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The Use of Traditional Chinese Medicine in Relieving EGFR-TKI-Associated Diarrhea Based on Network Pharmacology and Data Mining

机译:中医用途在基于网络药理学和数据挖掘的基于网络药理学和数据挖掘的Egfr-Tki相关腹泻

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In this study, the role of traditional Chinese medicine (TCM) in relieving epidermal growth factor receptor-tyrosine kinase inhibitor- (EGFR-TKI-) associated diarrhea was discussed by network pharmacology and data mining. Prediction of drug targets by introducing the EGFR-TKI molecular structures into the SwissTargetPrediction platform and diarrhea-related targets in the DrugBank, GeneCards, DisGeNET, and OMIM databases were obtained. Compounds in the drug-disease target intersection were screened by absorption, distribution, metabolism, and excretion parameters and Lipinski’s rule in Traditional Chinese Medicine Systems Pharmacology. TCM-containing compounds were selected, and information on the property, taste, and meridian tropism of these TCMs was summarized and analyzed. A target-compound-TCM network diagram was constructed, and core targets, compounds, and TCMs were selected. The core targets and components were docked by AutoDock Vina (Version 1.1.2) to explore the target combinations of related compounds and evaluate the docking activity of related targets and compounds. Twenty-three potential therapeutic TCM targets for the treatment of EGFR-TKI-related diarrhea were obtained. There were 339 compounds acting on potential therapeutic targets, involving a total of 402 TCMs. The results of molecular docking showed good binding between the core targets and compounds, and the binding between the core targets and compounds was similar to that of the core target and the recommended drug loperamide. TCMs have multitarget characteristics and are present in a variety of compounds used for relieving EGFR-TKI-associated diarrhea. Antitumor activity and the efficacy of alleviating diarrhea are the pharmacological basis of combining TCMs with EGFR-TKI in the treatment of non-small-cell lung cancer. The core targets, compounds, and TCMs can provide data to support experimental and clinical studies on the relief of EGFR-TKI-associated diarrhea in the future.
机译:在这项研究中,中国传统医药在缓解表皮生长因子受体酪氨酸激酶抑制剂 - (EGFR-TKI-)作用(TCM)相关性腹泻是由网络药理学和数据挖掘的讨论。通过引入EGFR-TKI的分子结构进SwissTargetPrediction平台和腹泻相关的目标在DrugBank的药物靶标预测,获得GeneCards,DisGeNET,和OMIM数据库。通过吸收,分布,新陈代谢和排泄参数和脂素在中医系统药理中的统治,筛选毒性毒性靶交叉中的化合物。选择了含TCM的化合物,总结和分析了关于这些TCMS的性质,味道和经络的信息。构建靶复合TCM网络图,选择核心靶,化合物和TCMS。核心目标和组件由Autodock Vina(1.1.2版)对接,以探讨相关化合物的目标组合,评价相关靶标和化合物的对接活动。获得了24个潜在的治疗性TCM用于治疗EGFR-TKI相关的腹泻的靶标。有339种含有潜在治疗靶标的化合物,涉及共402中的TCMS。分子对接的结果显示核心靶标和化合物之间的良好结合,核心靶和化合物之间的结合与核心靶标和推荐的药物洛哌酰胺相似。 TCMS具有多元特性,并且存在于用于缓解EGFR-TKI相关腹泻的各种化合物中。减轻腹泻的抗肿瘤活性和减轻腹泻的功效是将TCM与EGFR-TKI合并治疗非小细胞肺癌的药理基础。核心靶标,化合物和TCMS可以提供​​数据,以支持未来EGFR-TKI相关腹泻的缓解实验和临床研究。

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