PET-水解酶复合物的结构和能量:分子动力学模拟的系统比较。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Alessandro Berselli, Maria Cristina Menziani, Francesco Muniz-Miranda
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引用次数: 0

摘要

2016年发现的由Ideonella Sakaiensis 201-F6细菌分泌的PET酶在室温下对聚对苯二甲酸乙二醇酯(PET)具有极佳的水解活性,但由于热稳定性较低,其活性在较高温度下会降低。为了克服这一阻碍工业应用的局限性,人们设计了许多变体。在这项工作中,我们利用标准分子动力学(MD)模拟和解结合自由能计算,系统地比较了 PET 酶野生型(WT)和四种突变体(DuraPETase、ThermoPETase、FastPETase 和 HotPETase)。我们特别分析了酶的结构特征以及在两种温度条件下与四聚 PET 链(PET4)的结合情况:我们的结果表明:(i) PET4 在室温(∼300 K)下与五种酶形成稳定的复合物;(ii) 大部分相互作用位于靠近蛋白质活性位点的位置,其中 W185 和 Y87 残基与底物的芳香环相互作用。具体地说,(iii) W185 侧链在每个变体中探索不同的构象(文献中称之为 "W185 晃动 "现象)。这表明结合口袋在不同变体中保持了结构可塑性和灵活性,有利于在适度温度下识别底物和定位。此外,(iv) PET4 与催化残基 H237 建立了芳香族相互作用,稳定了由残基 S160-H237-D206 组成的催化三元组,帮助系统实现水解反应的有效构型。相反,(v) 在较高温度(350 K)下,结合亲和力下降,只有 HotPETase 保留了中等程度的相互作用。最后,(vi) 与聚(乙烯-2,5-呋喃二甲酸酯)(PEF)形成的复合物的 MD 模拟显示没有持续的相互作用,这表明这些酶尚未对结合这种替代性半芳香塑料聚合物进行优化。我们的研究为了解这些酶的结构稳定性以及促使 PET 与其表面结合的分子决定因素提供了宝贵的见解,揭示了水解开始前的机理步骤,并为未来的酶优化奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Structure and Energetics of PET-Hydrolyzing Enzyme Complexes: A Systematic Comparison from Molecular Dynamics Simulations.

Structure and Energetics of PET-Hydrolyzing Enzyme Complexes: A Systematic Comparison from Molecular Dynamics Simulations.

Discovered in 2016, the enzyme PETase, secreted by bacterial Ideonella Sakaiensis 201-F6, has an excellent hydrolytic activity toward poly(ethylene terephthalate) (PET) at room temperature, while it decreases at higher temperatures due to the low thermostability. Many variants have been engineered to overcome this limitation, which hinders industrial application. In this work, we systematically compare PETase wild-type (WT) and four mutants (DuraPETase, ThermoPETase, FastPETase, and HotPETase) using standard molecular dynamics (MD) simulations and unbinding free energy calculations. In particular, we analyze the enzymes' structural characteristics and binding to a tetrameric PET chain (PET4) under two temperature conditions: T1─300 K and T2─350 K. Our results indicate that (i) PET4 forms stable complexes with the five enzymes at room temperature (∼300 K) and (ii) most of the interactions are localized close to the active site of the protein, where the W185 and Y87 residues interact with the aromatic rings of the substrate. Specifically, (iii) the W185 side-chain explores different conformations in each variant (a phenomenon known in the literature as "W185 wobbling"). This suggests that the binding pocket retains structural plasticity and flexibility among the variants, facilitating substrate recognition and localization events at moderate temperatures. Moreover, (iv) PET4 establishes aromatic interactions with the catalytic H237 residue, stabilizing the catalytic triad composed of residues S160-H237-D206, and helping the system achieve an effective configuration for the hydrolysis reaction. Conversely, (v) the binding affinity decreases at a higher temperature (∼350 K), retaining moderate interactions only for HotPETase. Finally, (vi) MD simulations of complexes formed with poly(ethylene-2,5-furan dicarboxylate) (PEF) show no persistent interactions, suggesting that these enzymes are not yet optimized for binding this alternative semiaromatic plastic polymer. Our study offers valuable insights into the structural stability of these enzymes and the molecular determinants driving PET binding onto their surfaces, sheds light on the mechanistic steps that precede the onset of hydrolysis, and provides a foundation for future enzyme optimization.

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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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