---
license: cc-by-nc-4.0
license_link: https://creativecommons.org/licenses/by-nc/4.0/
pretty_name: batman
size_categories:
- 100K<n<1M
configs:
- config_name: batman_ingredients
  data_files: data/batman_ingredients.csv
  sep: "\t"
- config_name: batman_herbs
  data_files: data/batman_herbs.csv
  sep: "\t"
- config_name: batman_formulas
  data_files: data/batman_formulas.csv
  sep: "\t"
task_categories:
- zero-shot-classification
language:
- en
- cn
tags:
- biology
- life sciences
- chemistry
- medical
---

## What is the purpose of this dataset?
This dataset is a reformatted replica of [BATMAN-2.0](http://bionet.ncpsb.org.cn/batman-tcm/#/home), a database of traditional Chinese medicine (TCM) ingredients, herbs, and formulas.
Refer to the original peer-reviewed [publication](https://doi.org/10.1093/nar/gkad926) for more detail.


## Citation
@article{10.1093/nar/gkad926,
    author = {Kong, Xiangren and Liu, Chao and Zhang, Zuzhen and Cheng, Meiqi and Mei, Zhijun and Li, Xiangdong and Liu, Peng and Diao, Lihong and Ma, Yajie and Jiang, Peng and Kong, Xiangya and Nie, Shiyan and Guo, Yingzi and Wang, Ze and Zhang, Xinlei and Wang, Yan and Tang, Liujun and Guo, Shuzhen and Liu, Zhongyang and Li, Dong},
    title = "{BATMAN-TCM 2.0: an enhanced integrative database for known and predicted interactions between traditional Chinese medicine ingredients and target proteins}",
    journal = {Nucleic Acids Research},
    volume = {52},
    number = {D1},
    pages = {D1110-D1120},
    year = {2023},
    month = {10},
    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.}",
    issn = {0305-1048},
    doi = {10.1093/nar/gkad926},
    url = {https://doi.org/10.1093/nar/gkad926},
    eprint = {https://academic.oup.com/nar/article-pdf/52/D1/D1110/55040286/gkad926.pdf},
}