Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, 110067, India.
Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, 110067, India.
Eur J Pharmacol. 2021 Jan 5;890:173664. doi: 10.1016/j.ejphar.2020.173664. Epub 2020 Oct 24.
Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) Main protease (M) is one of the vital drug targets amongst all the coronaviruses, as the protein is indispensable for virus replication. The study aimed to identify promising lead molecules against M enzyme through virtual screening of Malaria Venture (MMV) Malaria Box (MB) comprising of 400 experimentally proven compounds. The binding affinities were studied using virtual screening based molecular docking, which revealed five molecules having the highest affinity scores compared to the reference molecules. Utilizing the established 3D structure of M the binding affinity conformations of the docked complexes were studied by Molecular Dynamics (MD) simulations. The MD simulation trajectories were analysed to monitor protein deviation, relative fluctuation, atomic gyration, compactness covariance, residue-residue map and free energy landscapes. Based on the present study outcome, we propose three Malaria_box (MB) compounds, namely, MB_241, MB_250 and MB_266 to be the best lead compounds against M activity. The compounds may be evaluated for their inhibitory activities using experimental techniques.
严重急性呼吸系统综合症冠状病毒 2(SARS-CoV-2)主要蛋白酶(M)是所有冠状病毒中重要的药物靶点之一,因为该蛋白对于病毒复制是不可或缺的。本研究旨在通过虚拟筛选疟疾风险企业(MMV)疟疾盒子(MB)中的 400 种经过实验验证的化合物,来鉴定针对 M 酶的有前途的先导分子。使用基于虚拟筛选的分子对接研究了结合亲和力,与参考分子相比,这揭示了五个具有最高亲和力评分的分子。利用 M 的既定 3D 结构,通过分子动力学(MD)模拟研究了对接复合物的结合亲和力构象。分析 MD 模拟轨迹以监测蛋白质偏差、相对波动、原子回旋、紧凑性协方差、残基-残基图谱和自由能景观。基于本研究结果,我们提出了三种疟疾盒子(MB)化合物,即 MB_241、MB_250 和 MB_266,作为针对 M 活性的最佳先导化合物。可以使用实验技术评估这些化合物对 M 活性的抑制活性。