[图书][B] Assessment of degradation rate constants for quantitative predictions of drug-drug interactions arising from CYP450 drug metabolising enzymes

CYS Chan - 2018 - search.proquest.com
The first-order degradation rate constant (k deg) of drug metabolising enzymes (DMEs) is a
known source of uncertainty in the prediction of time-dependent drug-drug interactions …

Prediction of pharmacokinetics and drug-drug interactions from in vitro metabolism data.

M Shou - Current opinion in drug discovery & development, 2005 - europepmc.org
There is great interest within the pharmaceutical industry in predicting the in vivo
pharmacokinetics (PKs) and metabolism-based drug-drug interactions (DDIs) of compounds …

Prediction of time-dependent CYP3A4 drug–drug interactions by physiologically based pharmacokinetic modelling: impact of inactivation parameters and enzyme …

KR Yeo, RL Walsky, M Jamei… - European Journal of …, 2011 - Elsevier
Predicting the magnitude of time-dependent metabolic drug–drug (mDDIs) interactions
involving cytochrome P-450 3A4 (CYP3A4) from in vitro data requires accurate knowledge …

Predictive performance of physiologically-based pharmacokinetic models in predicting drug–drug interactions involving enzyme modulation

CH Hsueh, V Hsu, Y Pan, P Zhao - Clinical Pharmacokinetics, 2018 - Springer
Background Physiologically-based pharmacokinetic (PBPK) modeling in predicting
metabolic drug–drug interactions (mDDIs) is routinely used in drug development. Currently …

Time-dependent enzyme inactivation: numerical analyses of in vitro data and prediction of drug-drug interactions

J Yadav, E Paragas, K Korzekwa, S Nagar - Pharmacology & therapeutics, 2020 - Elsevier
Cytochrome P450 (CYP) enzyme kinetics often do not conform to Michaelis-Menten
assumptions, and time-dependent inactivation (TDI) of CYPs displays complexities such as …

[图书][B] Evaluating Pharmacokinetic Drug-Drug Interactions Due to Time Dependent Inhibition of Cytochrome P450s

JD Yadav - 2018 - search.proquest.com
Time-dependent inactivation (TDI) of CYPs is a leading cause of clinical drug-drug
interactions (DDIs). Current methods tend to over-predict DDIs. In this study, a numerical …

Response to “Quantitative Prediction of Drug‐Drug Interactions Involving Inhibitory Metabolites by Physiologically Based Pharmacokinetic Models: Is It Worth?”

IE Templeton, Y Chen, J Mao, J Lin, H Yu… - CPT …, 2017 - ncbi.nlm.nih.gov
In our recently published article, 1 we demonstrated that physiologically based
pharmacokinetic (PBPK) modeling provides mechanistic understanding for the observed …

Projections of Drug-Drug Interactions Caused by Time-Dependent Inhibitors of Cytochrome P450 1A2, 2B6, 2C8, 2C9, 2C19, and 2D6 Using In Vitro Data in Static and …

E Tseng, J Lin, TJ Strelevitz, E DaSilva… - Drug Metabolism and …, 2024 - ASPET
In vitro time-dependent inhibition (TDI) kinetic parameters for cytochrome P450 (P450) 1A2,
2B6, 2C8, 2C9, 2C19, and 2D6 were determined in pooled human liver microsomes for 19 …

Improved predictions of drug–drug interactions mediated by time-dependent inhibition of CYP3A

J Yadav, K Korzekwa, S Nagar - Molecular pharmaceutics, 2018 - ACS Publications
Time-dependent inactivation (TDI) of cytochrome P450s (CYPs) is a leading cause of clinical
drug–drug interactions (DDIs). Current methods tend to overpredict DDIs. In this study, a …

Prediction of time-dependent CYP3A4-mediated in vivo drug-drug interactions from in vitro data using biological information on enzyme turnover implemented within a …

KR Yeo, M Jamei, J Yang, GT Tucker… - 2008 - certara.com
Predicting the magnitude of time-dependent metabolic drug-drug (mDDIs) interactions
involving cytochrome P-450 3A4 (CYP3A4) from in vitro data requires accurate knowledge …