The FooDrugs database stores information extracted from text documents and gene expression data for potential food-drug interactions.
FooDrugs hosts information for a total of 439338 text documents for 50,960 foods or bioactive compounds extracted from PubMed, Drug-Drug interaction corpus (Herrero-Zazo M et al, 2013) and clinicaltrials.gov. In addition, it stores 150 gene expression GEO series with 462 conditions for 293 food or bioactive compounds, each condition is defined as a food/biocomponent per time point, per concentration, per cell line, or primary culture, with the similarity scores for 6,395 perturbagens, including 2,545 drug compounds.
Developed by the Computational Biology Group at IMDEA Food Institute (Madrid, Spain).
The online platform is a go-to application that allows clinicians, nutritionists or researchers to quickly and easily access the data stored in the FooDrugs database for potential FDIs information.
The application is organised in 4 different tools: 1) The text documents search tool allows to explore potential FDIs in documents; 2) The food transcriptomic tool supports researcher to identify gene expression experiments of interest; 3) The Food Gene Set tool allows to explore those genes related with bioactive or food conditions; 4) Food-Drug gene expression similarity allows researchers to explore gene expression similarities between food and drug molecular profiles.
In addition, the application links to FooDrugs resources (e.g: database or code) and video tutorials about the usage of different tools are provided.
Developed by the Computational Biology Group at IMDEA Food Institute (Madrid, Spain)
FooDrugs is designed for clinicians, nutritionists and researchers working with bioactives, food supplements and personalised nutrition.
Three use cases were developed to demonstrate how to use the tool:
The three video tutorials demonstrating these use cases are available on the help page of the tool.
Food Nutrition Security Cloud (FNS-Cloud) has received funding from the European Union’s Horizon 2020 Research and Innovation programme (H2020-EU.22.214.171.124. – A sustainable and competitive agri-food industry) under Grant Agreement No. 863059. Information and views set out across this website are those of the Consortium and do not necessarily reflect the official opinion or position of the European Union. Neither European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use that may be made of the information contained herein.