High-Performance Computing-Medical and Bioinformatics Applications Group, Centre for Development of Advanced Computing (C-DAC), Panchavati, Pashan, Pune, India.
J Biomol Struct Dyn. 2021 Sep;39(15):5735-5755. doi: 10.1080/07391102.2020.1792344. Epub 2020 Jul 17.
The COVID-19 pandemic has been responsible for several deaths worldwide. The causative agent behind this disease is the Severe Acute Respiratory Syndrome - novel Coronavirus 2 (SARS-CoV-2). SARS-CoV-2 belongs to the category of RNA viruses. The main protease, responsible for the cleavage of the viral polyprotein is considered as one of the hot targets for treating COVID-19. Earlier reports suggest the use of HIV anti-viral drugs for targeting the main protease of SARS-CoV, which caused SARS in the year 2002-2003. Hence, drug repurposing approach may prove to be useful in targeting the main protease of SARS-CoV-2. The high-resolution crystal structure of the main protease of SARS-CoV-2 (PDB ID: 6LU7) was used as the target. The Food and Drug Administration approved and SWEETLEAD database of drug molecules were screened. The apo form of the main protease was simulated for a cumulative of 150 ns and 10 μs open-source simulation data was used, to obtain conformations for ensemble docking. The representative structures for docking were selected using RMSD-based clustering and Markov State Modeling analysis. This ensemble docking approach for the main protease helped in exploring the conformational variation in the drug-binding site of the main protease leading to the efficient binding of more relevant drug molecules. The drugs obtained as top hits from the ensemble docking possessed anti-bacterial and anti-viral properties. This ensemble docking approach would support the identification of potential candidates for repurposing against COVID-19.Communicated by Ramaswamy H. Sarma.
COVID-19 大流行已在全球范围内造成数人死亡。导致这种疾病的病原体是严重急性呼吸系统综合症 - 新型冠状病毒 2(SARS-CoV-2)。SARS-CoV-2 属于 RNA 病毒类别。负责病毒多蛋白切割的主要蛋白酶被认为是治疗 COVID-19 的热门靶点之一。早期的报告表明,使用 HIV 抗病毒药物靶向导致 2002-2003 年 SARS 的 SARS-CoV 的主要蛋白酶。因此,药物再利用方法可能有助于靶向 SARS-CoV-2 的主要蛋白酶。使用了 SARS-CoV-2 主要蛋白酶的高分辨率晶体结构(PDB ID:6LU7)作为靶标。筛选了获得美国食品和药物管理局批准的和 SWEETLEAD 药物分子数据库。对主要蛋白酶的 apo 形式进行了总计 150ns 的模拟,并使用了 10μs 的开源模拟数据,以获得用于整体对接的构象。使用基于 RMSD 的聚类和 Markov 状态建模分析选择代表性结构进行对接。这种针对主要蛋白酶的整体对接方法有助于探索主要蛋白酶的药物结合部位的构象变化,从而有效地结合更多相关的药物分子。从整体对接中获得的排名靠前的药物具有抗菌和抗病毒特性。这种整体对接方法将支持鉴定针对 COVID-19 的重新利用的潜在候选药物。由 Ramaswamy H. Sarma 传达。