Enzyme engineering: reaching the maximal catalytic efficiency peak

被引:96
作者
Goldsmith, Moshe [1 ]
Tawfik, Dan S. [1 ]
机构
[1] Weizmann Inst Sci, Dept Biomol Sci, Rehovot, Israel
关键词
STRUCTURE-BASED REDESIGN; DIRECTED EVOLUTION; SUBSTRATE-SPECIFICITY; COMPUTATIONAL DESIGN; TRIOSEPHOSPHATE ISOMERASE; CYTOCHROME-P450; ENZYMES; LABORATORY EVOLUTION; PROTEIN STABILITY; BINDING PROTEINS; SITE;
D O I
10.1016/j.sbi.2017.09.002
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
The practical need for highly efficient enzymes presents new challenges in enzyme engineering, in particular, the need to improve catalytic turnover (k(cat)) or efficiency (k(cat)/K-M) by several orders of magnitude. However, optimizing catalysis demands navigation through complex and rugged fitness landscapes, with optimization trajectories often leading to strong diminishing returns and dead-ends. When no further improvements are observed in library screens or selections, it remains unclear whether the maximal catalytic efficiency of the enzyme (the catalytic 'fitness peak') has been reached; or perhaps, an alternative combination of mutations exists that could yield additional improvements. Here, we discuss fundamental aspects of the process of catalytic optimization, and offer practical solutions with respect to overcoming optimization plateaus.
引用
收藏
页码:140 / 150
页数:11
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