Quantitative prediction of in vivo drug-drug interactions based on in vitro inhibition or/and induction data for CYP3A4.
- Author:
Qing-hao ZHANG
1
;
Yan LI
Author Information
1. Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China.
- Publication Type:Journal Article
- MeSH:
Area Under Curve;
Cytochrome P-450 CYP3A;
metabolism;
Cytochrome P-450 CYP3A Inhibitors;
Drug Interactions;
Enzyme Inhibitors;
pharmacology;
Humans;
Intestines;
metabolism;
Liver;
metabolism;
Models, Biological;
Pharmaceutical Preparations;
administration & dosage;
metabolism
- From:
Acta Pharmaceutica Sinica
2010;45(8):952-959
- CountryChina
- Language:Chinese
-
Abstract:
Inhibition or/and induction of CYP3A4 are the major mechanisms underlying the common clinical drug-drug interactions, which has been gained attention in new drug discovery and development as well as clinical practice. Quantitative prediction of drug-drug interactions at the early stage of drug development is advantageous for reducing the cost and duration of development and providing more information for the later clinical studies. The review summarizes the update progress on quantitative prediction of in vivo drug-drug interactions derived from models based on in vitro inhibition or/and induction for CYP3A4.
