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