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[Research on composing principle of anti-phthisis prescriptions based on complex system entropy method]
Shihuan Tang1, Jianxin Chen, Hongjun Yang
1Institute of Chinese Materia Medica, China Academy of Chinese medical sciences, Beijing 100700, China.
Summary
The complex system entropy method effectively identified core herb combinations in anti-tuberculosis (anti-phthisis) prescriptions. This approach reveals underlying principles for traditional medicine formulation.
Area of Science:
- Traditional Chinese Medicine
- Systems Biology
- Pharmacology
Context:
- Tuberculosis (phthisis) treatment historically relies on complex herbal prescriptions.
- Understanding the rationales behind these traditional formulations is crucial for modern scientific validation.
- Existing methods struggle to analyze the intricate relationships within multi-herb formulas.
Purpose:
- To apply the complex system entropy method to analyze the composition of anti-tuberculosis prescriptions.
- To identify frequently used and core combinations of herbs within these prescriptions.
- To elucidate the underlying principles governing the structure of anti-tuberculosis traditional medicine.
Summary:
- A database of 477 anti-tuberculosis prescriptions was constructed.
- The complex system entropy method, utilizing revised mutual information and clustering, analyzed herb associations.
- This analysis identified 36 frequently used herb combinations and 34 core combinations.
Impact:
- The complex system entropy method demonstrates efficacy in uncovering the compositional logic of traditional prescriptions.
- Findings provide a data-driven foundation for understanding and potentially optimizing anti-tuberculosis herbal treatments.
- This methodology can be extended to analyze other complex traditional medicine formulas.
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