modelVemurafenib
Extends from Pharmacolibrary.Drugs.ATC.L.L01EC01.
Information
| name: | Vemurafenib | |
| ATC code: | L01EC01 | route: | oral |
| compartments: | 2 | |
| dosage: | 960 | mg |
| volume of distribution: | 106 | L |
| clearance: | 31.9 | L/h |
| other parameters in model implementation | ||
Vemurafenib is an oral small molecule inhibitor of the BRAF serine-threonine kinase, specifically targeting the BRAF V600E mutation. It is primarily approved for the treatment of unresectable or metastatic melanoma with BRAF V600E mutation and is currently used clinically for this indication.
Pharmacokinetics
Population pharmacokinetic analysis in adult cancer patients (melanoma), both sexes, oral dosing at steady state.
References
Zhang, W, et al., & Grippo, JF (2017). Clinical Pharmacokinetics of Vemurafenib. Clinical pharmacokinetics 56(9) 1033–1043. DOI:10.1007/s40262-017-0523-7 PUBMED:https://pubmed.ncbi.nlm.nih.gov/28255850
Wang, H, et al., & Ivaturi, V (2020). Population Pharmacokinetics of Vemurafenib in Children With Recurrent/Refractory BRAF Gene V600E-Mutant Astrocytomas. Journal of clinical pharmacology 60(9) 1209–1219. DOI:10.1002/jcph.1617 PUBMED:https://pubmed.ncbi.nlm.nih.gov/32476174
Parameters
| Type | Name | Default | Description |
|---|---|---|---|
| Modelica.Units.SI.Mass | weight (from PK_1C) | 75 | patient weight (kg) |
| Modelica.Units.SI.SpecificVolume | VdPerKg (from PK_1C) | 0.9 | Volume of distribution (L/kg) |
| Modelica.Units.SI.MassFraction | F (from PK_1C) | 0.8 | bioavailiability (0-1) |
| Pharmacolibrary.Types.Clearance | Cl (from PK_1C) | 20 | clearance |
| Modelica.Units.SI.Time | adminTime (from PK_1C) | 60 | first administration time (s) |
| Modelica.Units.SI.Time | adminDuration (from PK_1C) | 600 | administration duration (s) |
| Modelica.Units.SI.Time | adminPeriod (from PK_1C) | 8*60*60 | period of administration (default 8 hours)(s) |
| Pharmacolibrary.Types.Mass | adminMass (from PK_1C) | 1000 | administration mass (mg) |
| Integer | adminCount (from PK_1C) | 8 | number of dose administered (1) |
| Pharmacolibrary.Types.Volume | Vd (from PK_1C) | VdPerKg*weight | Volume of distribution (m3) |
| Pharmacolibrary.Types.MassConcentration | Cmin (from PK_1C) | 0.004 | minimal therapeutic range |
| Pharmacolibrary.Types.MassConcentration | Cmax (from PK_1C) | 0.008 | minimal therapeutic range |
| Pharmacolibrary.Types.MassConcentration | Ctox_peak (from PK_1C) | 0.012 | toxicity peak level |
| Pharmacolibrary.Types.MassConcentration | Ctox_trough (from PK_1C) | 0.006 | toxicity trough level |
| Pharmacolibrary.Types.Volume | Vdp (from PK_2C) | VdpPerKg*weight | Volume of distribution (m3) |
| Modelica.Units.SI.SpecificVolume | VdpPerKg (from PK_2C) | 0.9 | Volume of distribution peripheral(l/kg) |
| Pharmacolibrary.Types.Clearance | k12 (from PK_2C) | 1 | intercompartmental C-P clearance |
| Pharmacolibrary.Types.Clearance | k21 (from PK_2C) | 1 | intercompartmental P-C clearance |
| Pharmacolibrary.Types.TransferRate | ka (from PK_2C_enteral) | 0.016666666666666666 | first order absorption rate |
| Modelica.Units.SI.Time | Tlag (from PK_2C_enteral) | 600 | delay between oral administration and absorption (default 10min) |
Connectors
| Type | Name | Default | Description |
|---|---|---|---|
| Types.ConcentrationOutput | C_central (from PK_1C) | ||
| Interfaces.ConcentrationPort_b | centralCPort (from PK_1C) | ||
| Interfaces.ConcentrationPort_b | peripheralCPort (from PK_2C) | ||
| Pharmacolibrary.Types.ConcentrationOutput | C_peripheral1 (from PK_2C) |
Components
| Type | Name | Default | Description |
|---|---|---|---|
| Pharmacokinetic.NoPerfusedTissueCompartment | central (from PK_1C) | ||
| Pharmacokinetic.ClearanceDrivenElimination | elim (from PK_1C) | ||
| Sources.PeriodicDose | periodicDose (from PK_1C) | ||
| Modelica.Units.SI.Time | t1_2 (from PK_1C) | elimination half-life | |
| Pharmacolibrary.Pharmacokinetic.TransferFirstOrderNonSym | transfer (from PK_2C) | ||
| Pharmacolibrary.Pharmacokinetic.NoPerfusedTissueCompartment | peripheral (from PK_2C) |
Revisions
- 06/2025 Tomas Kulhanek, generated model from data extracted from PUBMED, DrugBank and LLM(GPT4.1)