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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6514826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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