Literature DB >> 12019203

Quantitative structure activity relationships for the glucuronidation of simple phenols by expressed human UGT1A6 and UGT1A9.

Brian T Ethell1, Sean Ekins, Jibo Wang, Brian Burchell.   

Abstract

UGT1A6 and UGT1A9 have both been demonstrated to rapidly glucuronidate simple phenolic compounds. A series of simple phenols were selected and screened with both isoforms and then used as model substrates for the generation of V(max) and K(m) values. UGT1A6 showed a more restricted acceptance of phenolic substrates compared with UGT1A9. However, the affinity of UGT1A6 for these compounds exhibited higher K(m) values than UGT1A9, although rates of turnover were similar. Molecular surface-weighted holistic invariant molecular descriptors were generated for each substrate and used to produce the first quantitative structure activity relationship models generated for expressed human UGTs. Models relating log of the K(m) value to the generated descriptors correlated well with the experimental data r(2) value of 0.996 for UGT1A6 and r(2) value of 0.83 for UGT1A9. Cross validation by a leave-one-out method also showed good predictive capability within the subset with a q(2) value of 0.98 for UGT1A6 and q(2) value of 0.73 for UGT1A9. Empirically, UGT1A6 V(max) decreased as the 4-substituent increased in size, and a trend was observed when UGT1A6 V(max) was plotted against molecular volume. The larger UGT1A6 substrates were typified by low activity and lower K(m) values than their smaller counterparts. Extrapolating from this, it was demonstrated that phenols with large 4-substituents, which were not UGT1A6 substrates, could inhibit 4-ethylphenol glucuronidation. The K(m) values for UGT1A9 showed a similar relationship to UGT1A6 but with much lower K(m) values and greater variability in range of this value.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12019203     DOI: 10.1124/dmd.30.6.734

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  7 in total

Review 1.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

2.  Human UDP-Glucuronosyltransferases: Effects of altered expression in breast and pancreatic cancer cell lines.

Authors:  Centdrika R Dates; Tariq Fahmi; Sebastian J Pyrek; Aiwei Yao-Borengasser; Barbara Borowa-Mazgaj; Stacie M Bratton; Susan A Kadlubar; Peter I Mackenzie; Randy S Haun; Anna Radominska-Pandya
Journal:  Cancer Biol Ther       Date:  2015       Impact factor: 4.742

Review 3.  Understanding substrate selectivity of human UDP-glucuronosyltransferases through QSAR modeling and analysis of homologous enzymes.

Authors:  Dong Dong; Roland Ako; Ming Hu; Baojian Wu
Journal:  Xenobiotica       Date:  2012-03-02       Impact factor: 1.908

4.  Three-dimensional quantitative structure-activity relationship studies on UGT1A9-mediated 3-O-glucuronidation of natural flavonols using a pharmacophore-based comparative molecular field analysis model.

Authors:  Baojian Wu; John Kenneth Morrow; Rashim Singh; Shuxing Zhang; Ming Hu
Journal:  J Pharmacol Exp Ther       Date:  2010-11-10       Impact factor: 4.030

5.  Metabolomic and genetic analysis of biomarkers for peroxisome proliferator-activated receptor alpha expression and activation.

Authors:  Yueying Zhen; Kristopher W Krausz; Chi Chen; Jeffrey R Idle; Frank J Gonzalez
Journal:  Mol Endocrinol       Date:  2007-06-05

6.  Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets.

Authors:  Alex M Clark; Krishna Dole; Anna Coulon-Spektor; Andrew McNutt; George Grass; Joel S Freundlich; Robert C Reynolds; Sean Ekins
Journal:  J Chem Inf Model       Date:  2015-06-03       Impact factor: 4.956

Review 7.  Metabolic Profiles of Propofol and Fospropofol: Clinical and Forensic Interpretative Aspects.

Authors:  Ricardo Jorge Dinis-Oliveira
Journal:  Biomed Res Int       Date:  2018-05-24       Impact factor: 3.411

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.