Literature DB >> 20194782

Origins of catalysis by computationally designed retroaldolase enzymes.

Jonathan K Lassila1, David Baker, Daniel Herschlag.   

Abstract

We have investigated recently reported computationally designed retroaldolase enzymes with the goal of understanding the extent and the origins of their catalytic power. Direct comparison of the designed enzymes to primary amine catalysts in solution revealed a rate acceleration of 10(5)-fold for the most active of the designed retroaldolases. Through pH-rate studies of the designed retroaldolases and evaluation of a Brønsted correlation for a series of amine catalysts, we found that lysine pK(a) values are shifted by 3-4 units in the enzymes but that the catalytic contributions from the shifted pK(a) values are estimated to be modest, about 10-fold. For the most active of the reported enzymes, we evaluated the catalytic contribution of two other design components: a motif intended to stabilize a bound water molecule and hydrophobic substrate binding interactions. Mutational analysis suggested that the bound water motif does not contribute to the rate acceleration. Comparison of the rate acceleration of the designed substrate relative to a minimal substrate suggested that hydrophobic substrate binding interactions contribute around 10(3)-fold to the enzymatic rate acceleration. Altogether, these results suggest that substrate binding interactions and shifting the pK(a) of the catalytic lysine can account for much of the enzyme's rate acceleration. Additional observations suggest that these interactions are limited in the specificity of placement of substrate and active site catalytic groups. Thus, future design efforts may benefit from a focus on achieving precision in binding interactions and placement of catalytic groups.

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Year:  2010        PMID: 20194782      PMCID: PMC2841948          DOI: 10.1073/pnas.0913638107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-27       Impact factor: 11.205

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3.  Immune versus natural selection: antibody aldolases with enzymic rates but broader scope.

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Journal:  Science       Date:  1997-12-19       Impact factor: 47.728

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Journal:  Science       Date:  1997-10-03       Impact factor: 47.728

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Journal:  Biochemistry       Date:  1971-03-30       Impact factor: 3.162

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Journal:  Nature       Date:  1993-10-07       Impact factor: 49.962

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Journal:  Prog Biophys Mol Biol       Date:  1995       Impact factor: 3.667

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Journal:  Science       Date:  1995-12-15       Impact factor: 47.728

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Authors:  Jory Z Ruscio; Jonathan E Kohn; K Aurelia Ball; Teresa Head-Gordon
Journal:  J Am Chem Soc       Date:  2009-10-07       Impact factor: 15.419

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  40 in total

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Authors:  Eric M Brustad; Frances H Arnold
Journal:  Curr Opin Chem Biol       Date:  2010-12-23       Impact factor: 8.822

Review 2.  Computational protein design: engineering molecular diversity, nonnatural enzymes, nonbiological cofactor complexes, and membrane proteins.

Authors:  Jeffery G Saven
Journal:  Curr Opin Chem Biol       Date:  2011-04-12       Impact factor: 8.822

3.  Design of an allosterically regulated retroaldolase.

Authors:  Elizabeth A Raymond; Korrie L Mack; Jennifer H Yoon; Olesia V Moroz; Yurii S Moroz; Ivan V Korendovych
Journal:  Protein Sci       Date:  2015-01-13       Impact factor: 6.725

4.  Dissecting enzyme function with microfluidic-based deep mutational scanning.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-26       Impact factor: 11.205

5.  Catalytic diversity in self-propagating peptide assemblies.

Authors:  Tolulope O Omosun; Ming-Chien Hsieh; W Seth Childers; Dibyendu Das; Anil K Mehta; Neil R Anthony; Ting Pan; Martha A Grover; Keith M Berland; David G Lynn
Journal:  Nat Chem       Date:  2017-02-27       Impact factor: 24.427

Review 6.  Conformational dynamics and enzyme evolution.

Authors:  Dušan Petrović; Valeria A Risso; Shina Caroline Lynn Kamerlin; Jose M Sanchez-Ruiz
Journal:  J R Soc Interface       Date:  2018-07       Impact factor: 4.118

7.  Computational design of a Diels-Alderase from a thermophilic esterase: the importance of dynamics.

Authors:  Mats Linder; Adam Johannes Johansson; Tjelvar S G Olsson; John Liebeschuetz; Tore Brinck
Journal:  J Comput Aided Mol Des       Date:  2012-09-16       Impact factor: 3.686

8.  Engineering a model protein cavity to catalyze the Kemp elimination.

Authors:  Matthew Merski; Brian K Shoichet
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-17       Impact factor: 11.205

Review 9.  Protein engineering for metabolic engineering: current and next-generation tools.

Authors:  Ryan J Marcheschi; Luisa S Gronenberg; James C Liao
Journal:  Biotechnol J       Date:  2013-04-16       Impact factor: 4.677

Review 10.  Fundamental challenges in mechanistic enzymology: progress toward understanding the rate enhancements of enzymes.

Authors:  Daniel Herschlag; Aditya Natarajan
Journal:  Biochemistry       Date:  2013-03-14       Impact factor: 3.162

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