Mechanism of Shao Kuiling Decoction in Treating Ulcerative Colitis: A Network Pharmacology and Molecular Docking Study

化学 机制(生物学) 分子动力学 对接(动物) 溃疡性结肠炎 药理学 作用机理 计算生物学 汤剂 血浆蛋白结合 生物 基因 蛋白质-蛋白质相互作用 MAPK/ERK通路 结构-活动关系 结合位点 信号转导 炎症 生物化学 同源建模 分子模型
作者
Xiaoyun Wu,Zhiguang He,Weitao Ren,Bin Zhao,Yuheng Tseng
出处
期刊:Current Computer - Aided Drug Design [Bentham Science Publishers]
卷期号:22
标识
DOI:10.2174/0115734099474992260810095531
摘要

Objective: Shao Kuiling Decoction (SKD) is used in the long-term management of Ulcerative Colitis (UC), but its molecular basis remains unclear. Because SKD is a multicomponent formula, a computational approach is useful for identifying candidate compounds, targets, and pathways for further validation. Methods: Active compounds in SKD were screened from TCMSP using oral bioavailability and drug-likeness criteria. Putative targets were predicted and intersected with UC-related targets. Shared targets were analyzed by protein-protein interaction network construction, GO/KEGG enrichment, molecular docking, and 100 ns molecular dynamics simulations. Results: A total of 145 active compounds and 94 shared SKD-UC targets were identified. AKT1, TNF, and TP53 were the main hub targets, and the PI3K-Akt and MAPK pathways were the most enriched. Molecular docking showed favorable binding of the major compounds to core targets, with kaempferol‑TNF showing the strongest binding energy of -8.9 kcal/mol and β‑sitosterol‑AKT1 showing -8.4 kcal/mol. Molecular dynamics simulations revealed that the kaempferol‑TNF and β‑sitosterol‑AKT1 complexes remained stable over 100 ns, with RMSD values plateauing at 0.20-0.25 nm and 0.15-0.20 nm, respectively, and maintained consistent hydrogen bonding. In contrast, the acacetin‑TP53 complex showed greater fluctuations, indicating weaker stability. Discussion: These findings suggest that SKD may exert therapeutic effects in UC through coordinated modulation of multiple targets and pathways involved in inflammation and epithelial repair. In a broader context, this study provides a systems-level basis for understanding the potential mechanism of SKD in UC and offers focused directions for future experimental validation. Conclusion: SKD may exert anti-UC effects through a multi-component, multi-target mechanism involving AKT1/TNF/TP53-associated networks and PI3K-Akt/MAPK signaling.

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