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dc.contributor.authorPathak, Nikhilen_US
dc.contributor.authorLai, Mei-Lingen_US
dc.contributor.authorChen, Wen-Yuen_US
dc.contributor.authorHsieh, Betty-Wuen_US
dc.contributor.authorYu, Guann-Yien_US
dc.contributor.authorYang, Jinn-Moonen_US
dc.date.accessioned2019-04-03T06:41:33Z-
dc.date.available2019-04-03T06:41:33Z-
dc.date.issued2017-12-28en_US
dc.identifier.issn1471-2105en_US
dc.identifier.urihttp://dx.doi.org/10.1186/s12859-017-1957-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/144297-
dc.description.abstractBackground: Viruses of the flaviviridae family are responsible for some of the major infectious viral diseases around the world and there is an urgent need for drug development for these diseases. Most of the virtual screening methods in flaviviral drug discovery suffer from a low hit rate, strain-specific efficacy differences, and susceptibility to resistance. It is because they often fail to capture the key pharmacological features of the target active site critical for protein function inhibition. So in our current work, for the flaviviral NS3 protease, we summarized the pharmacophore features at the protease active site as anchors (subsite-moiety interactions). Results: For each of the four flaviviral NS3 proteases (i.e., HCV, DENV, WNV, and JEV), the anchors were obtained and summarized into 'Pharmacophore anchor (PA) models'. To capture the conserved pharmacophore anchors across these proteases, were merged the four PA models. We identified five consensus core anchors (CEH1, CH3, CH7, CV1, CV3) in all PA models, represented as the "Core pharmacophore anchor (CPA) model" and also identified specific anchors unique to the PA models. Our PA/CPA models complied with 89 known NS3 protease inhibitors. Furthermore, we proposed an integrated anchor-based screening method using the anchors from our models for discovering inhibitors. This method was applied on the DENV NS3 protease to screen FDA drugs discovering boceprevir, telaprevir and asunaprevir as promising anti-DENV candidates. Experimental testing against DV2-NGC virus by in-vitro plaque assays showed that asunaprevir and telaprevir inhibited viral replication with EC50 values of 10.4 mu M & 24.5 mu M respectively. The structure-anchor-activity relationships (SAAR) showed that our PA/CPA model anchors explained the observed in-vitro activities of the candidates. Also, we observed that the CEH1 anchor engagement was critical for the activities of telaprevir and asunaprevir while the extent of inhibitor anchor occupation guided their efficacies. Conclusion: These results validate our NS3 protease PA/CPA models, anchors and the integrated anchor-based screening method to be useful in inhibitor discovery and lead optimization, thus accelerating flaviviral drug discovery.en_US
dc.language.isoen_USen_US
dc.subjectFlaviviral NS3 proteasesen_US
dc.subjectDENV NS3 proteaseen_US
dc.subjectPharmacophore anchor modelsen_US
dc.subjectCore and specific anchorsen_US
dc.subjectIntegrated anchor-based virtual screeningen_US
dc.titlePharmacophore anchor models of flaviviral NS3 proteases lead to drug repurposing for DENV infectionen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/s12859-017-1957-5en_US
dc.identifier.journalBMC BIOINFORMATICSen_US
dc.citation.volume18en_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:000418855300004en_US
dc.citation.woscount2en_US
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