Ustekinumab conditional exposure and PASI turnover
Two-compartment antibody PK and indirect PASI production inhibition under fixed published conditional-mean coefficients and specified SC calendars.
Exploration notes · What are you exploring?
Notes stay on this browser.
MODEL IN MOTION 18 sec
How do two fixed parameter sets change ustekinumab exposure and PASI?
Published parameter set 1 — exploratory 90 mg calendar
Deterministic fixed-parameter exploration with explicitly authored administrations and initial conditions.
0–616 day
Inputs changed since the displayed result. Run to update the comparison.
Loading starting example…
Biology
Follow antibody absorption, distribution, loss and PASI turnover under fixed published coefficient sets and specified SC histories.
Model details
10 parameters · 8 states · 8 equations · 25 derived outputs
Classification & API access
- Therapeutic
- Ustekinumab
- Modality
- Monoclonal antibody
- Target
- IL-12 / IL-23 p40
- Disease / scope
- Psoriasis
| Parameter | Default | Unit | Description |
|---|---|---|---|
Baseline PASIbaseline_pasi | 13.722 | — | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Bioavailabilitybioavailability | 0.93 | — | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Systemic clearancecl_l_day | 0.2 | L/day | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Half-maximal inhibitory concentrationic50_mg_l | 0.07 | mg/L | Reported fixed IC50 from Table2, shared across the conditional-mean projections. |
Maximum inhibitory effectimax | 0.968 | — | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Absorption rate constantka_per_day | 0.4 | 1/day | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Turnover loss ratekout_per_day | 0.019 | 1/day | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Intercompartmental clearanceq_l_day | 0.2 | L/day | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Central distribution volumevc_l | 3.52 | L | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Peripheral distribution volumevp_l | 2.1 | L | Published conditional-mean parameter set1; scenario-specific frozen values replace these defaults. |
Related models
Feedback: helpdesk@unibiointelligence.com.