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Journal of Computational Biology
Article . 2021 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Journal of Computational Biology
Article
License: CC BY NC
Data sources: UnpayWall
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DBLP
Article . 2021
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Mapping the Nonstructural Transmembrane Proteins of Severe Acute Respiratory Syndrome Coronavirus 2

Authors: Sunil Thomas;

Mapping the Nonstructural Transmembrane Proteins of Severe Acute Respiratory Syndrome Coronavirus 2

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) responsible for the disease coronavirus-19 disease (COVID-19) has wreaked havoc on the health and economy of humanity. In addition, the disease is observed in domestic and wild animals. The disease has impacted directly and indirectly every corner of the planet. Currently, there are no effective therapies for the treatment of COVID-19. Vaccination to protect against COVID-19 started in December 2020. SARS-CoV-2 is an enveloped virus with a single-stranded RNA genome of 29.8 kb. More than two-thirds of the genome comprise Orf1ab encoding 16 nonstructural proteins (nsps) followed by mRNAs encoding structural proteins, spike (S), envelop (E), membrane (M), and nucleocapsid (N). These genes are interspaced with several accessory genes (open reading frames [Orfs] 3a, 3b, 6, 7a, 7b, 8, 9b, 9c, and 10). The functions of these proteins are of particular interest for understanding the pathogenesis of SARS-CoV-2. Several of the nsps (nsp3, nsp4, and nsp6) and Orf3a are transmembrane proteins involved in regulating the host immunity, modifying host cell organelles for viral replication and escape and hence considered drug targets. In this paper, we report mapping the transmembrane structure of the nsps of SARS-CoV-2.

Related Organizations
Keywords

Protein Conformation, SARS-CoV-2, Viral Nonstructural Proteins, Research Articles

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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!
31
Top 10%
Top 10%
Top 10%
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