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Molecular Docking Study of the Binding Interaction of Hydroxychloroquine, Dexamethasone and Other Anti-Inflammatory Drugs with SARS-CoV-2 Protease and SARS-CoV-2 Spikes Glycoprotein
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作者 Kassim F. Adebambo Nadia Haji 《Computational Molecular Bioscience》 2021年第2期19-49,共31页
<strong>Aims:</strong> The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still accountable for millions of deaths wor... <strong>Aims:</strong> The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still accountable for millions of deaths worldwide and declared as a global pandemic by the World Health Organisation. Despite efforts, there is still limited evidence available on a successful potent inhibitor with a low toxicity profile that can aid in the prevention and/or treatment of COVID-19. This study will focus on four main aspects: 1) screening 19 Food Drug and Administration (FDA) approved drugs using computational molecular docking;2) assessing drug toxicity profiles using biological data;3) recommending potential therapies against COVID-19 and 4) supplementing currently used therapies. <strong>Methods:</strong> 19 FDA approved drugs were investigated against the crystal structure of SARS-CoV-2 protease (6LU7) and SARS-CoV-2 glycoprotein (6VXX) using a computational molecular docking software, Molecular Operating Environment (MOE). Separately, on MOE, 6LU7 and 6VXX were loaded, prepared, and the binding pockets located. The drug’s canonical SMILES were imported, minimised, and docked on the prepared proteins using a search algorithm to establish the highest stability conformation. Drugs were ranked depending on binding properties and biological data to assess safety;steric clashes and voids in the binding site were also analysed. <strong>Results and discussion:</strong> Out of the nineteen (19) FDA approved drugs, 18 inhibited 6LU7 and 13 inhibited 6VXX. High-ranked drugs based on binding properties for 6LU7 were hydroxychloroquine, dexamethasone, naproxen, etoricoxib, and ibuprofen. For 6VXX were hydroxychloroquine, celecoxib, etoricoxib, meloxicam, and parecoxib. Considering safety profile, the top 3 drugs in descending order for 6LU7 were etoricoxib, naproxen and dexamethasone and for 6VXX were etoricoxib, meloxicam, and parecoxib. Compared to the literature, the results were consistent for dexamethasone which was effective against 6LU7. However, for hydroxychloroquine and ibuprofen, there was conflicting literature regarding safety and efficacy. <strong>Conclusion and future work:</strong> The findings suggest that against COVID-19 etoricoxib might be effective as a therapeutic and prophylactic measure. Naproxen and dexamethasone would be more effective as treatment only while meloxicam and parecoxib as prophylaxis. However, future studies are needed to validate these findings. Compared to previous literature, the findings in this study also support the use of dexamethasone over hydroxychloroquine and ibuprofen for COVID-19 based on the binding and safety properties. Despite this, future research should explore the impressive binding properties displayed by hydroxychloroquine and ibuprofen to aid in developing a new drug against COVID-19. 展开更多
关键词 Anti-Inflammatory Drugs COVID-19 FDA Approved Drugs moe software SARS-CoV-2 Spike Glycoprotein
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Computational Investigation of the Interaction of Anti-Influenza Drugs with CoVID-19 Protein
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作者 Kassim F. Adebambo 《Computational Molecular Bioscience》 2020年第2期45-60,共16页
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 wh... 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. 展开更多
关键词 CoVID-19 Molecular Docking 6LU7 Protein Simulations FDA Approved Drugs moe software
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