• DocumentCode
    1589636
  • Title

    Protein Conformational Search Using Bees Algorithm

  • Author

    Bahamish, Hesham Awadh A ; Abdullah, Rosni ; Salam, Rosalina Abdul

  • Author_Institution
    Sch. of Comput. Sci., Univ. Sains Malaysia, Penang
  • fYear
    2008
  • Firstpage
    911
  • Lastpage
    916
  • Abstract
    Proteins perform many biological functions in the human body. The structure of the protein determines its function. In order to predict the protein structure computationally, protein must be represented in a proper representation. To this end, an energy function is used to calculate its energy and a conformational search algorithm is used to search the conformational search space to find the lowest free energy conformation. In this paper, the Bees Algorithm, i.e. a Swarm Intelligence based algorithm inspired by the foraging behaviour of honey bees colony, is adapted to search the protein conformational search space. The algorithm was able to find the lowest free energy conformation of Met-enkephaline using ECEPP/2 force fields.
  • Keywords
    biology computing; proteins; search problems; ECEPP/2 force field; biological function; free energy conformation; honey bees colony; protein conformational search algorithm; protein structure prediction; swarm intelligence based algorithm; Amino acids; Computer science; Control charts; Humans; Insects; Neural networks; Nuclear magnetic resonance; Particle swarm optimization; Protein sequence; Testing; Bees Algorithm; Protein Conformation; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3136-6
  • Electronic_ISBN
    978-0-7695-3136-6
  • Type

    conf

  • DOI
    10.1109/AMS.2008.65
  • Filename
    4530597