Literature DB >> 15664991

Monooxygenation of an aromatic ring by F43W/H64D/V68I myoglobin mutant and hydrogen peroxide. Myoglobin mutants as a model for P450 hydroxylation chemistry.

Thomas D Pfister1, Takahiro Ohki, Takafumi Ueno, Isao Hara, Seiji Adachi, Yumiko Makino, Norikazu Ueyama, Yi Lu, Yoshihito Watanabe.   

Abstract

Myoglobin (Mb) is used as a model system for other heme proteins and the reactions they catalyze. The latest novel function to be proposed for myoglobin is a P450 type hydroxylation activity of aromatic carbons (Watanabe, Y., and Ueno, T. (2003) Bull. Chem. Soc. Jpn. 76, 1309-1322). Because Mb does not contain a specific substrate binding site for aromatic compounds near the heme, an engineered tryptophan in the heme pocket was used to model P450 hydroxylation of aromatic compounds. The monooxygenation product was not previously isolated because of rapid subsequent oxidation steps (Hara, I., Ueno, T., Ozaki, S., Itoh, S., Lee, K., Ueyama, N., and Watanabe, Y. (2001) J. Biol. Chem. 276, 36067-36070). In this work, a Mb variant (F43W/H64D/V68I) is used to characterize the monooxygenated intermediate. A modified (+16 Da) species forms upon the addition of 1 eq of H2O2. This product was digested with chymotrypsin, and the modified peptide fragments were isolated and characterized as 6-hydroxytryptophan using matrix-assisted laser desorption ionization time-of-flight tandem mass spectroscopy and 1H NMR. This engineered Mb variant represents the first enzyme to preferentially hydroxylate the indole side chain of Trp at the C6 position. Finally, heme extraction was used to demonstrate that both the formation of the 6-hydroxytryptophan intermediate (+16 Da) and subsequent oxidation to form the +30 Da final product are catalyzed by the heme cofactor, most probably via the compound I intermediate. These results provide insight into the mechanism of hydroxylation of aromatic carbons by heme proteins, demonstrating that non-thiolate-ligated heme enzymes can perform this function. This establishes Mb compound I as a model for P450 type aromatic hydroxylation chemistry.

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Year:  2005        PMID: 15664991     DOI: 10.1074/jbc.M410853200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  8 in total

1.  Enzyme reactivation by hydrogen peroxide in heme-based tryptophan dioxygenase.

Authors:  Rong Fu; Rupal Gupta; Jiafeng Geng; Kednerlin Dornevil; Siming Wang; Yong Zhang; Michael P Hendrich; Aimin Liu
Journal:  J Biol Chem       Date:  2011-06-01       Impact factor: 5.157

2.  Electrochemical biosensor featuring a two-enzyme pathway and DNA for screening toxic reactive metabolites of arylamines.

Authors:  Minjeong So; John B Schenkman; James F Rusling
Journal:  Chem Commun (Camb)       Date:  2008-07-18       Impact factor: 6.222

3.  Design of Heteronuclear Metalloenzymes.

Authors:  A Bhagi-Damodaran; P Hosseinzadeh; E Mirts; J Reed; I D Petrik; Y Lu
Journal:  Methods Enzymol       Date:  2016-07-26       Impact factor: 1.600

Review 4.  Kinetic mechanisms for O2 binding to myoglobins and hemoglobins.

Authors:  John S Olson
Journal:  Mol Aspects Med       Date:  2021-09-17

5.  Oxidative damage in MauG: implications for the control of high-valent iron species and radical propagation pathways.

Authors:  Erik T Yukl; Heather R Williamson; LeeAnn Higgins; Victor L Davidson; Carrie M Wilmot
Journal:  Biochemistry       Date:  2013-12-16       Impact factor: 3.162

6.  Non-Redox Assisted Oxygen-Oxygen Bond Homolysis in Titanocene Alkylperoxide Complexes: [Cp(2)Ti(eta-OOBu)L], L = Cl, OTf, Br, OEt(2), Et(3)P.

Authors:  Antonio G Dipasquale; David A Hrovat; James M Mayer
Journal:  Organometallics       Date:  2006       Impact factor: 3.876

7.  Open Search-Based Proteomics Reveals Widespread Tryptophan Modifications Associated with Hypoxia in Lung Cancer.

Authors:  Jinfeng Chen; Lei Zhang; Zhao Sun; Hongyi Li; Jingyi Li; Xinli Xue; Qingqing Zhu; Bowen Dong; Yuanyuan Wang; Yang Yang; Yongqiang Dong; Guangyu Guo; Hongqiang Jiang; An Zhang; Guoqing Zhang; Zhichao Hou; Xiangnan Li; Jing-Hua Yang
Journal:  Oxid Med Cell Longev       Date:  2022-04-30       Impact factor: 7.310

8.  Machine learning/molecular dynamic protein structure prediction approach to investigate the protein conformational ensemble.

Authors:  Martina Audagnotto; Werngard Czechtizky; Leonardo De Maria; Helena Käck; Garegin Papoian; Lars Tornberg; Christian Tyrchan; Johan Ulander
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

  8 in total

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