ArticleNucleic acids research2024
BATMAN-TCM 2.0: an enhanced integrative database for known and predicted interactions between traditional Chinese medicine ingredients and target proteins.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.
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104 citing papers in PubMed, 156 citations in OpenAlex.
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- Integrated network pharmacology, transcriptomics and experimental validation to explore mechanisms of Wenyang Jiedu Granule on IAV-induced pneumonia.Chinese herbal medicines · 2026Article
- TCMNet: an AI-driven strategy for optimizing traditional Chinese medicine.Chinese medicine · 2026Article
- Hedyotis diffusa and Scutellaria barbata enhance the anti-ovarian cancer effect of cisplatin through network pharmacology analysis and molecular docking technology.Scientific reports · 2026Article
- Structural pharmacology of Chinese medicine: technological breakthroughs in decoding multi-target synergy and precision mechanisms.Advanced biotechnology · 2026Review
- Clinical randomized controlled trial and network pharmacological analysis of blood glucose regulation by Korean red ginseng in patients with type 2 diabetes and impaired glucose regulation.Journal of ginseng research · 2026Article
- Qushi Huoxue ointment ameliorates metabolic associated steatotic liver disease through autophagy activation and ferroptosis inhibition.World journal of hepatology · 2026Article
44 more citing papers are in PubMed but not listed here.
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20 authors at 4 institutions in 1 country.
Funding
Abstract
Traditional Chinese medicine (TCM) is increasingly recognized and utilized worldwide. However, the complex ingredients of TCM and their interactions with the human body make elucidating molecular mechanisms challenging, which greatly hinders the modernization of TCM. In 2016, we developed BATMAN-TCM 1.0, which is an integrated database of TCM ingredient-target protein interaction (TTI) for pharmacology research. Here, to address the growing need for a higher coverage TTI dataset, and using omics data to screen active TCM ingredients or herbs for complex disease treatment, we updated BATMAN-TCM to version 2.0 (http://bionet.ncpsb.org.cn/batman-tcm/). Using the same protocol as version 1.0, we collected 17 068 known TTIs by manual curation (with a 62.3-fold increase), and predicted ∼2.3 million high-confidence TTIs. In addition, we incorporated three new features into the updated version: (i) it enables simultaneous exploration of the target of TCM ingredient for pharmacology research and TCM ingredients binding to target proteins for drug discovery; (ii) it has significantly expanded TTI coverage; and (iii) the website was redesigned for better user experience and higher speed. We believe that BATMAN-TCM 2.0, as a discovery repository, will contribute to the study of TCM molecular mechanisms and the development of new drugs for complex diseases.
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