PT  - JOURNAL ARTICLE
AU  - Ines A. Smit
AU  - Avid M. Afzal
AU  - Chad H. G. Allen
AU  - Fredrik Svensson
AU  - Thierry Hanser
AU  - Andreas Bender
TI  - Systematic analysis of protein targets associated with adverse events of drugs from clinical trials and post-marketing reports
AID  - 10.1101/2020.06.12.135939
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.06.12.135939
4099  - http://biorxiv.org/content/early/2020/06/13/2020.06.12.135939.short
4100  - http://biorxiv.org/content/early/2020/06/13/2020.06.12.135939.full
AB  - Adverse drug reactions (ADRs) are undesired effects of medicines that can harm patients and are a significant source of attrition in drug development. ADRs are anticipated by routinely screening drugs against secondary pharmacology protein panels. However, there is still a lack of quantitative information on the links between these off-target proteins and the risk of ADRs in humans. Here, we present a systematic analysis of associations between measured and predicted in vitro bioactivities of drugs, and adverse events (AEs) in humans from two sources of data: the Side Effect Resource (SIDER), derived from clinical trials, and the Food and Drug Administration Adverse Event Reporting System (FAERS), derived from post-marketing surveillance. The ratio of a drug’s in vitro potency against a given protein relative to its therapeutic unbound drug plasma concentration was used to select proteins most likely to be relevant to in vivo effects. In examining individual target bioactivities as predictors of AEs, we found a trade-off between the Positive Predictive Value and the fraction of drugs with AEs that can be detected, however considering sets of multiple targets for the same AE can help identify a greater fraction of AE-associated drugs. Of the 45 targets with statistically significant associations to AEs, 30 are included on existing safety target panels. The remaining 15 targets include 8 carbonic anhydrases, of which CA5B was significantly associated with cholestatic jaundice. We include the full quantitative data on associations between in vitro bioactivities and AEs in humans in this work, which can be used to make a more informed selection of safety profiling targets.Competing Interest StatementThe authors have declared no competing interest.