• DocumentCode
    2228335
  • Title

    TA-PFP: A Transgenetic Algorithm to Solve the Protein Folding Problem

  • Author

    Almeida, Carolina P. ; Goncalves, Richard A. ; Goldbarg, Marco C. ; Goldbarg, Elizabeth F G ; Delgado, Myriam R.

  • Author_Institution
    UNICENTRO, Rio Grande
  • fYear
    2007
  • fDate
    20-24 Oct. 2007
  • Firstpage
    163
  • Lastpage
    168
  • Abstract
    This work reports the application of a transgenetic algorithm to the protein folding problem in the 3D HP model, which is a particular instance of the string folding problem and is known to be NP-hard. The proposed algorithm uses two kinds of plasmids, two kinds of transposons, two information sources, adaptation of parameters and is hybridized with tabu search. The computational experiments consider seven instances of the Tortilla benchmark. The results are favorably comparable with that reported in the literature, attesting the efficiency of the methodology.
  • Keywords
    biology computing; computational complexity; genetic algorithms; proteins; search problems; 3D hydrophobic-polar model; NP-hard; Tortilla benchmark; plasmids; protein folding problem; string folding problem; tabu search; transgenetic algorithm; transposons; Amino acids; Biological cells; Biological system modeling; Biology computing; Chemical processes; Evolutionary computation; Intelligent systems; Lattices; Protein engineering; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-0-7695-2976-9
  • Type

    conf

  • DOI
    10.1109/ISDA.2007.131
  • Filename
    4389603