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PubMed Central
Other literature type . 2020
License: CC BY NC SA
Data sources: PubMed Central
Indian Journal of Pharmacology
Article . 2020 . Peer-reviewed
Data sources: Crossref
Indian Journal of Pharmacology
Article . 2020 . Peer-reviewed
Data sources: Crossref
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Drug targets for corona virus: A systematic review

Authors: Prajapat, Manisha; Sarma, Phulen; Shekhar, Nishant; Avti, Pramod; Sinha, Shweta; Kaur, Hardeep; Kumar, Subodh; +4 Authors
Abstract

The 2019-novel coronavirus (nCoV) is a major source of disaster in the 21th century. However, the lack of specific drugs to prevent/treat an attack is a major need at this current point of time. In this regard, we conducted a systematic review to identify major druggable targets in coronavirus (CoV). We searched PubMed and RCSB database with keywords HCoV, NCoV, corona virus, SERS-CoV, MERS-CoV, 2019-nCoV, crystal structure, X-ray crystallography structure, NMR structure, target, and drug target till Feb 3, 2020. The search identified seven major targets (spike protein, envelop protein, membrane protein, protease, nucleocapsid protein, hemagglutinin esterase, and helicase) for which drug design can be considered. There are other 16 nonstructural proteins (NSPs), which can also be considered from the drug design perspective. The major structural proteins and NSPs may serve an important role from drug design perspectives. However, the occurrence of frequent recombination events is a major deterrent factor toward the development of CoV-specific vaccines/drugs.

Keywords

Pharmacology, SARS-CoV-2, Pneumonia, Viral, COVID-19, COVID-19 Drug Treatment, Betacoronavirus, Viral Proteins, Severe acute respiratory syndrome-related coronavirus, Drug Design, Middle East Respiratory Syndrome Coronavirus, Humans, Pharmacology (medical), Systematic Review, Molecular Targeted Therapy, Coronavirus Infections

  • BIP!
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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).
    356
    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 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!
356
Top 0.1%
Top 1%
Top 0.01%
Green
gold