1. A strategy for early-risk predictions of clinical drug-drug interactions involving the GastroPlus TM DDI module for time-dependent CYP inhibitors.
- Author
-
Sohlenius-Sternbeck AK, Meyerson G, Hagbjörk AL, Juric S, and Terelius Y
- Subjects
- Animals, Humans, Computer Simulation, Cytochrome P-450 Enzyme Inhibitors pharmacokinetics, Cytochrome P-450 Enzyme System metabolism, Drug Discovery methods, Drug Interactions, Models, Biological
- Abstract
1. A set of reference compounds for time-dependent inhibition (TDI) of cytochrome P450 with available literature data for k
inact and KI was used to predict clinical implications using the GastroPlusTM software. Comparisons were made to in vivo literature interaction data. 2. The predicted AUC ratios (AUC+inhibitor /AUCcontrol ) could be compared with the observed ratios from literature for all compounds with detailed information about in vivo administration, pharmacokinetics and in vivo interactions (N = 21). For this dataset, the difference between predicted and observed AUC ratios for interactions with midazolam was within twofold for all compounds except one (telaprevir, for which non-CYP-mediated metabolism likely plays a role after multiple dosing). 3. The sensitivity, specificity and accuracy of the GastroPlusTM predictions using a binary classification as no-to-weak interaction versus moderate-to-strong interaction for all compounds with available in vivo interaction data, were 80%, 82% and 81%, respectively (N = 31). 4. As a result of our evaluations of the DDI module in GastroPlusTM , we have implemented an early TDI risk assessment decision tree for our drug discovery projects involving in vitro screening and early GastroPlusTM predictions. Shifted IC50 values are determined and kinact /KI estimated (by using a regression line established with in house-shifted IC50 values and literature kinact /KI ratios), followed by GastroPlusTM predictions.- Published
- 2018
- Full Text
- View/download PDF