Literature DB >> 16888731

Molecular basis of substrate recognition in D-3-hydroxybutyrate dehydrogenase from Pseudomonas putida.

Claudia Feller1, Robert Günther, Hans-Jörg Hofmann, Marlis Grunow.   

Abstract

D-3-Hydroxybutyrate dehydrogenase from Pseudomonas putida (EC 1.1.1.30) belongs to the family of short-chain dehydrogenases/reductases (SDRs). It catalyzes the reversible and stereospecific oxidation of D-3-hydroxybutyrate (D-3-HB) to acetoacetate with the aid of NAD(+) as coenzyme. This study contributes to understanding the mechanism and the high specificity of this enzyme towards its negatively charged and hydrophilic substrate. Sequence comparison of 44 bacterial HBDHs shows the residues Gln91, His141, Lys149, Lys192, and Gln193 to be strictly conserved. Site-directed mutagenesis of these amino acids to alanine and subsequent kinetic characterization of the mutated enzymes provides insight into the importance of these residues for substrate recognition and catalysis. Docking studies and molecular-dynamics simulations based on a three-dimensional structure model of a complex between P. putida HBDH and its coenzyme obtained by comparative molecular modeling were performed and provided deeper insight into the binding of the ligands at the molecular level. They show the residues Gln91, His141, Gln193, and, in particular, Lys149 to be involved in a hydrogen-bonding network with the carboxylate group of the substrate.

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Year:  2006        PMID: 16888731     DOI: 10.1002/cbic.200600167

Source DB:  PubMed          Journal:  Chembiochem        ISSN: 1439-4227            Impact factor:   3.164


  2 in total

1.  The metabolism of (R)-3-hydroxybutyrate is regulated by the enhancer-binding protein PA2005 and the alternative sigma factor RpoN in Pseudomonas aeruginosa PAO1.

Authors:  Benjamin R Lundgren; Joshua R Harris; Zaara Sarwar; Ryan A Scheel; Christopher T Nomura
Journal:  Microbiology       Date:  2015-08-25       Impact factor: 2.777

2.  Fatty Acid and Alcohol Metabolism in Pseudomonas putida: Functional Analysis Using Random Barcode Transposon Sequencing.

Authors:  Mitchell G Thompson; Matthew R Incha; Allison N Pearson; Matthias Schmidt; William A Sharpless; Christopher B Eiben; Pablo Cruz-Morales; Jacquelyn M Blake-Hedges; Yuzhong Liu; Catharine A Adams; Robert W Haushalter; Rohith N Krishna; Patrick Lichtner; Lars M Blank; Aindrila Mukhopadhyay; Adam M Deutschbauer; Patrick M Shih; Jay D Keasling
Journal:  Appl Environ Microbiol       Date:  2020-10-15       Impact factor: 4.792

  2 in total

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