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中华临床医师杂志(电子版) ›› 2026, Vol. 20 ›› Issue (03) : 210 -221. doi: 10.3877/cma.j.issn.1674-0785.2026.03.007

基础研究

基于网络药理学、分子对接及分子动力学探究逍遥丸干预乳腺癌前病变的作用机制
马俊1, 韩卓君1, 王子睿2, 娄彦妮3, 苏菲3,()   
  1. 1 100020 北京,北京中医药大学中日友好临床医学院
    2 710000 西安,西安交通大学临床医学院
    3 100020 北京,北京中日友好医院中西医结合肿瘤内科
  • 收稿日期:2026-02-06 出版日期:2026-03-30
  • 通信作者: 苏菲
  • 基金资助:
    国家自然科学基金青年科学基金资助项目(82505284); 国家自然科学基金青年科学基金资助项目-基于MGO代谢及AMPK/mTOR通路探索逍遥丸干预乳腺癌前病变的机制研究(82505284)

Therapeutic mechanism of Xiaoyao Pill in breast precancerous lesions: a study based on network pharmacology, molecular docking, and molecular dynamics

Jun Ma1, Zhuojun Han1, Zirui Wang2, Yanni Lou3, Fei Su3,()   

  1. 1 China-Japan Friendship Clinical Medical College, Beijing University of Chinese Medicine, Beijing 100020, China
    2 School of Clinical Medicine, Xi'an Jiaotong University, Xi'an 710000, China
    3 Department of Integrated Traditional Chinese and Western Medicine Oncology, China-Japan Friendship Hospital, Beijing 100020, China
  • Received:2026-02-06 Published:2026-03-30
  • Corresponding author: Fei Su
引用本文:

马俊, 韩卓君, 王子睿, 娄彦妮, 苏菲. 基于网络药理学、分子对接及分子动力学探究逍遥丸干预乳腺癌前病变的作用机制[J/OL]. 中华临床医师杂志(电子版), 2026, 20(03): 210-221.

Jun Ma, Zhuojun Han, Zirui Wang, Yanni Lou, Fei Su. Therapeutic mechanism of Xiaoyao Pill in breast precancerous lesions: a study based on network pharmacology, molecular docking, and molecular dynamics[J/OL]. Chinese Journal of Clinicians(Electronic Edition), 2026, 20(03): 210-221.

目的

运用网络药理学、分子对接与分子动力学模拟探讨逍遥丸干预乳腺癌前病变(PBC)的潜在作用机制。

方法

检索逍遥丸活性成分及作用靶点,获取PBC相关靶点并筛选交集靶点,构建PPI网络以明确核心靶点,进一步开展GO和KEGG富集分析;选取关键活性成分与核心靶点进行分子对接,并采用GROMACS软件进行分子动力学模拟验证。

结果

共获得逍遥丸活性成分99种、药物靶点1093个、PBC相关靶点893个及交集靶点265个。GO功能富集分析得到BP条目2524个、CC条目53个、MF条目175个;KEGG富集分析筛选出187条显著通路,主要涉及AMPK信号通路、Estrogen信号通路及肿瘤中心代谢通路等。分子对接结果显示,AKT1、PIK3CA、ESR1、CCND1等核心靶点与β-谷甾醇、芍药苷、槲皮素等关键活性成分具有较强亲和力,分子动力学模拟进一步证实其结合稳定性。

结论

逍遥丸可能通过多成分、多靶点协同调控AKT1等核心靶点,影响AMPK/mTOR、Estrogen及肿瘤代谢相关通路,从而调节癌前细胞异常能量代谢、激素相关信号、细胞周期及免疫微环境,发挥干预PBC进展的潜在作用。本研究从“网络药理学-分子对接-分子动力学模拟”多层次验证角度,阐释了逍遥丸防治乳腺癌前病变的潜在分子机制,为经典方剂用于乳腺癌早期防治提供了新的研究依据。

Objective

To investigate the potential mechanism of Xiaoyao Pill in intervening breast precancerous lesions using network pharmacology, molecular docking, and molecular dynamics simulations.

