孤立反应的酶注释及其在生物制造中的应用

IF 9.1 Q1 ENGINEERING, CHEMICAL Green Chemical Engineering Pub Date : 2023-06-01 DOI:10.1016/j.gce.2022.10.003
Zhen Zhang , Chun Li
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引用次数: 2

摘要

在没有相关酶的情况下,生物合成途径中存在许多生化反应。反生物合成工具预测的反应没有指定基因序列。此外,设计具有新功能的非天然反应也缺乏合适的酶。所有这些反应都可以归类为孤立反应。在这些孤儿反应中缺乏蛋白质编码基因限制了它们的直接实验实施。已经开发了计算工具来寻找这些孤立反应的候选酶。在此,我们讨论了这些计算工具的最新进展,包括基于反应相似性的方法,用于计算孤立反应和已知酶反应之间的子结构相似性;基于序列的工具将代谢知识库和表型信息与基因组、转录组和代谢组学数据相结合,为孤儿反应挖掘合适的酶;以及基于创建孤儿反应的酶变体作为酶工程修饰和酶的从头设计的方法。我们相信,我们的审查将极大地促进微生物细胞工厂的设计,并有助于生物制造领域的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Enzyme annotation for orphan reactions and its applications in biomanufacturing

There are lots of biochemical reactions in the biosynthetic pathway without associated enzymes. Reactions predicted by retro-biosynthetic tools are not assigned gene sequences. Besides, non-natural reactions designed with novel functions also lack suitable enzymes. All these reactions can be categorized as orphan reactions. The absence of protein-encoding genes in these orphan reactions limits their direct experimental implementation. Computational tools have been developed to find candidate enzymes for these orphan reactions. Herein, we discuss recent advances in these computational tools, including reaction similarity-based methods for calculating the substructural similarity between orphan reactions and known enzymatic reactions; sequence-based tools combine metabolic knowledge base and phenotypic information with genomic, transcriptomic, and metabolomic data to mine appropriate enzymes for orphan reactions; and approaches based on the creation of enzyme variants for orphan reactions as enzyme engineering modifications and de novo design of enzymes. We believe that our review will greatly facilitate the design of microbial cell factories and contribute to the development of the biomanufacturing field.

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来源期刊
Green Chemical Engineering
Green Chemical Engineering Process Chemistry and Technology, Catalysis, Filtration and Separation
CiteScore
11.60
自引率
0.00%
发文量
58
审稿时长
51 days
期刊最新文献
OFC: Outside Front Cover Outside Back Cover Outside Back Cover OFC: Outside Front Cover Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production
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