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International Journal of Antimicrobial Agents
Article
License: implied-oa
Data sources: UnpayWall
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PubMed Central
Other literature type . 2020
Data sources: PubMed Central
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International Journal of Antimicrobial Agents
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking

Authors: Yu, Ran; Chen, Liang; Lan, Rong; Shen, Rong; Li, Peng;

Computational screening of antagonists against the SARS-CoV-2 (COVID-19) coronavirus by molecular docking

Abstract

In the current spread of novel coronavirus (SARS-CoV-2), antiviral drug discovery is of great importance. AutoDock Vina was used to screen potential drugs by molecular docking with the structural protein and non-structural protein sites of new coronavirus. Ribavirin, a common antiviral drug, remdesivir, chloroquine and luteolin were studied. Honeysuckle is generally believed to have antiviral effects in traditional Chinese medicine. In this study, luteolin (the main flavonoid in honeysuckle) was found to bind with a high affinity to the same sites of the main protease of SARS-CoV-2 as the control molecule. Chloroquine has been proved clinically effective and can bind to the main protease; this may be the antiviral mechanism of this drug. The study was restricted to molecular docking without validation by molecular dynamics simulations. Interactions with the main protease may play a key role in fighting against viruses. Luteolin is a potential antiviral molecule worthy of attention.

Related Organizations
Keywords

Microbiology (medical), SARS-CoV-2, Pneumonia, Viral, COVID-19, Computational Biology, Chloroquine, General Medicine, Antiviral Agents, Article, Molecular Docking Simulation, Betacoronavirus, Infectious Diseases, Humans, Pharmacology (medical), Coronavirus Infections, Luteolin, Pandemics

  • 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).
    242
    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 0.1%
    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 0.1%
Powered by OpenAIRE graph
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!
242
Top 0.1%
Top 10%
Top 0.1%
Green
hybrid