Kemp elimination catalysts by computational enzyme design

被引:956
作者
Rothlisberger, Daniela [1 ]
Khersonsky, Olga [3 ]
Wollacott, Andrew M. [1 ]
Jiang, Lin [1 ]
DeChancie, Jason [5 ]
Betker, Jamie [2 ]
Gallaher, Jasmine L. [2 ]
Althoff, Eric A. [1 ]
Zanghellini, Alexandre [1 ]
Dym, Orly [4 ]
Albeck, Shira [4 ]
Houk, Kendall N. [5 ]
Tawfik, Dan S. [3 ]
Baker, David [1 ,2 ]
机构
[1] Univ Washington, Dept Biochem, Seattle, WA 98195 USA
[2] Univ Washington, Howard Hughes Med Inst, Seattle, WA 98195 USA
[3] Weizmann Inst Sci, Dept Biol Chem, IL-76100 Rehovot, Israel
[4] Weizmann Inst Sci, Israel Struct Proteom Ctr, IL-76100 Rehovot, Israel
[5] Univ Calif Los Angeles, Dept Chem & Biochem, Los Angeles, CA 90095 USA
基金
美国国家科学基金会;
关键词
D O I
10.1038/nature06879
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页码:190 / U4
页数:8
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