Translational Bioinformatics Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi, India.
Amity Institute of Neuropsychology & Neurosciences (AINN), Amity University, Noida, India.
J Biomol Struct Dyn. 2022 Apr;40(6):2430-2443. doi: 10.1080/07391102.2020.1839563. Epub 2020 Nov 3.
The outbreak of COVID-19 caused by SARS-CoV-2 virus continually led to infect a large population worldwide. Currently, there is no specific viral protein-targeted therapeutics. The Nucleocapsid (N) protein of the SARS-CoV-2 virus is necessary for viral RNA replication and transcription. The C-terminal domain of N protein (CTD) involves in the self-assembly of N protein into a filament that is packaged into new virions. In this study, the CTD (PDB ID: 6WJI) was targeted for the identification of possible inhibitors of oligomerization of N protein. Herein, multiple computational approaches were employed to explore the potential mechanisms of binding and inhibitor activity of five antiviral drugs toward CTD. The five anti-N drugs studied in this work are 4E1RCat, Silmitasertib, TMCB, Sapanisertib, and Rapamycin. Among the five drugs, 4E1RCat displayed highest binding affinity (-10.95 kcal/mol), followed by rapamycin (-8.91 kcal/mol), silmitasertib (-7.89 kcal/mol), TMCB (-7.05 kcal/mol), and sapanisertib (-6.14 kcal/mol). Subsequently, stability and dynamics of the protein-drug complex were examined with molecular dynamics (MD) simulations. Overall, drug binding increases the stability of the complex with maximum stability observed in the case of 4E1RCat. The CTD-drug complex systems behave differently in terms of the free energy landscape and showed differences in population distribution. Overall, the MD simulation parameters like RMSD, RMSF, Rg, hydrogen bonds analysis, PCA, FEL, and DCCM analysis indicated that 4E1RCat and TMCB complexes were more stable as compared to silmitasertib and sapanisertib and thus could act as effective drug compounds against CTD.Communicated by Ramaswamy H. Sarma.
由严重急性呼吸系统综合征冠状病毒 2 型(SARS-CoV-2)病毒引起的 COVID-19 疫情持续在全球范围内导致大量人群感染。目前,尚无针对特定病毒蛋白的靶向治疗药物。SARS-CoV-2 病毒的核衣壳(N)蛋白对于病毒 RNA 的复制和转录是必需的。N 蛋白的 C 末端结构域(CTD)参与 N 蛋白自身组装成丝状结构,从而将新的病毒粒子包装起来。在本研究中,针对 N 蛋白寡聚化的可能抑制剂,选择 CTD(PDB ID:6WJI)作为靶标。在此,采用多种计算方法来探索五种抗病毒药物与 CTD 结合的潜在机制和抑制剂活性。本研究中研究的五种抗 N 药物是 4E1RCat、Silmitasertib、TMCB、Sapanisertib 和 Rapamycin。在这五种药物中,4E1RCat 显示出最高的结合亲和力(-10.95 kcal/mol),其次是雷帕霉素(-8.91 kcal/mol)、Silmitasertib(-7.89 kcal/mol)、TMCB(-7.05 kcal/mol)和 Sapanisertib(-6.14 kcal/mol)。随后,通过分子动力学(MD)模拟研究了蛋白质-药物复合物的稳定性和动力学。总体而言,药物结合增加了复合物的稳定性,在 4E1RCat 的情况下观察到最大稳定性。在自由能景观方面,CTD-药物复合体系表现不同,种群分布存在差异。总体而言,MD 模拟参数,如 RMSD、RMSF、Rg、氢键分析、PCA、FEL 和 DCCM 分析表明,4E1RCat 和 TMCB 复合物比 Silmitasertib 和 Sapanisertib 更稳定,因此可能成为针对 CTD 的有效药物化合物。由 Ramaswamy H. Sarma 传达。