• DocumentCode
    2995075
  • Title

    Study of fitness landscapes for the HP model of protein structure prediction

  • Author

    Flores, Susana Duarte ; Smith, Jim

  • Author_Institution
    Fac. of Comput., Eng., & Math. Sci., West of England Univ., Bristol, UK
  • Volume
    4
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    2338
  • Abstract
    We present results from analyses of fitness landscapes of the HP model of protein structure prediction problems. The work concentrates on those issues that are likely to impact on the effectiveness of evolutionary search of those landscapes, such as massive multimodality, degeneracy, and the presence of large regions corresponding to physically infeasible solutions. In the light of previous researcher´s experience, and of our experimental results, we conclude by suggesting some characteristics that successful operators and parameters should possess.
  • Keywords
    biology computing; genetic algorithms; proteins; HP model; evolutionary search; fitness landscape; massive multimodality; protein structure prediction problem; Amino acids; Biological system modeling; Chemical processes; Hydrogen; Organisms; Peptides; Predictive models; Protein engineering; Sequences; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299380
  • Filename
    1299380