2008
DOI: 10.1038/nature06879
|View full text |Cite
|
Sign up to set email alerts
|

Kemp elimination catalysts by computational enzyme design

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 computation… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

11
1,269
1
16

Year Published

2010
2010
2019
2019

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 1,197 publications
(1,297 citation statements)
references
References 32 publications
11
1,269
1
16
Order By: Relevance
“…To our knowledge, in silico studies of enzymes with non-natural substrates are scarce, and we therefore seek to find a theoretical framework for prediction of reactivity, catalytic power, and productive combinations of enzyme species and substrates. Unlike most other computational design studies which focus on optimum transition state stabilization, including the groundbreaking de novo designed enzymes by Baker and collegues, [31,32] we attempt to monitor the full reaction pathway, including substrate binding and substrate-substrate interactions. This approach is supported by a very recent study by Simón and Goodman, [33] who show that oxyanion holes are not optimized for maximum TS stabilization, but rather for minimizing the reaction barrier.…”
Section: Fig 1: (A)mentioning
confidence: 99%
“…To our knowledge, in silico studies of enzymes with non-natural substrates are scarce, and we therefore seek to find a theoretical framework for prediction of reactivity, catalytic power, and productive combinations of enzyme species and substrates. Unlike most other computational design studies which focus on optimum transition state stabilization, including the groundbreaking de novo designed enzymes by Baker and collegues, [31,32] we attempt to monitor the full reaction pathway, including substrate binding and substrate-substrate interactions. This approach is supported by a very recent study by Simón and Goodman, [33] who show that oxyanion holes are not optimized for maximum TS stabilization, but rather for minimizing the reaction barrier.…”
Section: Fig 1: (A)mentioning
confidence: 99%
“…[10][11][12][13] The development of new specific functions in an enzyme is something that Nature has already made during done through evolution, although the specific paths evolutionary routes followed to reach this goal remain, in general, raveled to be revealed. While closely related proteins can have different functions, some distantly related enzymes can have the same or similar function.…”
Section: Introductionmentioning
confidence: 99%
“…7,8 Iterative rounds of computational design, both in the active site and surrounding residues, place mutations to stabilize the transition state with the aim of accelerating the target reaction. Successes of this approach include redesigned proteins with activities for the Kemp elimination, 9 and the retroaldol 10 and Diels-Alder 11 reactions. Often only moderate efficiencies are achieved, although these can be further improved by directed evolution.…”
mentioning
confidence: 99%