高效的饱和诱变文库设计。

IF 2.6 Q2 BIOCHEMICAL RESEARCH METHODS
Synthetic biology (Oxford, England) Pub Date : 2022-04-28 eCollection Date: 2022-01-01 DOI:10.1093/synbio/ysac006
Gur Pines, Assaf Pines, Carrie A Eckert
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引用次数: 1

摘要

饱和诱变是一种半理性的蛋白质工程方法,其中位点完全或部分饱和以包含感兴趣的氨基酸。我们之前报道过一种密码子压缩算法,该算法根据用户定义的参数(如目标生物、饱和类型和使用水平)选择一组最小简并密码子。在这里,我们为我们的web工具添加了一个附加功能,该工具根据其目的考虑野生型密码子和库之间的距离。这些形式的限制馆藏进一步减少了图书馆的规模,降低了下游筛选工作,或者反过来,允许多个站点更全面地饱和。库设计工具可以通过http://www.dynamcc.com/dynamcc_d/访问。图形抽象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Highly efficient libraries design for saturation mutagenesis.

Highly efficient libraries design for saturation mutagenesis.

Highly efficient libraries design for saturation mutagenesis.

Highly efficient libraries design for saturation mutagenesis.

Saturation mutagenesis is a semi-rational approach for protein engineering where sites are saturated either entirely or partially to include amino acids of interest. We previously reported on a codon compression algorithm, where a set of minimal degenerate codons are selected according to user-defined parameters such as the target organism, type of saturation and usage levels. Here, we communicate an addition to our web tool that considers the distance between the wild-type codon and the library, depending on its purpose. These forms of restricted collections further reduce library size, lowering downstream screening efforts or, in turn, allowing more comprehensive saturation of multiple sites. The library design tool can be accessed via http://www.dynamcc.com/dynamcc_d/. Graphical Abstract.

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