Bioinformatics Analysis and Optimization of Cell-Free Protein Synthesis
Bioinformatics Analysis and Optimization of Cell-Free Protein Synthesis
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DOI：
10.1007/978-1-62703-782-2_2
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发表时间：
2014-01-01
期刊：
影响因子：
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通讯作者：
Yokoyama, Shigeyuki
中科院分区：
文献类型：
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作者：
Tokmakov, Alexander A.;Kurotani, Atsushi;Yokoyama, Shigeyuki
无细胞蛋白质合成相对于基于细胞的表达提供了实质性的优势，允许直接进入蛋白质合成反应和对反应条件的细致控制。最近，我们确定了一些统计上显着的相关性之间的计算和预测的氨基酸序列的属性和它们的顺从异源无细胞表达。这些相关性可用于预测表达成功和优化无细胞蛋白质合成。在本章中，我们描述了我们的方法，并演示了如何计算和预测生物信息学可以用来分析和优化无细胞蛋白质表达。
Cell-free protein synthesis offers substantial advantages over cell-based expression, allowing direct access to the protein synthetic reaction and meticulous control over the reaction conditions. Recently, we identified a number of statistically significant correlations between calculated and predicted properties of amino acid sequences and their amenability to heterologous cell-free expression. These correlations can be of practical use for predicting expression success and optimizing cell-free protein synthesis. In this chapter, we describe our approach and demonstrate how computational and predictive bioinformatics can be used to analyze and optimize cell-free protein expression.