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Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations

The dynamic structure of proteins is essential for their functions and may include large conformational transitions which can be studied by molecular dynamics (MD) simulations. However, details of these transitions are difficult to automatically track. To facilitate their analysis, we developed two...

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Autores principales: Taddese, Bruck, Garnier, Antoine, Abdi, Hervé, Henrion, Daniel, Chabbert, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522237/
https://www.ncbi.nlm.nih.gov/pubmed/32985550
http://dx.doi.org/10.1038/s41598-020-72766-1
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author Taddese, Bruck
Garnier, Antoine
Abdi, Hervé
Henrion, Daniel
Chabbert, Marie
author_facet Taddese, Bruck
Garnier, Antoine
Abdi, Hervé
Henrion, Daniel
Chabbert, Marie
author_sort Taddese, Bruck
collection PubMed
description The dynamic structure of proteins is essential for their functions and may include large conformational transitions which can be studied by molecular dynamics (MD) simulations. However, details of these transitions are difficult to automatically track. To facilitate their analysis, we developed two scores of correlation between sidechain dihedral angles. The CIRCULAR and OMES scores are computed from, respectively, dihedral angle values and rotamer distributions. As a case study, we applied our methods to an activation-like transition of the chemokine receptor CXCR4, observed during accelerated MD simulations. The principal component analysis of the correlation matrices was consistent with the networking structure of the top ranking pairs. Both scores identify a set of residues whose “collaborative” sidechain rotamerization immediately preceded or accompanied the conformational transition of CXCR4. Detailed analysis of the sequential order of these rotamerizations suggests that an allosteric mechanism, involving the outward motion of an asparagine residue in transmembrane helix 3, might be a prerequisite to the large scale conformational transition of CXCR4. This case study provides the proof-of-concept that the correlation methods developed here are valuable exploratory techniques to help decipher complex reactional pathways.
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spelling pubmed-75222372020-09-29 Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations Taddese, Bruck Garnier, Antoine Abdi, Hervé Henrion, Daniel Chabbert, Marie Sci Rep Article The dynamic structure of proteins is essential for their functions and may include large conformational transitions which can be studied by molecular dynamics (MD) simulations. However, details of these transitions are difficult to automatically track. To facilitate their analysis, we developed two scores of correlation between sidechain dihedral angles. The CIRCULAR and OMES scores are computed from, respectively, dihedral angle values and rotamer distributions. As a case study, we applied our methods to an activation-like transition of the chemokine receptor CXCR4, observed during accelerated MD simulations. The principal component analysis of the correlation matrices was consistent with the networking structure of the top ranking pairs. Both scores identify a set of residues whose “collaborative” sidechain rotamerization immediately preceded or accompanied the conformational transition of CXCR4. Detailed analysis of the sequential order of these rotamerizations suggests that an allosteric mechanism, involving the outward motion of an asparagine residue in transmembrane helix 3, might be a prerequisite to the large scale conformational transition of CXCR4. This case study provides the proof-of-concept that the correlation methods developed here are valuable exploratory techniques to help decipher complex reactional pathways. Nature Publishing Group UK 2020-09-28 /pmc/articles/PMC7522237/ /pubmed/32985550 http://dx.doi.org/10.1038/s41598-020-72766-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Taddese, Bruck
Garnier, Antoine
Abdi, Hervé
Henrion, Daniel
Chabbert, Marie
Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations
title Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations
title_full Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations
title_fullStr Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations
title_full_unstemmed Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations
title_short Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations
title_sort deciphering collaborative sidechain motions in proteins during molecular dynamics simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522237/
https://www.ncbi.nlm.nih.gov/pubmed/32985550
http://dx.doi.org/10.1038/s41598-020-72766-1
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