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Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors

Zika virus (ZIKV), one of the flaviviruses, has attracted worldwide attention since its large epidemics around Brazil. Association of ZIKV infection with microcephaly and neurological problems such as Guillain–Barré syndrome has prompted intensive pathological investigations. However, there is still...

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Autores principales: Zhu, Siyu, Zhang, Chaozai, Huang, Lina S., Zhang, Xing-Quan, Xu, Yan, Fang, Xiong, Zhou, Jiao, Wu, Meixian, Schooley, Robert T., Huang, Ziwei, An, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514826/
https://www.ncbi.nlm.nih.gov/pubmed/31013906
http://dx.doi.org/10.3390/molecules24081465
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author Zhu, Siyu
Zhang, Chaozai
Huang, Lina S.
Zhang, Xing-Quan
Xu, Yan
Fang, Xiong
Zhou, Jiao
Wu, Meixian
Schooley, Robert T.
Huang, Ziwei
An, Jing
author_facet Zhu, Siyu
Zhang, Chaozai
Huang, Lina S.
Zhang, Xing-Quan
Xu, Yan
Fang, Xiong
Zhou, Jiao
Wu, Meixian
Schooley, Robert T.
Huang, Ziwei
An, Jing
author_sort Zhu, Siyu
collection PubMed
description Zika virus (ZIKV), one of the flaviviruses, has attracted worldwide attention since its large epidemics around Brazil. Association of ZIKV infection with microcephaly and neurological problems such as Guillain–Barré syndrome has prompted intensive pathological investigations. However, there is still a long way to go on the discovery of effective anti-ZIKV therapeutics. In this study, an in silico screening of the National Cancer Institute (NCI) diversity set based on ZIKV NS3 helicase was performed using a molecular docking approach. Selected compounds with drug-like properties were subjected to cell-based antiviral assays resulting in the identification of two novel lead compounds (named Compounds 1 and 2). They inhibited ZIKV infection with IC(50) values at the micro-molar level (8.5 μM and 15.2 μM, respectively). Binding mode analysis, absolute binding free energy calculation, and structure–activity relationship studies of these two compounds revealed their possible interactions with ZIKV NS3 helicase, suggesting a mechanistic basis for further optimization. These two novel small molecules may represent new leads for the development of inhibitory drugs against ZIKV.
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spelling pubmed-65148262019-05-30 Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors Zhu, Siyu Zhang, Chaozai Huang, Lina S. Zhang, Xing-Quan Xu, Yan Fang, Xiong Zhou, Jiao Wu, Meixian Schooley, Robert T. Huang, Ziwei An, Jing Molecules Article Zika virus (ZIKV), one of the flaviviruses, has attracted worldwide attention since its large epidemics around Brazil. Association of ZIKV infection with microcephaly and neurological problems such as Guillain–Barré syndrome has prompted intensive pathological investigations. However, there is still a long way to go on the discovery of effective anti-ZIKV therapeutics. In this study, an in silico screening of the National Cancer Institute (NCI) diversity set based on ZIKV NS3 helicase was performed using a molecular docking approach. Selected compounds with drug-like properties were subjected to cell-based antiviral assays resulting in the identification of two novel lead compounds (named Compounds 1 and 2). They inhibited ZIKV infection with IC(50) values at the micro-molar level (8.5 μM and 15.2 μM, respectively). Binding mode analysis, absolute binding free energy calculation, and structure–activity relationship studies of these two compounds revealed their possible interactions with ZIKV NS3 helicase, suggesting a mechanistic basis for further optimization. These two novel small molecules may represent new leads for the development of inhibitory drugs against ZIKV. MDPI 2019-04-13 /pmc/articles/PMC6514826/ /pubmed/31013906 http://dx.doi.org/10.3390/molecules24081465 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhu, Siyu
Zhang, Chaozai
Huang, Lina S.
Zhang, Xing-Quan
Xu, Yan
Fang, Xiong
Zhou, Jiao
Wu, Meixian
Schooley, Robert T.
Huang, Ziwei
An, Jing
Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors
title Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors
title_full Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors
title_fullStr Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors
title_full_unstemmed Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors
title_short Discovery and Computational Analyses of Novel Small Molecule Zika Virus Inhibitors
title_sort discovery and computational analyses of novel small molecule zika virus inhibitors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514826/
https://www.ncbi.nlm.nih.gov/pubmed/31013906
http://dx.doi.org/10.3390/molecules24081465
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