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Updated: May 13, 2026
08:59
An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
Published on: December 3, 2020
Clinical relevance of predictive physiologically based pharmacokinetic methods
1Head of Scientific Computing Cyprotex Discovery Ltd, 15 Beech Lane, Macclesfield, Cheshire, SK10 2DR, UK +44 1625 505108 ; +44 1625 505199 ; s.thomas@cyprotex.com.
Expert Opinion on Drug Discovery
|March 19, 2013
Summary
Physiologically based pharmacokinetic (PBPK) modeling is the best method for predicting human pharmacokinetics. This approach aids drug discovery and development by integrating various data types for accurate predictions.
Area of Science:
- Pharmacokinetics
- Drug Discovery and Development
Background:
- Predicting human pharmacokinetics from in vitro and preclinical data is increasingly important in drug development.
- Accurate pharmacokinetic predictions are crucial for successful drug discovery and development pipelines.
Purpose of the Study:
- To overview methods for pharmacokinetic prediction.
- To describe the advantages of applying pharmacokinetic prediction in drug development.
Main Methods:
- Physiologically based pharmacokinetic (PBPK) modeling offers the most realistic approach for predicting clinical pharmacokinetics.
- PBPK models leverage rich data for development and provide clinically relevant predictions.
Main Results:
- Selected literature examples demonstrate significant applications of PBPK modeling.
- PBPK modeling enables the prediction of human pharmacokinetics with a high degree of realism.
Conclusions:
- Reliable clinical pharmacokinetic prediction depends on advancements in biomolecular process determination.
- PBPK models, combined with efficacy and toxicity data, will be essential tools for predicting in vivo responses in drug discovery and development.
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