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10.1038/srep26401

http://scihub22266oqcxt.onion/10.1038/srep26401
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C4873791!4873791 !27198619
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suck abstract from ncbi


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pmid27198619
      Sci+Rep 2016 ; 6 (ä): 26401
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  • Coevolution analysis of Hepatitis C virus genome to identify the structural and functional dependency network of viral proteins #MMPMID27198619
  • Champeimont R ; Laine E ; Hu SW ; Penin F ; Carbone A
  • Sci Rep 2016[May]; 6 (ä): 26401 PMID27198619 show ga
  • 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.
  • |Base Sequence [MESH]
  • |Binding Sites [MESH]
  • |Computational Biology/*methods [MESH]
  • |Evolution, Molecular [MESH]
  • |Genome, Viral [MESH]
  • |Genotype [MESH]
  • |Hepacivirus/chemistry/*genetics/metabolism [MESH]
  • |Models, Molecular [MESH]
  • |Protein Binding [MESH]
  • |Protein Interaction Maps [MESH]


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