Literature DB >> 8185657

Utility of in vitro drug metabolism data in predicting in vivo metabolic clearance.

J B Houston1.   

Abstract

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Year:  1994        PMID： 8185657     DOI： 10.1016/0006-2952(94)90520-7

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN： 0006-2952            Impact factor:   5.858


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  148 in total

Review 1.  Prediction of hepatic metabolic clearance: comparison and assessment of prediction models.

Authors:  J Zuegge; G Schneider; P Coassolo; T Lavé
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

2.  Comparison of in vitro hepatic models for the prediction of metabolic interaction between simvastatin and naringenin.

Authors:  N Le Goff; J C Koffel; S Vandenschrieck; L Jung; G Ubeaud
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2002 Oct-Dec       Impact factor: 2.441

3.  The use of in vitro metabolic stability for rapid selection of compounds in early discovery based on their expected hepatic extraction ratios.

Authors:  Yan Yi Lau; Gopal Krishna; Nathan P Yumibe; Diane E Grotz; Elpida Sapidou; Laura Norton; Inhou Chu; Cliff Chen; A D Soares; Chin-Chung Lin
Journal:  Pharm Res       Date:  2002-11       Impact factor: 4.200

4.  BioDMET: a physiologically based pharmacokinetic simulation tool for assessing proposed solutions to complex biological problems.

Authors:  John F Graf; Bernhard J Scholz; Maria I Zavodszky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-12-10       Impact factor: 2.745

5.  Metabolism kinetics of beclomethasone propionate esters in human lung homogenates.

Authors:  K Foe; D J Cutler; K F Brown; J P Seale
Journal:  Pharm Res       Date:  2000-08       Impact factor: 4.200

Review 6.  Prediction of hepatic metabolic clearance based on interspecies allometric scaling techniques and in vitro-in vivo correlations.

Authors:  T Lavé; P Coassolo; B Reigner
Journal:  Clin Pharmacokinet       Date:  1999-03       Impact factor: 6.447

Review 7.  Applications of human pharmacokinetic prediction in first-in-human dose estimation.

Authors:  Peng Zou; Yanke Yu; Nan Zheng; Yongsheng Yang; Hayley J Paholak; Lawrence X Yu; Duxin Sun
Journal:  AAPS J       Date:  2012-03-10       Impact factor: 4.009

Review 8.  Whole body pharmacokinetic models.

Authors:  Ivan Nestorov
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

9.  Inter-individual variability in levels of human microsomal protein and hepatocellularity per gram of liver.

Authors:  Z E Wilson; A Rostami-Hodjegan; J L Burn; A Tooley; J Boyle; S W Ellis; G T Tucker
Journal:  Br J Clin Pharmacol       Date:  2003-10       Impact factor: 4.335

10.  Comparison of the use of liver models for predicting drug clearance using in vitro kinetic data from hepatic microsomes and isolated hepatocytes.

Authors:  Kiyomi Ito; J Brian Houston
Journal:  Pharm Res       Date:  2004-05       Impact factor: 4.200
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