Identification of anti-inflammatory compounds from Zhongjing formulae by knowledge mining and high-content screening in a zebrafish model of inflammatory bowel diseases

Identification of anti-inflammatory compounds from Zhongjing formulae by knowledge mining and high-content screening in a zebrafish model of inflammatory bowel diseases

Abstract Background Inflammatory bowel diseases (IBD) are chronic relapsing intestinal inflammations with increasing global incidence, and new drug development remains in urgent demand for IBD management. To identify effective traditional Chinese medicine (TCM) formulae and compounds in IBD treatmen...

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Bibliographic Details
Main Authors: Yunru Yu, Jing Chen, Xiaohui Zhang, Yingchao Wang, Shufang Wang, Lu Zhao, Yi Wang
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Chinese Medicine
Subjects:
Inflammatory bowel diseases
Zhongjing formulae
Knowledge mining
High-content screening
Zebrafish
Multimodal identification
Online Access:https://doi.org/10.1186/s13020-021-00452-z

Internet

https://doi.org/10.1186/s13020-021-00452-z

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