Introducing PoPy¶
Overview¶
PoPy is a Python based PK/PD (pharmacokinetic/pharmacodynamic) modelling system.
PoPy’s features include:-
- Nonlinear mixed-effect models
- Bolus and infusion dosing regimens
- Inter-occasion variability
- Continuous and categorical likelihoods
- PK and PD models
PoPy consists of a powerful set of Command Line Tools and script files, to enable you to analyse a PK/PD data file quickly and efficiently, whilst minisimising errors due to an elegant and intuitive syntax.
PoPy makes it easy to fit models to data, but also has the ability to generate new data to test hypothetical scenarios.
Documentation Structure¶
See Table 1 for layout of this documentation:-
Section | Contents |
---|---|
Getting Started Guide | Read this first to get familiar with PoPy |
Principles of Pharmacokinetics | A summary of individual PK/PD models using PoPy syntax |
Population Models in PoPy | A summary of population PK models using PoPy syntax |
PoPy Example Models | Examples of using PoPy for PK/PD analysis |
PoPy for Nonmem Users | Guidance for converting Nonmem examples to PoPy |
PoPy Reference Guide | A comprehensive reference on PoPy tools and scripts |
Appendices | Links to PK/PD terms used throughout this guide. |
System Requirements¶
PoPy is currently available as a 64 bit Microsoft Windows binary. See Table 2:-
Operating System | Microsoft Windows 7.0/8.0/10.0 |
Disk Space Required | 1.5Gb |
Bit Size | 64 |
Processor | Intel Core i3 and better recommended |
Binary Installer Size | ~250Mb |
Abbreviations¶
- FOCE
- first order conditional estimation
- IMP
- importance sampling
- ITS
- iterative two stage
- IV
- Intra-venous, i.e. injected directly into a vein
- JOE
- joint optimisation and estimation
- LAPLACE
- Laplace approximation
- ND
- none derivative estimation
- OBJV
- objective function value
- ODEs
- ordinary differential equations
- PK/PD
- Pharmacokinetic/Pharmacodynamic
- SAEM
- stochastic approximation expectation maximisation
- TSLD
- Time since last dose
- VPC
- visual predictive check
- wrt
- With respect to - usually defines rate of change variable in an ordinary differential equation
Next Steps¶
See Install PoPy.