|
| Study on the action targets for anti-inflammatory bioactive components of Physalis alkekengi L. var.franchetii (Mast.) Makino based on network pharmacology |
| Hits 1614 Download times 1042 Received:May 03, 2018 |
| View Full Text View/Add Comment Download reader |
| DOI
10.11656/j.issn.1673-9043.2018.05.13 |
| Key Words
PAFM;network pharmacology;anti-inflammatory;target |
| Author Name | Affiliation | E-mail | | YANG Lijun | Research Institute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin 150040, China | | | WANG Dandan | Research Institute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin 150040, China | | | WU Hongjie | Research Institute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin 150040, China | | | CHEN Dazhong | Research Institute of Traditional Chinese Medicine, Heilongjiang University of Chinese Medicine, Harbin 150040, China | cdz89@163.com |
|
| 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. |
|
|
|
|
|
