中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (36): 9613-9620.doi: 10.12307/2026.906

• 组织工程相关大数据分析 Big data analysis in tissue engineering • 上一篇    下一篇

分子对接与网络药理学分析砂淋汤调控晶体稳态平衡:活性成分及多靶点机制

苏刚岭1,2,刘春英3,崔杨晴2,周少虎3,刘石勇2,吴治民2   

  1. 1广州中医药大学,广东省广州市  510000;2广州中医药大学第三附属医院,广东省广州市  510000;3广州中医院大学第一附属医院,广东省广州市  510000
  • 收稿日期:2026-01-24 修回日期:2026-03-09 出版日期:2026-12-28 发布日期:2026-05-26
  • 通讯作者: 吴治民,博士,主治医师,广州中医药大学第三附属医院,广东省广州市 510000
  • 作者简介:苏刚岭,男,1983年生,汉族,河南省开封市人,博士研究生,主治医师,主要从事中西医结合防治泌尿外科、男科研究。
  • 基金资助:
    广东省中医药局科研项目(20231159)

Molecular docking and network pharmacology analyses of Shalin Decoction in regulating crystal homeostasis: active components and multi-target mechanisms

Su Gangling1, 2, Liu Chunying3, Cui Yangqing2, Zhou Shaohu3, Liu Shiyong2, Wu Zhimin2   

  1. 1Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong Province, China; 2Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong Province, China; 3First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong Province, China
  • Received:2026-01-24 Revised:2026-03-09 Online:2026-12-28 Published:2026-05-26
  • Contact: Wu Zhimin, PhD, Attending physician, Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong Province, China
  • About author:Su Gangling, PhD candidate, Attending physician, Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong Province, China; Third Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510000, Guangdong Province, China
  • Supported by:
    Scientific Research Project of Guangdong Provincial Administration of Traditional Chinese Medicine, No. 20231159 

摘要:



文题释义:
网络药理学:是一门融合系统生物学、多向药理学、计算生物学和网络分析等多学科知识的新兴学科。网络药理学通过整合高通量数据与生物信息学工具,能够从系统层面构建“药物-成分-靶点-疾病”的多维互作网络,从而全景式地预测中药复方的潜在作用机制。
分子对接:是一种基于计算机模拟的结构生物信息学方法。它通过计算来预测小分子(如药物候选化合物)与生物大分子(通常是蛋白质,即靶点)之间最可能的结合模式和结合强度。分子对接技术作为重要的虚拟验证手段,能够在原子水平模拟活性成分与核心靶点蛋白的结合模式与亲和力,为网络预测提供关键的结构生物学依据。

背景:中药砂淋汤可显著抑制晶体形成。现有研究初步揭示了砂淋汤组方药材的多靶点调节潜力,但其明确的药效背后蕴藏着尚未被清晰揭示的系统性调控网络。
目的:采用网络药理学与分子对接算法,明确砂淋汤的潜在活性成分、作用靶蛋白及其相互作用关系,揭示砂淋汤治疗肾结石的潜在分子机制。
方法:从TCMSP数据库(中药系统药理学数据库与分析平台)中检索砂淋汤的化合物成分,并筛选出潜在的类药分子及相关药物成分。基于GeneCard数据库中与肾结石相关的基因,确定砂淋汤的潜在作用靶点。随后,利用STRING数据库构建蛋白质-蛋白质相互作用网络,并提取核心节点进行基因本体论和京都基因与基因组百科全书KEGG通路富集分析。通过BioGPS数据库分析核心基因在组织器官中的表达分布。此外,采用分子对接技术可视化潜在靶蛋白与对应化合物之间的结合亲和力。
结果与结论:通过TCMSP数据库筛选得到砂淋汤的15个潜在活性药物成分及74个作用靶蛋白。蛋白质-蛋白质相互作用网络分析显示,白细胞介素6(IL6)、半胱天冬酶3(CASP3)、肿瘤坏死因子(TNF)、原癌基因蛋白JUN(JUN)、B细胞淋巴瘤2蛋白(BCL2)、过氧化物酶体增殖物激活受体γ(PPARG)、转化生长因子β1(TGFB1)和原癌基因蛋白FOS(FOS)为度值最高的核心节点。富集分析结果表明,这些靶基因与肾结石相关的基因本体功能条目及京都基因与基因组百科全书KEGG通路存在显著关联。此外,分子对接结果显示,氢键和疏水相互作用是活性成分与靶蛋白实现稳定结合的关键作用方式。
https://orcid.org/0009-0001-4005-9416(苏刚岭)


中国组织工程研究杂志出版内容重点:干细胞;骨髓干细胞;造血干细胞;脂肪干细胞;肿瘤干细胞;胚胎干细胞;脐带脐血干细胞;干细胞诱导;干细胞分化;组织工程

关键词: 砂淋汤, 肾结石, 多靶点机制, 分子对接, 靶蛋白

Abstract: BACKGROUND:  Shalin Decoction, a traditional Chinese medicine formula, has been shown to significantly inhibit crystal formation. Although preliminary studies have revealed the multi-target regulatory potential of its compositions, the systemic regulatory network underlying its therapeutic effects remains to be fully elucidated.  
OBJECTIVE: To identify the potential active components, target proteins, and their interaction networks in Shalin decoction using network pharmacology and molecular docking approaches, and to explore its potential molecular mechanisms in treating kidney stones.  
METHODS: The active compounds of Shalin Decoction were retrieved from the TCMSP database (Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform), and potential drug-like molecules were screened. Candidate targets of Shalin Decoction were identified by intersecting with kidney stone-related genes from the GeneCard database. A protein-protein interaction network was then constructed using the STRING database, and core targets were extracted for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Tissue-specific expression of core genes was analyzed using the BioGPS database. Molecular docking was further employed to visualize the binding affinities between potential targets and their corresponding compounds.  
RESULTS AND CONCLUSION: A total of 15 potential active ingredients and 74 corresponding targets of Shalin Decoction were screened from the TCMSP database. Protein-protein interaction network analysis identified interleukin-6, caspase-3, tumor necrosis factor, proto-oncogene protein JUN, B-cell lymphoma 2, peroxisome proliferator-activated receptor gamma, transforming growth factor beta 1, and proto-oncogene protein FOS as the core targets with the highest degree centrality. Enrichment analysis indicated that these targets were significantly associated with kidney stone-related biological processes and Kyoto Encyclopedia of Genes and Genomes pathways. Molecular docking further confirmed that hydrogen bonding and hydrophobic interactions were key forces mediating the stable binding between active compounds and their target proteins. 

Key words: Shalin Decoction, kidney stones, multi-target mechanism, molecular docking, target protein  

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