| 摘要: |
| [目的] 预测锦灯笼中抗炎活性成分发挥作用的分子作用机制。[方法] 采用反向分子对接方法，将筛选的锦灯笼的活性成分与药物信息数据库Therapeutic Target Database和DrugBank检索的抗炎作用靶点进行对比分析，归纳总结出锦灯笼活性成分抗炎作用的潜在靶点，并通过MAS3.0对潜在靶点信息进行基因注释，利用Cytoscape3.4.0软件构建锦灯笼活性成分-靶点-通路-疾病网络并分析。[结果] 锦灯笼54个活性成分作用于12个炎症靶点，涉及参与信号转导、蛋白水解和炎症反应等16条相关生物过程的代谢通路。[结论] 网络药理学的研究方法预测锦灯笼活性成分，从分子水平解释了锦灯笼抗炎的作用机制，并为了中药多成分、多靶点、多通路的药效机制提供了科学依据。 |
| 关键词: 锦灯笼 网络药理学 抗炎 靶点 |
| DOI：10.11656/j.issn.1673-9043.2018.05.13 |
| 分类号:R285.6 |
| 基金项目: |
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| Study on the action targets for anti-inflammatory bioactive components of Physalis alkekengi L. var.franchetii (Mast.) Makino based on network pharmacology |
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YANG Lijun, WANG Dandan, WU Hongjie, CHEN Dazhong
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Research Institute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin 150040, China
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| Abstract: |
| [Objective] To predict the molecular mechanism of anti-inflammatory effect of active ingredients in Physalis alkekengi L. var.franchetii (Mast.) Makino (PAFM).[Methods] The reverse molecular docking method was used to compare the active ingredients of the selected PAFM with the anti-inflammatory targets searched by Therapeutic Target Database and DrugBank. The potential targets of the anti-inflammatory effect of the active components were summarized by MAS.3.0 annotation analysis. Cytoscape3.4.0 software was used to construct the active ingredient-target-pathway-disease network and analyzed.[Results] Fifty-four active components act on twelve inflammatory targets and 16 metabolic pathways related to biological processes involving in signal transduction, protein hydrolysis and inflammatory response.[Conclusion] The method of network pharmacology is used to predict the active components of PAFM. The mechanism of the anti-inflammatory effect is explained from the molecular level, which provides the scientific basis for the mechanism of the multi-components, multi-targets and multi-pathways. |
| Key words: PAFM network pharmacology anti-inflammatory target |
