A population approach to in vitro–in vivo correlation modelling for compounds with nonlinear kinetics

被引:0
|
作者
Clare Gaynor
Adrian Dunne
Cian Costello
John Davis
机构
[1] University College Dublin,UCD School of Mathematical Sciences
[2] A Division of Janssen Pharmaceutica NV,Johnson and Johnson Pharmaceutical Research & Development
[3] Pfizer Global Research and Development,Clinical Pharmacology
[4] Pfizer Global Research and Development,undefined
来源
Journal of Pharmacokinetics and Pharmacodynamics | 2011年 / 38卷
关键词
In vitro–in vivo correlation modelling; Compartmental model; Convolution; NONMEM; Population;
D O I
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中图分类号
学科分类号
摘要
Developing an In Vitro–In Vivo Correlation (IVIVC) model is becoming an important part of the drug development process. Traditional methods such as deconvolution and convolution make the assumption of linearity of the system being studied and are, therefore, unsuitable for use with compounds exhibiting nonlinear kinetics. This study proposes the use of a compartmental approach which may be based on systems of differential equations, a method which can comfortably accommodate nonlinearity. This technique can easily be implemented using existing NONMEM libraries and is an accurate, fast and straightforward method of developing an IVIVC model.
引用
收藏
页码:317 / 332
页数:15
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