Literature DB >> 25924594

Drug metabolism by cytochrome p450 enzymes: what distinguishes the pathways leading to substrate hydroxylation over desaturation?

Li Ji1, Abayomi S Faponle2, Matthew G Quesne2, Mala A Sainna2, Jing Zhang1, Alicja Franke3, Devesh Kumar4, Rudi van Eldik3,5, Weiping Liu6, Sam P de Visser7.   

Abstract

Cytochrome P450 enzymes are highly versatile biological catalysts in our body that react with a broad range of substrates. Key functions in the liver include the metabolism of drugs and xenobiotics. One particular metabolic pathway that is poorly understood relates to the P450 activation of aliphatic groups leading to either hydroxylation or desaturation pathways. A DFT and QM/MM study has been carried out on the factors that determine the regioselectivity of aliphatic hydroxylation over desaturation of compounds by P450 isozymes. The calculations establish multistate reactivity patterns, whereby the product distributions differ on each of the spin-state surfaces; hence spin-selective product formation was found. The electronic and thermochemical factors that determine the bifurcation pathways were analysed and a model that predicts the regioselectivity of aliphatic hydroxylation over desaturation pathways was established from valence bond and molecular orbital theories. Thus, the difference in energy of the OH versus the OC bond formed and the π-conjugation energy determines the degree of desaturation products. In addition, environmental effects of the substrate binding pocket that affect the regioselectivities were identified. These studies imply that bioengineering P450 isozymes for desaturation reactions will have to include modifications in the substrate binding pocket to restrict the hydroxylation rebound reaction.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  compound I; density functional calculations; enzyme catalysis; oxygen atom transfer; reaction mechanisms

Mesh:

Substances:

Year:  2015        PMID: 25924594     DOI: 10.1002/chem.201500329

Source DB:  PubMed          Journal:  Chemistry        ISSN: 0947-6539            Impact factor:   5.236


  28 in total

1.  Human mitochondrial cytochrome P450 27C1 is localized in skin and preferentially desaturates trans-retinol to 3,4-dehydroretinol.

Authors:  Kevin M Johnson; Thanh T N Phan; Matthew E Albertolle; F Peter Guengerich
Journal:  J Biol Chem       Date:  2017-07-12       Impact factor: 5.157

Review 2.  Mono- and binuclear non-heme iron chemistry from a theoretical perspective.

Authors:  Tibor András Rokob; Jakub Chalupský; Daniel Bím; Prokopis C Andrikopoulos; Martin Srnec; Lubomír Rulíšek
Journal:  J Biol Inorg Chem       Date:  2016-05-26       Impact factor: 3.358

Review 3.  Oxygen Activation and Radical Transformations in Heme Proteins and Metalloporphyrins.

Authors:  Xiongyi Huang; John T Groves
Journal:  Chem Rev       Date:  2017-12-29       Impact factor: 60.622

4.  Catalytic strategy for carbon-carbon bond scission by the cytochrome P450 OleT.

Authors:  Job L Grant; Megan E Mitchell; Thomas Michael Makris
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-23       Impact factor: 11.205

5.  Small molecule IVQ, as a prodrug of gluconeogenesis inhibitor QVO, efficiently ameliorates glucose homeostasis in type 2 diabetic mice.

Authors:  Ting-Ting Zhou; Tong Zhao; Fei Ma; Yi-Nan Zhang; Jing Jiang; Yuan Ruan; Qiu-Ying Yan; Gai-Hong Wang; Jin Ren; Xiao-Wei Guan; Jun Guo; Yong-Hua Zhao; Ji-Ming Ye; Li-Hong Hu; Jing Chen; Xu Shen
Journal:  Acta Pharmacol Sin       Date:  2019-03-04       Impact factor: 6.150

6.  Arene activation by a nonheme iron(III)-hydroperoxo complex: pathways leading to phenol and ketone products.

Authors:  Abayomi S Faponle; Frédéric Banse; Sam P de Visser
Journal:  J Biol Inorg Chem       Date:  2016-04-20       Impact factor: 3.358

7.  Alkyl Chain Growth on a Transition Metal Center: How Does Iron Compare to Ruthenium and Osmium?

Authors:  Mala A Sainna; Sam P de Visser
Journal:  Int J Mol Sci       Date:  2015-09-28       Impact factor: 5.923

8.  BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules.

Authors:  Mingjian Wen; Samuel M Blau; Evan Walter Clark Spotte-Smith; Shyam Dwaraknath; Kristin A Persson
Journal:  Chem Sci       Date:  2020-12-08       Impact factor: 9.825

9.  Product Distributions of Cytochrome P450 OleTJE with Phenyl-Substituted Fatty Acids: A Computational Study.

Authors:  Yen-Ting Lin; Sam P de Visser
Journal:  Int J Mol Sci       Date:  2021-07-02       Impact factor: 5.923

Review 10.  Challenging Density Functional Theory Calculations with Hemes and Porphyrins.

Authors:  Sam P de Visser; Martin J Stillman
Journal:  Int J Mol Sci       Date:  2016-04-07       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.