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Identification of SARS-CoV-2 3CL Protease Inhibitors by a Quantitative High-throughput Screening
Preprint
in English
| bioRxiv
| ID: ppbiorxiv-207019
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
The outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emphasized the urgency to develop effective therapeutics. Drug repurposing screening is regarded as one of the most practical and rapid approaches for the discovery of such therapeutics. The 3C like protease (3CLpro), or main protease (Mpro) of SARS-CoV-2 is a valid drug target as it is a specific viral enzyme and plays an essential role in viral replication. We performed a quantitative high throughput screening (qHTS) of 10,755 compounds consisting of approved and investigational drugs, and bioactive compounds using a SARS-CoV-2 3CLpro assay. Twenty-three small molecule inhibitors of SARS-CoV-2 3CLpro have been identified with IC50s ranging from 0.26 to 28.85 M. Walrycin B (IC50 = 0.26 {micro}M), Hydroxocobalamin (IC50 = 3.29 {micro}M), Suramin sodium (IC50 = 6.5 {micro}M), Z-DEVD-FMK (IC50 = 6.81 {micro}M), LLL-12 (IC50 = 9.84 {micro}M), and Z-FA-FMK (IC50 = 11.39 {micro}M) are the most potent 3CLpro inhibitors. The activities of anti-SARS-CoV-2 viral infection was confirmed in 7 of 23 compounds using a SARS-CoV-2 cytopathic effect assay. The results demonstrated a set of SARS-CoV-2 3CLpro inhibitors that may have potential for further clinical evaluation as part of drug combination therapies to treating COVID-19 patients, and as starting points for chemistry optimization for new drug development.
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Full text:
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Collection:
Preprints
Database:
bioRxiv
Type of study:
Experimental_studies
/
Prognostic study
Language:
English
Year:
2020
Document type:
Preprint