• DocumentCode
    2370048
  • Title

    Node degree distribution in amino acid interaction networks

  • Author

    Gaci, Omar ; Balev, Stefan

  • Author_Institution
    LITIS Lab., Le Havre Univ., Le Havre, France
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    A protein interaction network 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 study the properties of these networks. In particular, we are interested in the degree distribution and mean degree of the vertices. The results presented in this paper constitute the first steps of a new network approach to the protein folding problem.
  • Keywords
    graph theory; molecular configurations; network theory (graphs); proteomics; amino acid interaction networks; graph edges; graph theory; graph vertex degree distribution; graph vertices; mean graph vertex degree; network approach; node degree distribution; protein amino acid interactions; protein amino acids; protein folding problem; protein interaction network; Amino acids; Biochemistry; Bioinformatics; Genomics; Graph theory; Laboratories; Molecular biophysics; Organisms; Proteins; Sequences; interaction network; protein structure; scale-free network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-5121-0
  • Type

    conf

  • DOI
    10.1109/BIBMW.2009.5332113
  • Filename
    5332113