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Text mining and data integration methods are gaining ground in the field of health sciences due to the exponential growth of bio-medical literature and information stored in biological databases. While such methods mostly try to extract bioentity associations from PubMed, very few of them are dedicated in mining other types of repositories such as chemical databases. Results: Herein, we apply a text mining approach on the DrugBank database in order to explore drug associations based on thedoi:10.1186/s12859-016-1041-6 pmid:27295093 pmcid:PMC4905607 fatcat:ss7fan4ucrgplgdudidmq7adwm