pkpd-modeling
Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when analysing concentration-time data, deriving exposure metrics, fitting PK or PD models, or evaluating dosing regimens. Triggers include "pharmacokinetics", "pharmacodynamics", "PK/PD", "NCA", "non-compartmental", "AUC", "Cmax", "lambda z", "half-life", "clearance", "volume of distribution", "compartmental model", "population PK", "popPK", "NONMEM", "nlmixr2", "Pharmpy", "Monolix", "exposure-response", "Emax", "EC50", "indirect response", "effect compartment", "TMDD", "PBPK", "bioequivalence", "RSABE", "ABEL", "allometric scaling", "first-in-human", "MABEL", "drug-drug interaction", "DDI", "ICH M12", "concentration-QTc", "therapeutic drug monitoring", "MIPD", and "dosing regimen".
- Version
- 1.1
- License
- MIT
- Compatibility
- Requires Python 3.11+ with numpy and scipy. No network access and no proprietary software. The estimation tools this skill orients you towards (NONMEM, Monolix, Phoenix, Simcyp, GastroPlus) are licensed separately and are never invoked by these scripts.
Pinned to revision de66e10cd0c8, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
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Files
- skills/pkpd-modeling/SKILL.md
- skills/pkpd-modeling/assets/nca-reporting-checklist.md
- skills/pkpd-modeling/assets/popk-analysis-plan.md
- skills/pkpd-modeling/references/antimicrobial-and-tdm.md
- skills/pkpd-modeling/references/bioequivalence.md
- skills/pkpd-modeling/references/dataset-standards.md
- skills/pkpd-modeling/references/ddi-and-qt.md
- skills/pkpd-modeling/references/nca-conventions.md
- skills/pkpd-modeling/references/pbpk.md
- skills/pkpd-modeling/references/pd-and-exposure-response.md
- skills/pkpd-modeling/references/population-pk.md
- skills/pkpd-modeling/references/regulatory-guidance.md
- skills/pkpd-modeling/references/software-ecosystem.md
- skills/pkpd-modeling/references/source-ledger.md
- skills/pkpd-modeling/references/special-populations.md
- skills/pkpd-modeling/references/structural-models.md
- skills/pkpd-modeling/references/tmdd-and-biologics.md
- skills/pkpd-modeling/scripts/_common.py
- skills/pkpd-modeling/scripts/_models.py
- skills/pkpd-modeling/scripts/allometry_and_fih.py
- skills/pkpd-modeling/scripts/bioequivalence.py
- skills/pkpd-modeling/scripts/check_popk_dataset.py
- skills/pkpd-modeling/scripts/ddi_static.py
- skills/pkpd-modeling/scripts/exposure_response.py
- skills/pkpd-modeling/scripts/fit_compartmental.py
- skills/pkpd-modeling/scripts/nca.py
- skills/pkpd-modeling/scripts/simulate_regimen.py
- skills/pkpd-modeling/scripts/tdm_bayes.py
Every link opens the file at its source, pinned to the revision this page describes.