• DocumentCode
    2625978
  • Title

    Computational Identification of Interaction Motifs in Hepatitis C Virus NS5A and Human Proteins

  • Author

    Zhang, Guang-Zheng ; Han, Kyungsook

  • Author_Institution
    Inha Univ., Incheon
  • fYear
    2007
  • fDate
    21-23 Nov. 2007
  • Firstpage
    885
  • Lastpage
    884
  • Abstract
    Identifying binding motifs or critical sequence segments is a key step toward understanding the mechanism of interactions between hepatitis C virus (HCV) and host cell proteins, such as human proteins. In the present study, we found a pair of binding motifs, G185-L234 in HCV NS5A proteins and L-X(3,5)-E-[AEGNQST] in human proteins, which are considered to be a key determinant for the interactions between HCV NS5A and human proteins. The binding motif of human proteins often forms a full helix (H) or an extended strand-loop (EL) structure. We also found 3 highly conserved sequence segments in HCV NS5A, G185-D196, 7^216-^239, and S 414-8437, which are in good agreement with the experimental results of previous studies. These results are expected to prove helpful in the design of high-affinity molecules that target the binding sites of HCV NS5A and human proteins.
  • Keywords
    biology computing; cellular biophysics; microorganisms; molecular biophysics; proteins; NS5A protein; binding motif; computational identification; critical sequence segment; extended strand-loop structure; full helix structure; hepatitis C virus; high-affinity molecule; host cell protein; human protein; interaction motif; Animal structures; Bonding; Electronic mail; Guidelines; Humans; Information technology; Liver diseases; Pattern analysis; Protein engineering; RNA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence Information Technology, 2007. International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    0-7695-3038-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2007.67
  • Filename
    4420371