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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Comparative Computational Analysis Methods of HIV Drug Combinations towards Drug for Coronavirus Disease-19 (COVID-19)
  Tamer Ezzat Youseef,  Youssef Tamer Ezzat Moustafa

As of 18 March 2020, more than 191 127 cases of confirmed COVID-19 have been documented globally with over 7807 deaths. The impact of COVID-19 on patients with HIV have common presentations like non-HIV patients include fever, dry cough, difficulty of breath. Parallel evidence indicates that the risk of disease increases with critically more than 66 years age, including chronic lung disease. It is very difficult to use drugs on the market. We apply drug design computer techniques to find the expected drug for COVID-19 after knowing the repurposing the detailed of 3D-structures of its key proteins. Several known drugs act as strong inhibitors of COVID-19 protease, including: Abacavir, Lamivudine and Zidovudine. The combination of the analyzed spectra of the antiviral drugs: Abacavir, Lamivudine and Zidovudine help to give an additional information about the investigated set of complex drugs.

Keywords- Coronavirus, COVID-19, HIV drug combination, Trizivir
Publication Details
Unique Identification Number - IJEDR2002013
Page Number(s) - 61-63
Pubished in - Volume 8 | Issue 2 | June 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Tamer Ezzat Youseef,  Youssef Tamer Ezzat Moustafa,   "Comparative Computational Analysis Methods of HIV Drug Combinations towards Drug for Coronavirus Disease-19 (COVID-19)", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 2, pp.61-63, June 2020, Available at :http://www.ijedr.org/papers/IJEDR2002013.pdf
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