酶的重新设计和遗传密码的扩展。

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Vaitea Opuu, Thomas Simonson
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引用次数: 0

摘要

酶设计是计算蛋白质设计的一个重要应用。它可以从非经典氨基酸(ncAAs)提供的额外化学物质中受益匪浅。这些可以被整合到“扩展”的遗传密码中,并在体内引入靶蛋白。遗传密码扩展的关键步骤是设计一种氨酰基tRNA合成酶(aaRS)和一种处理ncAA的相关tRNA。实验定向进化已经成功地用于设计AARS,并将200多个NCAA合并到扩展代码中。但定向进化有严格的局限性,还不适用于非经典的AA主链。CPD可以帮助解决它的几个局限性,并且已经开始解决这个问题。我们回顾了重新设计aaRS的努力,在ncAAs的帮助下设计新蛋白质和功能的研究,以及已经使用的一些方法开发,例如自适应景观平坦化蒙特卡罗,它允许以底物或过渡态结合为设计目标来重新设计酶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enzyme redesign and genetic code expansion.

Enzyme design is an important application of computational protein design (CPD). It can benefit enormously from the additional chemistries provided by noncanonical amino acids (ncAAs). These can be incorporated into an 'expanded' genetic code, and introduced in vivo into target proteins. The key step for genetic code expansion is to engineer an aminoacyl-transfer RNA (tRNA) synthetase (aaRS) and an associated tRNA that handles the ncAA. Experimental directed evolution has been successfully used to engineer aaRSs and incorporate over 200 ncAAs into expanded codes. But directed evolution has severe limits, and is not yet applicable to noncanonical AA backbones. CPD can help address several of its limitations, and has begun to be applied to this problem. We review efforts to redesign aaRSs, studies that designed new proteins and functionalities with the help of ncAAs, and some of the method developments that have been used, such as adaptive landscape flattening Monte Carlo, which allows an enzyme to be redesigned with substrate or transition state binding as the design target.

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来源期刊
Protein Engineering Design & Selection
Protein Engineering Design & Selection 生物-生化与分子生物学
CiteScore
3.30
自引率
4.20%
发文量
14
审稿时长
6-12 weeks
期刊介绍: Protein Engineering, Design and Selection (PEDS) publishes high-quality research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for understanding the fundamental link between protein sequence, structure, dynamics, function, and evolution.
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