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发现潜在的RNA依赖性RNA聚合酶抑制剂作为抗COVID-19的前瞻性药物:一种计算机模拟方法。

Discovering Potential RNA Dependent RNA Polymerase Inhibitors as Prospective Drugs Against COVID-19: An in silico Approach.

作者信息

Saha Satabdi, Nandi Rajat, Vishwakarma Poonam, Prakash Amresh, Kumar Diwakar

机构信息

Department of Microbiology, Assam University, Silchar, India.

School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.

出版信息

Front Pharmacol. 2021 Feb 26;12:634047. doi: 10.3389/fphar.2021.634047. eCollection 2021.

Abstract

COVID-19, caused by Severe Acute Respiratory Syndrome Corona Virus 2, is declared a Global Pandemic by WHO in early 2020. In the present situation, though more than 180 vaccine candidates with some already approved for emergency use, are currently in development against SARS-CoV-2, their safety and efficacy data is still in a very preliminary stage to recognize them as a new treatment, which demands an utmost emergency for the development of an alternative anti-COVID-19 drug for a COVID-19 free world. Since RNA-dependent RNA polymerase (RdRp) is an essential protein involved in replicating the virus, it can be held as a potential drug target. We were keen to explore the plant-based product against RdRp and analyze its inhibitory potential to treat COVID-19. A unique collection of 248 plant compounds were selected based on their antiviral activity published in previous literature and were subjected to molecular docking analysis against the catalytic sub-unit of RdRp. The docking study was followed by a pharmacokinetics analysis and molecular dynamics simulation study of the selected best-docked compounds. Tellimagrandin I, SaikosaponinB2, Hesperidin and (-)-Epigallocatechin Gallate were the most prominent ones that showed strong binding affinity toward RdRp. All the compounds mentioned showed satisfactory pharmacokinetics properties and remained stabilized at their respective binding sites during the Molecular dynamics simulation. Additionally, we calculated the free-binding energy/the binding properties of RdRp-ligand complexes with the connection of MM/GBSA. Interestingly, we observe that SaikosaponinB2 gives the best binding affinity (∆G = -42.43 kcal/mol) in the MM/GBSA assay. Whereas, least activity is observed for Hesperidin (∆G = -22.72 kcal/mol). Overall our study unveiled the feasibility of the SaikosaponinB2 to serve as potential molecules for developing an effective therapy against COVID-19 by inhibiting one of its most crucial replication proteins, RdRp.

摘要

新型冠状病毒肺炎(COVID-19)由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起,2020年初被世界卫生组织宣布为全球大流行疾病。在当前形势下,尽管目前有180多种候选疫苗正在研发中,其中一些已被批准用于紧急使用,以对抗SARS-CoV-2,但它们的安全性和有效性数据仍处于非常初步的阶段,尚不能将其视为一种新的治疗方法,这就迫切需要研发一种替代抗COVID-19药物,以实现无COVID-19的世界。由于RNA依赖性RNA聚合酶(RdRp)是参与病毒复制的一种必需蛋白质,它可被视为一个潜在的药物靶点。我们热衷于探索针对RdRp的植物源产品,并分析其治疗COVID-19的抑制潜力。基于先前文献中发表的抗病毒活性,挑选了248种独特的植物化合物,并对其进行针对RdRp催化亚基的分子对接分析。对接研究之后,对所选最佳对接化合物进行了药代动力学分析和分子动力学模拟研究。Tellimagrandin I、柴胡皂苷B2、橙皮苷和(-)-表没食子儿茶素没食子酸酯是对RdRp表现出强结合亲和力的最突出的几种化合物。上述所有化合物均表现出令人满意的药代动力学性质,并且在分子动力学模拟过程中在各自的结合位点保持稳定。此外,我们通过MM/GBSA的方法计算了RdRp-配体复合物的自由结合能/结合性质。有趣的是,我们观察到柴胡皂苷B2在MM/GBSA分析中具有最佳的结合亲和力(∆G = -42.43千卡/摩尔)。而橙皮苷的活性最低(∆G = -22.72千卡/摩尔)。总体而言,我们的研究揭示了柴胡皂苷B2作为潜在分子通过抑制COVID-19最关键的复制蛋白之一RdRp来开发有效治疗方法的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c6/7952625/7134c9b50626/fphar-12-634047-g001.jpg

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