Structural analyses of Glycyrrhiza glabra C-glycosyltransferase: a molecular dynamics study to elucidate catalytically active complexes†

IF 2.7 3区 化学 Q1 CHEMISTRY, ORGANIC Organic & Biomolecular Chemistry Pub Date : 2024-11-21 DOI:10.1039/d4ob01814a
Gonzalo A. Jaña , Fabiola E. Medina , Francisco Barrios , Jorge I. Martínez-Araya , Fernanda Mendoza
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Abstract

C-Glycosides belong to a class of bioactive compounds biosynthesized by C-glycosyltransferases, also known as C-GTs. Despite their practical significance, C-GTs have scarcely been studied due to the limited availability of their crystal structures. In this study, we applied molecular dynamics (MD) simulations and density functional theory (DFT) calculations to investigate Glycyrrhiza glabra C-GT (GgCGT), focusing on the impact of protonation states of two histidine residues and specific mutations on enzyme–substrate configurations. We explored nine native ternary models, considering all possible combinations of protonation states for the His351/His373 pair, which we proposed as fundamental for catalysis. We also included four different mutants designed to assess the role of residues found to be essential for catalytic activity through mutagenesis experiments: His12Ala, His12Lys, His12Lysn and Asp375Ala. MD simulations revealed that only two models (M1 and M3) satisfied the criteria for catalytic competence, where the protonation states of His351 and His373 significantly influenced the relative position between donor and acceptor substrates, as well as the acceptor substrate conformation, adopting extended and packed states. DFT calculations confirmed that these conformations impact the electron density distribution, influencing substrate reactivity. Mutant simulations further supported the experimental data: His12Ala, His12Lys, and Asp375Ala mutants failed to meet the catalytic distance criteria, leading us to infer that these mutations prevented the formation of a reactive enzyme–substrate complex. Conversely, the His12Lysn mutant partially meets the criteria, which could help to explain the catalytic activity of this mutant. These findings provide the first molecular interpretation of the role of key residues in substrate binding and catalysis, which are essential for understanding catalytic activity. Furthermore, they offer new structural insights into residues such as His351/His373, which are often overlooked in GT modeling despite their potential to modulate the Michaelis complex. We hope that these findings will contribute to the rational engineering of more efficient C-GTs for biotechnological applications.

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甘草c -糖基转移酶的结构分析:阐明其催化活性复合物的分子动力学研究。
c -糖苷是一类由c -糖基转移酶(也称为c - gt)生物合成的生物活性化合物。尽管具有实际意义,但由于其晶体结构的可用性有限,对c - gt的研究很少。在这项研究中,我们应用分子动力学(MD)模拟和密度泛函数理论(DFT)计算来研究Glycyrrhiza glabra C-GT (GgCGT),重点研究了两个组氨酸残基的质子化状态和特定突变对酶-底物构型的影响。我们探索了9种天然三元模型,考虑了所有可能的His351/His373对质子化态的组合,我们认为这是催化的基础。我们还纳入了四种不同的突变体,旨在通过诱变实验评估对催化活性至关重要的残基的作用:His12Ala, His12Lys, His12Lysn和Asp375Ala。MD模拟表明,只有两个模型(M1和M3)满足催化能力的标准,其中His351和His373的质子化状态显著影响供体和受体底物之间的相对位置,以及受体底物的构象,采用扩展态和填充态。DFT计算证实,这些构象影响电子密度分布,影响衬底反应性。突变体模拟进一步支持实验数据:His12Ala、His12Lys和Asp375Ala突变体不符合催化距离标准,这使我们推断这些突变阻止了活性酶-底物复合物的形成。相反,His12Lysn突变体部分符合标准,这有助于解释该突变体的催化活性。这些发现提供了关键残基在底物结合和催化中的作用的第一个分子解释,这对理解催化活性至关重要。此外,它们还为His351/His373等残基提供了新的结构见解,尽管它们具有调节Michaelis复合体的潜力,但在GT建模中经常被忽视。我们希望这些发现将有助于更有效的生物技术应用的c - gt的合理工程。
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来源期刊
Organic & Biomolecular Chemistry
Organic & Biomolecular Chemistry 化学-有机化学
CiteScore
5.50
自引率
9.40%
发文量
1056
审稿时长
1.3 months
期刊介绍: Organic & Biomolecular Chemistry is an international journal using integrated research in chemistry-organic chemistry. Founded in 2003 by the Royal Society of Chemistry, the journal is published in Semimonthly issues and has been indexed by SCIE, a leading international database. The journal focuses on the key research and cutting-edge progress in the field of chemistry-organic chemistry, publishes and reports the research results in this field in a timely manner, and is committed to becoming a window and platform for rapid academic exchanges among peers in this field. The journal's impact factor in 2023 is 2.9, and its CiteScore is 5.5.
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