Resumen: The objetive of the study was to develop a database of polyphenols in red wine and identify posible targets. Using network pharmacology as a suitable tool to discover bioactive compounds for therapeutic targets with the combination of open source databases like PubChem, CTD, STITCH, STRING, DAVID, and more, it was possible to build a red wine polyphenol database with 144 polyphenols, identifying curated and inferred associations with diseases, genes, pathways, gene ontologies and protein-protein interactions. Using the database it was possible to identify targets for lung cancer based on the genes that are critical according to the enrichment pathway, together with centrality and degree analysis, founding 23 polyphenols in red wine affecting TP53 related to Non-small cell Lung Cancer (NSCLC).