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Production of Proteins of the SARS-CoV-2 Proteome for Drug Discovery

Authors: Choon Kim; Kiran V. Mahasenan; Atul Bhardwaj; Olaf Wiest; Mayland Chang; Shahriar Mobashery;

Production of Proteins of the SARS-CoV-2 Proteome for Drug Discovery

Abstract

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative agent of the coronavirus disease of 2019 (COVID-19). Its genome encodes two open reading frames for two large proteins, PP1a and PP1ab. Within the two polypeptide stretches, there are two proteases that process the large proteins into 15 discrete proteins essential for the assembly of the virion during its replication. We describe herein the cloning of the genes for these discrete proteins optimized for expression in Escherichia coli, production of the proteins, and their purification to homogeneity. These included all but six: NSP6, which possesses eight transmembrane regions, and five that are small proteins/peptides (E, ORF3b, ORF6, ORF7b, and ORF10). These proteins are intended for experimental validation of small-molecule binders as molecular template hits. The proof of concept was established with the ADP-ribosylhydrolase (ARH) domain of NSP3 in discovery of small-molecule templates that could serve as the basis for further optimization. The hit molecules include one submicromolar and a few low-micromolar binders to the ARH domain. Availability of these proteins in soluble forms opens up the opportunity for discoveries of novel templates with the potential for anti-COVID-19 pharmaceuticals.

Related Organizations
Keywords

Chemistry, QD1-999

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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!
12
Top 10%
Average
Top 10%
Green
gold