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Journal of Proteome Research
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Interaction of drugs candidates with various SARS-CoV-2 receptors: an in silico study to combat COVID-19

Authors: Barros, Romulo O.; Junior, Fabio L. C. C.; Pereira, Wildrimak S.; Oliveira, Neiva M. N.; Ramos, Ricardo M.;

Interaction of drugs candidates with various SARS-CoV-2 receptors: an in silico study to combat COVID-19

Abstract

The world is currently facing the COVID-19 pandemic caused by the SARS-CoV-2 virus. The pandemic is causing the death of people around the world and public and social health measures to slow or prevent the spread of COVID-19 are being implemented with the involvement of all members of society. Research institutions are accelerating the discovery of vaccines and therapies for the COVID-19. In this work, molecular docking was used to study (in silico) the interaction of twenty-four ligands, divided into four groups, with four important SARS-CoV-2 receptors. The results showed that Metaquine (group 01), antimalarial substance and the anti-HIV antiretroviral Saquinavir (group 03), presented interaction with all the studied receptors, indicating them as potentials candidates for muti-target drugs for COVID-19.

Keywords

SARS-CoV-2, Pneumonia, Viral, COVID-19, General Chemistry, Biochemistry, Antiviral Agents, Molecular Docking Simulation, Betacoronavirus, Viral Proteins, Drug Discovery, Humans, Coronavirus Infections, Pandemics, Protein Binding

  • BIP!
    Impact byBIP!
    citations
    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).
    38
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
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!
38
Top 10%
Top 10%
Top 1%
hybrid