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dc.contributor.authorPathak, Nikhilen_US
dc.contributor.authorKuo, Yi-Pingen_US
dc.contributor.authorChang, Teng-Yuanen_US
dc.contributor.authorHuang, Chin-Tingen_US
dc.contributor.authorHung, Hui-Chenen_US
dc.contributor.authorHsu, John Tsu-Anen_US
dc.contributor.authorYu, Guann-Yien_US
dc.contributor.authorYang, Jinn-Moonen_US
dc.date.accessioned2020-10-05T02:01:59Z-
dc.date.available2020-10-05T02:01:59Z-
dc.date.issued2020-06-02en_US
dc.identifier.issn2045-2322en_US
dc.identifier.urihttp://dx.doi.org/10.1038/s41598-020-65489-wen_US
dc.identifier.urihttp://hdl.handle.net/11536/155401-
dc.description.abstractZika virus (ZIKV) of the flaviviridae family, is the cause of emerging infections characterized by fever, Guillain-Barre syndrome (GBS) in adults and microcephaly in newborns. There exists an urgent unmet clinical need for anti-ZIKV drugs for the treatment of infected individuals. In the current work, we aimed at the promising virus drug target, ZIKV NS3 protease and constructed a Pharmacophore Anchor (PA) model for the active site. The PA model reveals a total of 12 anchors (E, H, V) mapped across the active site subpockets. We further identified five of these anchors to be critical core anchors (CEH1, CH3, CH7, CV1, CV3) conserved across flaviviral proteases. The ZIKV protease PA model was then applied in anchor-enhanced virtual screening yielding 14 potential antiviral candidates, which were tested by in vitro assays. We discovered FDA drugs Asunaprevir and Simeprevir to have potent anti-ZIKV activities with EC50 values 4.7 mu M and 0.4 mu M, inhibiting the viral protease with IC50 values 6.0 mu M and 2.6 mu M respectively. Additionally, the PA model anchors aided in the exploration of inhibitor binding mechanisms. In conclusion, our PA model serves as a promising guide map for ZIKV protease targeted drug discovery and the identified 'previr' FDA drugs are promising for anti-ZIKV treatments.en_US
dc.language.isoen_USen_US
dc.titleZika Virus NS3 Protease Pharmacophore Anchor Model and Drug Discoveryen_US
dc.typeArticleen_US
dc.identifier.doi10.1038/s41598-020-65489-wen_US
dc.identifier.journalSCIENTIFIC REPORTSen_US
dc.citation.volume10en_US
dc.citation.issue1en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000560796300019en_US
dc.citation.woscount0en_US
Appears in Collections:Articles