Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783588135412695040 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7522237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT taddesebruck decipheringcollaborativesidechainmotionsinproteinsduringmoleculardynamicssimulations AT garnierantoine decipheringcollaborativesidechainmotionsinproteinsduringmoleculardynamicssimulations AT abdiherve decipheringcollaborativesidechainmotionsinproteinsduringmoleculardynamicssimulations AT henriondaniel decipheringcollaborativesidechainmotionsinproteinsduringmoleculardynamicssimulations AT chabbertmarie decipheringcollaborativesidechainmotionsinproteinsduringmoleculardynamicssimulations |