De novo enzymes by computational design

被引：189

作者：

Kries, Hajo ^{[1
]}

Blomberg, Rebecca ^{[2
]}

Hilvert, Donald ^{[1
]}

机构：

[1] ETH, Organ Chem Lab, CH-8093 Zurich, Switzerland

[2] Firmenich Co, Corp R&D Div, CH-1211 Geneva, Switzerland

来源：

CURRENT OPINION IN CHEMICAL BIOLOGY | 2013年 / 17卷 / 02期

关键词：

PROTEIN DESIGN; COMPLEXES; CATALYSIS; QUANTUM; OPTIMIZATION; CHEMISTRY; THEOZYMES; ORIGINS;

D O I：

10.1016/j.cbpa.2013.02.012

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：

Computational enzyme design has emerged as a promising tool for generating made-to-order biocatalysts. In addition to improving the reliability of the design cycle, current efforts in this area are focusing on expanding the set of catalyzed reactions and investigating the structure and mechanism of individual designs. Although the activities of de novo enzymes are typically low, they can be significantly increased by directed evolution. Analysis of their evolutionary trajectories provides valuable feedback for the design algorithms and can enhance our understanding of natural protein evolution.

引用

收藏

页码：221 / 228

页数：8

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