基于复杂系统熵聚类方法的中药新药处方发现研究思路  

Designing New TCM Prescriptions Based on Complex System Entropy Cluster

作　　者：唐仕欢[1] 陈建新[2,3] 杨洪军[1] 王波[4] 

机构地区：[1]中国中医科学院中药研究所,北京100700 [2]北京中医药大学,北京100029 [3]中国科学院自动化研究所,北京100190 [4]中国人民解放军总医院第二附属医院,北京100091

出　　处：《世界科学技术-中医药现代化》2009年第2期225-228,共4页Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology

基　　金：国家自然科学基金项目(30873465):抗痨中药筛选新模式的研究;负责人:王波

摘　　要：本文对中药新药处方发现模式及其问题进行了分析,在此基础上,提出中药新药处方发现的新工具-复杂系统熵聚类方法,并详细阐述应用此方法进行中药新药处方发现的研究思路。主要包括:建立病证方剂数据库;应用复杂系统熵聚类方法快速筛选出中药核心组合;对筛选出的中药核心组合进行专家判断,从而确立用于中药新药研发的候选处方。此方法的应用将为中药新药处方快速发现提供新的思路。This paper analyzes the New TCM Prescription Design Model （NTCMPDM） and the associated problems. Based on the analysis, we present a new technique, or complex system entropy cluster, for designing new TCM prescriptions, along with some research strategies for the application. The strategies are mainly made in three parts. The first part is to build a database for the formula and syndromes in the context of a disease. The next is to screen out the core herbal combinations though complex system entropy cluster. Finally, the qualified herbal combinations are evaluated and screened by TCM experts to be a candidate for new drugs. The strategies presented here constitute a basis for quick screeninz the desired candidates for new TCM drugs.

关 键 词：中药新药 处方发现熵 复杂系统 熵 聚类方法 

分 类 号：R288[医药卫生—中药学] R311[医药卫生—中医学]