In silico analysis of Triphala-derived polyphenols as inhibitors of TIR-TIR homodimerization in the inflammatory pathway.

IF 3.9 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2025-05-29 eCollection Date: 2025-01-01 DOI:10.3389/fbinf.2025.1565700
Durgadevi Rajendran, Nalini Easwaran
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引用次数: 0

Abstract

Downstream signaling of the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway is mediated by the adaptor protein myeloid differentiation primary response gene 88 (MyD88). The TIR domain present in MyD88 plays a pivotal role in regulating the expression of pro-inflammatory cytokines. Although synthetic drugs, including M20 and TJ-M2010-5, have been studied to mitigate the overexpression of MyD88, their prolonged usage is known to cause adverse side effects, highlighting the need for a safer, risk-free alternative. An Ayurvedic formulation named Triphala, which is rich in polyphenols and traditionally used to treat various ailments, was selected for this investigation. Although polyphenols are gaining attention as anti-inflammatory agents, their precise mode of action remains insufficiently understood. Previous studies have explored the anti-inflammatory properties of Triphala in a broad spectrum, but this study notably focuses on the interactions of Triphala-derived polyphenols with the TIR domain of the MyD88 adaptor protein in the NF-κB signaling pathway. This study employs computational docking and a molecular dynamics (MD) simulation to study the interaction and stability of the polyphenols with the target protein. The polyphenols were virtually docked to the TIR domain of MyD88 using AutoDock tools 1.5.7. Among them, the top three protein-polyphenol complexes with the highest binding affinities were selected and subjected to MD simulation for 200 ns to evaluate their interaction properties in detail. The findings of the MD simulation corroborated the docking results, showing that two complexes (protein-punicalagin and protein-chebulagic acid) demonstrated better interaction patterns. The MD trajectory revealed that polyphenol binding enhanced the stability of the target protein, as indicated by lower root-mean-square deviation (RMSD) (∼0.25 nm), solvent accessible surface area (SASA) (∼96.848-100.666 nm2), and stabilized radius of gyration (Rg) (∼1.50-1.53 nm) values for punicalagin and chebulagic acid complexes compared to the reference complex. Our findings have supported the hypothesis that Triphala polyphenols may interact with the TIR domain of MyD88, thereby inhibiting the production of inflammatory cytokines. This study provides a combination of computational validation of specific molecular targets and mechanistic insights into the anti-inflammatory potential of Triphala-derived polyphenols.

在炎症途径中,三联衍生物多酚作为TIR-TIR同二聚化抑制剂的硅分析。
活化B细胞核因子kappa轻链增强子(NF-κB)通路的下游信号是由适配蛋白髓系分化初级反应基因88 (MyD88)介导的。MyD88中存在的TIR结构域在调节促炎细胞因子的表达中起着关键作用。尽管包括M20和TJ-M2010-5在内的合成药物已被研究用于减轻MyD88的过表达,但已知它们的长期使用会导致不良副作用,这突出了对更安全、无风险替代品的需求。一种名为Triphala的阿育吠陀配方,富含多酚,传统上用于治疗各种疾病,被选中进行这项研究。尽管多酚作为抗炎剂越来越受到关注,但其确切的作用方式仍未得到充分的了解。以前的研究已经在广谱范围内探索了Triphala的抗炎特性,但本研究主要关注Triphala衍生的多酚与NF-κB信号通路中MyD88接头蛋白的TIR结构域的相互作用。本研究采用计算对接和分子动力学(MD)模拟来研究多酚与靶蛋白的相互作用和稳定性。使用AutoDock工具1.5.7将多酚虚拟地停靠到MyD88的TIR结构域。选取结合亲和度最高的前3个蛋白-多酚复合物,进行200 ns的MD模拟,详细评价其相互作用特性。MD模拟的结果证实了对接结果,表明两个配合物(蛋白-punicalagin和蛋白-chebulagic acid)表现出更好的相互作用模式。MD轨迹显示,多酚结合增强了目标蛋白的稳定性,与参比配合物相比,punicalagin和chebulagic酸配合物的均方根偏差(RMSD) (~ 0.25 nm)更低,溶剂可及表面积(SASA) (~ 96.848 ~ 100.666 nm2),稳定的旋转半径(Rg) (~ 1.50 ~ 1.53 nm)值。我们的研究结果支持了Triphala多酚可能与MyD88的TIR结构域相互作用,从而抑制炎症细胞因子的产生的假设。这项研究提供了特定分子靶点的计算验证和对triphala衍生的多酚抗炎潜力的机制见解的结合。
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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CiteScore
2.60
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