TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction

Qiujie Lv; Guanxing Chen; Haohuai He; Ziduo Yang; Lu Zhao; Kang Zhang; Calvin Yu‐Chian Chen

doi:10.1038/s41392-023-01339-1

March 31, 2023Signal Transduction and Targeted TherapyOpen Access

TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction

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Key Points

This research aims to develop a reliable TCM database focusing on the active ingredients and their mechanisms of action.
Developed a comprehensive TCM database
Applied deep learning techniques for prediction
Analyzed the relationship between active ingredients and biological targets
Successful identification of active ingredients using deep learning
Demonstrated mechanisms of action for several key herbs
Enhanced accuracy in exclusion prediction for Chinese-Western medicine integration

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Implication

Demonstrates active ingredient prediction in TCM, suggesting improved diagnostics for herbal medicine.

Abstract

In the modernization of traditional Chinese medicine (TCM), two key aspects are determining the active ingredients in herbs and elucidating the mechanism of action between the active ingredients and targets. The construction of a comprehensive and highly-reliability TCM database is highly desirable.

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Cite This Study

Lv et al. (2023) studied this question.

synapsesocial.com/papers/6a5e3b6bdec751667c70b9e6 https://doi.org/10.1038/s41392-023-01339-1

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TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction

Key Points

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Implication

Abstract

Discussion

Cite This Study

TCMBank-the largest TCM database provides deep learning-based Chinese-Western medicine exclusion prediction

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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