Predicting unintended effects of drugs based on off-target tissue effects.

Kim D, Lee J, Lee S, Park J, Lee D

Biochem. Biophys. Res. Commun. 469 (3) 399-404 [2016-01-15; online 2015-12-02]

Unintended effects of drugs can be caused by various mechanisms. Conventional analysis of unintended effects has focused on the target proteins of drugs. However, an interaction with off-target tissues of a drug might be one of the unintended effect-related mechanisms. We propose two processes to predict a drug's unintended effects by off-target tissue effects: 1) identification of a drug's off-target tissue and; 2) tissue protein - symptom relation identification (tissue protein - symptom matrix). Using this method, we predicted that 1,177 (10.7%) side-effects were related to off-target tissue effects in 11,041 known side-effects. Off-target tissues and unintended effects of successful repositioning drugs were also predicted. The effectiveness of relations of the proposed tissue protein - symptom matrix were evaluated by using the literature mining method. We predicted unintended effects of drugs as well as those effect-related off-target tissues. By using our prediction, we are able to reduce drug side-effects on off-target tissues and provide a chance to identify new indications of drugs of interest.

Affiliated researcher

PubMed 26626077

DOI 10.1016/j.bbrc.2015.11.095

Crossref 10.1016/j.bbrc.2015.11.095

pii: S0006-291X(15)30964-5