… In order to avoid a false negative prediction of drug-drug interactions, we tried to evaluate the
… the following discussion of the prediction of drug-drug interactions after oral administration. …

… and perpetrator drugs parameters and are expected to provide quantitative predictions. The
… -based approaches to predict clinical pharmacokinetics and DDIs of drugs or NMEs that are …

… of the methods used to predict the magnitude of pharmacokinetic drug–drug interactions (DDIs) …
, inhibitor and inducer drugs involved in significant pharmacokinetic DDIs were selected …

… are based on pharmacokinetics (PK) … drugs on DDI prediction through interaction networks
including both PD and PK knowledge. Our assumption was that a query drug (Dq) and a drug …

… drug-drug interactions (DDIs) or genetic polymorphisms (ie, pharmacogenetics) on the
pharmacokinetics of substrate drugs … drug-metabolizing enzymes, can affect the pharmacokinetics …

Whereas ketoconazole is often used to study the worst-case scenario for clinical pharmacokinetic
drug-drug interactions (DDIs) for drugs that are primarily metabolized by CYP3A4, …

… drug interaction prediction models have been expressed with varying levels of complexity.
The simplest of these used to predict drug interaction risk… , predicted well the pharmacokinetic …

… predictions of human drug metabolism and pharmacokinetics, the in vivo characterization of
NCE metabolism, pharmacokinetics, and potential for drug-drug interactions … the prediction …

… to predicting preclinical/human PK but also to evaluating the drug-drug interaction (DDI) liability
at the drug … to illustrate the use of PBPK approach in predicting human PK as well as DDI …

… Co-administration of multiple drugs increases the prevalence of drug–drug interactions (DDIs),
and clinically significant DDIs are mainly mediated by pharmacokinetic (PK) mechanisms. …