Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Nov 14;9:943681. doi: 10.3389/fmed.2022.943681

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2022 Wang, Guo, Wang, Zhao, Liu, Zhang, Xiong, Chen, Lin, Li, He, Tan, Cao, Yi, Deng and Lu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

(A) 42 related intersections of drug (CSTRG) targets and influenza-related targets. (B) Protein-protein interaction (PPI) networks of CSTRG components with anti-influenza activity. The nodes represent related genes, and the strength of the data is supported when the circle is larger and the color is darker. (C) The functional enrichment analysis of CSTRG anti-influenza therapeutic targets was among the top 10 terms with the most significant enrichment in KEGG. (D) The five most significantly enriched BP, CC, and MF terms. (E) CSTRG component-target-disease network. The network was constructed to reveal interactions between active compounds and potential targets of CSTRG. Red triangular nodes represent the disease, cyan triangular nodes represent genes, blue round nodes represent Chinese medicines, and purple circular nodes represent active ingredients. The size of each target is positively related to its degree in the network.