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用高亲和力天然化合物靶向 SARS-CoV-2 的 RNA 结合蛋白的 N 端结构域以阻断蛋白-RNA 相互作用:一项分子动力学研究。

Targeting the N-terminal domain of the RNA-binding protein of the SARS-CoV-2 with high affinity natural compounds to abrogate the protein-RNA interaction: a molecular dynamics study.

机构信息

Center for Medical Genetics, Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China.

Center for Biotechnology and Microbiology, University of Swat, Mingora, Pakistan.

出版信息

J Biomol Struct Dyn. 2022 Sep;40(14):6286-6294. doi: 10.1080/07391102.2021.1882337. Epub 2021 Feb 8.

Abstract

The emergence of COVID-19 took the world by shock in December 2019, starting from Wuhan, China and swiftly spreading across the globe. The number of COVID-19 cases continues to rise which is a global burden on the health care system worldwide. Efforts are continuing to come up with a solution either to develop a small molecular inhibitor or vaccine, but still no success. In the fight against SARS-CoV-2, targeting a different protein of the SARS-CoV-2 is the need of the hour to impede and relinquish the current pandemic. Therefore, in this study, computational modelling and simulation approaches are used to target the N-terminal domain of the phosphor-nucleoprotein (RNA binding protein), which is primarily responsible for binding and packing the viral genome to get ribonucleoprotein complex (RNP). Our multi-step drug screening approach shortlisted potential drugs. These top hits were confirmed by re-docking which revealed that the interacting molecules block the key residues i.e. Thr57, His59, Ser105, Arg107, and Arg177 and thus ultimately block the NTD from RNA recognition. Furthermore, the activity of the top four hits was also confirmed by using molecular dynamics simulation and free energy calculation. Our analysis suggests that these top hits possess strong inhibitory properties and should be tested experimentally. In conclusion, we hope these top hits would abrogate the binding of RNA and the NTD of the SARS-CoV-2, which might be helpful to combat COVID-19.Communicated by Ramaswamy H. Sarma.

摘要

2019 年 12 月,COVID-19 疫情在中国武汉爆发,震惊了世界,并迅速在全球蔓延。COVID-19 病例数量不断增加,这给全球医疗保健系统带来了巨大负担。人们一直在努力寻找解决方案,要么开发小分子抑制剂,要么开发疫苗,但仍未取得成功。在与 SARS-CoV-2 的斗争中,针对 SARS-CoV-2 的不同蛋白是当前遏制和缓解大流行的当务之急。因此,在这项研究中,我们使用计算建模和模拟方法来靶向磷核蛋白(RNA 结合蛋白)的 N 端结构域,该结构域主要负责结合和包装病毒基因组以形成核糖核蛋白复合物(RNP)。我们的多步药物筛选方法筛选出了潜在的药物。通过重新对接验证了这些前 4 名命中物,结果表明这些相互作用的分子可以阻断关键残基 Thr57、His59、Ser105、Arg107 和 Arg177,从而阻止 NTD 与 RNA 的识别。此外,还通过分子动力学模拟和自由能计算进一步验证了这 4 种前 4 名命中物的活性。我们的分析表明,这些前 4 名命中物具有很强的抑制特性,应该进行实验验证。总之,我们希望这些前 4 名命中物能够阻断 RNA 与 SARS-CoV-2 的 NTD 的结合,这可能有助于对抗 COVID-19。由 Ramaswamy H. Sarma 通讯。

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