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计算机模拟分析选定生物碱对 SARS-CoV-2 主蛋白酶(M)的作用。

In silico analysis of selected alkaloids against main protease (M) of SARS-CoV-2.

机构信息

Department of Biotechnology, Delhi Technological University, Delhi, India.

Department of Biotechnology, School of Engineering & Technology, Sharda University, Greater Noida, India; Department of Biotechnology, Delhi Technological University, Delhi, India.

出版信息

Chem Biol Interact. 2020 Dec 1;332:109309. doi: 10.1016/j.cbi.2020.109309. Epub 2020 Nov 9.

Abstract

In the present situation, COVID-19 has become the global health concern due to its high contagious nature. It initially appeared in December 2019 in Wuhan, China and now affected more than 190 countries. As of now preventive measures are the sole solution to stop this disease for further transmission from person to person transmissions as there is no effective treatment or vaccine available to date. Research and development of new molecule is a laborious process; therefore, drug repurposing can be an alternative solution that involves the identification of potential compounds from the already available data. Alkaloids are potential source of therapeutic agents which might be able to treat novel COVID-19. Therefore, in the present study, twenty potential alkaloid molecules that possess antiviral activity against different viral diseases have taken into consideration and scrutinized using Lipinski's rule. Then out of twenty compounds seventeen were further selected for docking study. Docking study was performed using Autodock software and the best four molecule which provides maximum negative binding energy was selected for further analysis. Two alkaloids namely thalimonine and sophaline D showed potential activity to inhibit the M but to confirm the claim further in-vitro studies are required.

摘要

在当前情况下,由于其高传染性,COVID-19 已成为全球关注的健康问题。它最初于 2019 年 12 月在中国武汉出现,现在已经影响了 190 多个国家。截至目前,预防措施是阻止这种疾病进一步人际传播的唯一解决方案,因为目前尚无有效的治疗方法或疫苗。新分子的研发是一个艰苦的过程;因此,药物再利用可能是一种替代解决方案,涉及从现有数据中识别潜在的化合物。生物碱是治疗新型 COVID-19 的潜在治疗剂来源。因此,在本研究中,考虑了二十种具有抗病毒活性的潜在生物碱分子,并使用 Lipinski 规则进行了仔细研究。然后,从二十种化合物中进一步选择了十七种进行对接研究。对接研究使用 Autodock 软件进行,选择提供最大负结合能的最佳四个分子进行进一步分析。两种生物碱,即 thalimonine 和 sophaline D,显示出抑制 M 的潜在活性,但为了进一步证实这一说法,需要进行体外研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f025/7649659/7a8a264506ba/gr1_lrg.jpg

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