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Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery
G protein-coupled receptors (GPCRs) are critical drug targets. GPCRs convey signals from the extracellular to the intracellular environment through G proteins. Some ligands that bind to GPCRs activate different downstream signaling pathways. G protein activation, or β-arrestin biased signaling, invo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747122/ https://www.ncbi.nlm.nih.gov/pubmed/31470676 http://dx.doi.org/10.3390/ijms20174237 |
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author | Zou, Ye Ewalt, John Ng, Ho-Leung |
author_facet | Zou, Ye Ewalt, John Ng, Ho-Leung |
author_sort | Zou, Ye |
collection | PubMed |
description | G protein-coupled receptors (GPCRs) are critical drug targets. GPCRs convey signals from the extracellular to the intracellular environment through G proteins. Some ligands that bind to GPCRs activate different downstream signaling pathways. G protein activation, or β-arrestin biased signaling, involves ligands binding to receptors and stabilizing conformations that trigger a specific pathway. β-arrestin biased signaling has become a hot target for structure-based drug discovery. However, challenges include that there are few crystal structures available in the Protein Data Bank and that GPCRs are highly dynamic. Hence, molecular dynamics (MD) simulations are especially valuable for obtaining detailed mechanistic information, including identification of allosteric sites and understanding modulators’ interactions with receptors and ligands. Here, we highlight recent MD simulation studies and enhanced sampling methods used to study biased G protein-coupled receptor signaling and their conformational dynamics as well as applications to drug discovery. |
format | Online Article Text |
id | pubmed-6747122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67471222019-09-27 Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery Zou, Ye Ewalt, John Ng, Ho-Leung Int J Mol Sci Review G protein-coupled receptors (GPCRs) are critical drug targets. GPCRs convey signals from the extracellular to the intracellular environment through G proteins. Some ligands that bind to GPCRs activate different downstream signaling pathways. G protein activation, or β-arrestin biased signaling, involves ligands binding to receptors and stabilizing conformations that trigger a specific pathway. β-arrestin biased signaling has become a hot target for structure-based drug discovery. However, challenges include that there are few crystal structures available in the Protein Data Bank and that GPCRs are highly dynamic. Hence, molecular dynamics (MD) simulations are especially valuable for obtaining detailed mechanistic information, including identification of allosteric sites and understanding modulators’ interactions with receptors and ligands. Here, we highlight recent MD simulation studies and enhanced sampling methods used to study biased G protein-coupled receptor signaling and their conformational dynamics as well as applications to drug discovery. MDPI 2019-08-29 /pmc/articles/PMC6747122/ /pubmed/31470676 http://dx.doi.org/10.3390/ijms20174237 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Zou, Ye Ewalt, John Ng, Ho-Leung Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery |
title | Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery |
title_full | Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery |
title_fullStr | Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery |
title_full_unstemmed | Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery |
title_short | Recent Insights from Molecular Dynamics Simulations for G Protein-Coupled Receptor Drug Discovery |
title_sort | recent insights from molecular dynamics simulations for g protein-coupled receptor drug discovery |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747122/ https://www.ncbi.nlm.nih.gov/pubmed/31470676 http://dx.doi.org/10.3390/ijms20174237 |
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