Related Experiment Video
Updated: Jan 12, 2026

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Investigating Sulfotransferase Mediated Drug Interactions of Ethinylestradiol using a Physiologically Based
Harry P Moore1, Kuan-Fu Chen2, Aki T Heikkinen2
1Certara Predictive Technologies, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, Sheffield, UK. harry.moore@certara.com.
Abstract:
Ethinylestradiol (EE) is a common estrogen used in combined oral contraceptives. CYP3A4 and SULT1E1 are the major enzymes that metabolize EE, while CYP2C9 and UGT1A1 have minor contributions. Drug-drug interactions (DDIs) mediated by inhibition or induction of metabolism can adversely impact the safety and efficacy of EE. A physiologically-based pharmacokinetic (PBPK) model was previously developed and extensively verified to predict CYP3A4-mediated DDIs of EE. Recent clinical evidence showed increased EE exposure following coadministration with the SULT1E1 inhibitors etoricoxib and ziritaxestat, highlighting the need to expand the PBPK model to allow for predictions of SULT1E1-mediated DDIs. A PBPK model including SULT metabolism of EE was constructed and the interactions with PBPK models developed for etoricoxib and ziritaxestat were simulated. The observed EE concentrations were within the simulated 95% percentiles for the control and the DDI scenario. The predicted ratios for peak concentration (Cmax) and area under concentration-time curve (AUCt) were within 1.5-fold of the observed data. The simulations demonstrated that clinically relevant DDIs may not be expected when EE is co-administered with 120 mg etoricoxib QD but may be expected with 600 mg QD ziritaxestat QD. A simulated dose reduction from 35 µg to 20 µg, when co-administered with ziritaxestat, was predicted to produce EE exposures in a similar range to when 35 µg is administered alone. The developed PBPK models for etoricoxib and ziritaxestat can be used in future applications as probe SULT1E1 precipitants. Incorporation of SULT metabolism into the EE PBPK model may support a more comprehensive assessment of the DDI liability of investigational drugs that affect multiple EE metabolic pathways.
Related Concept Videos
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance
A recent model describes pravastatin's hepatobiliary excretion,...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Model Approaches for Pharmacokinetic Data: Physiological Models
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
Physiological Pharmacokinetic Models: Assumption with Protein Binding
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...

