Literature DB >> 17506527

Exhaustive mutagenesis of six secondary active-site residues in Escherichia coli chorismate mutase shows the importance of hydrophobic side chains and a helix N-capping position for stability and catalysis.

Jonathan Kyle Lassila1, Jennifer R Keeffe, Peter Kast, Stephen L Mayo.   

Abstract

Secondary active-site residues in enzymes, including hydrophobic amino acids, may contribute to catalysis through critical interactions that position the reacting molecule, organize hydrogen-bonding residues, and define the electrostatic environment of the active site. To ascertain the tolerance of an important model enzyme to mutation of active-site residues that do not directly hydrogen bond with the reacting molecule, all 19 possible amino acid substitutions were investigated in six positions of the engineered chorismate mutase domain of the Escherichia coli chorismate mutase-prephenate dehydratase. The six secondary active-site residues were selected to clarify results of a previous test of computational enzyme design procedures. Five of the positions encode hydrophobic side chains in the wild-type enzyme, and one forms a helix N-capping interaction as well as a salt bridge with a catalytically essential residue. Each mutant was evaluated for its ability to complement an auxotrophic chorismate mutase deletion strain. Kinetic parameters and thermal stabilities were measured for variants with in vivo activity. Altogether, we find that the enzyme tolerated 34% of the 114 possible substitutions, with a few mutations leading to increases in the catalytic efficiency of the enzyme. The results show the importance of secondary amino acid residues in determining enzymatic activity, and they point to strengths and weaknesses in current computational enzyme design procedures.

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Year:  2007        PMID: 17506527     DOI: 10.1021/bi700215x

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  11 in total

1.  The use of reaction timecourses to determine the level of minor contaminants in enzyme preparations.

Authors:  Lawrence M Goldman; Tina L Amyes
Journal:  Anal Biochem       Date:  2014-01-03       Impact factor: 3.365

2.  Structure-function analysis from the outside in: long-range tertiary contacts in RNA exhibit distinct catalytic roles.

Authors:  Tara L Benz-Moy; Daniel Herschlag
Journal:  Biochemistry       Date:  2011-09-19       Impact factor: 3.162

3.  Interdomain Conformational Changes Provide Allosteric Regulation en Route to Chorismate.

Authors:  Ali Reza Nazmi; Eric J M Lang; Yu Bai; Timothy M Allison; Mohamad H Othman; Santosh Panjikar; Vickery L Arcus; Emily J Parker
Journal:  J Biol Chem       Date:  2016-08-08       Impact factor: 5.157

4.  Structural analysis of a 3-deoxy-D-arabino-heptulosonate 7-phosphate synthase with an N-terminal chorismate mutase-like regulatory domain.

Authors:  Samuel H Light; Andrei S Halavaty; George Minasov; Ludmilla Shuvalova; Wayne F Anderson
Journal:  Protein Sci       Date:  2012-04-23       Impact factor: 6.725

Review 5.  Pericyclic reactions catalyzed by chorismate-utilizing enzymes.

Authors:  Audrey L Lamb
Journal:  Biochemistry       Date:  2011-08-12       Impact factor: 3.162

6.  SABER: a computational method for identifying active sites for new reactions.

Authors:  Geoffrey R Nosrati; K N Houk
Journal:  Protein Sci       Date:  2012-05       Impact factor: 6.725

7.  The empirical valence bond as an effective strategy for computer-aided enzyme design.

Authors:  Alexandra Vardi-Kilshtain; Maite Roca; Arieh Warshel
Journal:  Biotechnol J       Date:  2009-04       Impact factor: 4.677

8.  Toward accurate screening in computer-aided enzyme design.

Authors:  Maite Roca; Alexandra Vardi-Kilshtain; Arieh Warshel
Journal:  Biochemistry       Date:  2009-04-14       Impact factor: 3.162

9.  OptZyme: computational enzyme redesign using transition state analogues.

Authors:  Matthew J Grisewood; Nathanael P Gifford; Robert J Pantazes; Ye Li; Patrick C Cirino; Michael J Janik; Costas D Maranas
Journal:  PLoS One       Date:  2013-10-07       Impact factor: 3.240

10.  A computational framework to empower probabilistic protein design.

Authors:  Menachem Fromer; Chen Yanover
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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