A crucial step to predict exposure changes of drugs due to pairwise and multiple drug drug interactions has been accomplished. 51 drug drug interactions (DDI) were evaluated by comparing drug exposure values (AUC) assessed based on pharmacokineticly relevant drug properties with published in vivo data. For this purpose the MDDI Calculator of SCHOLZ DataBank was used. It can be concluded that the MDDI Calculator is able to compute changes of drug exposure in pairwise kinetic DDI in a very reliable and excellent manner. Furthermore, based on the property settings of ingredients according to the available pairwise in vivo data, AUC changes for multiple pharmacokinetic drug drug interactions (MDDI) may be predicted. The predictive power of the MDDI calculator for MDDI is very well confirmed when looking at the few multiple drug drug interactions where in vivo data is available. Regarding in summary all 51 pairwise and 3 triple DDI researched, the AUC values, in all cases assessed with less than +- 10% deviation from in vivo data, surpassed substantially the set “excellency” target range of 100% +- 24%. SCHOLZ DataBank provides MDDI meaningful knowledge for about 700 active ingredients, substrates and inhibitors, representing those drugs which may cause by major or multiple minor drug drug interactions clinically relevant adverse reactions. Thereby millions of different polypharmacy scenarios which daily might be prescribed by doctors to multimorbide patients in the U.S. could quickly be screened at the point of care to identify risks from hazardous combinations of medications including those which are hidden behind multiple minor drug drug interactions.           

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