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Enzyme Microb Technol. 2024 Mar;174:110378. doi: 10.1016/j.enzmictec.2023.110378. Epub 2023 Dec 13.
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YASARA Model-Interactive Molecular Modeling from Two Dimensions to Virtual Realities.雅莎拉模型——从二维到虚拟现实的交互式分子建模。
J Chem Inf Model. 2023 Oct 23;63(20):6177-6182. doi: 10.1021/acs.jcim.3c01136. Epub 2023 Oct 2.
3
Computational remodeling of an enzyme conformational landscape for altered substrate selectivity.计算重塑酶构象景观以改变底物选择性。
Nat Commun. 2023 Sep 28;14(1):6058. doi: 10.1038/s41467-023-41762-0.
4
Computational redesign of cytochrome P450 CYP102A1 for highly stereoselective omeprazole hydroxylation by UniDesign.UniDesign 对细胞色素 P450 CYP102A1 进行计算重设计,以实现奥美拉唑的高度立体选择性羟化。
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Atomistic insight into the binding mode and self-regulation mechanism of PETase towards PET substrates with different polymerization degrees.原子水平上深入了解 PETase 对不同聚合度的 PET 底物的结合模式和自我调节机制。
Phys Chem Chem Phys. 2023 Jul 12;25(27):18332-18345. doi: 10.1039/d3cp01700a.
6
Enhancing the organic solvent resistance of ω-amine transaminase for enantioselective synthesis of (R)-(+)-1(1-naphthyl)-ethylamine.增强ω-氨基转氨酶的耐有机溶剂性能用于对映选择性合成(R)-(+)-1-(1-萘基)乙胺。
Biotechnol J. 2023 Oct;18(10):e2300120. doi: 10.1002/biot.202300120. Epub 2023 Jul 9.
7
Turning thermostability of Aspergillus terreus (R)-selective transaminase At-ATA by synthetic shuffling.通过合成改组提高土曲霉(R)选择性转氨酶 At-ATA 的热稳定性。
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通过底物-酶结合自由能引导 ω-氨基转氨酶 ATA 的进化,以提高对非天然底物的活性和稳定性。

Evolving ω-amine transaminase ATA guided by substrate-enzyme binding free energy for enhancing activity and stability against non-natural substrates.

机构信息

Key Laboratory of Chemical and Biological Processing Technology for Farm Products of Zhejiang Province, Zhejiang Provincial Collaborative Innovation Center of Agricultural Biological Resources Biochemical Manufacturing, School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China.

出版信息

Appl Environ Microbiol. 2024 Jul 24;90(7):e0054324. doi: 10.1128/aem.00543-24. Epub 2024 Jun 12.

DOI:10.1128/aem.00543-24
PMID:38864627
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11267935/
Abstract

In the field of chiral amine synthesis, ω-amine transaminase (ω-ATA) is one of the most established enzymes capable of asymmetric amination under optimal conditions. However, the applicability of ω-ATA toward more non-natural complex molecules remains limited due to its low transamination activity, thermostability, and narrow substrate scope. Here, by employing a combined approach of computational virtual screening strategy and combinatorial active-site saturation test/iterative saturation mutagenesis strategy, we have constructed the best variant M14C3-V5 (M14C3-V62A-V116S-E117I-L118I-V147F) with improved ω-ATA from (ATA) activity and thermostability toward non-natural substrate 1-acetylnaphthalene, which is the ketone precursor for producing the intermediate ()-(+)-1-(1-naphthyl)ethylamine [()-NEA] of cinacalcet hydrochloride, showing activity enhancement of up to 3.4-fold compared to parent enzyme M14C3 (ATA-F115L-M150C-H210N-M280C-V149A-L182F-L187F). The computational tools YASARA, Discovery Studio, Amber, and FoldX were applied for predicting mutation hotspots based on substrate-enzyme binding free energies and to show the possible mechanism with features related to ATA structure, catalytic activity, and stability analyses. M14C3-V5 achieved 71.8% conversion toward 50 mM 1-acetylnaphthalene in a 50 mL preparative-scale reaction for preparing ()-NEA. Moreover, M14C3-V5 expanded the substrate scope toward aromatic ketone compounds. The generated virtual screening strategy based on the changes in binding free energies has successfully predicted the ATA activity toward 1-acetylnaphthalene and related substrates. Together with experimental data, these approaches can serve as a gateway to explore desirable performances, expand enzyme-substrate scope, and accelerate biocatalysis.IMPORTANCEChiral amine is a crucial compound with many valuable applications. Their asymmetric synthesis employing ω-amine transaminases (ω-ATAs) is considered an attractive method. However, most ω-ATAs exhibit low activity and stability toward various non-natural substrates, which limits their industrial application. In this work, protein engineering strategy and computer-aided design are performed to evolve the activity and stability of ω-ATA from toward non-natural substrates. After five rounds of mutations, the best variant, M14C3-V5, is obtained, showing better catalytic efficiency toward 1-acetylnaphthalene and higher thermostability than the original enzyme, M14C3. The robust combinational variant acquired displayed significant application value for pushing the asymmetric synthesis of aromatic chiral amines to a higher level.

摘要

在手性胺合成领域,ω-氨基转氨酶(ω-ATA)是最成熟的酶之一,能够在最佳条件下进行不对称氨基化反应。然而,由于其较低的转氨活性、热稳定性和较窄的底物范围,ω-ATA 在手性胺的合成中对于更多非天然复杂分子的适用性仍然有限。在这里,我们通过采用组合的计算虚拟筛选策略和组合活性位点饱和测试/迭代饱和突变策略,从(ATA)对非天然底物 1-乙酰萘的转氨活性和热稳定性出发,构建了最佳变体 M14C3-V5(M14C3-V62A-V116S-E117I-L118I-V147F),该变体对生产盐酸西那卡塞中间体()-(+)-1-(1-萘基)乙基胺[()-NEA]的酮前体 1-乙酰萘的活性提高了 3.4 倍,与亲本酶 M14C3(ATA-F115L-M150C-H210N-M280C-V149A-L182F-L187F)相比。YASARA、Discovery Studio、Amber 和 FoldX 等计算工具被应用于预测基于底物-酶结合自由能的突变热点,并展示与 ATA 结构、催化活性和稳定性分析相关的可能机制。M14C3-V5 在 50 mL 制备规模的反应中实现了 50 mM 1-乙酰萘的 71.8%转化率,用于制备()-NEA。此外,M14C3-V5 还扩大了芳香酮化合物的底物范围。基于结合自由能变化的虚拟筛选策略成功地预测了 ATA 对 1-乙酰萘和相关底物的活性。与实验数据相结合,这些方法可以作为探索理想性能、扩展酶-底物范围和加速生物催化的途径。

重要性

手性胺是一种具有许多有价值应用的重要化合物。它们的不对称合成采用ω-氨基转氨酶(ω-ATAs)被认为是一种有吸引力的方法。然而,大多数 ω-ATAs 对各种非天然底物的活性和稳定性较低,限制了它们的工业应用。在这项工作中,我们通过蛋白质工程策略和计算机辅助设计来提高 ω-ATA 从 对非天然底物的活性和稳定性。经过五轮突变,获得了最佳变体 M14C3-V5,该变体对 1-乙酰萘的催化效率更高,热稳定性优于原始酶 M14C3。获得的稳健组合变体具有显著的应用价值,可将芳香手性胺的不对称合成推向更高水平。