中药作用机理辅助解析系统的构建

针对目前基于网络药理学的中药作用机制解析存在对生物过程缺乏详细描述及网络模型构建效率比较低的问题,构建"中药作用机理辅助解析系统",实现中药作用机制生物网络模型的自动建模。该研究以实体语法系统为理论框架,融合中药方剂、单味药、化学成分、化学成分作用靶点、生化反应、信号通路及疾病相关靶点数据,建立形式化模型,编写推理引擎,构建界面友好、操作简单的中药作用机制辅助解析平台,可实现中药作用机制网络生物学模型的自动建模。"中药作用机理辅助解析系统"将为中药作用机制网络药理学模型提供自动高效的建模方法,发挥其辅助解析中药作用机制的功能,有助于对中药药性理论、配伍理论开展深入研究,为中药新药的研究和开发提供参考。

Construction of automatic elucidation platform for mechanism of traditional Chinese medicine

Aim at the two problems in the field of traditional Chinese medicine (TCM) mechanism elucidation, one is the lack of detailed biological processes information, next is the low efficient in constructing network models, we constructed an auxiliary elucidation system for the TCM mechanism and realize the automatic establishment of biological network model. This study used the Entity Grammar Systems (EGS) as the theoretical framework, integrated the data of formulae, herbs, chemical components, targets of component, biological reactions, signaling pathways and disease related proteins, established the formal models, wrote the reasoning engine, constructed the auxiliary elucidation system for the TCM mechanism elucidation. The platform provides an automatic modeling method for biological network model of TCM mechanism. It would be benefit to perform the in-depth research on TCM theory of natures and combination and provides the scientific references for R&D of TCM.