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Low-resolution description of the conformational space for intrinsically disordered proteins
Intrinsically disordered proteins (IDP) are at the center of numerous biological processes, and attract consequently extreme interest in structural biology. Numerous approaches have been developed for generating sets of IDP conformations verifying a given set of experimental measurements. We propose...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646904/ https://www.ncbi.nlm.nih.gov/pubmed/36352011 http://dx.doi.org/10.1038/s41598-022-21648-9 |
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author | Förster, Daniel Idier, Jérôme Liberti, Leo Mucherino, Antonio Lin, Jung-Hsin Malliavin, Thérèse E. |
author_facet | Förster, Daniel Idier, Jérôme Liberti, Leo Mucherino, Antonio Lin, Jung-Hsin Malliavin, Thérèse E. |
author_sort | Förster, Daniel |
collection | PubMed |
description | Intrinsically disordered proteins (IDP) are at the center of numerous biological processes, and attract consequently extreme interest in structural biology. Numerous approaches have been developed for generating sets of IDP conformations verifying a given set of experimental measurements. We propose here to perform a systematic enumeration of protein conformations, carried out using the TAiBP approach based on distance geometry. This enumeration was performed on two proteins, Sic1 and pSic1, corresponding to unphosphorylated and phosphorylated states of an IDP. The relative populations of the obtained conformations were then obtained by fitting SAXS curves as well as Ramachandran probability maps, the original finite mixture approach RamaMix being developed for this second task. The similarity between profiles of local gyration radii provides to a certain extent a converged view of the Sic1 and pSic1 conformational space. Profiles and populations are thus proposed for describing IDP conformations. Different variations of the resulting gyration radius between phosphorylated and unphosphorylated states are observed, depending on the set of enumerated conformations as well as on the methods used for obtaining the populations. |
format | Online Article Text |
id | pubmed-9646904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96469042022-11-15 Low-resolution description of the conformational space for intrinsically disordered proteins Förster, Daniel Idier, Jérôme Liberti, Leo Mucherino, Antonio Lin, Jung-Hsin Malliavin, Thérèse E. Sci Rep Article Intrinsically disordered proteins (IDP) are at the center of numerous biological processes, and attract consequently extreme interest in structural biology. Numerous approaches have been developed for generating sets of IDP conformations verifying a given set of experimental measurements. We propose here to perform a systematic enumeration of protein conformations, carried out using the TAiBP approach based on distance geometry. This enumeration was performed on two proteins, Sic1 and pSic1, corresponding to unphosphorylated and phosphorylated states of an IDP. The relative populations of the obtained conformations were then obtained by fitting SAXS curves as well as Ramachandran probability maps, the original finite mixture approach RamaMix being developed for this second task. The similarity between profiles of local gyration radii provides to a certain extent a converged view of the Sic1 and pSic1 conformational space. Profiles and populations are thus proposed for describing IDP conformations. Different variations of the resulting gyration radius between phosphorylated and unphosphorylated states are observed, depending on the set of enumerated conformations as well as on the methods used for obtaining the populations. Nature Publishing Group UK 2022-11-09 /pmc/articles/PMC9646904/ /pubmed/36352011 http://dx.doi.org/10.1038/s41598-022-21648-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Förster, Daniel Idier, Jérôme Liberti, Leo Mucherino, Antonio Lin, Jung-Hsin Malliavin, Thérèse E. Low-resolution description of the conformational space for intrinsically disordered proteins |
title | Low-resolution description of the conformational space for intrinsically disordered proteins |
title_full | Low-resolution description of the conformational space for intrinsically disordered proteins |
title_fullStr | Low-resolution description of the conformational space for intrinsically disordered proteins |
title_full_unstemmed | Low-resolution description of the conformational space for intrinsically disordered proteins |
title_short | Low-resolution description of the conformational space for intrinsically disordered proteins |
title_sort | low-resolution description of the conformational space for intrinsically disordered proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646904/ https://www.ncbi.nlm.nih.gov/pubmed/36352011 http://dx.doi.org/10.1038/s41598-022-21648-9 |
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