Literature DB >> 33214289

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

Renee Otten1, Ricardo A P Pádua1, H Adrian Bunzel2, Vy Nguyen1, Warintra Pitsawong1, MacKenzie Patterson1, Shuo Sui3, Sarah L Perry3, Aina E Cohen4, Donald Hilvert5, Dorothee Kern6.   

Abstract

The advent of biocatalysts designed computationally and optimized by laboratory evolution provides an opportunity to explore molecular strategies for augmenting catalytic function. Applying a suite of nuclear magnetic resonance, crystallography, and stopped-flow techniques to an enzyme designed for an elementary proton transfer reaction, we show how directed evolution gradually altered the conformational ensemble of the protein scaffold to populate a narrow, highly active conformational ensemble and accelerate this transformation by nearly nine orders of magnitude. Mutations acquired during optimization enabled global conformational changes, including high-energy backbone rearrangements, that cooperatively organized the catalytic base and oxyanion stabilizer, thus perfecting transition-state stabilization. The development of protein catalysts for many chemical transformations could be facilitated by explicitly sampling conformational substates during design and specifically stabilizing productive substates over all unproductive conformations.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Year:  2020        PMID: 33214289     DOI: 10.1126/science.abd3623

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  14 in total

1.  From structure to mechanism: skiing the energy landscape.

Authors:  Dorothee Kern
Journal:  Nat Methods       Date:  2021-05       Impact factor: 28.547

Review 2.  Learning Strategies in Protein Directed Evolution.

Authors:  Xavier F Cadet; Jean Christophe Gelly; Aster van Noord; Frédéric Cadet; Carlos G Acevedo-Rocha
Journal:  Methods Mol Biol       Date:  2022

3.  Evolution of dynamical networks enhances catalysis in a designer enzyme.

Authors:  H Adrian Bunzel; J L Ross Anderson; Donald Hilvert; Vickery L Arcus; Marc W van der Kamp; Adrian J Mulholland
Journal:  Nat Chem       Date:  2021-08-19       Impact factor: 24.427

Review 4.  High throughput and quantitative enzymology in the genomic era.

Authors:  D A Mokhtari; M J Appel; P M Fordyce; D Herschlag
Journal:  Curr Opin Struct Biol       Date:  2021-09-27       Impact factor: 6.809

5.  Natural Evolution Provides Strong Hints about Laboratory Evolution of Designer Enzymes.

Authors:  Wen Jun Xie; Arieh Warshel
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-28       Impact factor: 12.779

6.  NMR-guided directed evolution.

Authors:  Eleonora G Margheritis; Katsuya Takahashi; Alona Kulesha; Sagar Bhattacharya; Areetha D'Souza; Inhye Kim; Jennifer H Yoon; Jeremy R H Tame; Alexander N Volkov; Olga V Makhlynets; Ivan V Korendovych
Journal:  Nature       Date:  2022-10-05       Impact factor: 69.504

Review 7.  The road to fully programmable protein catalysis.

Authors:  Sarah L Lovelock; Rebecca Crawshaw; Sophie Basler; Colin Levy; David Baker; Donald Hilvert; Anthony P Green
Journal:  Nature       Date:  2022-06-01       Impact factor: 69.504

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

Authors:  John A Gerlt
Journal:  Biochemistry       Date:  2021-05-20       Impact factor: 3.321

Review 9.  Large Chaperone Complexes Through the Lens of Nuclear Magnetic Resonance Spectroscopy.

Authors:  Theodoros K Karamanos; G Marius Clore
Journal:  Annu Rev Biophys       Date:  2022-01-19       Impact factor: 19.763

10.  The Interplay of Electrostatics and Chemical Positioning in the Evolution of Antibiotic Resistance in TEM β-Lactamases.

Authors:  Samuel H Schneider; Jacek Kozuch; Steven G Boxer
Journal:  ACS Cent Sci       Date:  2021-11-22       Impact factor: 14.553

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