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On the origin and continuing evolution of SARS-CoV-2.关于严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的起源及持续进化
Natl Sci Rev. 2020 Jun;7(6):1012-1023. doi: 10.1093/nsr/nwaa036. Epub 2020 Mar 3.
2
Inhibition mechanism of SARS-CoV-2 main protease by ebselen and its derivatives.埃布斯硒啉及其衍生物对 SARS-CoV-2 主蛋白酶的抑制机制。
Nat Commun. 2021 May 24;12(1):3061. doi: 10.1038/s41467-021-23313-7.
3
structure-based discovery of a SARS-CoV-2 main protease inhibitor.基于结构的新型冠状病毒主要蛋白酶抑制剂的发现
Int J Biol Sci. 2021 Apr 10;17(6):1555-1564. doi: 10.7150/ijbs.59191. eCollection 2021.
4
Structural Basis of Potential Inhibitors Targeting SARS-CoV-2 Main Protease.靶向严重急性呼吸综合征冠状病毒2主蛋白酶的潜在抑制剂的结构基础
Front Chem. 2021 Mar 12;9:622898. doi: 10.3389/fchem.2021.622898. eCollection 2021.
5
Rutin and flavone analogs as prospective SARS-CoV-2 main protease inhibitors: In silico drug discovery study.芦丁及黄酮类似物作为潜在的新型冠状病毒主要蛋白酶抑制剂:计算机辅助药物发现研究
J Mol Graph Model. 2021 Jun;105:107904. doi: 10.1016/j.jmgm.2021.107904. Epub 2021 Mar 20.
6
Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors.基于药物信息学的从桑白皮中鉴定跨膜丝氨酸蛋白酶 2 抑制剂作为 SARS-CoV-2 细胞进入抑制剂。
Mol Divers. 2022 Feb;26(1):265-278. doi: 10.1007/s11030-021-10209-3. Epub 2021 Mar 30.
7
In silico investigation of potential inhibitors to main protease and spike protein of SARS-CoV-2 in propolis.蜂胶中SARS-CoV-2主要蛋白酶和刺突蛋白潜在抑制剂的计算机模拟研究
Biochem Biophys Rep. 2021 Jul;26:100969. doi: 10.1016/j.bbrep.2021.100969. Epub 2021 Feb 27.
8
identification and validation of natural antiviral compounds as potential inhibitors of SARS-CoV-2 methyltransferase.鉴定和验证天然抗病毒化合物作为 SARS-CoV-2 甲基转移酶潜在抑制剂的研究
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9
Screening of Natural Compounds as Potential Inhibitors of SARS-CoV-2 Main Protease and Spike RBD: Targets for COVID-19.筛选作为新型冠状病毒主要蛋白酶和刺突蛋白受体结合域潜在抑制剂的天然化合物:针对新冠肺炎的靶点
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Luteolin and abyssinone II as potential inhibitors of SARS-CoV-2: an in silico molecular modeling approach in battling the COVID-19 outbreak.木犀草素和阿比西酮II作为严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的潜在抑制剂:应对2019冠状病毒病(COVID-19)疫情的计算机辅助分子建模方法
Bull Natl Res Cent. 2021;45(1):27. doi: 10.1186/s42269-020-00479-6. Epub 2021 Jan 20.

计算机模拟研究在寻找新型 SARS-CoV-2 抑制剂方面的意义。

Implication of in silico studies in the search for novel inhibitors against SARS-CoV-2.

机构信息

Girijananda Chowdhury Institute of Pharmaceutical Science, Tezpur, Sonitpur, Assam, India.

Department of Pharmaceutical Sciences, Dibrugarh University, Dibrugarh, Assam, India.

出版信息

Arch Pharm (Weinheim). 2022 May;355(5):e2100360. doi: 10.1002/ardp.202100360. Epub 2022 Mar 4.

DOI:10.1002/ardp.202100360
PMID:35244237
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9073995/
Abstract

Corona Virus Disease-19 (COVID-19) is a pandemic disease mainly caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It had spread from Wuhan, China, in late 2019 and spread over 222 countries and territories all over the world. Earlier, at the very beginning of COVID-19 infection, there were no approved medicines or vaccines for combating this disease, which adversely affected a lot of individuals worldwide. Although frequent mutation leads to the generation of more deadly variants of SARS-CoV-2, researchers have developed several highly effective vaccines that were approved for emergency use by the World Health Organization (WHO), such as mRNA-1273 by Moderna, BNT162b2 by Pfizer/BioNTech, Ad26.COV2.S by Janssen, AZD1222 by Oxford/AstraZeneca, Covishield by the Serum Institute of India, BBIBP-CorV by Sinopharm, coronaVac by Sinovac, and Covaxin by Bharat Biotech, and the first US Food and Drug Administration-approved antiviral drug Veklury (remdesivir) for the treatment of COVID-19. Several waves of COVID-19 have already occurred worldwide, and good-quality vaccines and medicines should be available for ongoing as well as upcoming waves of the pandemic. Therefore, in silico studies have become an excellent tool for identifying possible ligands that could lead to the development of safer medicines or vaccines. Various phytoconstituents from plants and herbs with antiviral properties are studied further to obtain inhibitors of SARS-CoV-2. In silico screening of various molecular databases like PubChem, ZINC, Asinex Biol-Design Library, and so on has been performed extensively for finding effective ligands against targets. Herein, in silico studies carried out by various researchers are summarized so that one can easily find the best molecule for further in vitro and in vivo studies.

摘要

新型冠状病毒病(COVID-19)是一种主要由严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)引起的大流行疾病。它于 2019 年底在中国武汉传播,并在全球 222 个国家和地区传播。早些时候,在 COVID-19 感染的初期,没有针对这种疾病的批准药物或疫苗,这对全球许多人产生了不利影响。尽管频繁的突变导致 SARS-CoV-2 产生了更多致命的变体,但研究人员已经开发出几种高效的疫苗,这些疫苗已获得世界卫生组织(WHO)的紧急使用批准,例如 Moderna 的 mRNA-1273、辉瑞/BioNTech 的 BNT162b2、Janssen 的 Ad26.COV2.S、牛津/阿斯利康的 AZD1222、印度血清研究所的 Covishield、国药集团的 BBIBP-CorV、科兴的 coronaVac 和 Bharat Biotech 的 Covaxin,以及美国食品和药物管理局批准的第一种用于治疗 COVID-19 的抗病毒药物 Veklury(瑞德西韦)。COVID-19 已在全球范围内出现了多波疫情,为应对当前和即将到来的疫情浪潮,应提供高质量的疫苗和药物。因此,计算机模拟研究已成为识别可能导致开发更安全药物或疫苗的潜在配体的绝佳工具。进一步研究具有抗病毒特性的植物和草药中的各种植物成分,以获得 SARS-CoV-2 的抑制剂。已经广泛对各种分子数据库(如 PubChem、ZINC、Asinex Biol-Design Library 等)进行了计算机模拟筛选,以寻找针对靶点的有效配体。在此,总结了不同研究人员进行的计算机模拟研究,以便人们可以轻松找到最适合进一步进行体外和体内研究的最佳分子。