合理设计
定向进化
蛋白质工程
定向分子进化
突变
计算生物学
酶
合成生物学
功能(生物学)
计算机科学
生化工程
生物
基因
生物化学
突变
遗传学
工程类
突变体
作者
Roberto A. Chica,Nicolas Doucet,Joelle N. Pelletier
标识
DOI:10.1016/j.copbio.2005.06.004
摘要
Many research groups successfully rely on whole-gene random mutagenesis and recombination approaches for the directed evolution of enzymes. Recent advances in enzyme engineering have used a combination of these random methods of directed evolution with elements of rational enzyme modification to successfully by-pass certain limitations of both directed evolution and rational design. Semi-rational approaches that target multiple, specific residues to mutate on the basis of prior structural or functional knowledge create ‘smart’ libraries that are more likely to yield positive results. Efficient sampling of mutations likely to affect enzyme function has been conducted both experimentally and, on a much greater scale, computationally, with remarkable improvements in substrate selectivity and specificity and in the de novo design of enzyme activities within scaffolds of known structure.
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