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Introducing PoPy

Overview

PoPy is a Python based PK/PD (pharmacokinetic/pharmacodynamic) modelling system.

PoPy’s features include:-

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:-

Table 1 PoPy Documentation Structure
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:-

Table 2 System Requirements for PoPy
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
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.

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