Methods

Traditional Chinese medicine databases and platforms were used to retrieve the active components and potential targets of Xiaoyao Pill. Overlapping targets between Xiaoyao Pill and breast precancerous lesions were identified. A protein-protein interaction network was constructed, and core targets were screened from the overlapping targets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were then performed. Key active components and core targets were subjected to molecular docking, and molecular dynamics simulations were conducted using GROMACS software to validate the network pharmacology results.

Results

A total of 99 active components of Xiaoyao Pill, 1093 drug targets, 893 disease-related targets, and 265 overlapping targets were obtained. Gene Ontology enrichment analysis identified 2524 biological process terms, 53 cellular component terms, and 175 molecular function terms. Kyoto Encyclopedia of Genes and Genomes enrichment analysis identified 187 significantly enriched signaling pathways, primarily involving the AMPK signaling pathway, estrogen signaling pathway, and central carbon metabolism in cancer. Molecular docking showed that key targets, including AKT1, PIK3CA, ESR1, and CCND1, exhibited strong binding affinities with several core active components of Xiaoyao Pill, such as β-sitosterol, paeoniflorin, and quercetin. Molecular dynamics simulations further confirmed stable binding between the active components of Xiaoyao Pill and these targets.

Conclusion

Xiaoyao Pill may act on multiple signaling pathways, including the AMPK/mTOR and estrogen signaling pathways, by regulating core targets such as AKT1. It may thereby reduce abnormal energy metabolism in precancerous cells, modulate hormone-related signaling, regulate the cell cycle and immune microenvironment, and ultimately exert an interventional effect on breast precancerous lesions. This study provides new research evidence supporting the potential clinical application of this classical Chinese formula in the prevention and treatment of breast cancer.

图1 药物不同数据库间靶点交集
图2 药物和疾病交集靶点的韦恩图
图3 药物-化合物-靶点-疾病网络图
图4 化合物来源及分布图。图a为化合物连接度排序柱状图;图b为TOP化合物药物来源桑基图
图5 逍遥丸治疗PBC的潜在靶点蛋白互作网络 注:PBC为乳腺癌前病变
图6 PPI互作网络图 注:PPI为蛋白质-蛋白质相互作用
图7 核心靶点度值排序柱状图
图8 GO富集分析
图9 KEGG富集分析
图10 TOP靶点TOP通路桑基气泡图。图a为TOP靶点TOP通路桑基图;图b为TOP靶点TOP通路气泡图
图11 AMPK具体通路可视化分析图 注:AMPK为腺苷酸活化蛋白激酶
图12 化合物-靶点-通路-疾病网络图
图13 主要活性成分与核心靶点对接能热图[结合能/(kcal·mol-1)]
图14 主要核心成分与核心靶点分子对接图
图15 复合物体系的RMSD、Rg、RMSF、SASA及自由能分布图。图a为β-谷甾醇与AKT1的RMSD;图b为β-谷甾醇与AKT1的Rg;图c为β-谷甾醇与AKT1的RMSF;图d为β-谷甾醇与AKT1的SASA;图e为槲皮素与STAT3的RMSD;图f为槲皮素与STAT3的Rg;图g为槲皮素与STAT3的RMSF;图h为β-谷甾醇与AKT1的自由能形貌图;图i为槲皮素与STAT3的自由能形貌图 注:RMSD为均方根偏差;Rg为回旋半径;RMSF为均方根波动;SASA为溶剂可及表面积;AKT1为蛋白激酶B1;STAT3为信号转导及转录激活因子3
图16 复合物体系的氢键数量分布图。图a为β-谷甾醇与AKT1复合的氢键分布图;图b为槲皮素与STAT3复合的氢键分布图
图17 蛋白质-配体复合物结合能与蛋白质-配体复合物氨基酸残基能量分解图。图a为β-谷甾醇与AKT1复合的结合能分布图;图b为β-谷甾醇与AKT1复合物残基能力分解图;图c为槲皮素与STAT3复合的结合能分布图;图d为槲皮素与STAT3复合物残基能力分解图
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