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植物类中药宏观药性是其物质成分微观药性交互作用而综合呈现的结果,具有明显的系统性和非线性特征。探讨寒热药性的物质构成,必须回归经典理论的认知思路,微观分析与宏观归纳相结合,从整体上把握药性本质。将植物遗传关系与药性研究结合,以科属内药性属性趋同的中药组群为对象,利用指纹图谱技术获得其成分多维多息谱图,先从统计学角度找到高显示度药性特征标记,进而采用网络生物学技术,构建寒热药性特征标记与药性间的系统网络,建立模式识别模型,从整体上分析成分与药性的关联关系,可望建立符合中医药认知规律的药性表征、评价方法,实现科属中药基于全成分特征的药性识别和预测。
The macroscopic medicinal properties of plant-based Chinese medicine are the result of the comprehensive interaction between the micro-medicinal properties of the substance components and have obvious systematic and non-linear characteristics. To explore the composition of the cold and heat medicine, we must return to the classical theory of cognitive thinking, micro-analysis and macro-induction combined to grasp the overall nature of the drug. The plant genetic relationship and drug resistance research combined with the medicinal properties within the convergence of the Chinese medicine group as the object, the use of fingerprinting technology to obtain the composition of multi-dimensional multi-interest spectrum, from the statistical point of view to find a high degree of indication of drug-resistance characteristics, and thus By using the network biology technology, the system network between the signatures and the medicinal properties of the cold-heat medicinal properties is constructed and the pattern recognition model is established. Based on the overall analysis of the relationship between the components and the medicinal properties, it is expected to establish the medicinal characterization and evaluation methods that conform to the cognitive rules of traditional Chinese medicine. Realization is a part of traditional Chinese medicine based on the characteristics of the whole drug identification and prediction.