[1]梁若飞,张亚兰,向 月,等.基于网络药理学探讨毛兰素抗肿瘤作用机制研究[J].医学信息,2021,34(24):39-44.[doi:10.3969/j.issn.1006-1959.2021.24.008]
　LIANG Ruo-fei,ZHANG Ya-lan,XIANG Yue,et al.Study on Antitumor Mechanism of Erianin Based on Network Pharmacology[J].Medical Information,2021,34(24):39-44.[doi:10.3969/j.issn.1006-1959.2021.24.008]
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基于网络药理学探讨毛兰素抗肿瘤作用机制研究()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年24期
页码:
39-44
栏目:
论著
出版日期:
2021-12-15

文章信息/Info

Title:
Study on Antitumor Mechanism of Erianin Based on Network Pharmacology
文章编号:
1006-1959（2021）24-0039-06
作者:
梁若飞; 张亚兰; 向 月; 等
（川北医学院附属医院神经外科1，病理科2，四川 南充 637002）
Author(s):
LIANG Ruo-fei; ZHANG Ya-lan; XIANG Yue; et al.
(Department of Neurosurgery1,Department of Pathology2,Affiliated Hospital of North Sichuan Medical College,Nanchong 637002,Sichuan,China)
关键词:
网络药理学; 毛兰素; 肿瘤通路
Keywords:
Network pharmacology; Erianin; Tumor pathway
分类号:
R285
DOI:
10.3969/j.issn.1006-1959.2021.24.008
文献标志码:
A
摘要:
目的 基于网络药理学探讨毛兰素抗肿瘤的作用机制。方法 利用HT Docking数据库对毛兰素潜在靶点进行预测，运用Cytoscape软件和GeneMANIA网站对毛兰素潜在靶点进行分析。结果 共得到101种人源潜在靶蛋白。有13条通路与肿瘤相关，包括肿瘤通路、胶质瘤通路、前列腺癌通路、膀胱癌通路、胃癌通路、结直肠癌通路、胰腺癌通路、非小细胞肺癌通路、子宫内膜癌通路、癌症蛋白聚糖通路、癌症中心碳代谢通路、癌症胆碱代谢通路及急性髓性白血病通路。蛋白之间相互作用主要通过基因相关性、共享蛋白域、物理相关性、共定位、预测、蛋白共表达及通路表现出来。蛋白质相互作用网络分析显示，基因相关性占30.45%、预测占26.99%、共享蛋白域占15.69%、物理相关性占11.58%、共定位占5.99%、蛋白共表达占5.14%、通路占4.15%。结论 毛兰素通过AKT1、CDK6、AR、BRAF、CSF1R、DAPK1等靶点发挥抗肿瘤效应，这些靶点参与13条肿瘤相关通路，可为后续抗肿瘤实验研究提供理论参考和指导方向。
Abstract:
Objective To investigate the antitumor mechanism of erianin based on network pharmacology.Methods HT Docking database was used to predict the potential targets of erianin. Cytoscape software and GeneMANIA website were used to analyze the potential targets of erianin.Results A total of 101 potential human target proteins were obtained. There were 13 pathways related to cancer, including tumor pathway, glioma pathway, prostate cancer pathway, bladder cancer pathway, gastric cancer pathway, colorectal cancer pathway, pancreatic cancer pathway, non-small cell lung cancer pathway, endometrial cancer pathway, cancer proteoglycan pathway, cancer center carbon metabolism pathway, cancer choline metabolism pathway and acute myeloid leukemia pathway. Protein-protein interaction was mainly manifested by gene correlation, shared protein domain, physical correlation, co-localization, prediction, protein co-expression and pathway. Protein interaction network analysis showed that genetic interactions accounted for 30.45%, prediction accounted for 26.99%, shared protein domains accounted for 15.69%, physical interactions accounted for 11.58%, co-localization accounted for 5.99%, protein co-expression accounted for 5.14%, and pathway accounted for 4.15%.Conclusion Erianin plays an anti-tumor effect through AKT1, CDK6, AR, BRAF, CSF1R, DAPK1 and other targets. These targets are involved in 13 tumor-related pathways, which can provide theoretical reference and guidance for subsequent anti-tumor experimental studies.

参考文献/References:

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更新日期/Last Update: 1900-01-01