Physiologically based modelling and prediction of drug interactions
Bois, FY
HERO ID
1007246
Reference Type
Journal Article
Subtype
Review
Year
2010
Language
English
PMID
| HERO ID | 1007246 |
|---|---|
| Material Type | Review |
| In Press | No |
| Year | 2010 |
| Title | Physiologically based modelling and prediction of drug interactions |
| Authors | Bois, FY |
| Journal | Basic & Clinical Pharmacology & Toxicology Online Pharmacology Online |
| Volume | 106 |
| Issue | 3 |
| Page Numbers | 154-161 |
| Abstract | A major challenge for drug development and environmental or occupational health is the prediction of pharmacokinetic and pharmacodynamic interactions between drugs, natural chemicals or environmental contaminants. This article reviews briefly past developments in the area of physiologically based pharmacokinetic (PBPK) modelling of interactions. It also demonstrates a systems biology approach to the question, and the capabilities of new software tools to facilitate that development. Individual Systems Biology Markup Language models of metabolic pathways can now be automatically merged and coupled to a template PBPK pharmacokinetic model, using for example the GNU MCSim software. The global model generated is very efficient and able to simulate the interactions between a theoretically unlimited number of substances. Development time and the number of model parameter increase only linearly with the number of substances considered, even though the number of possible interactions increases exponentially. |
| Doi | 10.1111/j.1742-7843.2009.00488.x |
| Pmid | 19912164 |
| Wosid | WOS:000274454300003 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | Yes |
| Language Text | English |