Utilizing drug-target-event relationships to unveil safety patterns in pharmacovigilance

Research output: Contribution to journalJournal articleResearchpeer-review

INTRODUCTION: Signal detection is the most pivotal activity of signal management to guarantee that drugs maintain a positive risk-benefit ratio during their lifetime on the market. Signal detection is based on the systematic evaluation of available data sources, which have recently been extended in order to improve timely and comprehensive signal detection of drug safety problems.

AREAS COVERED: In recent years, attempts have been made to incorporate pharmacological data for the prediction of safety signals. Previous studies have shown that data on the pharmacological targets of drugs are predictive of post-marketing adverse events. However, current approaches limit such predictions to adverse events expected from the interaction of a drug with the main pharmacological target and do not take off-target interactions into consideration.

EXPERT OPINION: The authors propose the application of predictive modelling techniques utilizing pharmacological data from public databases for predicting drug-target-event relationships deriving from main- and off-target binding and from which potential safety signals can be deduced. Additionally, they provide an operative procedure for the identification of clinically relevant subgroups for predicted safety signals.

Original languageEnglish
JournalExpert Opinion on Drug Safety
ISSN1474-0338
DOIs
Publication statusE-pub ahead of print - 8 Jun 2020

ID: 242774374