E3S Web Conf.
Volume 292, 20212021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|Number of page(s)||5|
|Section||Environmental Sustainable Development and Industrial Transformation|
|Published online||09 September 2021|
A network pharmacology approach to explore Dahuang on colon cancer
Hebei North University, 075000, Zhangjiakou, China
* Corresponding author:email@example.com
To investigate the mechanism of action of Rhubarb (Dahuang) in the treatment of colon cancer by network pharmacological method. TCMSP database was used to screen the active components and action targets of Rhubarb, Genecards database was used to screen the relevant action targets of colon cancer, Venny 2.1.0 software was used to make the intersection of Rhubarb and colon cancer, and the potential targets of Rhubarb for the treatment of colon cancer were obtained.Cytoscape 3.7.2 software and the STRING database were used to construct the component-target network of Rhubarb active components and colon cancer related targets. The important targets were obtained by analyzing the network, and the GO and KEGG pathway enrichment analysis was performed on them using Metascape database. Sixty active ingredients including EUPATIN, Mutatochrome, Physciondiglucoside, Procyanidin B-5,3’ -o-gallate, rhin were screened from Rhubarb, which could act on 61 colon cancer related targets.Among them, 13 targets, including PTGS2, IL1B and Bax, are important targets, which may be involved in various biological processes such as the response to the regulation of colon cancer nutritional level, the homeostasis of multicellular organisms and the regulation of peptide secretion through the regulation of PI3K and other pathways. Rhubarb can participate in the treatment of colon cancer through multi-target and multi-pathway.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.