Literature DB >> 11569527

Utility of metabolic stability screening: comparison of in vitro and in vivo clearance.

S E Clarke1, P Jeffrey.   

Abstract

1. The ability of hepatic microsomal metabolic stability assessments to predict in vivo clearance in rat has been retrospectively evaluated for 1,163 compounds from 48 programmes of chemistry. Using a simple binary classification system, the in vivo clearances of approximately 64% of the compounds were correctly classified. 2. About 24% of compounds were metalbolically stable yet had clearance greater than half of liver blood flow in vivo. This might be expected as microsomes only contain a limited number of fully functioning drug-metabolizing enzymes and cannot be expected to account for extrahepatic or non-metabolic clearance processes. 3. About 13% of compounds had in vivo clearances of less than half liver blood flow despite being classified as metabolically unstable. Despite overcoming metabolic instability, these compounds had other undesirable properties and were generally more highly bound to plasma proteins, had smaller volumes of distribution (and shorter half-lives despite their clearance) and were more inhibitory against the major human cytochrome P450s. 4. Taking plasma protein binding into consideration reduced the proportion of misclassified low-clearance compounds but did not improve the overall success appreciably. Somewhat surprisingly, human microsomes were nearly as effective as rat microsomes at classifying rat in vivo clearance.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11569527     DOI: 10.1080/00498250110057350

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  17 in total

1.  Metabolic assessment in liver microsomes by co-activating cytochrome P450s and UDP-glycosyltransferases.

Authors:  Z Yan; G W Caldwell
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2003 Jul-Sep       Impact factor: 2.441

2.  Tales from the war on error: the art and science of curating QSAR data.

Authors:  Marvin Waldman; Robert Fraczkiewicz; Robert D Clark
Journal:  J Comput Aided Mol Des       Date:  2015-08-20       Impact factor: 3.686

3.  The normalization of total clearances for intravenous injection drugs.

Authors:  Toshio Nishiyama; Shin Iguch
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2004 Oct-Dec       Impact factor: 2.441

4.  Small molecule anticonvulsant agents with potent in vitro neuroprotection.

Authors:  Douglas E Brenneman; Garry R Smith; Yan Zhang; Yanming Du; Sandeep K Kondaveeti; Michael J Zdilla; Allen B Reitz
Journal:  J Mol Neurosci       Date:  2012-04-26       Impact factor: 3.444

5.  Modelling and PBPK simulation in drug discovery.

Authors:  Hannah M Jones; Iain B Gardner; Kenny J Watson
Journal:  AAPS J       Date:  2009-03-12       Impact factor: 4.009

Review 6.  Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction.

Authors:  Haiyan Li; Jin Sun; Xiaowen Fan; Xiaofan Sui; Lan Zhang; Yongjun Wang; Zhonggui He
Journal:  J Comput Aided Mol Des       Date:  2008-06-24       Impact factor: 3.686

7.  Predicting when biliary excretion of parent drug is a major route of elimination in humans.

Authors:  Chelsea M Hosey; Fabio Broccatelli; Leslie Z Benet
Journal:  AAPS J       Date:  2014-07-09       Impact factor: 4.009

8.  Identification of human cytochrome P(450)s that metabolise anti-parasitic drugs and predictions of in vivo drug hepatic clearance from in vitro data.

Authors:  Xue-Qing Li; Anders Björkman; Tommy B Andersson; Lars L Gustafsson; Collen M Masimirembwa
Journal:  Eur J Clin Pharmacol       Date:  2003-08-12       Impact factor: 2.953

9.  Structure-guided discovery of phenyl-diketo acids as potent inhibitors of M. tuberculosis malate synthase.

Authors:  Inna V Krieger; Joel S Freundlich; Vijay B Gawandi; Justin P Roberts; Vidyadhar B Gawandi; Qingan Sun; Joshua L Owen; Maria T Fraile; Sofia I Huss; Jose-Luis Lavandera; Thomas R Ioerger; James C Sacchettini
Journal:  Chem Biol       Date:  2012-12-21

10.  Computational tools and resources for metabolism-related property predictions. 2. Application to prediction of half-life time in human liver microsomes.

Authors:  Alexey V Zakharov; Megan L Peach; Markus Sitzmann; Igor V Filippov; Heather J McCartney; Layton H Smith; Angelo Pugliese; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2012-10       Impact factor: 3.808

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.