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酶热稳定性的新见解:“短板”理论与零样本哈密顿模型。

Novel Insights into Enzymatic Thermostability: The "Short Board" Theory and Zero-Shot Hamiltonian Model.

作者信息

Liao Min, Feng Shihao, Liu Xiaoqing, Xu Guoshun, Li Sicong, Bai Yingguo, Luo Huiying, Yao Bin, Wang Haobo, Tu Tao

机构信息

State Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.

Changping Laboratory, Beijing, 102200, China.

出版信息

Adv Sci (Weinh). 2024 Dec;11(45):e2402441. doi: 10.1002/advs.202402441. Epub 2024 Sep 23.

Abstract

Understanding the mechanism underlying thermostabilization in naturally stable enzymes and enhancing the thermostability of unstable enzymes are crucial aspects in enzyme engineering. Despite the development of various engineering methods, there remains substantial scope for improvement. In this study, a novel concept termed as the "short board" theory is proposed, which conceptualizes proteins as barrels with each component representing a jagged board. Notably, optimizing modifications to the shortest board yields optimal enhancements in terms of thermostability performance. To validate this theory, α-amylase, an industrial bulk enzyme with multiple domains, is employed as a model enzyme. The existence of "short boards" and their impact on thermostability modification are demonstrated at the domain, residue, and atomic levels through experimental confirmation using domain substitution. Furthermore, a novel thermostable design and prediction model called Zero-Shot Hamiltonian (ZSH) is established and evaluated on α-amylase. This coevolutionary approach based on thermostability and deep learning exhibits remarkable success exclusively when applied to enzymes with fixed short boards. The integration of the "short board" theory with the ZSH model presents an innovative tool for enhancing enzymatic thermostability.

摘要

了解天然稳定酶中热稳定化的潜在机制以及提高不稳定酶的热稳定性是酶工程的关键方面。尽管已经开发了各种工程方法,但仍有很大的改进空间。在本研究中,提出了一种称为“短板”理论的新概念,该理论将蛋白质概念化为桶,每个组件代表一块锯齿状的板。值得注意的是,对最短的板进行优化修饰可在热稳定性性能方面产生最佳增强效果。为了验证该理论,将具有多个结构域的工业大量酶α-淀粉酶用作模型酶。通过使用结构域替换的实验证实,在结构域、残基和原子水平上证明了“短板”的存在及其对热稳定性修饰的影响。此外,建立了一种称为零射击哈密顿量(ZSH)的新型热稳定设计和预测模型,并在α-淀粉酶上进行了评估。这种基于热稳定性和深度学习的协同进化方法仅在应用于具有固定短板的酶时才取得了显著成功。“短板”理论与ZSH模型的整合为提高酶的热稳定性提供了一种创新工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8929/11615740/d4136856789c/ADVS-11-2402441-g003.jpg

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