【作者】 杨波；

【导师】 王振国；

【作者基本信息】 山东中医药大学 ， 中医医史文献， 2010， 博士

【摘要】 目的：利用现有文献提供的信息资料,从有机成分和无机成分两方面研究植物类中药化学成分与中药寒热药性之间的相关性,为进一步研究中药四性的物质基础提供文献学依据。方法：通过文献检索收集植物药化学成分信息,利用化学信息学对资料进行整理,运用多种数据统计分析与挖掘方法分析化学信息数据,探寻化学成分与中药寒热属性的相关性。结果：从有机成分大类、亚类、次级结构基团、单一化合物四个层次建立Logistic回归方程,对中药寒热属性进行判别。利用Bayes判别方法和支持向量机分析无机元素与寒热属性相关性,判别效果理想。结论：中药寒热药性与化学成分之间存在相关性,化学成分是中药四性的物质基础,通过中药的化学成分可以建立中药寒热药性的判别模型,对中药的寒热属性进行预测判别。更多还原

【Abstract】 Object:Using the information from existing literatures, research the relationship between the cold-heat nature of Chinese medicinal herbs and chemical constituents in two aspects, they are organic components and inorganic components. To provide reference for the feasibility of further study, to research the material base of four nature of traditional Chinese medicine.Method:To collect chemical information of plant medicine by document retrieval, using chemical informatics to collate the data and analyze it, then research the relationship between chemical constituents and cold-heat nature of herbs.Result:Establish logistic regression equation based on four levels of organic components, they are lager class, subclass, secondary structure groups and single compound. Use the regression equation to distinguish cold-heat nature of herbs. Using Bayes discriminate method and support vector machine to analyze the relationship between inorganic elements and cold-heat of herbs, it has ideal effect.Conclusion:There is relativity between cold-heat nature of traditional Chinese medicine and chemical constituents. Chemical constituents are the material base of four properties of traditional Chinese medicine, what we can use to establish discriminate model of cold-heat nature of traditional Chinese medicine. Use the discriminate model to distinguish cold and heat of herbs.更多还原