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Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins
A novel computational approach of coevolution analysis allowed us to reconstruct the protein-protein interaction network of the Hepatitis C Virus (HCV) at the residue resolution. For the first time, coevolution analysis of an entire viral genome was realized, based on a limited set of protein sequen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873791/ https://www.ncbi.nlm.nih.gov/pubmed/27198619 http://dx.doi.org/10.1038/srep26401 |
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author | Champeimont, Raphaël Laine, Elodie Hu, Shuang-Wei Penin, Francois Carbone, Alessandra |
author_facet | Champeimont, Raphaël Laine, Elodie Hu, Shuang-Wei Penin, Francois Carbone, Alessandra |
author_sort | Champeimont, Raphaël |
collection | PubMed |
description | A novel computational approach of coevolution analysis allowed us to reconstruct the protein-protein interaction network of the Hepatitis C Virus (HCV) at the residue resolution. For the first time, coevolution analysis of an entire viral genome was realized, based on a limited set of protein sequences with high sequence identity within genotypes. The identified coevolving residues constitute highly relevant predictions of protein-protein interactions for further experimental identification of HCV protein complexes. The method can be used to analyse other viral genomes and to predict the associated protein interaction networks. |
format | Online Article Text |
id | pubmed-4873791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48737912016-06-02 Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins Champeimont, Raphaël Laine, Elodie Hu, Shuang-Wei Penin, Francois Carbone, Alessandra Sci Rep Article A novel computational approach of coevolution analysis allowed us to reconstruct the protein-protein interaction network of the Hepatitis C Virus (HCV) at the residue resolution. For the first time, coevolution analysis of an entire viral genome was realized, based on a limited set of protein sequences with high sequence identity within genotypes. The identified coevolving residues constitute highly relevant predictions of protein-protein interactions for further experimental identification of HCV protein complexes. The method can be used to analyse other viral genomes and to predict the associated protein interaction networks. Nature Publishing Group 2016-05-20 /pmc/articles/PMC4873791/ /pubmed/27198619 http://dx.doi.org/10.1038/srep26401 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Champeimont, Raphaël Laine, Elodie Hu, Shuang-Wei Penin, Francois Carbone, Alessandra Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins |
title | Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins |
title_full | Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins |
title_fullStr | Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins |
title_full_unstemmed | Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins |
title_short | Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins |
title_sort | coevolution analysis of hepatitis c virus genome to identify the structural and functional dependency network of viral proteins |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873791/ https://www.ncbi.nlm.nih.gov/pubmed/27198619 http://dx.doi.org/10.1038/srep26401 |
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