Abstract
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.
MeSH Terms
Algorithms
Crystallography, X-Ray
Enzymes/chemistry,metabolism
HIV Protease/chemistry,metabolism
Haloperidol/analogs & derivatives,chemistry,metabolism
Ligands
Methotrexate/chemistry,metabolism
Models, Genetic
Models, Molecular
Molecular Conformation
Phenolphthalein
Phenolphthaleins/chemistry,metabolism
Protein Conformation
Tetrahydrofolate Dehydrogenase/chemistry,metabolism
Thymidylate Synthase/chemistry,metabolism
Chemicals
Enzymes
Ligands
Phenolphthaleins
thioketal haloperidol
Phenolphthalein
Tetrahydrofolate Dehydrogenase
Thymidylate Synthase
HIV Protease
Haloperidol
Methotrexate
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Oshiro C M
Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco 94143-0446, USA.
Kuntz I D
Dixon J S
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