• DocumentCode
    3170953
  • Title

    Parallel evolution strategy for protein threading

  • Author

    Islam, Rafiqul ; Ngom, Alioune

  • Author_Institution
    Sch. of Comput. Sci., Windsor Univ., Ont., Canada
  • fYear
    2005
  • fDate
    7-11 Nov. 2005
  • Abstract
    The protein threading problem is the problem of determining the three-dimensional structure of a given but arbitrary protein sequence from a set of known structures of other proteins. This problem is known to be NP-hard and current computational approaches to threading are time-consuming and data-intensive. In this paper, we propose an evolution strategy for protein threading. We also developed two parallel approaches for fast threading. We have obtained at least better results than current comparable approaches, as well as significant reduction in execution time.
  • Keywords
    biology computing; computational complexity; evolutionary computation; molecular biophysics; parallel programming; proteins; 3D protein structure; NP-hard problem; parallel evolution strategy; protein sequence; protein threading; Amino acids; Bioinformatics; Computer science; Evolution (biology); Genomics; Humans; Laboratories; Nuclear magnetic resonance; Poles and towers; Protein sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chilean Computer Science Society, 2005. SCCC 2005. 25th International Conference of the
  • ISSN
    1522-4902
  • Print_ISBN
    0-7695-2491-5
  • Type

    conf

  • DOI
    10.1109/SCCC.2005.1587868
  • Filename
    1587868