Computational Investigation of the Interaction of Anti-Influenza Drugs with CoVID-19 Protein

Kassim F. Adebambo
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引用次数: 6

Abstract

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 useful in the treatment of infected patient.
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抗流感药物与CoVID-19蛋白相互作用的计算研究
冠状病毒(CoVID-19)是一种始于中国武汉的新型冠状病毒病,该病毒的传播现已达到全球阶段,因此迫切需要寻找新的药物分子,既可以用作急救干预,也可以减缓病毒在系统内的增殖速度。为了解决这一问题,本研究调查了现有的抗病毒药物,并筛选了它们对CoVID-19蛋白的抑制特性。最近,CoVID-19 (6LU7)蛋白的晶体结构已经确定,这为我们提供了CoVID-19可能的药物靶点。通过MOE (Molecular Operating Environment)软件对6种化合物的结合亲和力进行筛选,其中4种化合物(Zanamivir、Peramivir、Rimantidine和Oseltamivir)已获得美国食品药品监督管理局(FDA)的批准。通过分子对接计算、高占据分子轨道(HOMO)和最低未占据分子轨道(LUMO)计算,对FDA批准的药物抗CoVID-19蛋白的生物活性进行了假设。计算表明,匹莫地韦在抗流感药物中可作为患者的急救药物排名第一。除了匹莫地韦,辛酸兰尼米韦也是一种很好的药物,可能用于抑制CoVID-19蛋白。基于金刚乙胺的结合特性,它可能适用于基于片段的药物设计(Fragment based Drug Design, FBDD)方法,从而发现全新的药物实体。利用GROMACS分子动力学模拟软件对新蛋白结构的稳定性进行了研究。结果表明,该蛋白结构在一定时间范围内实现了稳定性,这证实了6LU7晶体结构可能是一种合适的蛋白质晶体结构,适合开发治疗CoVID-19的新药。最后,基于分子对接结果,皮莫地韦与辛酸兰尼米韦可能用于治疗感染患者。
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