Computational Enzyme Design

被引:393
作者
Kiss, Gert [1 ]
Celebi-Oelcuem, Nihan [1 ]
Moretti, Rocco [2 ,3 ]
Baker, David [2 ,3 ]
Houk, K. N. [1 ]
机构
[1] Univ Calif Los Angeles, Dept Chem & Biochem, Los Angeles, CA 90095 USA
[2] Univ Washington, Dept Biochem, Seattle, WA 98195 USA
[3] Univ Washington, Howard Hughes Med Inst, Seattle, WA 98195 USA
基金
美国国家卫生研究院;
关键词
active-site design; biomolecular catalysis; non-natural reactions; protein engineering; theozymes; DIELS-ALDER REACTION; PHYSICAL ORGANIC-CHEMISTRY; 3-KETO-L-GULONATE 6-PHOSPHATE DECARBOXYLASE; OROTIDINE 5-MONOPHOSPHATE DECARBOXYLASE; TRANSITION-STATE STABILIZATION; BASE-CATALYZED DECOMPOSITION; FOLDING GAME PLAYERS; DE-NOVO DESIGN; ANTIBODY CATALYSIS; DIRECTED EVOLUTION;
D O I
10.1002/anie.201204077
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Recent developments in computational chemistry and biology have come together in the "inside-out" approach to enzyme engineering. Proteins have been designed to catalyze reactions not previously accelerated in nature. Some of these proteins fold and act as catalysts, but the success rate is still low. The achievements and limitations of the current technology are highlighted and contrasted to other protein engineering techniques. On its own, computational "inside-out" design can lead to the production of catalytically active and selective proteins, but their kinetic performances fall short of natural enzymes. When combined with directed evolution, molecular dynamics simulations, and crowd-sourced structure-prediction approaches, however, computational designs can be significantly improved in terms of binding, turnover, and thermal stability.
引用
收藏
页码:5700 / 5725
页数:26
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