通过湿实验室实验和分子动力学模拟剖析C14羟基在(+)-阿片类TLR4拮抗剂中的作用

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-06-26 DOI:10.1021/acs.jcim.4c00692
Jingwei Gao, Cong Zhang, Hangyu Xu, Tianshu Zhang, Hongshuang Wang, Yibo Wang* and Xiaohui Wang*, 
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引用次数: 0

摘要

Toll 样受体 4 (TLR4) 作为一种先天性免疫受体具有举足轻重的作用,它通过调节神经炎症反应,在介导神经性疼痛和药物成瘾方面发挥着关键作用。非经典(+)-类阿片异构体代表了 TLR4 拮抗剂的一个独特子集,以其有效的血脑屏障渗透性而闻名。尽管人们对这些(+)-阿片类 TLR4 拮抗剂的结构-活性关系越来越感兴趣,但杂原子对其 TLR4 拮抗活性的具体影响尚未得到充分探讨。本研究利用湿实验室实验和硅学模拟研究了六种(+)-阿片类 TLR4 拮抗剂(1-6)中 C14 位羟基的影响。合成了相应的 C14-脱氧衍生物(7-12),与相应的衍生物(1-6)比较后发现,它们的 TLR4 拮抗活性显著降低。分子动力学模拟显示,(+)-阿片类 TLR4 拮抗剂(1-6)与负责配体识别的 TLR4 核心受体 MD2 的结合自由能更负。这主要是由于在结合过程中,拮抗剂(1-6)的 C-14 位羟基与 MD2 的 R90 残基之间形成了氢键。这种相互作用促进了这些分子进入 MD2 的空腔并随后与之结合。与此相反,C14-脱氧衍生物(7-12)由于在 C-14 位置缺少羟基,错过了与 MD2 的 R90 残基的这种关键氢键相互作用,导致它们在模拟过程中从 MD2 空腔中消失。这项研究强调了 C14 羟基在提高(+)-阿片类 TLR4 拮抗剂有效性方面的重要作用,为设计未来的(+)-异构体阿片类 TLR4 拮抗剂提供了深刻的指导。
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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Dissecting the Role of the Hydroxyl Moiety at C14 in (+)-Opioid-Based TLR4 Antagonists via Wet-Lab Experiments and Molecular Dynamics Simulations

Toll-like receptor 4 (TLR4) is pivotal as an innate immune receptor, playing a critical role in mediating neuropathic pain and drug addiction through its regulation of the neuroinflammatory response. The nonclassical (+)-opioid isomers represent a unique subset of TLR4 antagonists known for their effective blood–brain barrier permeability. Despite growing interest in the structure–activity relationship of these (+)-opioid-based TLR4 antagonists, the specific impact of heteroatoms on their TLR4 antagonistic activities has not been fully explored. This study investigated the influence of the hydroxyl group at C14 in six (+)-opioid TLR4 antagonists (16) using wet-lab experiments and in silico simulations. The corresponding C14-deoxy derivatives (712) were synthesized, and upon comparison with their corresponding counterparts (16), it was discovered that their TLR4 antagonistic activities were significantly diminished. Molecular dynamics simulations showed that the (+)-opioid TLR4 antagonists (16) possessed more negative binding free energies to the TLR4 coreceptor MD2, which was responsible for ligand recognition. This was primarily attributed to the formation of a hydrogen bond between the hydroxyl group at the C-14 position of the antagonists (16) and the R90 residue of MD2 during the binding process. Such an interaction facilitated the entry and subsequent binding of these molecules within the MD2 cavity. In contrast, the C14-deoxy derivatives (712), lacking the hydroxyl group at the C-14 position, missed this crucial hydrogen bond interaction with the R90 residue of MD2, leading to their egression from the MD2 cavity during simulations. This study underscores the significant role of the C14 hydroxyl moiety in enhancing the effectiveness of (+)-opioid TLR4 antagonists, which provides insightful guidance for designing future (+)-isomer opioid-derived TLR4 antagonists.

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CiteScore
9.80
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529
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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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