Literature DB >> 10781888

Structural characteristics of human P450s involved in drug metabolism: QSARs and lipophilicity profiles.

D F Lewis1.   

Abstract

The factors with human P450 substrate selectivity are reviewed, together with extensive tabulation of quantitative relationships between structure and activity for many species of P450 substrates, inducers and inhibitors. In addition, the physicochemical characteristics (logP and pK(a) values) of heptic microsomal P450 substrates are collated, such that comparisons can be made on the grounds of compound lipophilicities.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10781888     DOI: 10.1016/s0300-483x(99)00207-3

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  7 in total

1.  Different effects of dihydropyridine calcium channel antagonists on CYP3A4 enzyme of human liver microsomes.

Authors:  Zongling Xia; Mingli Wang; Sulan Zou; Rong Chen
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-12-13       Impact factor: 2.441

2.  Insights into electron leakage in the reaction cycle of cytochrome P450 BM3 revealed by kinetic modeling and mutagenesis.

Authors:  Joseph B Lim; Kimberly A Barker; Kristen A Eller; Linda Jiang; Veronica Molina; Jessica F Saifee; Hadley D Sikes
Journal:  Protein Sci       Date:  2015-09-09       Impact factor: 6.725

Review 3.  Guide to drug porphyrogenicity prediction and drug prescription in the acute porphyrias.

Authors:  Stig Thunell; Erik Pomp; Atle Brun
Journal:  Br J Clin Pharmacol       Date:  2007-06-19       Impact factor: 4.335

4.  Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

Authors:  Jessica H Hartman; Steven D Cothren; Sun-Ha Park; Chul-Ho Yun; Jerry A Darsey; Grover P Miller
Journal:  Bioorg Med Chem       Date:  2013-04-22       Impact factor: 3.641

5.  Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

Authors:  Alexander L Perryman; Thomas P Stratton; Sean Ekins; Joel S Freundlich
Journal:  Pharm Res       Date:  2015-09-28       Impact factor: 4.200

6.  Improving Protein-Ligand Docking Results with High-Throughput Molecular Dynamics Simulations.

Authors:  Hugo Guterres; Wonpil Im
Journal:  J Chem Inf Model       Date:  2020-04-10       Impact factor: 4.956

7.  Quantitative structure-activity relationships (QSARs) within the cytochrome P450 system: QSARs describing substrate binding, inhibition and induction of P450s.

Authors:  David F V Lewis
Journal:  Inflammopharmacology       Date:  2003       Impact factor: 4.473

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.