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出 处:《中国实验方剂学杂志》2014年第14期1-4,共4页Chinese Journal of Experimental Traditional Medical Formulae
基 金:国家自然科学基金项目(81203005);中国中医科学院基本科研业务费自主选题项目(ZZ070830;Z02063)
摘 要:中医药领域的无数临床实践与理论研究积累的文献,承载着中医防治疾病用药规律的丰富信息,是中医传统知识的载体,也是中药新药处方筛选的源头。中药新药处方筛选和发现是中药新药创制的首要环节。本文针对中药新药处方来源的现状,分析了文献处方筛选、经验方筛选、有效成分制剂等处方来源存在的问题。在此基础上,提出源于中医传统知识与临床实践的中药新药发现研究策略,分为数据库构建及分析、处方筛选及论证、处方的再验证三个步骤,即以中医传统知识与临床实践为基础,构建可分析的结构化的中医方剂及临床数据库,引进数据挖掘方法对中医方剂的组方规律和用药经验进行分析,结合中医传统知识的专业判断和临床实践验证,从而确定中药新药研发的候选处方,为加快中药新药创制提供新的思路。Objective: Literature accumulated via long-time practices and basic theory research is rich in information concerning preventive and curative rules of traditional Chinese medicine (TCM). It carries so much knowledge that could be taken as the sources for candidate drug searching in new TCM drug design. To screen and discover the prescriptions of new TCMs is the primary task in new drug design. Based on the status quo of prescription sources of new TCMs, this article aimed at analyzing some problems concerning prescriptions sources in many aspects of prescription screening, such as literature prescriptions, experiencing prescriptions and effective components prescriptions. Then, based on TCM knowledge and clinical practices, the article proposed the research strategy for discovery of new TCMs. To be specific, the research strategy included constructing analyzable structural database of prescriptions and clinical data, analyzing the composition rules of prescription via data mining (DM) , and determining the candidate prescriptions of new TCM design, combined with professional judgement and verification by clinical practices, to provide new thoughts for new drug design of TCM.
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