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
Link To Document :
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