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内腔的反向计算设计以提高脂肪酶的热稳定性和催化活性。

Inside Out Computational Redesign of Cavities for Improving Thermostability and Catalytic Activity of Lipase.

机构信息

The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.

Faculty of Biology, Shenzhen MSU-BIT University, Guangdong, China.

出版信息

Appl Environ Microbiol. 2023 Mar 29;89(3):e0217222. doi: 10.1128/aem.02172-22. Epub 2023 Mar 13.

Abstract

Cavities are created by hydrophobic interactions between residue side chain atoms during the folding of enzymes. Redesigning cavities can improve the thermostability and catalytic activity of the enzyme; however, the synergistic effect of cavities remains unclear. In this study, Rhizomucor miehei lipase (RML) was used as a model to explore volume fluctuation and spatial distribution changes of the internal cavities, which could reveal the roles of internal cavities in the thermostability and catalytic activity. We present an inside out cavity engineering (CE) strategy based on computational techniques to explore how changes in the volumes and spatial distribution of cavities affect the thermostability and catalytic activity of the enzyme. We obtained 12 single-point mutants, among which the melting temperatures () of 8 mutants showed an increase of more than 2°C. Sixteen multipoint mutations were further designed by spatial distribution rearrangement of internal cavities. The of the most stable triple variant, with mutations including T21V (a change of T to V at position 21), S27A, and T198L (T21V/S27A/T198L), was elevated by 11.0°C, together with a 28.7-fold increase in the half-life at 65°C and a specific activity increase of 9.9-fold (up to 5,828 U mg), one of the highest lipase activities reported. The possible mechanism of decreased volumes and spatial rearrangement of the internal cavities improved the stability of the enzyme, optimizing the outer substrate tunnel to improve the catalytic efficiency. Overall, the inside out computational redesign of cavities method could help to deeply understand the effect of cavities on enzymatic stability and activity, which would be beneficial for protein engineering efforts to optimize natural enzymes. In the present study, R. miehei lipase, which is widely used in various industries, provides an opportunity to explore the effects of internal cavities on the thermostability and catalytic activity of enzymes. Here, we execute high hydrostatic pressure molecular dynamics (HP-MD) simulations to screen the critical internal cavity and reshape the internal cavities through site-directed mutation. We show that as the global internal cavity volume decreases, cavity rearrangement can improve the stability of the protein while optimizing the substrate channel to improve the catalytic efficiency. Our results provide significant insights into understanding the mechanism of action of the internal cavity. Our strategy is expected to be applied to other enzymes to promote increases in thermostability and catalytic activity.

摘要

腔是酶折叠过程中残基侧链原子之间的疏水相互作用产生的。重新设计腔可以提高酶的热稳定性和催化活性;然而,腔的协同作用仍不清楚。在这项研究中,米赫毛霉脂肪酶 (RML) 被用作模型,以探索内部腔的体积波动和空间分布变化,这可以揭示内部腔在热稳定性和催化活性中的作用。我们提出了一种基于计算技术的内外腔工程 (CE) 策略,以探索腔体积和空间分布的变化如何影响酶的热稳定性和催化活性。我们获得了 12 个单点突变体,其中 8 个突变体的熔点 () 升高了 2°C 以上。通过内部空腔的空间分布重排进一步设计了 16 个多点突变。最稳定的三重变体的 ,其突变包括 T21V(位置 21 处的 T 变为 V)、S27A 和 T198L(T21V/S27A/T198L),升高了 11.0°C,半衰期在 65°C 下提高了 28.7 倍,比活性提高了 9.9 倍(高达 5,828 U mg),是报道的最高脂肪酶活性之一。内部空腔体积减小和空间重排的可能机制提高了酶的稳定性,优化了外底物隧道以提高催化效率。总体而言,内部空腔的计算重设计方法可以帮助深入了解空腔对酶稳定性和活性的影响,这将有利于优化天然酶的蛋白质工程努力。 在本研究中,广泛应用于各个行业的米赫毛霉脂肪酶为探索内部空腔对酶热稳定性和催化活性的影响提供了机会。在这里,我们执行高静水压力分子动力学 (HP-MD) 模拟来筛选关键的内部空腔并通过定点突变重塑内部空腔。我们表明,随着全局内部腔体积的减小,腔的重新排列可以提高蛋白质的稳定性,同时优化底物通道以提高催化效率。我们的结果提供了对内部空腔作用机制的深入了解。我们的策略有望应用于其他酶以提高热稳定性和催化活性。

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