• DocumentCode
    3177792
  • Title

    How to Fold Amino Acid Interaction Networks by Computational Intelligence Methods

  • Author

    Gaci, Omar

  • Author_Institution
    LITIS Lab., Le Havre Univ., Le Havre, France
  • fYear
    2010
  • fDate
    May 31 2010-June 3 2010
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    In this paper we present the main steps to fold amino acid interaction networks. This is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. We begin by summarize relative works about this type of graphs to describe their topological properties. Then, we propose a genetic algorithm which reconstructs the secondary structure motifs. We continue our folding process with an ant colony approach. We guide the ant system to the tertiary structure relying on a probability that two amino acids interact as a function of their physico-chemical properties.
  • Keywords
    biochemistry; bioinformatics; genetic algorithms; genetics; genomics; graph theory; proteins; proteomics; amino acid interaction networks; ant colony approach; computational intelligence methods; folding process; genetic algorithm; genome sequencing; graph; physico-chemical properties; proteins; secondary structure motifs; tertiary structure; topological properties; vertices; Amino acids; Bioinformatics; Biological information theory; Biomedical engineering; Computational intelligence; Genetic algorithms; Genomics; Humans; Laboratories; Proteins; ant colony; genetic algorithm; interaction networks; protein structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4244-7494-3
  • Type

    conf

  • DOI
    10.1109/BIBE.2010.33
  • Filename
    5521697