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MicrobeTCM: A comprehensive platform for the interactions of microbiota and traditional Chinese medicine.
Chen, Yufeng; Shi, Yu; Liang, Chengbang; Min, Zhuochao; Deng, Qiqi; Yu, Rui; Zhang, Jiani; Chang, Kexin; Chen, Luyao; Yan, Ke; Wang, Chunxiang; Tan, Yan; Wang, Xu; Chen, Jianxin; Hua, Qian.
Afiliação
  • Chen Y; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Shi Y; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Liang C; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Min Z; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China; School of Zoology, The George S. Wise Faculty of Life Sciences Tel Aviv Tel Aviv University, Tel Aviv 69978, Israel.
  • Deng Q; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Yu R; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Zhang J; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Chang K; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Chen L; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Yan K; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Wang C; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Tan Y; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Wang X; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China.
  • Chen J; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China. Electronic address: cjx@bucm.edu.cn.
  • Hua Q; School of Traditional Chinese Medicine, School of Life Science, School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese medicine, Beijing 100029, China. Electronic address: huaq@bucm.edu.cn.
Pharmacol Res ; 201: 107080, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38272335
ABSTRACT
Thanks to the advancements in bioinformatics, drugs, and other interventions that modulate microbes to treat diseases have been emerging continuously. In recent years, an increasing number of databases related to traditional Chinese medicine (TCM) or gut microbes have been established. However, a database combining the two has not yet been developed. To accelerate TCM research and address the traditional medicine and micro ecological system connection between short board, we have developed the most comprehensive micro-ecological database of TCM. This initiative includes the standardization of the following advantages (1) A repeatable process achieved through the standardization of a retrieval strategy to identify literature. This involved identifying 419 experiment articles from PubMed and six authoritative databases; (2) High-quality data integration achieved through double-entry extraction of literature, mitigating uncertainties associated with natural language extraction; (3) Implementation of a similar strategy aiding in the prediction of mechanisms of action. Leveraging drug similarity, target entity similarity, and known drug-target entity association, our platform enables the prediction of the effects of a new herb or acupoint formulas using the existing data. In total, MicrobeTCM includes 171 diseases, 725 microbes, 1468 herb-formulas, 1032 herbs, 15780 chemical compositions, 35 acupoint-formulas, and 77 acupoints. For further exploration, please visit https//www.microbetcm.com.
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Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china Assunto principal: Microbiota / Medicina Tradicional Chinesa Idioma: En Revista: Pharmacol Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Medicinas Tradicionais: Medicinas_tradicionales_de_asia / Medicina_china Assunto principal: Microbiota / Medicina Tradicional Chinesa Idioma: En Revista: Pharmacol Res Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China