Protein engineering design from directed evolution to de novo synthesis

被引:30
|
作者
Xiong, Wei [1 ,2 ]
Liu, Bo [1 ,2 ]
Shen, Yujiao [1 ,2 ]
Jing, Keju [1 ,2 ]
Savage, Thomas R. [3 ]
机构
[1] Xiamen Univ, Coll Chem & Chem Engn, Dept Chem & Biochem Engn, Xiamen 361005, Peoples R China
[2] Xiamen Univ, Coll Chem & Chem Engn, Key Lab Synthet Biotechnol Xiamen City, Xiamen 361005, Peoples R China
[3] Univ Cambridge, Dept Chem Engn & Biotechnol, West Cambridge Site, Cambridge CB3 0AS, England
基金
中国国家自然科学基金;
关键词
Protein engineering; Directed evolution; Semi-rational design; Artificial synthesis; Computer-Assisted Design; COMPUTATIONAL DESIGN; COFACTOR SPECIFICITY; ENZYME; DEHYDROGENASE; STABILITY; REDESIGN; DOCKING; RECOMBINATION; BIOCATALYSIS; OPTIMIZATION;
D O I
10.1016/j.bej.2021.108096
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
With the development of enzyme engineering technology, green enzyme catalysis is widely poised to replace traditional chemical catalysis enabling high enantioselectivity and yielding chiral chemicals. However, some inherent drawbacks still restrict natural enzymes in these applications e.g., enzyme instability, low activity, limited substrate spectra. Herein, protein engineering was exhibited powerful means to reconstruct natural enzymes for promising enzymes with industrial values. Many enzyme engineering design strategies have emerged in recent years (e.g., directed evolution, semi-rational design, artificial synthesis, Computer-Assisted Design (CAD), artificial intelligence) to generate enzymatic diversity and abundance for needs. This review introduces the development of these protein engineering design strategies. This works primarily focus as upon the application of semi-rational design based on sequence information and protein structure, and artificial intelligence through deep learning algorithms altering the function of natural enzymes to obtain superior functionality and specificity industrial enzymes.
引用
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页数:8
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