• DocumentCode
    2514211
  • Title

    Network Parameters of Protein Structure and the Folding Rate

  • Author

    Li, Haiyan ; Wang, Jihua

  • Author_Institution
    Key Lab. of Biophys. in Universities of Shandong, Dezhou Univ., Dezhou, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A challenging task is to understand the relationship between sequences and folding rates of proteins. Previous studies found that one of contact order (CO), long-range order (LRO), and total contact distance (TCD) has a significant correlation with folding rate of protein. The network concept is increasingly used to describe the topology and dynamics of complex systems. In this paper, the protein structure is modeled as a network from three methods to calculate the contacts among residues and the three type networks (PCNs, LINs, SINs) are constructed to uncover the different influence of long-range and short-range interactions on two-state folding kinetics. The results show that the network parameters which contacts are calculated from the geometrical center of side chain have lower correlation with Inkf than the other two methods. Short-range interactions play a key role in determining the connecting trend among amino acids and influence directly the folding rate of two-state proteins.
  • Keywords
    correlation methods; molecular biophysics; proteins; amino acid; complex system dynamics; correlation method; network parameter; protein folding rate; protein sequences; protein structure; short-range interaction; side chain geometrical center; two-state folding kinetics; Amino acids; Complex networks; Educational institutions; Joining processes; Kinetic theory; Network topology; Personal communication networks; Proteins; Silicon compounds; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163100
  • Filename
    5163100