How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective
Year: 2015
Type: article
Abstract: The use of in vitro metabolism data to predict human clearance has become more significant in the current prediction of large scale drug clearance for all the drugs. The relevant information (in vitro metabolism data and in vivo human clearance values) of thirty-five drugs that satisfied the entry criteria of probe drugs was collated from the literature. Then the performance of different in vitro systems including Escherichia coli system, yeast system, lymphoblastoid system and baculovirus system is compared after in vitro-in vivo extrapolation. Baculovirus system, which can provide most of the data, has almost equal accuracy as the other systems in predicting clearance. And in most cases, baculovirus system has the smaller CV in scaling factors. Therefore, the baculovirus system can be recognized as the suitable system for the large scale drug clearance prediction.
Source: BioMed Research International
DOI: 10.1155/2015/857327
Language: English
Subfield: Pharmacology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $2,680
Funders: National Natural Science Foundation of China, National Institutes of Health, Fundamental Research Funds for the Central Universities, National Institute on Aging, National Institute of General Medical Sciences, U.S. National Library of Medicine, National Center for Advancing Translational Sciences
Awards: G1047091168, Clinical Importance of Drug-Drug Interactions, G2396135262, Indiana Clinical and Translational Sciences Institute, G2854027726, G3256776988, G3287932762, G4026256185, G4860055548, G5355488378, G563229854, G5651740416, G5927707991, G7592937411, A Translational Bioinformatics Approach in the Drug Interaction Research, G8007959091, G804570816, G804811935, G833276922, G8523679388, Evidence-based Drug-Interaction Discovery: In-Vivo, In-Vitro and Clinical, G8996575916
OpenAlex ID: W1941354194