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通过有益取代的重组来增强蛋白质工程。

Empowering Protein Engineering through Recombination of Beneficial Substitutions.

机构信息

School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, No. 2 Xuelin Road, Nanjing, 210097, China.

School of Life Sciences, Nanjing Normal University, No. 2 Xuelin Road, Nanjing, 210097, China.

出版信息

Chemistry. 2024 Mar 15;30(16):e202303889. doi: 10.1002/chem.202303889. Epub 2024 Feb 22.

Abstract

Directed evolution stands as a seminal technology for generating novel protein functionalities, a cornerstone in biocatalysis, metabolic engineering, and synthetic biology. Today, with the development of various mutagenesis methods and advanced analytical machines, the challenge of diversity generation and high-throughput screening platforms is largely solved, and one of the remaining challenges is: how to empower the potential of single beneficial substitutions with recombination to achieve the epistatic effect. This review overviews experimental and computer-assisted recombination methods in protein engineering campaigns. In addition, integrated and machine learning-guided strategies were highlighted to discuss how these recombination approaches contribute to generating the screening library with better diversity, coverage, and size. A decision tree was finally summarized to guide the further selection of proper recombination strategies in practice, which was beneficial for accelerating protein engineering.

摘要

定向进化是一种产生新型蛋白质功能的重要技术,是生物催化、代谢工程和合成生物学的基石。如今,随着各种诱变方法和先进分析仪器的发展,多样性产生和高通量筛选平台的挑战在很大程度上得到了解决,剩下的挑战之一是:如何利用重组赋予单个有益取代的潜力,以实现上位效应。本综述概述了蛋白质工程研究中实验和计算机辅助重组方法。此外,还强调了集成和机器学习指导的策略,以讨论这些重组方法如何有助于生成具有更好多样性、覆盖度和规模的筛选文库。最后总结了一个决策树,以指导在实践中进一步选择适当的重组策略,这有利于加速蛋白质工程的发展。

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