ArticleBioData mining2025
FARFOOD: a database of potential interactions between food compounds and drugs.
Article in BioData mining, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Utilization of Spent Coffee Grounds as an Antioxidant Dietary Fiber in Beef Patties: Oxidative Stability, Texture Properties, and Molecular Docking.Food science & nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nutrition is a fundamental aspect in human life development, both from a socio-economic and medical perspective. In recent years, new personalized approaches have been added to the biochemical study of nutrients. These approaches consider both the effect of foods on the body and the role of genes in metabolizing or digesting different nutrients. Drug-food interactions have been known for decades, and databases like FooDrugs include curated interactions from multiple sources. In this paper we develop a method to predict potential interactions between foods and drugs based on the structural similarity between food compounds and medications. Our results have produced a database and an app to consult potential interactions between drugs and foods that we have called FARFOOD. Additionally, we validated two of these potential interactions with widely used drugs (lisinopril and bupropion) through structural docking between the ligand protein and the food compounds that are structurally similar to the drug. Moreover, patient surveys are used in the lisinopril and bupropion cases in addition to allopurinol to assess the possible effects of the potentially interacting foods on the symptoms of the conditions for which the medication is prescribed. In summary, this manuscript presents an interesting computational resource for predictive food-drug interaction analysis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.