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一种基于结构的优化组合蛋白质文库的设计方案。

A Structure-Based Design Protocol for Optimizing Combinatorial Protein Libraries.

作者信息

Lunt Mark W, Snow Christopher D

机构信息

Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, 80523, USA.

出版信息

Methods Mol Biol. 2016;1414:99-138. doi: 10.1007/978-1-4939-3569-7_7.

Abstract

Protein variant libraries created via site-directed mutagenesis are a powerful approach to engineer improved proteins for numerous applications such as altering enzyme substrate specificity. Conventional libraries commonly use a brute force approach: saturation mutagenesis via degenerate codons that encode all 20 natural amino acids. In contrast, this chapter describes a protocol for designing "smarter" degenerate codon libraries via direct combinatorial optimization in "library space." Several case studies illustrate how it is possible to design degenerate codon libraries that are highly enriched for favorable, low-energy sequences as assessed using a standard all-atom scoring function. There is much to gain for experimental protein engineering laboratories willing to think beyond site saturation mutagenesis. In the common case that the exact experimental screening budget is not fixed, it is particularly helpful to perform a Pareto analysis to inspect favorable libraries at a range of possible library sizes.

摘要

通过定点诱变创建的蛋白质变体文库是一种强大的方法,可用于设计改良蛋白质以用于众多应用,如改变酶的底物特异性。传统文库通常采用强力方法:通过编码所有20种天然氨基酸的简并密码子进行饱和诱变。相比之下,本章描述了一种通过在“文库空间”中进行直接组合优化来设计“更智能”简并密码子文库的方案。几个案例研究说明了如何设计简并密码子文库,这些文库使用标准全原子评分函数评估时,高度富集了有利的低能量序列。对于愿意超越位点饱和诱变进行思考的实验性蛋白质工程实验室来说,有很多收获。在确切的实验筛选预算不固定的常见情况下,进行帕累托分析以检查一系列可能文库大小下的有利文库特别有帮助。

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