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Metabolic reconstruction of the human pathogen Candida auris

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dc.contributor.authorViana, Romeu
dc.contributor.authorCarreiro, Tiago
dc.contributor.authorCouceiro, Diogo
dc.contributor.authorDias, Oscar
dc.contributor.authorRocha, Isabel
dc.contributor.authorTeixeira, Miguel Cacho
dc.contributor.institutionInstituto de Tecnologia Química e Biológica António Xavier (ITQB)
dc.contributor.pblFederation of European Microbiological Societies | Oxford University Press
dc.date.accessioned2024-04-01T00:11:43Z
dc.date.available2024-04-01T00:11:43Z
dc.date.issued2023
dc.descriptionFunding Information: This work was supported by “Fundação para a Ciência e a Tecnologia” (FCT) (Contract PTDC/BII-BIO/28216/2017 and AEM PhD grant to RV). Funding received from project LISBOA-01-0145-FEDER-022231-the BioData.pt Research Infrastructure is acknowledged. This work was further financed by national funds from FCT in the scope of the project UIDB/04565/2020 and UIDP/04565/2020 of the Research Unit Institute for Bioengineering and Biosciences—iBB, project UIDB/04469/2020 for the Centre of Biological Engineering—CEB, and the project LA/P/0140/2020 of the Associate Laboratory Institute for Health and Bioeconomy—i4HB. Publisher Copyright: © The Author(s) 2023. Published by Oxford University Press on behalf of FEMS. All rights reserved.
dc.description.abstractCandida auris is an emerging human pathogen, associated with antifungal drug resistance and hospital candidiasis outbreaks. In this work, we present iRV973, the first reconstructed Genome-scale metabolic model (GSMM) for C. auris. The model was manually curated and experimentally validated, being able to accurately predict the specific growth rate of C. auris and the utilization of several sole carbon and nitrogen sources. The model was compared to GSMMs available for other pathogenic Candida species and exploited as a platform for cross-species comparison, aiming the analysis of their metabolic features and the identification of potential new antifungal targets common to the most prevalent pathogenic Candida species. From a metabolic point of view, we were able to identify unique enzymes in C. auris in comparison with other Candida species, which may represent unique metabolic features. Additionally, 50 enzymes were identified as potential drug targets, given their essentiality in conditions mimicking human serum, common to all four different Candida models analysed. These enzymes represent interesting drug targets for antifungal therapy, including some known targets of antifungal agents used in clinical practice, but also new potential drug targets without any human homolog or drug association in Candida species.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent771961
dc.identifier.doi10.1093/femsyr/foad045
dc.identifier.issn1567-1356
dc.identifier.otherPURE: 85127144
dc.identifier.otherPURE UUID: 0d1c9a09-58c2-467d-9c89-621d5c235fd6
dc.identifier.otherScopus: 85176977712
dc.identifier.otherPubMed: 37852663
dc.identifier.urihttp://hdl.handle.net/10362/165658
dc.identifier.urlhttps://www.scopus.com/pages/publications/85176977712
dc.language.isoeng
dc.peerreviewedyes
dc.subjectC. auris
dc.subjectdrug target
dc.subjectgene essentiality
dc.subjectGlobal stoichiometric model
dc.subjectmetabolic features
dc.subjectMicrobiology
dc.subjectApplied Microbiology and Biotechnology
dc.titleMetabolic reconstruction of the human pathogen Candida aurisen
dc.title.subtitleusing a cross-species approach for drug target predictionen
dc.typejournal article
degois.publication.titleFEMS Yeast Research
degois.publication.volume23
dspace.entity.typePublication
rcaap.rightsopenAccess

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