4.7 Article

In silico screening predicts common cold drug Dextromethorphan along with Prednisolone and Dexamethasone can be effective against novel Coronavirus disease (COVID-19)

期刊

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
卷 40, 期 8, 页码 3706-3710

出版社

TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2020.1850528

关键词

Covid-19; Dextromethorphan; Prednisolone; Dexamethasone; Coronavirus main protease (M-pro)

资金

  1. Department of Biotechnology, Govt. of West Bengal

向作者/读者索取更多资源

The ongoing outbreak of COVID-19 is a cause for great concern, with the virus showing high efficacy in human-to-human transmission. Scientists and researchers are exploring phytochemicals and synthesized chemicals as potential anti-COVID drugs. This study proposes the repurposing of three chemicals and demonstrates their synergistic effect through molecular docking and dynamics study.
The ongoing outbreak of Coronavirus disease 2019 (COVID-19) is a matter of great concern. Although the mortality rate caused by this virus is less than that of SARS and MERS, it is showing higher efficacy in terms of human-to-human transmission. Several strategies have been taken by scientists and researchers worldwide to combat this virus. Numerous phytochemicals and synthesized chemicals are under incessant inspection to obtain a potent anti-covid drug. Since, till now no precise therapy is available for covid patients, researchers are trying to categorize all possible anti-covid substances. Repurposing of drugs and combined drug therapy are becoming popular in treating such viral diseases. In this study, we are proposing the repurposing of three chemicals-Dextromethorphan, Prednisolone and Dexamethasone as anti-covid agents. We have used the tertiary structure of Coronavirus main protease (M-pro) with PDB ID 6LU7 as the target protein in this analysis. Molecular docking and dynamics study further revealed their synergistic effect against the COVID-19 protease protein. Communicated by Ramaswamy H. Sarma

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据