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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Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
China Anti-Cancer Association
2024-11-01
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Series: | Cancer Biology & Medicine |
Subjects: | |
Online Access: | https://www.cancerbiomed.org/content/21/11/1067 |
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