Enriching the FIDEO ontology with food-drug interactions from online knowledge sources
- PMID: 38438913
- PMCID: PMC10913206
- DOI: 10.1186/s13326-024-00302-5
Enriching the FIDEO ontology with food-drug interactions from online knowledge sources
Abstract
The 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.
Keywords: Adverse drug effects; Biomedical ontology; FAIR principles; Food-drug interactions.
© 2024. The Author(s).
Conflict of interest statement
The authors declare no competing interests.
Figures





Similar articles
-
Prescription of Controlled Substances: Benefits and Risks.2025 Jul 6. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2025 Jul 6. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 30726003 Free Books & Documents.
-
The Black Book of Psychotropic Dosing and Monitoring.Psychopharmacol Bull. 2024 Jul 8;54(3):8-59. Psychopharmacol Bull. 2024. PMID: 38993656 Free PMC article. Review.
-
Short-Term Memory Impairment.2024 Jun 8. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2024 Jun 8. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 31424720 Free Books & Documents.
-
Sexual Harassment and Prevention Training.2024 Mar 29. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2024 Mar 29. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 36508513 Free Books & Documents.
-
[Volume and health outcomes: evidence from systematic reviews and from evaluation of Italian hospital data].Epidemiol Prev. 2013 Mar-Jun;37(2-3 Suppl 2):1-100. Epidemiol Prev. 2013. PMID: 23851286 Italian.
Cited by
-
Predicting Natural Product-Drug Interactions with Knowledge Graph Embeddings.AMIA Jt Summits Transl Sci Proc. 2025 Jun 10;2025:556-565. eCollection 2025. AMIA Jt Summits Transl Sci Proc. 2025. PMID: 40502231 Free PMC article.
References
-
- Bordea G, Randriatsitohaina T, Mougin F, Grabar N, Hamon T. Query selection methods for automated corpora construction with a use case in food-drug interactions. In: Proceedings of the 18th BioNLP Workshop and Shared Task. 2019. p. 115–24. https://aclanthology.org/W19-5013.pdf. Accessed 8 Feb 2024.
-
- MIAM project. https://miam.limsi.fr/. Accessed 19 Dec 2023.
-
- Randriatsitohaina T, Hamon T. Extracting Food-Drug Interactions from Scientific Literature: Tackling Unspecified Relation. Proc Conf Artif Intell Med Eur (AIME). 2019;275–80. 10.1007/978-3-030-21642-9_34.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources