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摘要:
Coronavirus (CoVID-19) is a new outbreak of coronavirus disease which started in the Wuhan, China, the spread of this virus has now reached a global stage, urgent need is therefore needed to find new drug molecules which can either be used as a first aid intervention or slow down the multiplication rate of the virus within the system. In order to address this, this research looked into the existing antiviral drugs and screened them for their inhibitory properties towards the CoVID-19 protein. Recently, the crystal structure of the CoVID-19 (6LU7) protein has been established, this gives us the possible drug target site in CoVID-19. The binding affinity of the six compounds was screened using MOE (Molecular Operating Environment) software, four compounds (Zanamivir, Peramivir, Rimantidine, and Oseltamivir) out these six compounds have been approved by the Food Drug and Administration (FDA). The molecular docking calculation, Higher Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO) calculation were used to hypothesise the bioactivity of the FDA approved drug against the CoVID-19 protein. The calculation showed that Pimodivir tops the list of the anti influenza drug which can be used as first aid treatment for patient. Apart from Pimodivir, Laninamivir Octanoate is also a very good drug which might be used to inhibit CoVID-19 protein. It was also discovered that based on binding property of Rimantadine, it might be suitable for Fragment Based Drug Design (FBDD) approach which might lead to the discovery of completely new drug entity. Stability of the new protein structure was studied using GROMACS molecular dynamic simulation software. The results showed that the stability of the protein structure was achieved over a range of time, this confirmed that 6LU7 crystal structure might be a suitable protein crystal structure suitable for the development of new drug towards the treatment of CoVID-19. Finally, based on the molecular docking result, Pimodivir and Laninamivir Octanoate might be
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篇名 Computational Investigation of the Interaction of Anti-Influenza Drugs with CoVID-19 Protein
来源期刊 计算分子生物学(英文) 学科 化学
关键词 CoVID-19 Molecular Docking 6LU7 Protein Simulations FDA Approved Drugs MOE Software
年,卷(期) 2020,(2) 所属期刊栏目
研究方向 页码范围 45-60
页数 16页 分类号 O62
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
CoVID-19
Molecular
Docking
6LU7
Protein
Simulations
FDA
Approved
Drugs
MOE
Software
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
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期刊影响力
计算分子生物学(英文)
季刊
2165-3445
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
35
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0
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