Journal of Chemical Information and Modeling · 2006 · 128 citations · 23 references
PharmacyBioinformaticsMedicinal ChemistryDrug DesignDrug DiscoveryPharmacophore ModelingBinding Affinity PredictionDrug-receptor InteractionsLigand BindingProtein-ligand DockingReceptor ModelingStructure-based Pharmacophore ModelingBinding Pocket Pharmacophore ModelingPharmacophore Model ConstructionProtein Conformational ChangesProtein-ligand Complex ModelingProtein-ligand Complex StructureProtein-ligand Interaction Pharmacophore ModelsReceptor-based Pharmacophore GenerationTarget Protein Structure
A deriving pharmacophore model from the three-dimensional structure of a target protein provides helpful information for analyzing protein-ligand interactions and further improvement of ligand binding affinity. A standalone program, Pocket v.2, has been developed based on the original Pocket module in the de novo drug design program LigBuilder. Pocket v.2 is able to derive a pharmacophore model directly from a given protein-ligand complex structure without human intervention. Key features in the pharmacophore model are automatically reduced to a reasonable number. Pocket v.2 has been applied to several case studies, including cyclin dependent kinase 2, HIV-1 protease, estrogen receptor, and 17beta-hydroxysteroid dehydrogenase. It well reproduced previously published pharmacophore models in all of these cases. One notable feature of Pocket v.2 is that it can tolerate minor conformational changes on the protein side upon binding of different ligands to give a consistent pharmacophore model. For different proteins accommodating the same ligand, Pocket v.2 gives similar pharmacophore models, which opens the possibility to classify proteins with their binding features.
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