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用于饱和诱变的密码子压缩动态管理

Dynamic Management of Codon Compression for Saturation Mutagenesis.

作者信息

Pines Gur, Gill Ryan T

机构信息

Renewable and Sustainable Energy Institute (RASEI), University of Colorado Boulder, Boulder, CO, USA.

Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA.

出版信息

Methods Mol Biol. 2018;1772:171-189. doi: 10.1007/978-1-4939-7795-6_9.

Abstract

Saturation mutagenesis is conveniently located between the two extremes of protein engineering, namely random mutagenesis, and rational design. It involves mutating a confined number of target residues to other amino acids, and hence requires knowledge regarding the sites for mutagenesis, but not their final identity. There are many different strategies for performing and designing such experiments, ranging from simple single degenerate codons to codon collections that code for distinct sets of amino acids. Here, we provide detailed information on the Dynamic Management for Codon Compression (DYNAMCC) approaches that allow us to precisely define the desired amino acid composition to be introduced to a specific target site. DYNAMCC allows us to set usage thresholds and to eliminate undesirable stop and wild-type codons, thus allowing us to control library size and subsequently downstream screening efforts. The DYNAMCC algorithms are free of charge and are implemented in a website for easy access and usage: www.dynamcc.com .

摘要

饱和诱变恰好处于蛋白质工程的两个极端之间,即随机诱变和理性设计。它涉及将有限数量的目标残基突变为其他氨基酸,因此需要有关诱变位点的知识,但不需要知道其最终的氨基酸种类。进行和设计此类实验有许多不同的策略,从简单的单个简并密码子到编码不同氨基酸集的密码子组合。在这里,我们提供了有关密码子压缩动态管理(DYNAMCC)方法的详细信息,这些方法使我们能够精确地定义要引入特定目标位点的所需氨基酸组成。DYNAMCC使我们能够设置使用阈值并消除不需要的终止密码子和野生型密码子,从而使我们能够控制文库大小并随后进行下游筛选工作。DYNAMCC算法是免费的,并在一个网站上实现,便于访问和使用:www.dynamcc.com

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