Optimizing non-natural protein function with directed evolution

被引:195
作者
Brustad, Eric M. [1 ]
Arnold, Frances H. [1 ,2 ]
机构
[1] CALTECH, Div Chem & Chem Engn, Pasadena, CA 91125 USA
[2] CALTECH, Dept Bioengn, Pasadena, CA 91125 USA
关键词
ARTIFICIAL METALLOENZYMES; GENETIC-CODE; COMPUTATIONAL DESIGN; AMINO-ACID; CATALYSTS; SITE; STREPTAVIDIN; EXPRESSION; FITNESS;
D O I
10.1016/j.cbpa.2010.11.020
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Developing technologies such as unnatural amino acid mutagenesis, non-natural cofactor engineering, and computational design are generating proteins with novel functions; these proteins, however, often do not reach performance targets and would benefit from further optimization. Evolutionary methods can complement these approaches: recent work combining unnatural amino acid mutagenesis and phage selection has created useful proteins of novel composition. Weak initial activity in a computationally designed enzyme has been improved by iterative rounds of mutagenesis and screening. A marriage of ingenuity and evolution will expand the scope of protein function well beyond Mother Nature's designs.
引用
收藏
页码:201 / 210
页数:10
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