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Flexible ligand docking using a genetic algorithm
Authors:C. M. Oshiro  I. D. Kuntz  J. Scott Dixon
Affiliation:(1) Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, 94143-0446 San Francisco, CA, U.S.A.;(2) Department of Physical and Structural Chemsitry, SmithKline Beecham Pharmaceuticals, P.O. Box 1539, 19406-0939 King of Prussia, PA, U.S.A.
Abstract:Summary Two computational techniques have been developed to explore the orientational and conformational space of a flexible ligand within an enzyme. Both methods use the Genetic Algorithm (GA) to generate conformationally flexible ligands in conjunction with algorithms from the DOCK suite of programs to characterize the receptor site. The methods are applied to three enzyme-ligand complexes: dihydrofolate reductase-methotrexate, thymidylate synthase-phenolpthalein and HIV protease-thioketal haloperidol. Conformations and orientations close to the crystallographically determined structures are obtained, as well as alternative structures with low energy. The potential for the GA method to screen a database of compounds is also examined. A collection of ligands is evaluated simultaneously, rather than docking the ligands individually into the enzyme.Abbreviations GA genetic algorithm; dhfr, dihydrofolate reductase - mtx methotrexate - ts thymidylate synthase - fen phenolphalein - HIV human immune deficiency virus - hivp HIV protease - thk thioketal haloperidol
Keywords:Genetic algorithm  DOCK  Flexible conformational search  Protein-ligand interactions  Dihydrofolate reductase  Thymidylate synthase  HIV protease
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