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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Bibliografische gegevens
Gepubliceerd in:	IEEE Transactions on information technology in biomedicine 4, 3 (2000).
Hoofdauteur:	Jinn-Moon Yang
Formaat:	Artikel
Taal:	English
Onderwerpen:	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.