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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

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.

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