A Structural Model of Truncated Gaussia princeps Luciferase Elucidating the Crucial Catalytic Function of No.76 Arginine towards Coelenterazine Oxidation.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2025-01-21 eCollection Date: 2025-01-01 DOI:10.1371/journal.pcbi.1012722
Nan Wu, Zhi-Chao Xu, Kai-Dong Du, Shen Huang, Naohiro Kobayashi, Yutaka Kuroda, Yan-Hong Bai
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引用次数: 0

Abstract

Gaussia Luciferase (GLuc) is a renowned reporter protein that can catalyze the oxidation of coelenterazine (CTZ) and emit a bright light signal. GLuc comprises two consecutive repeats that form the enzyme body and a central putative catalytic cavity. However, deleting the C-terminal repeat only limited reduces the activity (over 30% residual luminescence intensity detectable), despite being a key part of the cavity. How does the remaining GLuc (tGLuc) catalyze CTZ? To address this question, we built a structural model of tGLuc by removing the C-terminal repeat from the resolved structure of intact GLuc, and verified that the cavity-forming component in GLuc remains stable and provides an open-mouth cavity in tGLuc during 500 ns MD simulations in water. Docking simulation and a followed umbrella sampling analysis further revealed that the cavity on tGLuc has a high affinity for CTZ, with a binding energy of up to -114 kJ/mol. Moreover, R76, a validated activity-critical amino acid residue, resides in the cavity and forms a stable hydrogen bond with CTZ. Then, we constructed a cluster model to examine the CTZ oxidation pathway in the cavity using Density Functional Theory (DFT) calculations. The result showed that the pathway consists of four elementary reactions, with the highest Gibbs energy barrier being 65.4 kJ/mol. Both intramolecular electron transfer and the convergence of S1/S0 potential energy surfaces occurred in the last elementary reaction, which was regarded as the reported Chemically-Initiated-Electron-Exchange-Luminescence (CIEEL) reaction. Geometry and wavefunction analysis on the pathway indicated that R76 plays a vital role in CTZ oxidation, which first anchors the environmental oxygen molecule and induces it to form a singlet biradical state, facilitating its attack on CTZ. Subsequently, R76 and the adjacent Q88, positioned near R76 through the tGLuc refolding process, stabilize the transition states and facilitate the emergence of radical electrons on CTZ at the onset of the CIEEL reaction, which contributes to the subsequent intramolecular electron transfer and the production of excited amide product. This study provides a comprehensive explanation of tGLuc's catalytic mechanism. However, it is important to note that these findings are specific to tGLuc and may not extend to other CTZ-based luciferases, particularly those lacking arginine in their catalytic cavities, which likely operate via distinct mechanisms.

截断型Gaussia princeps荧光素酶的结构模型:阐明No.76精氨酸对Coelenterazine氧化的关键催化作用。
高斯荧光素酶(GLuc)是一种著名的报告蛋白,可以催化coelenterazine (CTZ)氧化并发出明亮的光信号。GLuc包括两个连续的重复序列,形成酶体和一个假定的中心催化腔。然而,删除c端重复只会有限地降低活性(超过30%的残余发光强度可检测到),尽管它是空腔的关键部分。剩余的GLuc (tGLuc)是如何催化CTZ的?为了解决这个问题,我们通过从完整的GLuc的解析结构中去除c末端重复序列建立了tGLuc的结构模型,并验证了在水中500ns MD模拟中,GLuc中的空腔形成成分保持稳定,并在tGLuc中提供了一个开口腔。对接模拟和随后的伞形采样分析进一步表明,tGLuc上的空腔对CTZ具有高亲和力,结合能高达-114 kJ/mol。R76是一种活性关键氨基酸残基,存在于腔内,与CTZ形成稳定的氢键。然后,我们构建了一个聚类模型,利用密度泛函理论(DFT)计算来研究CTZ在腔中的氧化途径。结果表明,该反应由4个基本反应组成,最高吉布斯能垒为65.4 kJ/mol。最后一个元素反应发生了分子内电子转移和S1/S0势能面收敛,这被认为是报道的化学引发电子交换发光(CIEEL)反应。该通路的几何和波函数分析表明,R76在CTZ氧化过程中起着至关重要的作用,R76首先将环境中的氧分子锚定并诱导其形成单线态双自由基,有利于其对CTZ的攻击。随后,R76和相邻的Q88通过tGLuc重折叠过程定位在R76附近,稳定了过渡态,促进了CIEEL反应开始时CTZ上自由基电子的出现,从而促进了随后的分子内电子转移和激发酰胺产物的产生。本研究为tGLuc的催化机理提供了全面的解释。然而,值得注意的是,这些发现是针对tGLuc的,可能并不适用于其他基于ctz的荧光素酶,特别是那些催化腔中缺乏精氨酸的酶,它们可能通过不同的机制起作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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