Enhancing drug-drug Interaction Prediction by Integrating Physiologically-Based Pharmacokinetic Model with Fraction Metabolized by CYP3A4.

Background: Enhancing the precision of drug-drug interaction (DDI) prediction is essential for improving drug safety and efficacy. The aim is to identify the most effective fraction metabolized by CY3A4 () for improving DDI prediction using physiologically based pharmacokinetic (PBPK) models.

Research Design And Methods: The values were determined for 33 approved drugs using a human liver microsome for measurements and the ADMET Predictor software for in silico predictions.