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An automated positive selection screen in yeast provides support for boron-containing compounds as inhibitors of SARS-CoV-2 main protease.
- Source :
-
Microbiology spectrum [Microbiol Spectr] 2024 Oct 03; Vol. 12 (10), pp. e0124924. Date of Electronic Publication: 2024 Aug 20. - Publication Year :
- 2024
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Abstract
- The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus continues to cause severe disease and deaths in many parts of the world, despite massive vaccination efforts. Antiviral drugs to curb an ongoing infection remain a priority. The virus-encoded 3C-like main protease (MPro; nsp5) is seen as a promising target. Here, with a positive selection genetic system engineered in Saccharomyces cerevisiae using cleavage and release of MazF toxin as an indicator, we screened in a robotized setup small molecule libraries comprising ~2,500 compounds for MPro inhibitors. We detected eight compounds as effective against MPro expressed in yeast, five of which are characterized proteasome inhibitors. Molecular docking indicates that most of these bind covalently to the MPro catalytically active cysteine. Compounds were confirmed as MPro inhibitors in an in vitro enzymatic assay. Among those were three previously only predicted in silico ; the boron-containing proteasome inhibitors bortezomib, delanzomib, and ixazomib. Importantly, we establish reaction conditions in vitro preserving the MPro-inhibitory activity of the boron-containing drugs. These differ from the standard conditions, which may explain why boron compounds have gone undetected in screens based on enzymatic in vitro assays. Our screening system is robust and can find inhibitors of a specific protease that are biostable, able to penetrate a cell membrane, and are not generally toxic. As a cellular assay, it can detect inhibitors that fail in a screen based on an in vitro enzymatic assay using standardized conditions, and now give support for boron compounds as MPro inhibitors. This method can also be adapted for other viral proteases.IMPORTANCEThe coronavirus disease 2019 (COVID-19) pandemic triggered the realization that we need flexible approaches to find treatments for emerging viral threats. We implemented a genetically engineered platform in yeast to detect inhibitors of the virus's main protease (MPro), a promising target to curb severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. Screening molecule libraries, we identified candidate inhibitors and verified them in a biochemical assay. Moreover, the system detected boron-containing molecules as MPro inhibitors. Those were previously predicted computationally but never shown effective in a biochemical assay. Here, we demonstrate that they require a non-standard reaction buffer to function as MPro inhibitors. Hence, our cell-based method detects protease inhibitors missed by other approaches and provides support for the boron-containing molecules. We have thus demonstrated that our platform can screen large numbers of chemicals to find potential inhibitors of a viral protease. Importantly, the platform can be modified to detect protease targets from other emerging viruses.<br />Competing Interests: The authors declare no conflict of interest.
- Subjects :
- Protease Inhibitors pharmacology
Protease Inhibitors metabolism
Protease Inhibitors chemistry
Humans
Bortezomib pharmacology
Drug Evaluation, Preclinical methods
Small Molecule Libraries pharmacology
COVID-19 Drug Treatment
Glycine analogs & derivatives
Glycine pharmacology
Glycine metabolism
High-Throughput Screening Assays methods
COVID-19 virology
SARS-CoV-2 drug effects
SARS-CoV-2 genetics
SARS-CoV-2 enzymology
Saccharomyces cerevisiae genetics
Saccharomyces cerevisiae enzymology
Saccharomyces cerevisiae drug effects
Antiviral Agents pharmacology
Coronavirus 3C Proteases antagonists & inhibitors
Coronavirus 3C Proteases metabolism
Coronavirus 3C Proteases genetics
Molecular Docking Simulation
Boron Compounds pharmacology
Boron Compounds chemistry
Boron Compounds metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2165-0497
- Volume :
- 12
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Microbiology spectrum
- Publication Type :
- Academic Journal
- Accession number :
- 39162260
- Full Text :
- https://doi.org/10.1128/spectrum.01249-24