Analysis of chemical and biological features yields mechanistic insights into drug side effects.

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The SIDER database of drugs and side effects (2015, background): “For example, it was shown that ADRs can be used to predict drug targets (1) and that causal relations between targets and ADRs can be elucidated (2,3).”
STITCH 4: integration of protein–chemical interactions with user data (2013, methodology): “Many research groups have already used STITCH 3 in this way; a few examples illustrating different utilities follow: STITCH has been used to determine which proteins cause side effects during drug treat-ment (38,39) by combining the STITCH network with data from a side effect database (40).”
A CTD–Pfizer collaboration: manual curation of 88 000 scientific articles text mined for drug–disease and drug–phenotype interactions (2013, background): “Computational toxicology methods and advanced chemoinformatics can use these curated datasets, combined with molecular structure files, to correlate structural motifs and defined toxic endpoints to identify potential alerts for chemical-associated events for cardiovascular, neurological, hepatic or ”