Dupilumab PK Simulator
Indication: Atopic Dermatitis
Population PK simulator for dupilumab (Dupixent) in atopic dermatitis. Explore weight-based dosing and exposure targets.
Drug Overview
Clinical Context
- Molecular Target
- IL-4Rα
- Drug Class
- mAb
- Therapeutic Area
- Immunology
- Indication
- Atopic Dermatitis
- Route of Administration
- SC
Model Information
- Model Type
- PopPK
This simulator was built from published pharmacometric literature using PKPDBuilder's AI-powered model extraction pipeline.
Pharmacokinetic Parameters
PK Parameters
| Parameter | Value |
|---|---|
| Q | 0.263 L/day |
| Ka | 0.263 1/day |
| Km | 2.08 mg/L |
| V2 | 2.76 L |
| Vc | 2.76 L |
| Vp | 1.61 L |
| Vmax | 1.39 mg/L/day |
| t half | ~16.6 days (linear component) |
| CL linear | 0.115 L/day |
| protein binding | minimal (target-mediated) |
| bioavailability SC | 0.609 |
Additional Parameters
| Parameter | Value |
|---|---|
| Ke | 0.0418 1/day |
| Fsc | 0.609 |
| K23 | 0.0952 1/day |
| K32 | 0.163 1/day |
| dose | 300 mg SC q2w (atopic dermatitis) |
| IIV CL | 19.6% CV (Ke) |
Parameters sourced from published population pharmacokinetic models. Values represent typical population estimates; individual patient parameters may vary.
About This Simulator
This interactive pharmacokinetic simulator for Dupilumab allows you to explore concentration-time profiles under different dosing scenarios. The underlying PopPK model characterizes the pharmacokinetics of this mab following sc administration.
Use the simulator to visualize key exposure metrics including AUC (area under the curve), Cmax (peak concentration), and Ctrough (trough concentration).
Built with PKPDBuilder — an AI-powered platform that transforms published pharmacometric literature into interactive, deployable Shiny applications. No coding required.
Frequently Asked Questions
What is the Dupilumab PK simulator?
This is a free, interactive pharmacokinetic simulator for Dupilumab used in Atopic Dermatitis. It allows researchers, pharmacologists, and students to explore concentration-time profiles, dosing regimens, and exposure metrics based on published population PK models.
What drug class does Dupilumab belong to?
Dupilumab is classified as a mAb that targets IL-4Rα. It is used in the Immunology therapeutic area.
What route of administration does this model simulate?
This simulator models SC administration of Dupilumab. The pharmacokinetic parameters (absorption rate, bioavailability, volume of distribution) are specific to this route.
What type of PK model is used?
This simulator uses a PopPK model. Population PK models account for interindividual variability and covariate effects on drug exposure.
Is this simulator free to use?
Yes, all PKPDBuilder simulators are completely free. They are built from published pharmacokinetic literature and are intended for research and educational purposes. No login is required to run simulations.
Can I use this for clinical dosing decisions?
No. This simulator is for research and educational purposes only. It should not be used for clinical decision-making or patient dosing. Always consult the prescribing information and clinical pharmacology guidelines for therapeutic drug use.
What is the half-life of Dupilumab?
Based on the published model parameters, the elimination half-life of Dupilumab is approximately ~16.6 days (linear component). Note that half-life can vary based on patient-specific factors such as body weight, organ function, and genetic polymorphisms.
What is the clearance of Dupilumab?
The clearance (CL) of Dupilumab is approximately 0.115 L/day. Clearance represents the volume of plasma from which drug is completely removed per unit time and is a key determinant of drug exposure and steady-state concentrations.
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Ready to Simulate?
Launch the Dupilumab simulator to explore dosing scenarios and pharmacokinetic profiles interactively.
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⚠️ Disclaimer
This simulator is for research and educational purposes only. It is not intended for clinical decision-making, patient dosing, or therapeutic drug monitoring. Pharmacokinetic parameters are derived from published literature and represent population-level estimates. Individual patient pharmacokinetics may differ significantly. Always consult approved prescribing information and qualified healthcare professionals for clinical decisions.
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