• DocumentCode
    3111729
  • Title

    SubSS: A Protein-Protein Interaction Detection Tool

  • Author

    Zaki, Nazar ; Deris, Safaai ; Alwahaishi, Saleh

  • Author_Institution
    UAE Univ., Al Ain
  • fYear
    2007
  • fDate
    11-13 July 2007
  • Firstpage
    999
  • Lastpage
    1004
  • Abstract
    Many essential cellular processes are mediated by protein-protein interaction the reason why predicting protein-protein interaction has recently received considerable attention from biologist around the globe. In this paper, we present a computational tool for detecting protein-protein interaction based on substring similarity measure. Two proteins may interact by the mean of the similarities of the substrings they contain. This friendly and easy to use tool helps biologist to distinguish between high confidence interactions from low confidence or unknown interactions. The tool performance is tested on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, and it delivered considerable improvement over the existing techniques.
  • Keywords
    biology computing; cellular biophysics; microorganisms; molecular biophysics; proteins; cellular process; computational biology; protein-protein interaction detection; substring similarity measure; yeast Saccharomyces cerevisiae; Amino acids; Biology computing; Computer science; Educational institutions; Information systems; Information technology; Proteins; Sequences; Tellurium; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    0-7695-2841-4
  • Type

    conf

  • DOI
    10.1109/ICIS.2007.175
  • Filename
    4276514