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通过整合虚拟筛选方法发现具有抗病毒活性的寨卡病毒 NS2B-NS3 抑制剂。

The discovery of Zika virus NS2B-NS3 inhibitors with antiviral activity via an integrated virtual screening approach.

机构信息

KU Leuven, Rega Institute for Medical Research, Department of Pharmaceutical and Pharmacological Sciences, Medicinal Chemistry, Herestraat 49, box 1041, Leuven 3000, Belgium; Department of Chemistry and Biochemistry, University of Windsor, Windsor N9B 3P4, ON, Canada.

Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Pharmacy, Åbo Akademi University, FI-20520 Turku, Finland; Structural Bioinformatics Laboratory, Faculty of Science and Engineering, Biochemistry, Åbo Akademi University, FI-20520 Turku, Finland.

出版信息

Eur J Pharm Sci. 2022 Aug 1;175:106220. doi: 10.1016/j.ejps.2022.106220. Epub 2022 May 23.

Abstract

With expanding recent outbreaks and a lack of treatment options, the Zika virus (ZIKV) poses a severe health concern. The availability of ZIKV NS2B-NS3 co-crystallized structures paved the way for rational drug discovery. A computer-aided structure-based approach was used to screen a diverse library of compounds against ZIKV NS2B-NS3 protease. The top hits were selected based on various binding free energy calculations followed by per-residue decomposition analysis. The selected hits were then evaluated for their biological potential with ZIKV protease inhibition assay and antiviral activity. Among 26 selected compounds, 8 compounds showed promising activity against ZIKV protease with a percentage inhibition of greater than 25 and 3 compounds displayed ∼50% at 10 µM, which indicates an enrichment rate of approximately 36% (threshold IC < 10 µM) in the ZIKV-NS2B-NS3 protease inhibition assay. Of these, only one compound (23) produced whole-cell anti-ZIKV activity, and the binding mode of 23 was extensively analyzed through long-run molecular dynamics simulations. The current study provides a promising starting point for the further development of novel compounds against ZIKV.

摘要

随着最近疫情的爆发和缺乏治疗选择,寨卡病毒(ZIKV)构成了严重的健康威胁。ZIKV NS2B-NS3 共结晶结构的可用性为合理的药物发现铺平了道路。使用计算机辅助结构的方法筛选了针对 ZIKV NS2B-NS3 蛋白酶的多样化化合物库。根据各种结合自由能计算选择了顶级命中物,然后进行残基分解分析。然后,根据 ZIKV 蛋白酶抑制测定和抗病毒活性评估所选命中物的生物潜力。在 26 种选定的化合物中,有 8 种化合物对 ZIKV 蛋白酶表现出有希望的活性,抑制率大于 25%,有 3 种化合物在 10 µM 时显示出约 50%的活性,这表明在 ZIKV-NS2B-NS3 蛋白酶抑制测定中富集率约为 36%(阈值 IC < 10 µM)。其中,只有一种化合物(23)产生了全细胞抗 ZIKV 活性,并且通过长时间的分子动力学模拟对 23 的结合模式进行了广泛分析。本研究为进一步开发针对 ZIKV 的新型化合物提供了一个有希望的起点。

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