Foodrugs: an exploratory mining web application for food – drug interactions

Le résumé fourni par la source

The consumption of supplement foods with an active role to prevent non-communicable diseases have increased during the last years raising concerns over the potential interactions with drugs, particularly in patients undergoing chronic therapy. However, the current knowledge of them in clinical practice has been reported to be unsatisfactory. Therefore, It is required to develop computational tools to exploit the vast information available in dispersed databases about food-drug interactions. We present FOODRUGS, a friendly-user webapp to access and explore putative food-drug interactions. Users can explore transcriptomic relationships between food and drugs through a similarity bipartite network built with 585 food transcriptomic profiles from GEO and the CMAP database for drug profiles. Food and drug nodes are connected by a positive or negative tau score representing the similarity (positive) or dissimilarity (negative) relationship, meaning for a putative similar or opposite mechanism of action. In addition, enrichment analysis to annotate drug compounds for a food node can be performed. Lastly, more than 2.500 scientific documents from Pubmed, drugbank and drugs.com can be consulted after applying NLP techniques to extract relevant food-drug interactions.

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