汤剂
小桶
肺癌
药理学
传统医学
医学
化学
生物化学
肿瘤科
基因本体论
基因表达
基因
作者
Tao Jiang,Lu Yang,Won‐Kyung Yang,Jinhong Xu,Mingxing Zhu,Yong Huang,Fang Bao,Shengqi Zheng,Yongxia Li
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science]
日期:2024-10-01
卷期号:20 (5): 590-597
标识
DOI:10.2174/1573409920666230823161355
摘要
Objective: To explore the mechanism of Maiwei Dihuang decoction in the treatment of non-small cell lung cancer (NSCLC) by using network pharmacology and LC-MS technology. Methods: The effective components in Maiwei Dihuang decoction were detected by liquid chromatography- mass spectrometry (LC-MS). Use the SuperPred database to collect the relevant targets of the active ingredients of Mai Wei Di Tang, and then collect the relevant targets of nonsmall cell lung cancer from GeneCards, DisgenNET and OMIM databases. On this basis, PPI network construction, GO enrichment analysis and KEGG pathway annotation analysis were carried out for target sites. Finally, AutoDock Vina is used for molecular docking. Results: We further screened 16 effective Chinese herbal compounds through LC-MS combined with ADME level. On this basis, we obtained 77 core targets through protein interaction network analysis. Through GO, KEGG analysis and molecular docking results, we finally screened out the potential targets of Maiwei Dihuang Decoction for NSCLC: TP53, STAT3, MAPK3. Conclusion: Maiwei Dihuang decoction may play a role in the treatment of NSCLC by coregulating TP53/STAT3/MAPK3 signal pathway.
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