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dc.rights.licenseopenen_US
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorAZZI, Rabia
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBORDEA, Georgeta
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorGRIFFIER, Romain
IDREF: 252908562
dc.contributor.authorNIKIEMA, Jean Noel
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorFLEUR, Mougin.
dc.date.accessioned2024-04-30T11:03:43Z
dc.date.available2024-04-30T11:03:43Z
dc.date.issued2024-03-04
dc.identifier.issn2041-1480en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/199535
dc.description.abstractEnThe increasing number of articles on adverse interactions that may occur when specific foods are consumed with certain drugs makes it difficult to keep up with the latest findings. Conflicting information is available in the scientific literature and specialized knowledge bases because interactions are described in an unstructured or semi-structured format. The FIDEO ontology aims to integrate and represent information about food-drug interactions in a structured way. This article reports on the new version of this ontology in which more than 1700 interactions are integrated from two online resources: DrugBank and Hedrine. These food-drug interactions have been represented in FIDEO in the form of precompiled concepts, each of which specifies both the food and the drug involved. Additionally, competency questions that can be answered are reviewed, and avenues for further enrichment are discussed.
dc.description.sponsorshipMaladies, Interactions Alimentation-Médicaments - ANR-16-CE23-0012en_US
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enAdverse drug effects
dc.subject.enBiomedical ontology
dc.subject.enFAIR principles
dc.subject.enFood-drug interactions
dc.title.enEnriching the FIDEO ontology with food-drug interactions from online knowledge sources
dc.title.alternativeJ Biomed Semanticsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1186/s13326-024-00302-5en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed38438913en_US
dc.description.sponsorshipEuropeKnowledge graph completion using Artificial Neural Networks for Herb-Drug Interaction discoveryen_US
bordeaux.journalJournal of Biomedical Semanticsen_US
bordeaux.volume15en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamAHEAD_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04564133
hal.version1
hal.date.transferred2024-04-30T11:03:45Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Biomedical%20Semantics&rft.date=2024-03-04&rft.volume=15&rft.issue=1&rft.eissn=2041-1480&rft.issn=2041-1480&rft.au=AZZI,%20Rabia&BORDEA,%20Georgeta&GRIFFIER,%20Romain&NIKIEMA,%20Jean%20Noel&FLEUR,%20Mougin.&rft.genre=article


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