• DocumentCode
    1971120
  • Title

    Hubs identification in amino acids interaction networks

  • Author

    Gaci, Omar ; Balev, Stefan

  • Author_Institution
    Univ. du Havre, Le Havre
  • fYear
    2009
  • fDate
    10-13 May 2009
  • Firstpage
    96
  • Lastpage
    102
  • Abstract
    In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein´s amino acids and whose edges are the interactions between them. Using a graph theory approach, we identify a number of properties of these networks. We compare them to the general scale-free network model and we analyze the existence of nodes with a high interaction level.
  • Keywords
    biology computing; graph theory; proteins; amino acids interaction networks; graph theory approach; hubs identification; protein interaction network; scale-free network model; Amino acids; Biochemistry; Bioinformatics; Genomics; Graph theory; Hydrogen; Molecular biophysics; Organisms; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on
  • Conference_Location
    Rabat
  • Print_ISBN
    978-1-4244-3807-5
  • Electronic_ISBN
    978-1-4244-3806-8
  • Type

    conf

  • DOI
    10.1109/AICCSA.2009.5069310
  • Filename
    5069310