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 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.

• Publication year

  2016

• Venue

  Scientific Reports

• Publication date

  2016-05-20

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1038/srep26401PMID 27198619PMCID 4873791
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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