In Silico Investigation of a HIV‐1 Vpr Inhibitor Binding Site: Potential for Virtual Screening and anti‐HIV Drug Design. Issue 11 (25th November 2014)

• Record Type: Journal Article
• Authors: Choi, Sy Bing; Choong, Yee Siew; Saito, Akiko; Wahab, Habibah A.; Najimudin, Nazalan; Watanabe, Nobumoto; Osada, Hiroyuki; Ong, Eugene Boon Beng
• Is Part Of: Molecular informatics. Volume 33:Issue 11/12(2014)
• Page Start: 742
• Page End: 748
• Publication Date: 2014-11-25
• Subjects: HIV -- Vpr -- SAR -- Docking -- Coumarin; Cheminformatics -- Periodicals; QSAR (Biochemistry) -- Periodicals; Structure-activity relationships (Biochemistry) -- Periodicals; Drugs -- Structure-activity relationships -- Periodicals; 615.19
• DOI: 10.1002/minf.201400080
• Languages: English
• ISSNs: 1868-1743

Abstract

Abstract: Present HIV antiviral therapy only targets structural proteins of HIV, but evidence shows that the targeting of accessory proteins will expand our options in combating HIV. HIV‐1 Vpr, a multifunctional accessory protein involved in viral infection, replication and pathogenesis, is a potential target. Previously, we have shown that phenyl coumarin compounds can inhibit the growth arrest activity of Vpr in host cells and predicted that the inhibitors' binding site is a hydrophobic pocket on Vpr. To investigate our prediction of the inhibitors' binding site, we docked the coumarin inhibitors into the predicted hydrophobic binding pocket on a built model of Vpr and observed a linear trend between their calculated binding energies and prior experimentally determined potencies. Subsequently, to analyze the inhibitor‐protein binding interactions in detail, we built homology models of Vpr mutants and performed docking studies on these models too. The results revealed that structural changes on the binding pocket that were caused by the mutations affected inhibitor binding. Overall, this study showed that the binding energies of the docked molecules are good indicators of the activity of the inhibitors. Thus, the model can be used in virtual screening to identify other Vpr inhibitors and for designing more potent inhibitors. Abstract :