Literature DB >> 12855692

A novel approach to the characterization of substrate specificity in short/branched chain Acyl-CoA dehydrogenase.

Miao He1, Thomas P Burghardt, Jerry Vockley.   

Abstract

Rat and human short/branched chain acyl-CoA dehydrogenases exhibit key differences in substrate specificity despite an overall amino acid identity of 85% between them. Rat short/branched chain acyl-CoA dehydrogenases (SBCAD) are more active toward substrates with longer carbon side chains than human SBCAD, whereas the human enzyme utilizes substrates with longer primary carbon chains. The mechanism underlying this difference in substrate specificity was investigated with a novel surface plasmon resonance assay combined with absorbance and circular dichroism spectroscopy, and kinetics analysis of wild type SBCADs and mutants with altered amino acid residues in the substrate binding pocket. Results show that a relatively few amino acid residues are critical for determining the difference in substrate specificity seen between the human and rat enzymes and that alteration of these residues influences different portions of the enzyme mechanism. Molecular modeling of the SBCAD structure suggests that position 104 at the bottom of the substrate binding pocket is important in determining the length of the primary carbon chain that can be accommodated. Conformational changes caused by alteration of residues at positions 105 and 177 directly affect the rate of electron transfer in the dehydrogenation reactions, and are likely transmitted from the bottom of the substrate binding pocket to beta-sheet 3. Differences between the rat and human enzyme at positions 383, 222, and 220 alter substrate specificity without affecting substrate binding. Modeling predicts that these residues combine to determine the distance between the flavin ring of FAD and the catalytic base, without changing the opening of the substrate binding pocket.

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Year:  2003        PMID: 12855692     DOI: 10.1074/jbc.M306882200

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


  10 in total

1.  Expression and characterization of mutations in human very long-chain acyl-CoA dehydrogenase using a prokaryotic system.

Authors:  Eric S Goetzman; Yudong Wang; Miao He; Al-Walid Mohsen; Brittani K Ninness; Jerry Vockley
Journal:  Mol Genet Metab       Date:  2007-03-19       Impact factor: 4.797

2.  Identification and characterization of new long chain acyl-CoA dehydrogenases.

Authors:  Miao He; Zhengtong Pei; Al-Walid Mohsen; Paul Watkins; Geoffrey Murdoch; Paul P Van Veldhoven; Regina Ensenauer; Jerry Vockley
Journal:  Mol Genet Metab       Date:  2010-12-17       Impact factor: 4.797

3.  Kinetic and spectral properties of isovaleryl-CoA dehydrogenase and interaction with ligands.

Authors:  Al-Walid A Mohsen; Jerry Vockley
Journal:  Biochimie       Date:  2014-11-18       Impact factor: 4.079

4.  Role of isovaleryl-CoA dehydrogenase and short branched-chain acyl-CoA dehydrogenase in the metabolism of valproic acid: implications for the branched-chain amino acid oxidation pathway.

Authors:  Paula B M Luís; Jos P N Ruiter; Lodewijk Ijlst; Isabel Tavares de Almeida; Marinus Duran; Al-Walid Mohsen; Jerry Vockley; Ronald J A Wanders; Margarida F B Silva
Journal:  Drug Metab Dispos       Date:  2011-03-23       Impact factor: 3.922

5.  A single acyl-CoA dehydrogenase is required for catabolism of isoleucine, valine and short-chain fatty acids in Aspergillus nidulans.

Authors:  Lori A Maggio-Hall; Paul Lyne; Jon A Wolff; Nancy P Keller
Journal:  Fungal Genet Biol       Date:  2007-06-21       Impact factor: 3.495

6.  Regulation of fatty acid oxidation in mouse cumulus-oocyte complexes during maturation and modulation by PPAR agonists.

Authors:  Kylie R Dunning; Marie R Anastasi; Voueleng J Zhang; Darryl L Russell; Rebecca L Robker
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

7.  Unusual respiratory capacity and nitrogen metabolism in a Parcubacterium (OD1) of the Candidate Phyla Radiation.

Authors:  Cindy J Castelle; Christopher T Brown; Brian C Thomas; Kenneth H Williams; Jillian F Banfield
Journal:  Sci Rep       Date:  2017-01-09       Impact factor: 4.379

8.  Quantitative assessment of tissue biomarkers and construction of a model to predict outcome in breast cancer using multiple imputation.

Authors:  John W Emerson; Marisa Dolled-Filhart; Lyndsay Harris; David L Rimm; David P Tuck
Journal:  Cancer Inform       Date:  2008-12-23

9.  Diversity and dispersal of a ubiquitous protein family: acyl-CoA dehydrogenases.

Authors:  Yao-Qing Shen; B Franz Lang; Gertraud Burger
Journal:  Nucleic Acids Res       Date:  2009-07-22       Impact factor: 16.971

10.  Electrochemical characterization of Escherichia coli adaptive response protein AidB.

Authors:  Michael J Hamill; Marco Jost; Cintyu Wong; Nicholas C Bene; Catherine L Drennan; Sean J Elliott
Journal:  Int J Mol Sci       Date:  2012-12-11       Impact factor: 5.923

  10 in total

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