Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China.
National Technology Innovation Center of Synthetic Biology, Tianjin, China.
Methods Mol Biol. 2022;2397:49-69. doi: 10.1007/978-1-0716-1826-4_4.
Directed enzyme evolution has proven to be a powerful means to endow biocatalysts with novel catalytic repertoires. Apart from completely random gene mutagenesis, site-directed or site-saturation mutagenesis requires a semi-rational selection of the amino acid positions or the substituted residues, which can dramatically reduce the screening efforts in protein engineering. To this end, in silico prediction methods play a pivotal role in targeting site-saturation mutagenesis. In this chapter, we provide two distinct computational methods, (a) conformational dynamics-guided design and (b) protein-ligand interaction fingerprinting analysis, to identify specific positions for site-saturation mutagenesis toward manipulating substrate specificity/stereoselectivity of an alcohol dehydrogenase, and improving activity of a carboxylic acid reductase, respectively.
定向酶进化已被证明是赋予生物催化剂新催化谱的有力手段。除了完全随机的基因突变外,定点或定点饱和突变需要对半理性地选择氨基酸位置或取代残基,这可以大大减少蛋白质工程中的筛选工作。为此,在计算机上进行预测方法在定点饱和突变的目标中起着关键作用。在本章中,我们提供了两种不同的计算方法,(a)构象动力学指导设计和(b)蛋白质-配体相互作用指纹分析,分别用于识别定点饱和突变的特定位置,以操纵醇脱氢酶的底物特异性/立体选择性,并提高羧酸还原酶的活性。