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用于定向进化的组合文库的快速灵活合成

Fast and Flexible Synthesis of Combinatorial Libraries for Directed Evolution.

作者信息

Sadler Joanna C, Green Lucy, Swainston Neil, Kell Douglas B, Currin Andrew

机构信息

School of Chemistry, Faculty of Science and Engineering, Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, University of Manchester, Manchester, United Kingdom.

School of Chemistry, Faculty of Science and Engineering, Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, University of Manchester, Manchester, United Kingdom.

出版信息

Methods Enzymol. 2018;608:59-79. doi: 10.1016/bs.mie.2018.04.006. Epub 2018 May 24.

Abstract

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 k. 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.

摘要

定向进化(DE)是一种强大的工具,可针对特定目标优化酶的特性,例如更广泛的底物范围、更高的热稳定性或更高的催化常数(k)。一个成功的DE项目需要产生遗传多样性,随后进行筛选或选择,以识别适应性更强的变体。与随机方法(易错PCR或DNA改组)不同,定点诱变能够合理设计变体文库,并控制编码突变的性质和频率。蛋白质结构、动力学、酶机制和自然进化方面的知识表明,需要多个(组合)突变才能发现最优化的变体。为此,我们描述了一种实验简单且低成本的组合变体文库制备方法。我们的方法采用两步PCR方案,首先产生诱变巨型引物,然后可以以“混合匹配”的方式将它们组合起来,快速准确地生成各种组合变体文库。

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