Publication | Open Access
Computational modeling of human paraoxonase 1: preparation of protein models, binding studies, and mechanistic insights
22
Citations
50
References
2010
Year
Crystal StructureAldo-keto ReductaseBiomolecular Structure PredictionMolecular BiologyChemical BiologyProtein ModelsRedox BiologyProtein FoldingStructure-function Enzyme KineticsProteomicsProtein ChemistryBiochemistryBiochemical InteractionProtein ModelingProtein Structure PredictionComputational ModelingStructural BiologyCellular EnzymologyNatural SciencesEnzyme CatalysisEnzyme SpecificityProtein EngineeringHuman Paraoxonase 1MedicineHomology Model
The enzyme human paraoxonase 1 (huPON1) has demonstrated significant potential for use as a bioscavenger for treatment of exposure to organophosphorus (OP) nerve agents. Herein we report the development of protein models for the human isoform derived from a crystal structure of a chimeric version of the protein (pdb ID: 1V04) and a homology model derived from the related enzyme diisopropylfluorophosphatase (pdb ID: 1XHR). From these structural models, binding modes for OP substrates are predicted, and these poses are found to orient substrates in proximity to residues known to modulate specificity of the enzyme. Predictions are made with regard to the role that residues play in altering substrate binding and turnover, in particular with regard to the stereoselectivity of the enzyme, and the known differences in activity related to a natural polymorphism in the enzyme. Potential mechanisms of action of the protein for catalytic hydrolysis of OP substrates are also evaluated in light of the proposed binding modes.
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