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Learning from the Past: Possible Urgent Prevention and Treatment Options for Severe Acute Respiratory Infections Caused by 2019‐nCoV

Authors: Morse, Jared S.; Lalonde, Tyler; Xu, Shiqing; Liu, Wenshe Ray;

Learning from the Past: Possible Urgent Prevention and Treatment Options for Severe Acute Respiratory Infections Caused by 2019‐nCoV

Abstract

AbstractWith the current trajectory of the 2019‐nCoV outbreak unknown, public health and medicinal measures will both be needed to contain spreading of the virus and to optimize patient outcomes. Although little is known about the virus, an examination of the genome sequence shows strong homology with its better‐studied cousin, SARS‐CoV. The spike protein used for host cell infection shows key nonsynonymous mutations that might hamper the efficacy of previously developed therapeutics but remains a viable target for the development of biologics and macrocyclic peptides. Other key drug targets, including RNA‐dependent RNA polymerase and coronavirus main proteinase (3CLpro), share a strikingly high (>95 %) homology to SARS‐CoV. Herein, we suggest four potential drug candidates (an ACE2‐based peptide, remdesivir, 3CLpro‐1 and a novel vinylsulfone protease inhibitor) that could be used to treat patients suffering with the 2019‐nCoV. We also summarize previous efforts into drugging these targets and hope to help in the development of broad‐spectrum anti‐coronaviral agents for future epidemics.

Keywords

SARS-CoV-2, Pneumonia, Viral, Organic Chemistry, COVID-19, RNA-Dependent RNA Polymerase, Antiviral Agents, Biochemistry, Article, COVID-19 Drug Treatment, Betacoronavirus, Cysteine Endopeptidases, Drug Design, Humans, Molecular Medicine, Coronavirus Infections, Molecular Biology, Coronavirus 3C Proteases

  • 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).
    652
    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 0.1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.01%
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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!
652
Top 0.1%
Top 0.1%
Top 0.01%
Green
hybrid