• DocumentCode
    3215802
  • Title

    Ant colony approach to predict amino acid interaction networks

  • Author

    Gaci, Omar ; Balev, Stefan

  • Author_Institution
    LITIS Lab., Le Havre Univ., Le Havre, France
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    1725
  • Lastpage
    1730
  • Abstract
    In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. We consider the problem of reconstructing protein´s interaction network from its amino acid sequence. An ant colony approach is used to solve this problem.
  • Keywords
    macromolecules; optimisation; proteins; amino acid interaction networks; amino acid sequence; ant colony approach; biological macromolecules; protein interaction network reconstruction problem; Amino acids; Biochemistry; Bioinformatics; Chemical processes; Genomics; Laboratories; Molecular biophysics; Organisms; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5053-4
  • Type

    conf

  • DOI
    10.1109/NABIC.2009.5393624
  • Filename
    5393624