Department of Biochemistry, School of Life Sciences, University of Hyderabad, Hyderabad, India.
Proteins. 2021 Sep;89(9):1216-1225. doi: 10.1002/prot.26143. Epub 2021 May 22.
The main protease M , 3CL is an important target from coronaviruses. In spite of having 96% sequence identity among M from SARS-CoV-1 and SARS-CoV-2; the inhibitors used to block the activity of SARS-CoV-1 M so far, were found to have differential inhibitory effect on M of SARS-CoV-2. The possible reason could be due to the difference of few amino acids among the peptidases. Since, overall 3-D crystallographic structure of M from SARS-CoV-1 and SARS-CoV-2 is quite similar and mapping a subtle structural variation is seemingly impossible. Hence, we have attempted to study a structural comparison of SARS-CoV-1 and SARS-CoV-2 M in apo and inhibitor bound states using protein structure network (PSN) based approach at contacts level. The comparative PSNs analysis of apo M from SARS-CoV-1 and SARS-CoV-2 uncovers small but significant local changes occurring near the active site region and distributed throughout the structure. Additionally, we have shown how inhibitor binding perturbs the PSG and the communication pathways in M . Moreover, we have also investigated the network connectivity on the quaternary structure of M and identified critical residue pairs for complex formation using three centrality measurement parameters along with the modularity analysis. Taken together, these results on the comparative PSN provide an insight into conformational changes that may be used as an additional guidance towards specific drug development.
主蛋白酶 M (3CL)是冠状病毒的一个重要靶点。尽管 SARS-CoV-1 和 SARS-CoV-2 的 M 蛋白具有 96%的序列同一性,但迄今为止用于阻断 SARS-CoV-1 M 活性的抑制剂,对 SARS-CoV-2 的 M 表现出不同的抑制作用。其可能的原因是由于肽酶之间存在少数氨基酸的差异。由于 SARS-CoV-1 和 SARS-CoV-2 的 M 整体三维晶体结构非常相似,映射细微的结构变化似乎是不可能的。因此,我们试图使用基于蛋白质结构网络(PSN)的方法在无配体和抑制剂结合状态下研究 SARS-CoV-1 和 SARS-CoV-2 M 的结构比较。对 SARS-CoV-1 和 SARS-CoV-2 的无配体 M 的比较 PSN 分析揭示了在活性位点区域附近和整个结构中发生的小但显著的局部变化。此外,我们还展示了抑制剂结合如何干扰 M 的 PSG 和通信途径。此外,我们还研究了 M 的四级结构的网络连接,并使用三个中心性测量参数和模块性分析来识别关键的残基对用于复合物形成。综上所述,这些关于比较 PSN 的结果提供了对构象变化的深入了解,这些变化可能被用作特定药物开发的额外指导。