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Explosion of the availability of big data sources along with the development in computational methods provides a useful framework to study drugs' actions, such as interactions with pharmacological targets and off-targets. Databases related to protein interactions, adverse effects and genomic profiles are available to be used for the construction of computational models. In this article, we focus on the description of biological profiles for drugs that can be used as a system to comparedoi:10.1093/bib/bbw048 pmid:27273288 pmcid:PMC6078166 fatcat:yeoxzrbacnbuplvfppmazr6ziq