Chica Roberto A, Doucet Nicolas, Pelletier Joelle N
Département de chimie, Université de Montréal, CP 6128, Succursale Centre-Ville, Montréal, Québec, H3C 3J7, Canada.
Curr Opin Biotechnol. 2005 Aug;16(4):378-84. doi: 10.1016/j.copbio.2005.06.004.
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.
许多研究小组成功地依靠全基因随机诱变和重组方法来进行酶的定向进化。酶工程的最新进展将这些随机定向进化方法与合理的酶修饰元素相结合,成功地绕过了定向进化和合理设计的某些局限性。基于先前的结构或功能知识,针对多个特定残基进行突变的半理性方法创建了更有可能产生积极结果的“智能”文库。在实验上以及在更大规模上通过计算对可能影响酶功能的突变进行了有效采样,在底物选择性和特异性以及已知结构支架内酶活性的从头设计方面取得了显著进展。