332019-03-26 Open-Boundary Molecular Mechanics/Coarse-Grained Framework for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand Complexes Tarenzi, Thomas Calandrini, Vania Potestio, Raffaello Carloni, Paolo J Chem Theory Comput [Image: see text] G-protein-coupled receptors (GPCRs) constitute as much as 30% of the overall proteins targeted by FDA-approved drugs. However, paucity of structural experimental information and low sequence identity between members of the family impair the reliability of traditional docking approaches and atomistic molecular dynamics simulations for in silico pharmacological applications. We present here a dual-resolution approach tailored for such low-resolution models. It couples a hybrid molecular mechanics/coarse-grained (MM/CG) scheme, previously developed by us for GPCR–ligand complexes, with a Hamiltonian-based adaptive resolution scheme (H-AdResS) for the solvent. This dual-resolution approach removes potentially inaccurate atomistic details from the model while building a rigorous statistical ensemble—the grand canonical one—in the high-resolution region. We validate the method on a well-studied GPCR–ligand complex, for which the 3D structure is known, against atomistic simulations. This implementation paves the way for future accurate in silico studies of low-resolution ligand/GPCRs models. American Chemical Society 2019-02-14 2019-03-12 /pmc/articles/PMC6433333/ /pubmed/30763087 http://dx.doi.org/10.1021/acs.jctc.9b00040 Text en Copyright © 2019 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Tarenzi, Thomas Calandrini, Vania Potestio, Raffaello Carloni, Paolo Open-Boundary Molecular Mechanics/Coarse-Grained Framework for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand Complexes |
title | Open-Boundary Molecular Mechanics/Coarse-Grained Framework
for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand
Complexes |
title_full | Open-Boundary Molecular Mechanics/Coarse-Grained Framework
for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand
Complexes |
title_fullStr | Open-Boundary Molecular Mechanics/Coarse-Grained Framework
for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand
Complexes |
title_full_unstemmed | Open-Boundary Molecular Mechanics/Coarse-Grained Framework
for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand
Complexes |
title_short | Open-Boundary Molecular Mechanics/Coarse-Grained Framework
for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand
Complexes |
title_sort | open-boundary molecular mechanics/coarse-grained framework
for simulations of low-resolution g-protein-coupled receptor–ligand
complexes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433333/ https://www.ncbi.nlm.nih.gov/pubmed/30763087 http://dx.doi.org/10.1021/acs.jctc.9b00040 |
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