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Amoxicillin and Clavulanate as Potential Multiple Effect Inhibitors of 2019 Novel Coronavirus Main Protease and RNA-Dependent RNA Polymerase with Strong Receptor-Binding Domain (RBD), Molecular Docking and SAR Study

Authors: Khedidja benarous; Talia Serseg; Mohamed Yousfi;

Amoxicillin and Clavulanate as Potential Multiple Effect Inhibitors of 2019 Novel Coronavirus Main Protease and RNA-Dependent RNA Polymerase with Strong Receptor-Binding Domain (RBD), Molecular Docking and SAR Study

Abstract

SARS-CoV-2 is a novel coronavirus was isolated and identified first time in 2019 in Wuhan, China. Nowadays, it is a worldwide danger and the WHO named it as a pandemic. With a number of 5,593,631 as confirmed cases, and 353,334 as deaths. On 17 February, we have started our researches for finding potential inhibitors for COVID-19 main protease, especially after publishing the first crystalline structure of this protein in the PDB with PDB ID: 6lu7. We have found three potent molecules Hispidin, Folic acid and Lepidine E with Ki values 5.21, 3.71 and 1.89 μM respectively. Continuing the same context and in order to determine more inhibitors as potential strategy for COVID-19 treatment by molecular docking. We detected Amoxicillin and clavulanate as very strong inhibitors with a rate of 100% to the nCov-19 main protease and RNA-dependent RNA polymerase by several hydrogen bonds and hydrophobic interactions. In addition, we have docked both inhibitors to Spike protein domain of the virus responsible for its binding to the ACE2 receptors in the lungs and other vital organs. The results show that the ligands bound tightly with this latter confirming multiple effect and target of the drugs. Funding Statement: DGRSDT of Algeria Declaration of Interests: None to declare Ethics Approval Statement: Not needed

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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