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FooDrugs: a comprehensive food–drug interactions database with text documents and transcriptional data
dc.creator | Lacruz-Pleguezuelos, Blanca | |
dc.creator | Piette, Oscar | |
dc.creator | Garranzo, Marco | |
dc.creator | Pérez-Serrano, David | |
dc.creator | Milešević, Jelena | |
dc.creator | Espinosa-Salinas, Isabel | |
dc.creator | Ramírez de Molina, Ana | |
dc.creator | Laguna, Teresa | |
dc.creator | Carrillo de Santa Pau, Enrique | |
dc.date.accessioned | 2024-01-14T22:42:19Z | |
dc.date.available | 2024-01-14T22:42:19Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1758-0463 | |
dc.identifier.uri | http://rimi.imi.bg.ac.rs/handle/123456789/1401 | |
dc.description.abstract | Food–drug interactions (FDIs) occur when a food item alters the pharmacokinetics or pharmacodynamics of a drug. FDIs can be clinically relevant, as they can hamper or enhance the therapeutic effects of a drug and impact both their efficacy and their safety. However, knowledge of FDIs in clinical practice is limited. This is partially due to the lack of resources focused on FDIs. Here, we describe FooDrugs, a database that centralizes FDI knowledge retrieved from two different approaches: a natural processing language pipeline that extracts potential FDIs from scientific documents and clinical trials and a molecular similarity approach based on the comparison of gene expression alterations caused by foods and drugs. FooDrugs database stores a total of 3 430 062 potential FDIs, with 1 108 429 retrieved from scientific documents and 2 321 633 inferred from molecular data. This resource aims to provide researchers and clinicians with a centralized repository for potential FDI information that is free and easy to use. | |
dc.publisher | Oxford University Press | |
dc.relation | European Union’s Horizon 2020 Research and Innovation programme (H2020-EU.3.2.2.3.—A sustainable and competitive agri-food industry) (Grant Agreement No. 863059) | |
dc.relation | Institute of Health Carlos III (project IMPaCT-Data, exp. IMP/00019) | |
dc.relation | the European Union, European Regional Development Fund (‘A way to make Europe’); AI4FOOD-CM (Y2020/TCS-6654) project | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Database | |
dc.title | FooDrugs: a comprehensive food–drug interactions database with text documents and transcriptional data | |
dc.type | article | en |
dc.rights.license | BY | |
dc.citation.spage | baad075 | |
dc.citation.volume | 2023 | |
dc.identifier.doi | 10.1093/database/baad075 | |
dc.identifier.fulltext | http://rimi.imi.bg.ac.rs/bitstream/id/3266/bitstream_3266.pdf | |
dc.type.version | publishedVersion |