通过人工智能驱动的新一代筛选发现靶向 TLR4-TLR4* 同源二聚体的吡唑并[1,5-a]嘧啶衍生物

IF 6 2区 医学 Q1 CHEMISTRY, MEDICINAL
Yao-Yao Jiang, Shuai-Ting Yan, Shan-Zhuo Zhang, Meng Wang, Wei-Ming Diao, Jun Li, Xiao-Min Fang, Hang Yin
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引用次数: 0

摘要

TLR4 信号在协调先天性免疫的多个方面起着重要作用。开发针对 TLR4 通路的小分子抑制剂有望治疗 TLR4 相关疾病。在本文中,我们采用了一种人工智能(AI)驱动的下一代筛选方法,利用 HelixVS 和 HelixDock 将重点放在 TLR4-TLR4*(TLR4 的第二个拷贝)的同源二聚化表面,从而鉴定出了一种有效的吡唑并[1,5-a]嘧啶衍生物,即化合物 1。通过广泛的结构-活性关系(SAR)探索,最终发现了先导化合物 TH023,它能有效阻断 LPS 刺激的 NF-κB 激活和一氧化氮在 HEK-Blue hTLR4 和 RAW264.7 细胞中的过量产生,IC50 值分别为 0.354 和 1.61 μM。分子动力学(MD)模拟表明,TH023 能稳定 TLR4-MD-2,并破坏其与 TLR4* 的结合。此外,TH023 还能减轻 LPS 诱导的败血症小鼠的肺损伤并降低促炎细胞因子水平。这些发现不仅阐明了HelixDock在推动人工智能驱动的药物发现前沿方面的战略优势,还为基于吡唑并[1,5-a]嘧啶支架合理设计TLR4-TLR4*蛋白-蛋白相互作用(PPI)抑制剂提供了宝贵的结构见解。总之,这项研究验证了通过靶向 TLR4 的二聚化来调控 TLR4 信号的新策略,从而强调了 TH023 在治疗 TLR4 介导的炎症性疾病方面的治疗前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Discovery of Pyrazolo[1,5-a]pyrimidine Derivatives Targeting TLR4−TLR4* Homodimerization via AI-Powered Next-Generation Screening

Discovery of Pyrazolo[1,5-a]pyrimidine Derivatives Targeting TLR4−TLR4* Homodimerization via AI-Powered Next-Generation Screening
TLR4 signaling is instrumental in orchestrating multiple aspects of innate immunity. Developing small molecule inhibitors targeting the TLR4 pathway holds potential therapeutic promise for TLR4-related disorders. Herein, an artificial intelligence (AI)-powered next-generation screening approach, employing HelixVS and HelixDock, was utilized to focus on the TLR4−TLR4* (a second copy of TLR4) homodimerization surface, leading to the identification of a potent pyrazolo[1,5-a]pyrimidine derivative, designated as compound 1. An extensive structure−activity relationship (SAR) exploration culminated in the discovery of the lead compound TH023, which effectively blocked the LPS-stimulated NF-κB activation and nitric oxide overproduction in HEK-Blue hTLR4 and RAW264.7 cells, with IC50 values of 0.354 and 1.61 μM, respectively. Molecular dynamic (MD) simulations indicated that TH023 stabilized TLR4−MD-2 and disrupted its association with TLR4*. Moreover, TH023 alleviated the lung injury and decreased pro-inflammatory cytokine levels in LPS-induced septic mice. These findings not only illuminated the strategic advantage of HelixDock in advancing the frontiers of AI-driven drug discovery, but also provided valuable structural insights for the rational design of TLR4−TLR4* protein−protein interaction (PPI) inhibitors based on the pyrazolo[1,5-a]pyrimidine scaffold. Overall, this study validated a new strategy for TLR4 signaling regulation by targeting its dimerization, thereby underscoring the therapeutic promise of TH023 in treating TLR4-mediated inflammatory diseases.
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来源期刊
CiteScore
11.70
自引率
9.00%
发文量
863
审稿时长
29 days
期刊介绍: The European Journal of Medicinal Chemistry is a global journal that publishes studies on all aspects of medicinal chemistry. It provides a medium for publication of original papers and also welcomes critical review papers. A typical paper would report on the organic synthesis, characterization and pharmacological evaluation of compounds. Other topics of interest are drug design, QSAR, molecular modeling, drug-receptor interactions, molecular aspects of drug metabolism, prodrug synthesis and drug targeting. The journal expects manuscripts to present the rational for a study, provide insight into the design of compounds or understanding of mechanism, or clarify the targets.
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