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联合使用新型冠状病毒校对核酸外切酶和RNA依赖性RNA聚合酶抑制剂作为对抗新型冠状病毒肺炎的策略:一项高通量筛选

Combining SARS-CoV-2 Proofreading Exonuclease and RNA-Dependent RNA Polymerase Inhibitors as a Strategy to Combat COVID-19: A High-Throughput Screening.

作者信息

Khater Shradha, Kumar Pawan, Dasgupta Nandini, Das Gautam, Ray Shashikant, Prakash Amresh

机构信息

Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.

miBiome Therapeutics LLP, Mumbai, India.

出版信息

Front Microbiol. 2021 Jul 20;12:647693. doi: 10.3389/fmicb.2021.647693. eCollection 2021.

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected millions of people worldwide. Currently, many clinical trials in search of effective COVID-19 drugs are underway. Viral RNA-dependent RNA polymerase (RdRp) remains the target of choice for prophylactic or curative treatment of COVID-19. Nucleoside analogs are the most promising RdRp inhibitors and have shown effectiveness , as well as in clinical settings. One limitation of such RdRp inhibitors is the removal of incorporated nucleoside analogs by SARS-CoV-2 exonuclease (ExoN). Thus, ExoN proofreading activity accomplishes resistance to many of the RdRp inhibitors. We hypothesize that in the absence of highly efficient antivirals to treat COVID-19, combinatorial drug therapy with RdRp and ExoN inhibitors will be a promising strategy to combat the disease. To repurpose drugs for COVID-19 treatment, 10,397 conformers of 2,240 approved drugs were screened against the ExoN domain of nsp14 using AutoDock VINA. The molecular docking approach and detailed study of interactions helped us to identify dexamethasone metasulfobenzoate, conivaptan, hesperidin, and glycyrrhizic acid as potential inhibitors of ExoN activity. The results were further confirmed using molecular dynamics (MD) simulations and molecular mechanics combined with generalized Born model and solvent accessibility method (MM-GBSA) calculations. Furthermore, the binding free energy of conivaptan and hesperidin, estimated using MM-GBSA, was -85.86 ± 0.68 and 119.07 ± 0.69 kcal/mol, respectively. Based on docking, MD simulations and known antiviral activities, and conivaptan and hesperidin were identified as potential SARS-CoV-2 ExoN inhibitors. We recommend further investigation of this combinational therapy using RdRp inhibitors with a repurposed ExoN inhibitor as a potential COVID-19 treatment.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)已在全球感染了数百万人。目前,许多寻找有效的COVID-19药物的临床试验正在进行中。病毒RNA依赖性RNA聚合酶(RdRp)仍然是COVID-19预防性或治疗性治疗的首选靶点。核苷类似物是最有前途的RdRp抑制剂,并且已在临床环境中显示出有效性。此类RdRp抑制剂的一个局限性是SARS-CoV-2核酸外切酶(ExoN)会去除已掺入的核苷类似物。因此,ExoN校对活性导致对许多RdRp抑制剂产生抗性。我们假设,在缺乏高效抗COVID-19病毒药物的情况下,将RdRp和ExoN抑制剂联合用药将是对抗该疾病的一种有前途的策略。为了将药物重新用于COVID-19治疗,使用AutoDock VINA针对nsp14的ExoN结构域筛选了2240种已批准药物的10397种构象异构体。分子对接方法和相互作用的详细研究帮助我们确定了地塞米松间磺苯甲酸盐、考尼伐坦、橙皮苷和甘草酸是ExoN活性的潜在抑制剂。使用分子动力学(MD)模拟以及分子力学结合广义玻恩模型和溶剂可及性方法(MM-GBSA)计算进一步证实了结果。此外,使用MM-GBSA估算的考尼伐坦和橙皮苷的结合自由能分别为-85.86±0.68和119.07±0.69 kcal/mol。基于对接、MD模拟和已知的抗病毒活性,考尼伐坦和橙皮苷被确定为潜在的SARS-CoV-2 ExoN抑制剂。我们建议进一步研究这种联合疗法,即将RdRp抑制剂与重新利用的ExoN抑制剂联合使用作为潜在的COVID-19治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23bf/8329495/60823511c07d/fmicb-12-647693-g001.jpg

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