Methodology of network pharmacology for research on Chinese herbal medicine against COVID-19: A review
- PMID: 36182651
- PMCID: PMC9508683
- DOI: 10.1016/j.joim.2022.09.004
Methodology of network pharmacology for research on Chinese herbal medicine against COVID-19: A review
Abstract
Traditional Chinese medicine, as a complementary and alternative medicine, has been practiced for thousands of years in China and possesses remarkable clinical efficacy. Thus, systematic analysis and examination of the mechanistic links between Chinese herbal medicine (CHM) and the complex human body can benefit contemporary understandings by carrying out qualitative and quantitative analysis. With increasing attention, the approach of network pharmacology has begun to unveil the mystery of CHM by constructing the heterogeneous network relationship of "herb-compound-target-pathway," which corresponds to the holistic mechanisms of CHM. By integrating computational techniques into network pharmacology, the efficiency and accuracy of active compound screening and target fishing have been improved at an unprecedented pace. This review dissects the core innovations to the network pharmacology approach that were developed in the years since 2015 and highlights how this tool has been applied to understanding the coronavirus disease 2019 and refining the clinical use of CHM to combat it.
Keywords: COVID-19; Chinese traditional medicine; Compound identification; Herbal medicine; Network pharmacology.
Copyright © 2022 Shanghai Changhai Hospital. Published by Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures



References
-
- Zhao J., Yang J., Tian S., Zhang W. A survey of web resources and tools for the study of TCM network pharmacology. Quant Biol. 2019;7(1):17–29.
-
- Babu M.M., Mori H. Computational and systems biology. Mol Biosyst. 2009;5(12):1391. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources