Phoenix Modeling Language (PML) School
Learn How to Build Custom PK and PK/PD Models
Phoenix WinNonlin™ uses Phoenix Modeling Language (PML) to encode pharmacokinetic (PK) and Pharmacodynamic (PD) models. Although most models can be built using the graphical user interface (GUI) in Phoenix, there are some models that require custom coding with PML.
Certara has launched a series of interactive educational webinars to teach users how to build PK and PK/PD models in Phoenix. This series is called the Phoenix Modeling Language School or PML School. The series will cover scenarios such as simultaneous fitting of IV and PO data, target-mediated drug disposition, enterohepatic recirculation, tumor growth inhibition, and others and sessions are complimentary for Phoenix users.
Attendees will be able to ask questions and discuss how PML works after a brief tutorial. Questions can be submitted upon registration. After each seminar the lesson PML text code and presentation materials will be available for download from the Certara Support Forum. The recorded webinar will be available on the Certara Support Forum, so please make sure to sign up for the forum.
On Demand PML School Sessions
Introduction & Nonlinear Clearance Learn how to build custom PK and PK/PD models in Phoenix WinNonlin Presenter: Dan Weiner | |
Metabolite Kinetics Simultaneously model plasma data of a drug and metabolite following 5-minute infusion; metabolite clearance follows Michaelis-Menten kinetics Presenter: Chris Mehl | |
Two-compartment Repeated Oral Dosing Fit multiple dose kinetic and dynamic data sequentially Presenter: Bernd Wendt | |
Multiple Absorption Routes via the Graphical Phoenix Model PK modeling of a compound that is absorbed rapidly via the buccal route, and also by delayed absorption in the GI tract Presenter: Chris Mehl | |
Simultaneous Fitting of Plasma and Urine Data Fit IV data first then IV and PO data separately and simultaneously Presenter: Bernd Wendt | |
Target-mediated Drug Disposition Model circulating plasma target with a TMDD model Presenter: Dan Weiner | |
Enterohepatic Recirculation Model enterohepatic recirculation (EHC) after intravenous administration Presenter: Bernd Wendt | |
One-compartment 1st and 0-order Input Fit and discriminate between first and zero-order absorption models Presenter: Chris Mehl | |
Allometry-Elementary/Complex Dedrick Plot Simultaneously fit an allometric model to data from mouse, rat and man Presenter: Dan Weiner | |
Turnover III: Nonlinear Disposition Characterize turnover of an endogenous compound Presenter: Bernd Wendt | |
Analysis and Comparison of Link, Turnover and Receptor Binding Models Fit a link-, turnover- and receptor binding model to data Presenter: Dan Weiner | |
Sigmoidal Concentration-response Models Apply Gompertz, Weibull, Richards, Morgan-Mercer-Flodin, Hill and logistic models Presenter: Chris Mehl | |
Analysis of a Tissue Growth/Kill Model Analyze a tumor cell kill model after acute dosing Presenter: Bernd Wendt | |
Modeling Inhibition of Enzyme Activity by Means of Turnover Construction of a mechanistic turnover model Presenter: Chris Mehl | |
Effect Compartment III: IV Infusion Model response-time data with a link-model Presenter: Bernd Wendt | |
Turnover Model 1: IV Bolus Dosing Model Warfarin-PCA interaction Presenter: Chris Mehl | |
Turnover Model 4: IV Infusions Apply a turnover model to multiple IV dosing response data Presenter: Bernd Wendt | |
Turnover Model 1: Repeated Dosing I Apply a turnover model to repeated po dosing response data Presenter: Chris Mehl | |
Dose-response-time Analysis I-IV Analyze dose-response-time data with an instantenous effect model Presenter: Bernd Wendt | |
Transduction Modeling: Assessment of Number of Transit Compartments Analyze a transduction rate limited response time course Presenter: Bernd Wendt | |
Minimal Physiologically-based Pharmacokinetic Model for Monoclonal Antibodies (mAbs) Construct the model graphically and fit plasma data from mAbs Presenter: Loan Pham | |
Target-mediated Drug Disposition (TMDD) Modeling Using the Quasi-equilibrium Assumption Write a textual model according to Gibiansky (2008), fit and simulate mAb profiles Presenter: Frank Striebel | |
Adaptive Simulations: Extending PML to Trial Simulations A pre-clinical example to simulate a desired outcome Presenter: Bernd Wendt | |
Introduction to NONMEM-NLME Comparisons PK 1-compartment IV bolus model FOCE Presenter: Bernd Wendt | |
NONMEM-2-NLME PK 2-compartment multiple dose-IV bolus Plasma and Urine QRPEM/IMP Presenter: Bernd Wendt | |
NONMEM-2-NLME PK 2-compartment oral with Disease State covariate on V and CL Presenter: Venkateswari Muthukrishnan | |
TMDD Model Translated from NONMEM (NM-TRAN) to Phoenix NLME (PML) Presenter: Loan Pham, Camargo | |
NONMEM-2-NLME Nonlinear elimination and model validation I: Bootstrap Presenter: Bernd Wendt | |
NONMEM-2-NLME Mixed absorption and model validation II: VPC Presenter: Bernd Wendt | |
NONMEM-2-NLME Running NONMEM and Phoenix NLME in the cloud Presenter: Bernd Wendt | |
NONMEM-2-NLME PD Emax inhibitory with baseline and shape factor Presenter: Bernd Wendt | |
NONMEM-2-NLME PD indirect response with IV bolus dosing Presenter: Bernd Wendt | |
NONMEM-2-NLME PKPD 1-compartment IV infusion—Emax with baseline, shape and effect Presenter: Bernd Wendt | |
Population PK Modeling and Virtual BE Trial Simulation for Formulation Optimization Presenter: Loan Pham, Camargo | |
NONMEM-NLME Comparisons PD Categorical response analysis Presenter: Bernd Wendt | |
NONMEM-NLME Comparisons PD time-to-event analysis Presenter: Bernd Wendt | |
NONMEM-NLME Comparisons PD count analysis Presenter: Bernd Wendt |
About Our Speakers
Dr. Bernd Wendt has been teaching as a trainer at Certara and is a lecturer at the Ludwig-Maximilians-Universität (Munich) for more than 5 years, providing seminars in pharmacokinetics and molecular modeling. He is currently heading the global support group at Certara.
Christopher Mehl is the Customer Support Manager, and is a software trainer at Certara since 2003. He has conducted over 200 training courses with Pharsight desktop products such as Phoenix WinNonlin, IVIVC, NLME, PKS, and Trial Simulator. These include workshops at the US Food and Drug Administration, universities, customer sites, and courses open to the public.