• DocumentCode
    2329764
  • Title

    A dynamic graph to fold amino acid interaction networks

  • Author

    Gaci, Omar

  • Author_Institution
    LITIS Lab., Le Havre Univ., Le Havre, France
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we present a means 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. Our approach consists in exploiting the parallel between topological and structural properties. Thus, we establish a relation between the sequence and the structure relying on topological criteria. To fold this type of graph, we limit the topological space and we exploit an ant colony approach. We consider those graphs as dynamic graphs so that we can observe gradually the graph properties during the folding process.
  • Keywords
    biocomputing; graph theory; macromolecules; optimisation; proteins; ant colony approach; dynamic graph; fold amino acid interaction networks; protein amino acids; topological criteria; Amino acids; Arrays; Genomics; Prediction algorithms; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586261
  • Filename
    5586261