TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining

Author:

Lv Qiujie1ORCID,Chen Guanxing1ORCID,He Haohuai1ORCID,Yang Ziduo1ORCID,Zhao Lu23ORCID,Chen Hsin-Yi1ORCID,Chen Calvin Yu-Chian1456ORCID

Affiliation:

1. Artificial Intelligence Medical Research Center, School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong 518107, P. R. China

2. Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, P. R. China

3. Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, P. R. China

4. Department of Medical Research, China Medical University Hospital, Taichung 40447, Taiwan

5. Department of Bioinformatics and Medical Engineering, Asia University, Taichung 41354, Taiwan

6. Guangdong L-Med Medicine Biotechnology Co., Ltd, Meizhou, Guangdong 514699, P. R. China

Abstract

We developed TCMBank which contains 9192 herbs, 61 966 unduplicated ingredients, 15 179 targets, 32 529 diseases, and their pairwise relationships. We developed an ensemble learning-based drug discovery protocol for identifying potential lead.

Funder

National Natural Science Foundation of China

Special Project for Research and Development in Key areas of Guangdong Province

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

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