modelLonafarnib
Extends from Pharmacolibrary.Drugs.ATC.A.A16AX20.
Information
| name: | Lonafarnib | |
| ATC code: | A16AX20 | route: | oral |
| compartments: | 2 | |
| dosage: | 115 | mg |
| volume of distribution: | 146 | L |
| clearance: | 20.1 | L/h |
| other parameters in model implementation | ||
Lonafarnib is a farnesyltransferase inhibitor primarily indicated for the treatment of Hutchinson-Gilford Progeria Syndrome (HGPS). It is also under investigation for other progeroid laminopathies. The drug is orally administered and it is approved by the FDA for pediatric and adult patients with HGPS.
Pharmacokinetics
Pharmacokinetic parameters in children and young adults (median age 10.6 years, range 2.7–22.5 years) with Hutchinson-Gilford Progeria Syndrome (HGPS) following steady-state oral administration. Data extracted from multiple-dose (115 mg/m^2 twice daily with food) studies.
References
Zhu, Y, et al., & Cutler, DL (2007). Effect of food on the pharmacokinetics of lonafarnib (SCH 66336) following single and multiple doses. International journal of clinical pharmacology and therapeutics 45(10) 539–547. DOI:10.5414/cpp45539 PUBMED:https://pubmed.ncbi.nlm.nih.gov/17966839
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)