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来自设计组合文库的从头合成蛋白质。

De novo proteins from designed combinatorial libraries.

作者信息

Hecht Michael H, Das Aditi, Go Abigail, Bradley Luke H, Wei Yinan

机构信息

Department of Chemistry, Princeton University, Princeton, NJ 08544, USA.

出版信息

Protein Sci. 2004 Jul;13(7):1711-23. doi: 10.1110/ps.04690804.

Abstract

Combinatorial libraries of de novo amino acid sequences can provide a rich source of diversity for the discovery of novel proteins with interesting and important activities. Randomly generated sequences, however, rarely fold into well-ordered proteinlike structures. To enhance the quality of a library, features of rational design must be used to focus sequence diversity into those regions of sequence space that are most likely to yield folded structures. This review describes how focused libraries can be constructed by designing the binary pattern of polar and nonpolar amino acids to favor proteins that contain abundant secondary structure, while simultaneously burying hydrophobic side chains and exposing hydrophilic side chains to solvent. The "binary code" for protein design was used to construct several libraries of de novo proteins, including both alpha-helical and beta-sheet structures. The recently determined solution structure of a binary patterned four-helix bundle is well ordered, thereby demonstrating that sequences that have neither been selected by evolution (in vivo or in vitro) nor designed by computer can form nativelike proteins. Examples are presented demonstrating how binary patterned libraries have successfully produced well-ordered structures, cofactor binding, catalytic activity, self-assembled monolayers, amyloid-like nanofibrils, and protein-based biomaterials.

摘要

从头合成氨基酸序列的组合文库可为发现具有有趣且重要活性的新型蛋白质提供丰富的多样性来源。然而,随机生成的序列很少能折叠成有序的类蛋白质结构。为提高文库质量,必须运用合理设计的特征,将序列多样性聚焦到序列空间中最有可能产生折叠结构的区域。本综述描述了如何通过设计极性和非极性氨基酸的二元模式来构建聚焦文库,以利于包含丰富二级结构的蛋白质,同时将疏水侧链埋藏起来,使亲水侧链暴露于溶剂中。蛋白质设计的“二进制编码”被用于构建几个从头合成蛋白质的文库,包括α - 螺旋和β - 折叠结构。最近确定的一种二元模式四螺旋束的溶液结构排列有序,从而证明既未经过进化选择(体内或体外)也未经过计算机设计的序列能够形成天然样蛋白质。文中给出了一些例子,展示了二元模式文库如何成功产生有序结构、辅因子结合、催化活性、自组装单分子层、淀粉样纳米纤维以及基于蛋白质的生物材料。

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本文引用的文献

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