中药复方及组分配伍优化策略与实践
Optimization Strategy and Practice of Traditional Chinese Medicine Compound and Its Component Compatibility
王志昊 1周文静 2费程浩 3刘云璐 4张溢婧 5赵悦 3王岚 6封亮 7李志勇8
作者信息
- 1. 山西中医药大学基础医学院,山西晋中 030619;中国中医科学院中药研究所,北京 100700;方药配伍及功用山西省中医药管理局重点研究室,山西晋中 030619
- 2. 山西中医药大学基础医学院,山西晋中 030619;方药配伍及功用山西省中医药管理局重点研究室,山西晋中 030619
- 3. 中央民族大学信息工程学院,北京 100081
- 4. 中国中医科学院医学实验中心,北京 100700
- 5. 中央民族大学药学院,北京 100081
- 6. 中国中医科学院中药研究所,北京 100700
- 7. 中国药科大学中药学院,南京 211198
- 8. 中国中医科学院中药研究所,北京 100700;方药配伍及功用山西省中医药管理局重点研究室,山西晋中 030619
- 折叠
摘要
组方优化研究是中药复方研究的重要环节,近年来数理方法、数据挖掘技术及人工神经网络等工具方法的引入,为解析中药复方配伍规律提供了新的研究手段.中药复方涉及众多变量,如不同药材的配伍比例、各药材的具体提取部位及多组分的相互作用,这些因素共同构成了复杂的非线性量效关系.在这种背景下,寻找适合研究复方特点、能发挥复方优势的方法,并实现其在新药研发中的有效应用至关重要.该文就近年来在中药复方配伍研究中应用的前沿优化试验设计方法进行全面综述,探讨了方药来源优化、配伍中药材剂量优化及多目标优化指标等关键技术问题;归纳整理了在配伍优化过程中对组分效应的评价方法,旨在为中医药创新研究和基于中药复方的新药开发提供科学且实用依据.
Abstract
Prescription optimization is a crucial aspect in the study of traditional Chinese medicine(TCM)compounds.In recent years,the introduction of mathematical methods,data mining techniques,and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds.The study of TCM compounds involves numerous variables,including the proportions of different herbs,the specific extraction parts of each ingredient,and the interactions among multiple components.These factors together create a complex nonlinear dose-effect relationship.In this context,it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development.This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities.The key technical issues,such as the optimization of source material selection,dosage optimization of compatible herbs,and multi-objective optimization indicators,were discussed.Furthermore,the evaluation methods for component effects were summarized during the optimization process,so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.
关键词
中药复方/配伍优化/制剂优化/多指标寻优/数理模型Key words
traditional Chinese medicine(TCM)compounds/compatibility optimization/formulation optimization/multi-objective optimization/mathematical model引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
维普
万方数据