From complexity to clarity: development of CHM-FIEFP for predicting effective components in Chinese herbal formulas by using big data

Objective: The presence of complex components in Chinese herbal medicine (CHM) hinders identification of the primary active substances and understanding of pharmacological principles. This study was aimed at developing a big-data-based, knowledge-driven in silico algorithm for predicting central com...

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Bibliographic Details
Main Authors: Boyu Pan, Han Zhu, Jiaqi Yang, Liangjiao Wang, Zizhen Chen, Jian Ma, Bo Zhang, Zhanyu Pan, Guoguang Ying, Shao Li, Liren Liu
Format: Article
Language:English
Published: China Anti-Cancer Association 2024-11-01
Series:Cancer Biology & Medicine
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Online Access:https://www.cancerbiomed.org/content/21/11/1067
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