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https://doi.org/10.1101/2020.0...
Article . 2020 . Peer-reviewed
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Repurposing low–molecular-weight drugs against the main protease of severe acute respiratory syndrome coronavirus 2

Authors: Gao, Jia; Zhang, Liang; Liu, Xiaodan; Li, Fudong; Ma, Rongsheng; Zhu, Zhongliang; Zhang, Jiahai; +5 Authors

Repurposing low–molecular-weight drugs against the main protease of severe acute respiratory syndrome coronavirus 2

Abstract

AbstractThe coronavirus disease (COVID-19) pandemic caused by infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected the global healthcare system. Drug repurposing is a feasible method for emergency treatment. As low–molecular-weight drugs have high potential to completely match interactions with essential SARS-CoV-2 targets, we propose a strategy to identify such drugs using the fragment-based approach. Herein, using ligand- and protein-observed fragment screening approaches, we identified niacin and hit1binding to the catalytic pocket of the main protease of the SARS-CoV-2 (Mpro), thereby modestly inhibiting the enzymatic activity of Mpro. Chemical shift perturbations induced by niacin and hit1indicate a partial overlap of their binding sites, i.e., the catalytic pocket of Mpromay accommodate derivatives with large molecular sizes. Therefore, we searched for drugs containing niacin or hit1pharmacophores and identified carmofur, bendamustine, triclabendazole, and emedastine; these drugs are highly capable of inhibiting protease activity. Our study demonstrates that the fragment-based approach is a feasible strategy for identifying low–molecular-weight drugs against the SARS-CoV-2 and other potential targets lacking specific drugs.

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Keywords

Models, Molecular, Dose-Response Relationship, Drug, SARS-CoV-2, Drug Repositioning, Antiviral Agents, Molecular Weight, Betacoronavirus, Protein Domains, General Materials Science, Physical and Theoretical Chemistry, Peptide Hydrolases

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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!
25
Top 10%
Average
Top 10%
Green
hybrid