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A Search for Medications to Treat COVID-19 Via in Silico Molecular Docking Models of the SARS-CoV-2 Spike Glycoprotein and 3CL Protease

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Date 2020 Apr 16
PMID 32294562
Citations 131
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Abstract

Background: The COVID-19 has now been declared a global pandemic by the World Health Organization. There is an emergent need to search for possible medications.

Method: Utilization of the available sequence information, homology modeling, and in slico docking a number of available medications might prove to be effective in inhibiting the SARS-CoV-2 two main drug targets, the spike glycoprotein, and the 3CL protease.

Results: Several compounds were determined from the in silico docking models that might prove to be effective inhibitors for SARS-CoV-2. Several antiviral medications: Zanamivir, Indinavir, Saquinavir, and Remdesivir show potential as and 3CL main proteinase inhibitors and as a treatment for COVID-19.

Conclusion: Zanamivir, Indinavir, Saquinavir, and Remdesivir are among the exciting hits on the 3CL main proteinase. It is also exciting to uncover that Flavin Adenine Dinucleotide (FAD) Adeflavin, B2 deficiency medicine, and Coenzyme A, a coenzyme, may also be potentially used for the treatment of SARS-CoV-2 infections. The use of these off-label medications may be beneficial in the treatment of the COVID-19.

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