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A non-canonical nucleophile unlocks a new mechanistic pathway in a designed enzyme.一种非经典亲核试剂在设计酶中解锁了一条新的机制途径。
Nat Commun. 2024 Mar 4;15(1):1956. doi: 10.1038/s41467-024-46123-z.
2
Transition Path Sampling Based Calculations of Free Energies for Enzymatic Reactions: The Case of Human Methionine Adenosyl Transferase and Adenosine Deaminase.基于过渡路径采样的酶反应自由能计算:以人类蛋氨酸腺苷转移酶和腺苷脱氨酶为例。
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3
Engineering an efficient and enantioselective enzyme for the Morita-Baylis-Hillman reaction.工程化高效对映选择性酶用于 Morita-Baylis-Hillman 反应。
Nat Chem. 2022 Mar;14(3):313-320. doi: 10.1038/s41557-021-00833-9. Epub 2021 Dec 16.
4
Directed Evolution's Influence on Rapid Density Fluctuations Illustrates How Protein Dynamics Can Become Coupled to Chemistry.定向进化对快速密度波动的影响说明了蛋白质动力学如何与化学过程相耦合。
ACS Catal. 2020 Aug 7;10(15):8476-8484. doi: 10.1021/acscatal.0c01618. Epub 2020 Jul 7.
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Optimization of the Turnover in Artificial Enzymes via Directed Evolution Results in the Coupling of Protein Dynamics to Chemistry.通过定向进化优化人工酶的周转率导致蛋白质动力学与化学相结合。
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Strategies for designing non-natural enzymes and binders.非天然酶和结合物的设计策略。
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Promoting Vibrations and the Function of Enzymes. Emerging Theoretical and Experimental Convergence.促进振动与酶的功能。新兴的理论与实验融合
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The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.用于大分子建模与设计的罗塞塔全原子能量函数。
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A one-way shooting algorithm for transition path sampling of asymmetric barriers.一种用于非对称势垒跃迁路径采样的单向射击算法。
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Enzyme Mimics: Advances and Applications.酶模拟物:进展与应用
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基于过渡态采样方法的 Morita-Baylis-Hillman 反应酶工程研究:为什么酶设计如此困难?

Transition Path Sampling Study of Engineered Enzymes That Catalyze the Morita-Baylis-Hillman Reaction: Why Is Enzyme Design so Difficult?

机构信息

Department of Chemistry and Biochemistry, University of Arizona, 1306 E University Blvd, Tucson, Arizona 85721, United States.

出版信息

J Chem Inf Model. 2024 Mar 25;64(6):2101-2111. doi: 10.1021/acs.jcim.4c00045. Epub 2024 Mar 7.

DOI:10.1021/acs.jcim.4c00045
PMID:38451822
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10963169/
Abstract

It is hoped that artificial enzymes designed in laboratories can be efficient alternatives to chemical catalysts that have been used to synthesize organic molecules. However, the design of artificial enzymes is challenging and requires a detailed molecular-level analysis to understand the mechanism they promote in order to design efficient variants. In this study, we computationally investigate the mechanism of proficient Morita-Baylis-Hillman enzymes developed using a combination of computational design and directed evolution. The powerful transition path sampling method coupled with in-depth post-processing analysis has been successfully used to elucidate the different chemical pathways, transition states, protein dynamics, and free energy barriers of reactions catalyzed by such laboratory-optimized enzymes. This research provides an explanation for how different chemical modifications in an enzyme affect its catalytic activity in ways that are not predictable by static design algorithms.

摘要

人们希望在实验室中设计的人工酶可以成为化学催化剂的有效替代品,这些催化剂已经被用于合成有机分子。然而,人工酶的设计具有挑战性,需要进行详细的分子水平分析,以了解它们促进的机制,从而设计出高效的变体。在这项研究中,我们通过计算方法研究了使用计算设计和定向进化相结合开发的高效 Morita-Baylis-Hillman 酶的机制。强大的过渡态抽样方法结合深入的后处理分析已成功用于阐明此类实验室优化酶催化的不同化学反应途径、过渡态、蛋白质动力学和自由能垒。这项研究解释了酶中的不同化学修饰如何以静态设计算法无法预测的方式影响其催化活性。