Publication:
Molecular Docking as a Promising Predictive Model for Silver Nanoparticle-Mediated Inhibition of Cytochrome P450 Enzymes

dc.contributor.authorWasukan N.
dc.contributor.authorKuno M.
dc.contributor.authorManiratanachote R.
dc.date.accessioned2021-04-05T03:02:12Z
dc.date.available2021-04-05T03:02:12Z
dc.date.issued2019
dc.date.issuedBE2562
dc.description.abstractCytochrome P450 (CYP) enzymes are responsible for oxidative metabolisms of a large number of xenobiotics. In this study, we investigated interactions of silver nanoparticles (AgNPs) and silver ions (Ag+) with six CYP isoforms, namely, CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and CYP3A4, within CYP-specific inhibitor-binding pockets by molecular docking and quantum mechanical (QM) calculations. The docking results revealed that the Ag3 cluster, not Ag+, interacted with key amino acids of CYP2C9, CYP2C19, and CYP2D6 within a distance of about 3 Å. Moreover, the QM analysis confirmed that the amino acid residues of these CYP enzymes strongly interacted with the Ag3 cluster, providing more insight into the mechanism of the potential inhibition of CYP enzyme activities. Interestingly, these results are consistent with previous in vitro data indicating that AgNPs inhibited activities of CYP2C and CYP2D in rat liver microsomes. It is suggested that the Ag3 cluster is a minimal unit of AgNPs for in silico modeling. In summary, we demonstrated that molecular docking, together with QM analysis, is a promising tool to predict AgNP-mediated CYP inhibition. These methods are useful for deeper understanding of reaction mechanisms and could be used for other nanomaterials. © 2019 American Chemical Society.
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of Chemical Information and Modeling. Vol 59, No.12 (2019), p.5126-5134
dc.identifier.doi10.1021/acs.jcim.9b00572
dc.identifier.issn15499596
dc.identifier.other2-s2.0-85076392241
dc.identifier.urihttps://hdl.handle.net/20.500.14740/4991
dc.rights.holderScopus
dc.subject.otherAmino acids
dc.subject.otherBiochemistry
dc.subject.otherMetal ions
dc.subject.otherMetal nanoparticles
dc.subject.otherMolecular modeling
dc.subject.otherQuantum theory
dc.subject.otherSilver nanoparticles
dc.subject.otherAmino acid residues
dc.subject.otherCytochrome p450 enzymes
dc.subject.otherOxidative metabolism
dc.subject.otherPotential inhibition
dc.subject.otherPredictive modeling
dc.subject.otherRat liver microsomes
dc.subject.otherSilver nanoparticles (AgNps)
dc.subject.otherSpecific inhibitors
dc.subject.otherEnzyme inhibition
dc.subject.otherCytochrome P450
dc.subject.otherCytochrome P450 inhibitor
dc.subject.otherIsoenzyme
dc.subject.otherMetal nanoparticle
dc.subject.otherSilver
dc.subject.otherChemistry
dc.subject.otherMetabolism
dc.subject.otherMolecular docking
dc.subject.otherProtein conformation
dc.subject.otherThermodynamics
dc.subject.otherCytochrome P-450 Enzyme Inhibitors
dc.subject.otherCytochrome P-450 Enzyme System
dc.subject.otherIsoenzymes
dc.subject.otherMetal Nanoparticles
dc.subject.otherMolecular Docking Simulation
dc.subject.otherProtein Conformation
dc.subject.otherSilver
dc.subject.otherThermodynamics
dc.titleMolecular Docking as a Promising Predictive Model for Silver Nanoparticle-Mediated Inhibition of Cytochrome P450 Enzymes
dc.typeArticle
dspace.entity.typePublication
swu.datasource.scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076392241&doi=10.1021%2facs.jcim.9b00572&partnerID=40&md5=03136cba8976db45d3d72f419cb6d2e7

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