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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

dc.contributor.authorSigurdardóttir, Sunniva
dc.contributor.authorSilva, Suélen Fernandes [UNESP]
dc.contributor.authorTiukova, Ievgeniia
dc.contributor.authorAlalam, Hanna
dc.contributor.authorKing, Ross D.
dc.contributor.authorGrøtli, Morten
dc.contributor.authorEriksson, Leif A.
dc.contributor.authorSunnerhagen, Per
dc.contributor.editorPeter Pelka
dc.date.accessioned2026-04-17T14:09:04Z
dc.date.issued2024-08-20
dc.description.abstractThe 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 <i>Saccharomyces cerevisiae</i> 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 <i>in vitro</i> enzymatic assay. Among those were three previously only predicted <i>in silico</i>; the boron-containing proteasome inhibitors bortezomib, delanzomib, and ixazomib. Importantly, we establish reaction conditions <i>in vitro</i> 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 <i>in vitro</i> 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 <i>in vitro</i> 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.
dc.description.affiliationDepartment of Chemistry and Molecular Biology, University of Gothenburg, Göteborg, Sweden
dc.description.affiliationChemistry Institute, São Paulo State University, Araraquara, Brazil
dc.description.affiliationDepartment of Biology and Biological Engineering, Chalmers, Göteborg, Sweden
dc.description.affiliationUnespChemistry Institute, São Paulo State University, Araraquara, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1174902719
dc.identifier.dimensionspub.1174902719
dc.identifier.doi10.1128/spectrum.01249-24
dc.identifier.issn2165-0497
dc.identifier.orcid0009-0009-7617-6815
dc.identifier.orcid0000-0003-3984-4799
dc.identifier.orcid0000-0002-0408-3515
dc.identifier.orcid0000-0002-0468-6631
dc.identifier.orcid0000-0001-7208-4387
dc.identifier.orcid0000-0003-3621-4222
dc.identifier.orcid0000-0001-5654-3109
dc.identifier.orcid0000-0002-0967-8729
dc.identifier.pmcidPMC11448104
dc.identifier.pmid39162260
dc.identifier.urihttps://hdl.handle.net/11449/322158
dc.publisherAmerican Society for Microbiology
dc.relation.ispartofMicrobiology Spectrum; n. 10; v. 12; p. e01249-24
dc.rights.accessRightsAcesso abertopt
dc.rights.sourceRightsoa_all
dc.rights.sourceRightsgold
dc.sourceDimensions
dc.titleAn automated positive selection screen in yeast provides support for boron-containing compounds as inhibitors of SARS-CoV-2 main protease
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationbc74a1ce-4c4c-4dad-8378-83962d76c4fd
relation.isOrgUnitOfPublication.latestForDiscoverybc74a1ce-4c4c-4dad-8378-83962d76c4fd
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Química, Araraquarapt

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