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从 SARS-CoV-2 中天然产物的 RNA 依赖性 RNA 聚合酶抑制作用的系统发育分析和结构观点。

Phylogenetic Analysis and Structural Perspectives of RNA-Dependent RNA-Polymerase Inhibition from SARs-CoV-2 with Natural Products.

机构信息

State Key Lab of Microbial Metabolism, Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.

The CAS Key Laboratory of Innate Immunity and Chronic Diseases, Hefei National Laboratory for Physical Sciences at Microscale, School of Life Sciences, CAS Center for Excellence in Molecular Cell Science, University of Science and Technology of China (USTC), Collaborative Innovation Center of Genetics and Development, Hefei, 230027, Anhui, China.

出版信息

Interdiscip Sci. 2020 Sep;12(3):335-348. doi: 10.1007/s12539-020-00381-9. Epub 2020 Jul 3.

Abstract

Most recently, an outbreak of severe pneumonia caused by the infection of SARS-CoV-2, a novel coronavirus first identified in Wuhan, China, imposes serious threats to public health. Upon infecting host cells, coronaviruses assemble a multi-subunit RNA-synthesis complex of viral non-structural proteins (nsp) responsible for the replication and transcription of the viral genome. Therefore, the role and inhibition of nsp12 are indispensable. A cryo-EM structure of RdRp from SARs-CoV-2 was used to identify novel drugs from Northern South African medicinal compounds database (NANPDB) by using computational virtual screening and molecular docking approaches. Considering Remdesivir as the control, 42 compounds were shortlisted to have docking score better than Remdesivir. The top 5 hits were validated by using molecular dynamics simulation approach and free energy calculations possess strong inhibitory properties than the Remdesivir. Thus, this study paved a way for designing novel drugs by decoding the architecture of an important enzyme and its inhibition with compounds from natural resources. This disclosing of necessary knowledge regarding the screening and the identification of top hits could help to design effective therapeutic candidates against the coronaviruses and design robust preventive measurements.

摘要

最近,由新型冠状病毒(SARS-CoV-2)感染引起的严重肺炎疫情在中国武汉爆发,对公众健康造成了严重威胁。冠状病毒感染宿主细胞后,会组装出一种由病毒非结构蛋白(nsp)组成的多亚基 RNA 合成复合物,负责病毒基因组的复制和转录。因此,nsp12 的作用和抑制作用是不可或缺的。本研究利用冷冻电镜结构解析技术,从南非北部药用化合物数据库(NANPDB)中筛选出新型药物,通过计算虚拟筛选和分子对接方法,鉴定出新型药物。以瑞德西韦为对照,有 42 种化合物的对接评分优于瑞德西韦。通过分子动力学模拟方法对前 5 名命中物进行验证,并通过自由能计算,证明它们具有比瑞德西韦更强的抑制作用。因此,本研究为通过解码重要酶的结构及其与天然资源化合物的抑制作用来设计新型药物铺平了道路。该研究揭示了筛选和鉴定顶级命中物的必要知识,有助于设计针对冠状病毒的有效治疗候选药物和设计稳健的预防措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb15/7332347/43284587bbf0/12539_2020_381_Fig1_HTML.jpg

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