Aghaee Elham, Ghodrati Marzieh, Ghasemi Jahan B
Drug Design in Silico Lab, Chemistry Faculty, School of Sciences, University of Tehran, Tehran, Iran.
Department of Neurology, Faculty of Medicine, Qom University of Medical Sciences, Qom, Iran.
Inform Med Unlocked. 2021;23:100516. doi: 10.1016/j.imu.2021.100516. Epub 2021 Jan 12.
The spread of SARS-CoV-2 has affected human health globally. Hence, it is necessary to rapidly find the drug-candidates that can be used to treat the infection. Since the main protease (M) is the key protein in the virus's life cycle, M is served as one of the critical targets of antiviral treatment. We employed virtual screening tools to search for new inhibitors to accelerate the drug discovery process. The hit compounds were subsequently docked into the active site of SARS-CoV-2 main protease and ranked by their binding energy. Furthermore, in-silico ADME studies were performed to probe for adoption with the standard ranges. Finally, molecular dynamics simulations were applied to study the protein-drug complex's fluctuation over time in an aqueous medium. This study indicates that the interaction energy of the top ten retrieved compounds with COVID-19 main protease is much higher than the interaction energy of some currently in use protease drugs such as ML188, nelfinavir, lopinavir, ritonavir, and α-ketoamide. Among the discovered compounds, Pubchem44326934 showed druglike properties and was further analyzed by MD and MM/PBSA approaches. Besides, the constant binding free energy over MD trajectories suggests a probable drug possessing antiviral properties. MD simulations demonstrate that GLU166 and GLN189 are the most important residues of M which interact with inhibitors.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的传播已在全球范围内影响人类健康。因此,有必要迅速找到可用于治疗该感染的候选药物。由于主要蛋白酶(M)是病毒生命周期中的关键蛋白,它是抗病毒治疗的关键靶点之一。我们利用虚拟筛选工具寻找新的抑制剂,以加速药物发现过程。随后将命中的化合物对接至SARS-CoV-2主要蛋白酶的活性位点,并根据其结合能进行排序。此外,还进行了计算机辅助的药物代谢及药物动力学(ADME)研究,以探究其是否符合标准范围。最后,应用分子动力学模拟来研究蛋白质-药物复合物在水介质中随时间的波动情况。本研究表明,前十种检索到的化合物与新型冠状病毒肺炎(COVID-19)主要蛋白酶的相互作用能远高于一些目前正在使用的蛋白酶药物,如ML188、奈非那韦、洛匹那韦、利托那韦和α-酮酰胺的相互作用能。在发现的化合物中,Pubchem44326934表现出类药物性质,并通过分子动力学(MD)和分子力学/泊松-玻尔兹曼表面积(MM/PBSA)方法进行了进一步分析。此外,MD轨迹上恒定的结合自由能表明该化合物可能具有抗病毒特性。MD模拟表明,GLU166和GLN189是与抑制剂相互作用的M的最重要残基。