基于对接的虚拟筛选发现天然化合物作为SARS-CoV-2的主要蛋白酶抑制剂

Hui Yu, Zhanli Wang, Jing Wang, Yu Jiang, Yingnan Wu, Yuheng Ma
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摘要

新型冠状病毒病(COVID-19)是由严重急性呼吸综合征冠状病毒2 (SAR-CoV-2)引起的病毒性疾病。抗病毒药物的开发加强了COVID-19的治疗。SARS-CoV-2主蛋白酶(Mpro)是负责病毒复制和转录的关键酶。本研究旨在为SARS-CoV-2Mpro抑制剂的设计寻找新的天然结构。本文对CDOCKER协议和评分函数进行了验证。然后采用验证的基于对接的虚拟筛选方法在内部天然化合物数据库中搜索作为SARS-CoV-2 Mpro抑制剂的潜在先导化合物。对前3个化合物进行体外生物学评价。已知配体GC-376的对接研究结果与共结晶数据一致(PDB ID: 7D1M)。此外,使用由15个活性化合物和15个非活性化合物组成的训练集验证了对接评分函数的有效性。然后,对内部天然化合物数据库(总共34,439种天然化合物)进行基于对接的虚拟筛选,最终确定出对接分数相对较高的前100种化合物。其中,W-1、W-2和W-3对3个化合物的体外抑制活性进行了生物评价,化合物W-1的IC50值为63±3 μM,是抑制SARS-CoV-2 Mpro活性最强的化合物。有趣的是,化合物W-1、W-2和W-3的体外活性似乎与它们的分子模型数据一致。本研究结果为通过虚拟筛选发现新型天然SARS-CoV-2 Mproinhibitors提供了有益的参考。
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Discovery of Natural Compounds As SARS-CoV-2’s Main Protease Inhibitors by Docking-based Virtual Screening
The novel coronavirus disease (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SAR-CoV-2). The development of antiviral drugs has enhaced treatment of COVID-19. SARS-CoV-2 main protease (Mpro) is a key enzyme responsible for viral replication and transcription. This study aimed to identify new natural structures for the design of SARS-CoV-2 Mpro inhibitors. In this present work, The CDOCKER protocol and scoring functions were validated. The validated docking-based virtual screening approach was then employed to search the in-house database of natural compounds for potential lead compounds as SARS-CoV-2 Mpro inhibitors. The top 3 compounds were further biologically evaluated in vitro. Docking studies of the known ligand GC-376 led to results consistent with cocrystallized data (PDB ID: 7D1M). Additionally, the effectiveness of docking scoring functions was validated by using the training set consisting of 15 active compounds and 15 inactive compounds. Then, the in-house database of natural compounds (overall 34,439 natural compounds) was subjected to dockingbased virtual screening resulting in the identification of the top 100 compounds having relatively better docking scores. Among them, the highest ranking 3 compounds (W-1, W-2, and W-3) were biologically evaluated in vitro for their inhibitory activity against SARS-CoV-2 Mpro, and compound W-1 was identified as the most potent SARS-CoV-2 Mpro inhibitor with an IC50 value of 63 ± 3 μM. Interestingly, it appeared that the in vitro activities of compounds W-1, W-2, and W-3 were in agreement with their molecular modeling data. Our results provided a useful reference for the discovery of novel natural SARS-CoV-2 Mpro inhibitors by virtual screening.
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