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  • 标题:Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins
  • 本地全文:下载
  • 作者:Raphaël Champeimont ; Elodie Laine ; Shuang-Wei Hu
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2016
  • 卷号:6
  • 期号:1
  • DOI:10.1038/srep26401
  • 语种:English
  • 出版社:Springer Nature
  • 摘要: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.
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