Dear Colleagues,

Traditional Chinese Medicine (TCM) is extensively utilized in clinical practice due to its role in preventing and treating various diseases. However, TCM research is primarily experience-based and experiment-based methods, in which the small molecules of TCM and the specific targets for the treatment of diseases have not been thoroughly investigated, which impedes the modernization of TCM. Luckily, with the development of high-throughput sequencing in recent years, bioinformatics approaches have been an important part of the research system of TCM. Numerous studies have explored the therapeutic mechanism of TCM active ingredient by omics approaches, shifting TCM research from the “one-target, one-drug” to “multi-components” targets. Moreover, The concept of network pharmacology analysis is proposed to ascertain which bioactive compounds and targets are effective in treating various diseases. Based on this understanding, it is particularly significant to construct the “active ingredient-protein/gene-disease” network and clarify the regulatory mechanism of small molecules through bioinformatics and network pharmacology analysis.

Therefore, we are interested in the application of bioinformatics and network pharmacology in basic scientific research in TCM, so that the internationalization and modernization of TCM formulas can be accelerated. It is expected to promote the theoretical research of TCM, provide new treatment methods for various diseases, and improve the prognosis of patients.

For this, it is important to collect new theories, methods and application results in the analysis of TCM using bioinformatics and network pharmacology analysis. Research articles and reviews in this area of study are welcome.