红霉素酯酶C对红霉素水解的催化作用:CpHMD联合QM/MM元动力学研究。

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Abhishek Bera,  and , Niladri Patra*, 
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引用次数: 0

摘要

大环内酯酶是存在于耐药菌体内的优势药物失活酶,对大环内酯类抗生素领域构成了重大威胁。他们通过水解酯部分来分解抗生素的大内酯环结构,从而降低了治疗细菌感染的抗菌效果。受大环内酯酶重要成员“红霉素酯酶C (EreC)”的晶体结构的启发,我们利用QM/MM方法深入研究了红霉素水解的催化路线。据我们所知,这项研究工作构成了两个重要方面的第一个研究- EreC的构象依赖于局部pH环境和红霉素水解的复杂机制细节。我们已经通过严格的恒定pH分子动力学(CpHMD)模拟证明了Glu78和Glu300在调节EreCopen/close构象开关中的关键作用。本研究还表明,催化室内部偶极微环境发生了微妙的变化,导致His50的pKa值显著降低。因此,它可以作为一个假定的通用碱,从催化水中提取一个质子,参与向大内酯红霉素的酯羰基中心的亲核加成,证实了先前结构研究假设的“Glu47-His50对(catalytic Dyad)”的最重要催化作用。采用QM/MM元动力学,我们描绘了水解过程的完整自由能景观,它通过两个连续的步骤展开。此外,本研究还发现了Glu78的去质子状态以及Arg261和His289的构象锁定,这对于红霉素的无缝水解是绝对必要的。总的来说,这项工作推进了对金属非依赖性水解酶EreC的机制理解,突出了大环内酯降解中ph敏感的构象切换和活性位点残基的微妙协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Catalytic Perspective on Erythromycin Hydrolysis by Erythromycin Esterase C: Combined CpHMD and QM/MM Metadynamics Study

A Catalytic Perspective on Erythromycin Hydrolysis by Erythromycin Esterase C: Combined CpHMD and QM/MM Metadynamics Study

Macrolide esterases, which are preponderant drug-inactivating enzymes present inside drug-resistant bacteria, pose a significant threat to the realm of macrolide antibiotics. They dissect the antibiotic’s macrolactone ring structure by hydrolyzing the ester moiety, consequently diminishing the antimicrobial efficacy in treating bacterial infections. Motivated by the recently resolved crystallographic structure of an important member of the macrolide esterase – ‘Erythromycin Esterase C (EreC)’ – we have delved into the catalytic itineraries of the erythromycin hydrolysis utilizing QM/MM methods. To the best of our knowledge, this research work constitutes the first study accounting for two important aspects – EreC’s conformational reliance on the local pH environment and intricate mechanistic details about erythromycin hydrolysis. We have demonstrated the pivotal role of Glu78 and Glu300 in modulating EreCopen/close conformational switching through rigorous constant pH molecular dynamics (CpHMD) simulations. This study also proclaims the subtle shift of the internal dipolar microenvironment inside the catalytic room, inducing a notable reduction in the pKa value of His50. Thus, it can act as a putative general base which extracts a proton from the catalytic water that participates in nucleophilic addition toward the ester carbonyl center of the macrolactone erythromycin, confirming the foremost catalytic role of ‘Glu47-His50 pair (Catalytic Dyad)’ postulated by previous structural studies. Employing QM/MM metadynamics, we have delineated the complete free energy landscape of the hydrolysis process, which unfolds through two successive steps. Moreover, the current study also spotlights the deprotonated state of Glu78 and conformational locking of Arg261 and His289, which is absolutely necessary for seamless hydrolysis of the erythromycin. Collectively, this work advances the mechanistic understanding of the metal-independent hydrolase EreC, highlighting pH-sensitive conformational switching and the nuanced orchestration of active-site residues in macrolide degradation.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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