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Potential anti-SARS-CoV-2 drug candidates identified through virtual screening of the ChEMBL database for compounds that target the main coronavirus protease.
FEBS Open Bio ( IF 2.6 ) Pub Date : 2020-05-29 , DOI: 10.1002/2211-5463.12875
Motonori Tsuji 1
Affiliation  

A novel coronavirus [severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), or 2019 novel coronavirus] has been identified as the pathogen of coronavirus disease 2019. The main protease (Mpro, also called 3‐chymotrypsin‐like protease) of SARS‐CoV‐2 is a potential target for treatment of COVID‐19. A Mpro homodimer structure suitable for docking simulations was prepared using a crystal structure (PDB ID: 6Y2G; resolution 2.20 Å). Structural refinement was performed in the presence of peptidomimetic α‐ketoamide inhibitors, which were previously disconnected from each Cys145 of the Mpro homodimer, and energy calculations were performed. Structure‐based virtual screenings were performed using the ChEMBL database. Through a total of 1 485 144 screenings, 64 potential drugs (11 approved, 14 clinical, and 39 preclinical drugs) were predicted to show high binding affinity with Mpro. Additional docking simulations for predicted compounds with high binding affinity with Mpro suggested that 28 bioactive compounds may have potential as effective anti‐SARS‐CoV‐2 drug candidates. The procedure used in this study is a possible strategy for discovering anti‐SARS‐CoV‐2 drugs from drug libraries that may significantly shorten the clinical development period with regard to drug repositioning.

中文翻译:

通过对ChEMBL数据库进行虚拟筛选,筛选出针对主要冠状病毒蛋白酶的化合物,从而确定了潜在的抗SARS-CoV-2候选药物。

一种新型冠状病毒[严重急性呼吸系统综合症冠状病毒2(SARS-CoV-2)或2019年新型冠状病毒]被鉴定为2019年冠状病毒病的病原体。主要蛋白酶(M pro,也称为3-胰凝乳蛋白酶样蛋白酶)。 SARS‐CoV‐2的治疗是治疗COVID‐19的潜在目标。AM同二聚体结构使用晶体结构,制备适合于对接模拟(PDB ID:6Y2G;分辨率2.20埃)。在存在拟肽α-酮酰胺抑制剂的情况下进行了结构改进,这些抑制剂先前已与M pro的每个Cys145断开连接均二聚体,并进行能量计算。使用ChEMBL数据库进行了基于结构的虚拟筛选。通过总共1 485 144次筛选,预测64种潜在药物(已批准11种,14种临床药物和39种临床前药物)显示出与M pro的高结合亲和力。对与M pro具有高结合亲和力的预测化合物的其他对接模拟表明,28种生物活性化合物可能具有作为抗SARS-CoV-2有效药物的潜力。本研究中使用的程序是从药物库中发现抗SARS-CoV-2药物的可能策略,这可能会大大缩短药物重新定位的临床开发时间。
更新日期:2020-05-29
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