Premium
The role of quantitative ADME proteomics to support construction of physiologically based pharmacokinetic models for use in small molecule drug development
Author(s) -
Heikkinen Aki T.,
Lignet Floriane,
Cutler Paul,
Parrott Neil
Publication year - 2015
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201400147
Subject(s) - physiologically based pharmacokinetic modelling , adme , in silico , drug development , pharmacokinetics , computational biology , drug , drug discovery , pharmacology , in vivo , chemistry , biology , bioinformatics , microbiology and biotechnology , biochemistry , gene
Pharmacokinetics (PK) refers to the time course of drug concentrations in the body and since knowledge of PK aids understanding of drug efficacy and safety, numerous PK studies are performed in animals and humans during the drug development process. In vitro to in vivo extrapolation and physiologically based pharmacokinetic (PBPK) modeling are tools that integrate data from various in silico, in vitro, and in vivo sources to deliver mechanistic quantitative simulations of in vivo PK. PBPK models are used to predict human PK and to evaluate the effects of intrinsic factors such as organ dysfunction, age, and genetics as well as extrinsic factors such as co‐administered drugs. In recent years, the use of PBPK within the industry has greatly increased. However, insufficient data on how the abundance of metabolic enzymes and membrane transporters vary in different human patient populations and in different species has been a limitation. A major advance is therefore expected through reliable quantification of the abundance of these proteins in tissues. This review describes the role of PBPK modeling in drug discovery and development, outlines the assumptions involved in integrating protein abundance data, and describes the advances made and expected in determining abundance of relevant proteins through mass spectrometric techniques.