In Vivo Quantitative Prediction of the Effect of Gene Polymorphisms and Drug Interactions on Drug Exposure for CYP2C19 Substrates

S Goutelle, L Bourguignon, N Bleyzac, J Berry… - The AAPS journal, 2013 - Springer
We present a unified quantitative approach to predict the in vivo alteration in drug exposure
caused by either cytochrome P450 (CYP) gene polymorphisms or CYP-mediated drug–drug …

Evaluation of the use of static and dynamic models to predict drug-drug interaction and its associated variability: impact on drug discovery and early development

SA Peters, PE Schroeder, N Giri, H Dolgos - Drug Metabolism and …, 2012 - ASPET
Simcyp, a population-based simulator, is widely used for evaluating drug-drug interaction
(DDI) risks in healthy and disease populations. We compare the prediction performance of …

Development of a Korean‐specific virtual population for physiologically based pharmacokinetic modelling and simulation

Y Kim, O Hatley, S Rhee, S Yi, HA Lee… - … & Drug Disposition, 2019 - Wiley Online Library
Physiologically based pharmacokinetic (PBPK) modelling and simulation is a useful tool in
predicting the PK profiles of a drug, assessing the effects of covariates such as …

Predicting nonlinear pharmacokinetics of omeprazole enantiomers and racemic drug using physiologically based pharmacokinetic modeling and simulation …

F Wu, L Gaohua, P Zhao, M Jamei, SM Huang… - Pharmaceutical …, 2014 - Springer
Purpose The objective of this study is to develop a physiologically-based pharmacokinetic
(PBPK) model for each omeprazole enantiomer that accounts for nonlinear PK of the two …

[HTML][HTML] Physiologically Based Pharmacokinetic Models for Prediction of Complex CYP2C8 and OATP1B1 (SLCO1B1) Drug–Drug–Gene Interactions: A Modeling …

D Türk, N Hanke, S Wolf, S Frechen, T Eissing… - Clinical …, 2019 - Springer
Abstract Background Drug–drug interactions (DDIs) and drug–gene interactions (DGIs) pose
a serious health risk that can be avoided by dose adaptation. These interactions are …

Prediction of in vivo drug–drug interactions from in vitro data: impact of incorporating parallel pathways of drug elimination and inhibitor absorption rate constant

HS Brown, K Ito, A Galetin… - British journal of clinical …, 2005 - Wiley Online Library
Aims Success of the quantitative prediction of drug–drug interactions via inhibition of CYP‐
mediated metabolism from the inhibitor concentration at the enzyme active site ([I]) and the …

An optimized methodology for combined phenotyping and genotyping on CYP2D6 and CYP2C19

WJ Tamminga, J Wemer, B Oosterhuis… - European journal of …, 2001 - Springer
A method for simultaneous phenotyping and genotyping for CYP2D6 and CYP2C19 was
tested. Six healthy volunteers were selected (three extensive and three poor metabolisers …

Predicting drug clearance from recombinantly expressed CYPs: intersystem extrapolation factors

NJ Proctor, GT Tucker, A Rostami-Hodjegan - Xenobiotica, 2004 - Taylor & Francis
1. Recombinantly expressed human cytochromes P450 (rhCYPs) have been underused for
the prediction of human drug clearance (CL). 2. Differences in intrinsic activity (per unit CYP) …

Predictive in vitro-in vivo extrapolation for time dependent inhibition of CYP1A2, CYP2C8, CYP2C9, CYP2C19, and CYP2D6 using pooled human hepatocytes …

D Ramsden, ES Perloff, A Whitcher-Johnstone… - Drug Metabolism and …, 2022 - ASPET
Inactivation of Cytochrome P450 (CYP450) enzymes can lead to significant increases in
exposure of comedicants. The majority of reported in vitro to in vivo extrapolation (IVIVE) …

Prediction of phase I single-dose pharmacokinetics using recombinant cytochromes P450 and physiologically based modelling

CR Gibson, A Bergman, P Lu, F Kesisoglou… - Xenobiotica, 2009 - Taylor & Francis
Ten compounds from the Merck Research Laboratories pipeline were selected to evaluate
the utility of using intrinsic clearance derived from recombinantly expressed cytochromes …