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How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs
G protein-coupled receptors (GPCRs) are implicated in nearly every physiological process in the human body and therefore represent an important drug targeting class. Advances in X-ray crystallography and cryo-electron microscopy (cryo-EM) have provided multiple static structures of GPCRs in complex...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460635/ https://www.ncbi.nlm.nih.gov/pubmed/32824756 http://dx.doi.org/10.3390/ijms21165933 |
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author | Torrens-Fontanals, Mariona Stepniewski, Tomasz Maciej Aranda-García, David Morales-Pastor, Adrián Medel-Lacruz, Brian Selent, Jana |
author_facet | Torrens-Fontanals, Mariona Stepniewski, Tomasz Maciej Aranda-García, David Morales-Pastor, Adrián Medel-Lacruz, Brian Selent, Jana |
author_sort | Torrens-Fontanals, Mariona |
collection | PubMed |
description | G protein-coupled receptors (GPCRs) are implicated in nearly every physiological process in the human body and therefore represent an important drug targeting class. Advances in X-ray crystallography and cryo-electron microscopy (cryo-EM) have provided multiple static structures of GPCRs in complex with various signaling partners. However, GPCR functionality is largely determined by their flexibility and ability to transition between distinct structural conformations. Due to this dynamic nature, a static snapshot does not fully explain the complexity of GPCR signal transduction. Molecular dynamics (MD) simulations offer the opportunity to simulate the structural motions of biological processes at atomic resolution. Thus, this technique can incorporate the missing information on protein flexibility into experimentally solved structures. Here, we review the contribution of MD simulations to complement static structural data and to improve our understanding of GPCR physiology and pharmacology, as well as the challenges that still need to be overcome to reach the full potential of this technique. |
format | Online Article Text |
id | pubmed-7460635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74606352020-09-03 How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs Torrens-Fontanals, Mariona Stepniewski, Tomasz Maciej Aranda-García, David Morales-Pastor, Adrián Medel-Lacruz, Brian Selent, Jana Int J Mol Sci Review G protein-coupled receptors (GPCRs) are implicated in nearly every physiological process in the human body and therefore represent an important drug targeting class. Advances in X-ray crystallography and cryo-electron microscopy (cryo-EM) have provided multiple static structures of GPCRs in complex with various signaling partners. However, GPCR functionality is largely determined by their flexibility and ability to transition between distinct structural conformations. Due to this dynamic nature, a static snapshot does not fully explain the complexity of GPCR signal transduction. Molecular dynamics (MD) simulations offer the opportunity to simulate the structural motions of biological processes at atomic resolution. Thus, this technique can incorporate the missing information on protein flexibility into experimentally solved structures. Here, we review the contribution of MD simulations to complement static structural data and to improve our understanding of GPCR physiology and pharmacology, as well as the challenges that still need to be overcome to reach the full potential of this technique. MDPI 2020-08-18 /pmc/articles/PMC7460635/ /pubmed/32824756 http://dx.doi.org/10.3390/ijms21165933 Text en © 2020 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 Torrens-Fontanals, Mariona Stepniewski, Tomasz Maciej Aranda-García, David Morales-Pastor, Adrián Medel-Lacruz, Brian Selent, Jana How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs |
title | How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs |
title_full | How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs |
title_fullStr | How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs |
title_full_unstemmed | How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs |
title_short | How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs |
title_sort | how do molecular dynamics data complement static structural data of gpcrs |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460635/ https://www.ncbi.nlm.nih.gov/pubmed/32824756 http://dx.doi.org/10.3390/ijms21165933 |
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