Literature DB >> 23746259

Design of protein catalysts.

Donald Hilvert1.   

Abstract

Diverse engineering strategies have been developed to create enzymes with novel catalytic activities. Among these, computational approaches hold particular promise. Enzymes have been computationally designed to promote several nonbiological reactions, including a Diels-Alder cycloaddition, proton transfer, multistep retroaldol transformations, and metal-dependent hydrolysis of phosphotriesters. Although their efficiencies (kcat/KM = 0.1-100 M(-1) s(-1)) are typically low compared with those of the best natural enzymes (10(6)-10(8) M(-1) s(-1)), these catalysts are excellent starting points for laboratory evolution. This review surveys recent progress in combining computational and evolutionary approaches to enzyme design, together with insights into enzyme function gained from studies of the engineered catalysts.

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Year:  2013        PMID: 23746259     DOI: 10.1146/annurev-biochem-072611-101825

Source DB:  PubMed          Journal:  Annu Rev Biochem        ISSN: 0066-4154            Impact factor:   23.643


  46 in total

1.  How mutational epistasis impairs predictability in protein evolution and design.

Authors:  Charlotte M Miton; Nobuhiko Tokuriki
Journal:  Protein Sci       Date:  2016-01-22       Impact factor: 6.725

2.  A fast loop-closure algorithm to accelerate residue matching in computational enzyme design.

Authors:  Jing Xue; Xiaoqiang Huang; Min Lin; Yushan Zhu
Journal:  J Mol Model       Date:  2016-01-29       Impact factor: 1.810

3.  Electrostatic transition state stabilization rather than reactant destabilization provides the chemical basis for efficient chorismate mutase catalysis.

Authors:  Daniel Burschowsky; André van Eerde; Mats Ökvist; Alexander Kienhöfer; Peter Kast; Donald Hilvert; Ute Krengel
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-24       Impact factor: 11.205

4.  Impact of scaffold rigidity on the design and evolution of an artificial Diels-Alderase.

Authors:  Nathalie Preiswerk; Tobias Beck; Jessica D Schulz; Peter Milovník; Clemens Mayer; Justin B Siegel; David Baker; Donald Hilvert
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-20       Impact factor: 11.205

5.  Installing hydrolytic activity into a completely de novo protein framework.

Authors:  Antony J Burton; Andrew R Thomson; William M Dawson; R Leo Brady; Derek N Woolfson
Journal:  Nat Chem       Date:  2016-07-04       Impact factor: 24.427

Review 6.  The Need for Integrated Approaches in Metabolic Engineering.

Authors:  Anna Lechner; Elizabeth Brunk; Jay D Keasling
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-11-01       Impact factor: 10.005

Review 7.  The coming of age of de novo protein design.

Authors:  Po-Ssu Huang; Scott E Boyken; David Baker
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

8.  Foldamer hypothesis for the growth and sequence differentiation of prebiotic polymers.

Authors:  Elizaveta Guseva; Ronald N Zuckermann; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-22       Impact factor: 11.205

9.  Biophysical Characterization of a Disabled Double Mutant of Soybean Lipoxygenase: The "Undoing" of Precise Substrate Positioning Relative to Metal Cofactor and an Identified Dynamical Network.

Authors:  Shenshen Hu; Adam R Offenbacher; Erin M Thompson; Christine L Gee; Jarett Wilcoxen; Cody A M Carr; Daniil M Prigozhin; Vanessa Yang; Tom Alber; R David Britt; James S Fraser; Judith P Klinman
Journal:  J Am Chem Soc       Date:  2019-01-15       Impact factor: 15.419

Review 10.  Computer aided enzyme design and catalytic concepts.

Authors:  Maria P Frushicheva; Matthew J L Mills; Patrick Schopf; Manoj K Singh; Ram B Prasad; Arieh Warshel
Journal:  Curr Opin Chem Biol       Date:  2014-05-08       Impact factor: 8.822

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