Literature DB >> 18354394

Kemp elimination catalysts by computational enzyme design.

Daniela Röthlisberger1, Olga Khersonsky, Andrew M Wollacott, Lin Jiang, Jason DeChancie, Jamie Betker, Jasmine L Gallaher, Eric A Althoff, Alexandre Zanghellini, Orly Dym, Shira Albeck, Kendall N Houk, Dan S Tawfik, David Baker.   

Abstract

The design of new enzymes for reactions not catalysed by naturally occurring biocatalysts is a challenge for protein engineering and is a critical test of our understanding of enzyme catalysis. Here we describe the computational design of eight enzymes that use two different catalytic motifs to catalyse the Kemp elimination-a model reaction for proton transfer from carbon-with measured rate enhancements of up to 10(5) and multiple turnovers. Mutational analysis confirms that catalysis depends on the computationally designed active sites, and a high-resolution crystal structure suggests that the designs have close to atomic accuracy. Application of in vitro evolution to enhance the computational designs produced a >200-fold increase in k(cat)/K(m) (k(cat)/K(m) of 2,600 M(-1)s(-1) and k(cat)/k(uncat) of >10(6)). These results demonstrate the power of combining computational protein design with directed evolution for creating new enzymes, and we anticipate the creation of a wide range of useful new catalysts in the future.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18354394     DOI: 10.1038/nature06879

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  378 in total

1.  Evaluation of the energetics of the concerted acid-base mechanism in enzymatic catalysis: the case of ketosteroid isomerase.

Authors:  Stephen D Fried; Steven G Boxer
Journal:  J Phys Chem B       Date:  2011-12-28       Impact factor: 2.991

2.  Optimization of the in-silico-designed kemp eliminase KE70 by computational design and directed evolution.

Authors:  Olga Khersonsky; Daniela Röthlisberger; Andrew M Wollacott; Paul Murphy; Orly Dym; Shira Albeck; Gert Kiss; K N Houk; David Baker; Dan S Tawfik
Journal:  J Mol Biol       Date:  2011-01-28       Impact factor: 5.469

3.  Light-driven oxygen production from superoxide by Mn-binding bacterial reaction centers.

Authors:  James P Allen; Tien L Olson; Paul Oyala; Wei-Jen Lee; Aaron A Tufts; JoAnn C Williams
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

4.  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

5.  Taking Ockham's razor to enzyme dynamics and catalysis.

Authors:  David R Glowacki; Jeremy N Harvey; Adrian J Mulholland
Journal:  Nat Chem       Date:  2012-01-29       Impact factor: 24.427

6.  Protein design: A metalloenzyme reloaded.

Authors:  Birte Höcker
Journal:  Nat Chem Biol       Date:  2012-02-15       Impact factor: 15.040

7.  Bridging the gaps in design methodologies by evolutionary optimization of the stability and proficiency of designed Kemp eliminase KE59.

Authors:  Olga Khersonsky; Gert Kiss; Daniela Röthlisberger; Orly Dym; Shira Albeck; Kendall N Houk; David Baker; Dan S Tawfik
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-08       Impact factor: 11.205

8.  Computational approach for ranking mutant enzymes according to catalytic reaction rates.

Authors:  Malika Kumarasiri; Gregory A Baker; Alexander V Soudackov; Sharon Hammes-Schiffer
Journal:  J Phys Chem B       Date:  2009-03-19       Impact factor: 2.991

Review 9.  Enzyme (re)design: lessons from natural evolution and computation.

Authors:  John A Gerlt; Patricia C Babbitt
Journal:  Curr Opin Chem Biol       Date:  2009-02-23       Impact factor: 8.822

10.  Directed Evolution as a Probe of Rate Promoting Vibrations Introduced via Mutational Change.

Authors:  Xi Chen; Steven D Schwartz
Journal:  Biochemistry       Date:  2018-03-22       Impact factor: 3.162

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.