Literature DB >> 19061875

Analysis of the substrate-binding site of human carbonyl reductases CBR1 and CBR3 by site-directed mutagenesis.

Yasser El-Hawari1, Angelo D Favia, Ewa S Pilka, Michael Kisiela, Udo Oppermann, Hans-Jörg Martin, Edmund Maser.   

Abstract

Human carbonyl reductase is a member of the short-chain dehydrogenase/reductase (SDR) protein superfamily and is known to play an important role in the detoxification of xenobiotics bearing a carbonyl group. The two monomeric NADPH-dependent human isoforms of cytosolic carbonyl reductase CBR1 and CBR3 show a sequence similarity of 85% on the amino acid level, which is definitely high if compared to the low similarities usually observed among other members of the SDR superfamily (15-30%). Despite the sequence similarity and the similar features found in the available crystal structures of the two enzymes, CBR3 shows only low or no activity towards substrates that are metabolised by CBR1. This surprising substrate specificity is still not fully understood. In the present study, we introduced several point mutations and changed sequences of up to 17 amino acids of CBR3 to the corresponding amino acids of CBR1, to gather insight into the catalytic mechanism of both enzymes. Proteins were expressed in Escherichia coli and purified by Ni-affinity chromatography. Their catalytic properties were then compared using isatin and 9,10-phenanthrenequinone as model substrates. Towards isatin, wild-type CBR3 showed a catalytic efficiency of 0.018 microM(-1)min(-1), whereas wild-type CBR1 showed a catalytic efficiency of 13.5 microM(-1)min(-1). In particular, when nine residues (236-244) in the vicinity of the catalytic center and a proline (P230) in CBR3 were mutated to the corresponding residues of CBR1 a much higher k(cat)/K(m) value (5.7 microM(-1)min(-1)) towards isatin was observed. To gain further insight into the protein-ligand binding process, docking simulations were perfomed on this mutant and on both wild-type enzymes (CBR1 and CBR3). The theoretical model of the mutant was ad hoc built by means of standard comparative modelling.

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Year:  2008        PMID: 19061875     DOI: 10.1016/j.cbi.2008.11.004

Source DB:  PubMed          Journal:  Chem Biol Interact        ISSN: 0009-2797            Impact factor:   5.192


  6 in total

1.  Protective effect of 23-hydroxybetulinic acid on doxorubicin-induced cardiotoxicity: a correlation with the inhibition of carbonyl reductase-mediated metabolism.

Authors:  Fang Zhou; Gang Hao; Jingwei Zhang; Yuanting Zheng; Xiaolan Wu; Kun Hao; Fang Niu; Dan Luo; Yuan Sun; Liang Wu; Wencai Ye; Guangji Wang
Journal:  Br J Pharmacol       Date:  2015-01-12       Impact factor: 8.739

2.  Specificity of human aldo-keto reductases, NAD(P)H:quinone oxidoreductase, and carbonyl reductases to redox-cycle polycyclic aromatic hydrocarbon diones and 4-hydroxyequilenin-o-quinone.

Authors:  Carol A Shultz; Amy M Quinn; Jong-Heum Park; Ronald G Harvey; Judy L Bolton; Edmund Maser; Trevor M Penning
Journal:  Chem Res Toxicol       Date:  2011-09-29       Impact factor: 3.739

3.  A rapid, reproducible, on-the-fly orthogonal array optimization method for targeted protein quantification by LC/MS and its application for accurate and sensitive quantification of carbonyl reductases in human liver.

Authors:  Jin Cao; Vanessa Gonzalez-Covarrubias; Vanessa M Covarrubias; Robert M Straubinger; Hao Wang; Xiaotao Duan; Haoying Yu; Jun Qu; Javier G Blanco
Journal:  Anal Chem       Date:  2010-04-01       Impact factor: 6.986

Review 4.  Virtual screening applications in short-chain dehydrogenase/reductase research.

Authors:  Katharina R Beck; Teresa Kaserer; Daniela Schuster; Alex Odermatt
Journal:  J Steroid Biochem Mol Biol       Date:  2017-03-09       Impact factor: 4.292

5.  Structural basis for substrate specificity in human monomeric carbonyl reductases.

Authors:  Ewa S Pilka; Frank H Niesen; Wen Hwa Lee; Yasser El-Hawari; James E Dunford; Grazyna Kochan; Vladimir Wsol; Hans-Joerg Martin; Edmund Maser; Udo Oppermann
Journal:  PLoS One       Date:  2009-10-20       Impact factor: 3.240

6.  A combined computational strategy of sequence and structural analysis predicts the existence of a functional eicosanoid pathway in Drosophila melanogaster.

Authors:  Michael Scarpati; Yan Qi; Shubha Govind; Shaneen Singh
Journal:  PLoS One       Date:  2019-02-12       Impact factor: 3.240

  6 in total

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