PML School (Part 1)
Series of Free Webinars for how to create PK/PD models using Pharmacometric Modeling Language
21 articles
- PML School IntroductionThis is a series of webinars that were hosted by Certara to teach people to become more familiar with PML coding of PK and PK/PD models. It is a series…
- Lesson 1: Nonlinear ClearanceA 3-compartment model with nonlinear clearance.
- Lesson 2: Metabolite KineticsSimultaneous fitting of parent and metabolite where the metabolite clearance follows Michaelis-Menten kinetics.
- Lesson 3: Two-Compartment Repeated DosingA two compartment model fitted to pharmacokinetic and pharmacodynamic data in a sequential manner using concentration- and response-time data after multiple oral doses.
- Lesson 4: Multiple Absorption RoutesA model with multiple absorption routes was constructed using the Graphical Model Editor.
- Lesson 5: Simultaneous Fitting of Plasma and Urine DataA one-compartment model with IV and PO dosing, and collection of both plasma and urine data.
- Lesson 6: Target-Mediated Drug DispositionA textual model with target-mediated drug disposition
- Lesson 7: Enterohepatic RecirculationA 2-compartment model with recirculation via bile and gut.
- Lesson 8: One-Compartment 1st and 0-Order InputTwo models built, one with 1st-order input, and a second with zero-order input. The model that fit the data better was identified
- Lesson 9: Allometric ScalingA 2-compartment model fitted to data from mouse, rat, dog and human, Creating Dedrick plots in Phoenix.
- Lesson 10: Turnover III - Nonlinear DispositionA turnover model of an endogenous compound with saturating elimination, and a highly variable multiple dosing scheme. Results compared with a simple linear elimination model.
- Lesson 11: Analysis and Comparison of Link, Turnover and Receptor Binding ModelLink (Effect Compartment) model, Turnover (Indirect) model and receptor binding model are created and compared.
- Lesson 12: Sigmoidal Concentration-Response ModelsGompertz, Hill, Logistic, Morgan-Mercer-Flodin, Richards, and Weibull models were created and compared
- Lesson 13: Modeling Tumor Growth/KillGompertz, Jumbe, and Simeoni models are constructed and compared.
- Lesson 14: Modeling Enzyme Inhibition by Means of TurnoverOne-compartment PK model (frozen parameters) with turnover model that fits the PD data
- Lesson 15: Effect Compartment III - IV InfusionTwo PK/PD models are compared: an effect compartment model, and a model that uses the PML delay command. The process of going from a PK model to a PK/PD model is also…
- Lesson 16: Warfarin IV Bolus Turnover ModelA turnover (Indirect) model, a turnover model with a delay, and two different precursor-pool models.
- Lesson 17: Turnover Model 4 - IV InfusionTurnover model 4 (stimulation of loss) with frozen PK. PK data are simulated using previously-determined parameters, so we can see the hysteresis loop.
- Lesson 18: Turnover Models with Repeated DosingOne-compartment PK model with turnover PD model (inhibition of the build-up of response). PK is frozen.Â
- Lesson 19: Dose-Response-Time AnalysisA model that has only Effect and Time data (no PK data).  First-order PK is assumed. The PD model is a turnover model, with linear stimulation of loss.
- Lesson 20: Transduction ModelingA PK/PD model. The PK is described by a 1-compartment IV bolus model with nonlinear elimination. The PD is delayed by three transit compartments and a feedback loop.