How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective

dc.contributor.authorWang, Lei
dc.contributor.authorChiang, ChienWei
dc.contributor.authorLiang, Hong
dc.contributor.authorWu, Hengyi
dc.contributor.authorFeng, Weixing
dc.contributor.authorQuinney, Sara K.
dc.contributor.authorLi, Jin
dc.contributor.authorLi, Lang
dc.contributor.departmentDepartment of Obstetrics and Gynecology, IU School of Medicineen_US
dc.date.accessioned2016-10-20T20:30:16Z
dc.date.available2016-10-20T20:30:16Z
dc.date.issued2015
dc.description.abstractThe 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.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationWang, L., Chiang, C., Liang, H., Wu, H., Feng, W., Quinney, S. K., … Li, L. (2015). How to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspective. BioMed Research International, 2015, 857327. http://doi.org/10.1155/2015/857327en_US
dc.identifier.issn2314-6141en_US
dc.identifier.urihttps://hdl.handle.net/1805/11221
dc.language.isoen_USen_US
dc.publisherHindawi Publishing Corporationen_US
dc.relation.isversionof10.1155/2015/857327en_US
dc.relation.journalBioMed Research Internationalen_US
dc.rightsAttribution 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.sourcePMCen_US
dc.subjectIn Vitro Techniquesen_US
dc.subjectMetabolic Clearance Rateen_US
dc.subjectModels, Biologicalen_US
dc.titleHow to Choose In Vitro Systems to Predict In Vivo Drug Clearance: A System Pharmacology Perspectiveen_US
dc.typeArticleen_US
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