TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining
- DOI
- 10.1039/d3sc02139d
- Published
- 2023
- Container
- Chemical Science
- Publisher
- Royal Society of Chemistry (RSC)
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1039/d3sc02139d,
title = {TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining},
author = {Qiujie Lv and Guanxing Chen and Haohuai He and Ziduo Yang and Lu Zhao and Hsin-Yi Chen and Calvin Yu-Chian Chen},
year = {2023},
journal = {Chemical Science},
doi = {10.1039/d3sc02139d},
url = {https://doi.org/10.1039/d3sc02139d}
}RIS
TY - JOUR TI - TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining AU - Qiujie Lv AU - Guanxing Chen AU - Haohuai He AU - Ziduo Yang AU - Lu Zhao AU - Hsin-Yi Chen AU - Calvin Yu-Chian Chen PY - 2023 JO - Chemical Science DO - 10.1039/d3sc02139d UR - https://doi.org/10.1039/d3sc02139d ER -
APA
Lv, Q., Chen, G., He, H., Yang, Z., Zhao, L., Chen, H., & Chen, C. Y. (2023). TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining. Chemical Science. https://doi.org/10.1039/d3sc02139d
Source records
- crossref · retrieved 2026-11-10T20:12:34.952Z