DNA洗牌
定向进化
洗牌
热稳定性
定向分子进化
突变
计算生物学
范围(计算机科学)
蛋白质工程
选择(遗传算法)
计算机科学
生物
遗传学
突变
酶
人工智能
基因
生物化学
突变体
程序设计语言
作者
Joanna C. Sadler,Lucy Green,Neil Swainston,Douglas B. Kell,Andrew Currin
出处
期刊:Methods in Enzymology
日期:2018-01-01
卷期号:: 59-79
被引量:11
标识
DOI:10.1016/bs.mie.2018.04.006
摘要
Directed evolution (DE) is a powerful tool for optimizing an enzyme's properties toward a particular objective, such as broader substrate scope, greater thermostability, or increased kcat. A successful DE project requires the generation of genetic diversity and subsequent screening or selection to identify variants with improved fitness. In contrast to random methods (error-prone PCR or DNA shuffling), site-directed mutagenesis enables the rational design of variant libraries and provides control over the nature and frequency of the encoded mutations. Knowledge of protein structure, dynamics, enzyme mechanisms, and natural evolution demonstrates that multiple (combinatorial) mutations are required to discover the most improved variants. To this end, we describe an experimentally straightforward and low-cost method for the preparation of combinatorial variant libraries. Our approach employs a two-step PCR protocol, first producing mutagenic megaprimers, which can then be combined in a “mix-and-match” fashion to generate diverse sets of combinatorial variant libraries both quickly and accurately.
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