• DocumentCode
    1747767
  • Title

    Integrating adaptive mutations and family competition with differential evolution for flexible ligand docking

  • Author

    Yang, Jinn-Moon ; Horng, Jorng-Tzong ; Kao, Cheng-Yan

  • Author_Institution
    Dept. of Manage., Training Inst., Taipei, Taiwan
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    473
  • Abstract
    A flexible ligand docking protocol based on evolutionary algorithms is investigated. The proposed approach integrates decreasing-based mutations and self-adaptive mutations with differential evolution. This approach possesses global and local search strategies to balance the trade-off between exploitation and exploration of the search. The proposed approach is applied to a dihydrofolate reductase enzyme with the anti-cancer drug methotrexate and two analogues of antibacterial drug trimethoprim. Numerical results indicate that the new approach is very robust
  • Keywords
    biology computing; evolutionary computation; molecular biophysics; proteins; search problems; decreasing-based mutations; differential evolution; dihydrofolate reductase enzyme; evolutionary algorithms; family competition; flexible ligand docking protocol; global search strategies; local search strategies; methotrexate anti-cancer drug; search exploitation; search exploration; self-adaptive mutations; trimethoprim antibacterial drug; Computer science; Dielectric constant; Drugs; Electrostatics; Evolutionary computation; Genetic mutations; Management training; Optimization methods; Simulated annealing; Solvents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7803-6657-3
  • Type

    conf

  • DOI
    10.1109/CEC.2001.934429
  • Filename
    934429