Literature DB >> 34015914

Evolution of Enzyme Function and the Development of Catalytic Efficiency: Triosephosphate Isomerase, Jeremy R. Knowles, and W. John Albery.

John A Gerlt1.   

Abstract

Every reader knows that an enzyme accelerates a reaction by reducing the activation-energy barrier. However, understanding how this is achieved by the structure of the enzyme and its interactions with stable complexes and transition states and, then, using this to (re)design enzymes to catalyze novel reactions remain the "holy grail" of mechanistic enzymology. The necessary foundation is the free-energy profile that specifies the energies of the bound substate, product, and intervening intermediates as well as the transition states by which they are interconverted. When this free-energy profile is compared to that for the uncatalyzed reaction, strategies for establishing and enhancing catalysis can be identified. This Perspective reminds readers that the first free-energy profile determined for an enzyme-catalyzed reaction, that for triosephosphate isomerase, was published in Biochemistry in 1976 by Jeremy R. Knowles, W. John Albery, and co-workers. They used the profile to propose three steps of increasing "subtlety" that can be influenced by evolutionary pressure to increase the flux through the reaction coordinate: (1) "uniform binding" of the substrate, product, and intermediates; (2) "differential binding" of complexes so that these are isoenergetic (to minimize the energy of the intervening transition states); and (3) "catalysis of an elementary step" in which the transition state for the kinetically significant chemical step is stabilized so that flux can be determined by the rate of substrate binding or product dissociation. These papers continue to guide mechanistic studies of enzyme-catalyzed reactions and provide principles for the (re)design of novel enzymes.

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Year:  2021        PMID: 34015914      PMCID: PMC9437947          DOI: 10.1021/acs.biochem.1c00211

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.321


  51 in total

1.  A paradigm for enzyme-catalyzed proton transfer at carbon: triosephosphate isomerase.

Authors:  John P Richard
Journal:  Biochemistry       Date:  2012-03-20       Impact factor: 3.162

2.  Iterative approach to computational enzyme design.

Authors:  Heidi K Privett; Gert Kiss; Toni M Lee; Rebecca Blomberg; Roberto A Chica; Leonard M Thomas; Donald Hilvert; Kendall N Houk; Stephen L Mayo
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-22       Impact factor: 11.205

Review 3.  Divergent evolution in enolase superfamily: strategies for assigning functions.

Authors:  John A Gerlt; Patricia C Babbitt; Matthew P Jacobson; Steven C Almo
Journal:  J Biol Chem       Date:  2011-11-08       Impact factor: 5.157

4.  Evaluation and ranking of enzyme designs.

Authors:  Gert Kiss; Daniela Röthlisberger; David Baker; K N Houk
Journal:  Protein Sci       Date:  2010-09       Impact factor: 6.725

5.  How directed evolution reshapes the energy landscape in an enzyme to boost catalysis.

Authors:  Renee Otten; Ricardo A P Pádua; H Adrian Bunzel; Vy Nguyen; Warintra Pitsawong; MacKenzie Patterson; Shuo Sui; Sarah L Perry; Aina E Cohen; Donald Hilvert; Dorothee Kern
Journal:  Science       Date:  2020-11-19       Impact factor: 47.728

Review 6.  Proton transfer at carbon.

Authors:  J P Richard; T L Amyes
Journal:  Curr Opin Chem Biol       Date:  2001-12       Impact factor: 8.822

7.  Common enzymological experiments allow free energy profile determination.

Authors:  Michael D Toney
Journal:  Biochemistry       Date:  2013-08-16       Impact factor: 3.162

8.  Energetics of triosephosphate isomerase: the appearance of solvent tritium in substrate dihydroxyacetone phosphate and in product.

Authors:  S G Maister; C P Pett; W J Albery; J R Knowles
Journal:  Biochemistry       Date:  1976-12-14       Impact factor: 3.162

9.  Enzyme Architecture: Modeling the Operation of a Hydrophobic Clamp in Catalysis by Triosephosphate Isomerase.

Authors:  Yashraj S Kulkarni; Qinghua Liao; Dušan Petrović; Dennis M Krüger; Birgit Strodel; Tina L Amyes; John P Richard; Shina C L Kamerlin
Journal:  J Am Chem Soc       Date:  2017-07-19       Impact factor: 15.419

10.  A computational method for design of connected catalytic networks in proteins.

Authors:  Brian D Weitzner; Yakov Kipnis; A Gerard Daniel; Donald Hilvert; David Baker
Journal:  Protein Sci       Date:  2019-12       Impact factor: 6.725

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