Evidence map›Paper›PMID 29297305›Full record

ArticleBMC bioinformatics2017

Pharmacophore anchor models of flaviviral NS3 proteases lead to drug repurposing for DENV infection.

Nikhil Pathak, Mei-Ling Lai, Wen-Yu Chen, Betty-Wu Hsieh, Guann-Yi Yu, Jinn-Moon Yang

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Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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  11. A bioinformatics potpourri.BMC genomics · 2018
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nikhil PathakTIGP-Bioinformatics, Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan.
Mei-Ling LaiNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, 35053, Taiwan.
Wen-Yu ChenGraduate Institute of Immunology, National Taiwan University- College of Medicine, Taipei, 10617, Taiwan.
Betty-Wu HsiehGraduate Institute of Immunology, National Taiwan University- College of Medicine, Taipei, 10617, Taiwan.
Guann-Yi YuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, 35053, Taiwan.
Jinn-Moon YangTIGP-Bioinformatics, Institute of Information Science, Academia Sinica, Taipei, 115, Taiwan. moon@faculty.nctu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViruses 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).

resultsFor 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 EC

conclusionThese 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.

Indexed as

Dengue VirusDrug RepositioningFlavivirusHumansPeptide HydrolasesPeptide HydrolasesCore and specific anchorsDENV NS3 proteaseFlaviviral NS3 proteasesIntegrated anchor-based virtual screeningPharmacophore anchor models

Identifiers

PMID29297305
PMCPMC5751397

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