A family competition evolutionary algorithm for automated docking of flexible ligands to proteins.

We study an evolutionary algorithm for flexible ligand docking. Based on family competition and adaptive rules, the proposed approach consists of global and local strategies by integrating decreasing mutations and self-adaptive mutations. To demonstrate the robustness of the proposed approach, we ap...

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Bibliographic Details
Published in:	IEEE Transactions on information technology in biomedicine 4, 3 (2000).
Main Author:	Jinn-Moon Yang
Format:	Article
Language:	English
Subjects:	Antibacterial drug. Anticancer drug. Automated docking. Crystal structure. Decreasing mutations. Dihydrofolate reductase enzyme. Evolutionary optimization. Family competition evolutionary algorithm. Flexible ligand docking. Flexible ligands. Function optimization. Genetic algorithms. Methotrexate. Multiple mutations. Proteins. Rms derivations. Self-adaptive mutations. Trimethoprim.