Novel models for the prediction of drug–gene interactions

Introduction Adverse drug reactions (ADRs) are among the leading causes of death, and frequently associated with drug–gene interactions (DGIs). In addition to pharmacogenomic programs for implementation of genetic preemptive testing into clinical practice, mathematical modeling can help to understand, quantify and predict the effects of DGIs in vivo. Moreover, modeling can contribute to optimize prospective clinical drug trial activities and to...