中国中药杂志

2014, v.39(13) 2371-2374

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基于自相似性原理的药性理论系统观
Systematic view on medicinal property theory based on self-similarity principle

袁斌;张燕玲;王耘;乔延江;
YUAN Bin;ZHANG Yan-ling;WANG Yun;QIAO Yan-jiang;Information Engineering Research Center for Traditional Chinese Medicines,Beijing University of Chinese Medicine;

摘要(Abstract):

以药味为基础对方剂配伍规律进行研究,关键在于方剂配伍系统的结构与层次之间的内在关系。该文以系统科学的自相似性原理为核心思想,系统阐释了药性自相似性原理,明确了具有相同或相似药性配伍结构的方剂在功效上具有自相似性,并以实体语法系统为基本框架,构建了朝向药性配伍的药性理论系统观,实现了证、治则治法、功效、药性、药味的中医药知识融合,实现了从证到方的自动设计、优化过程,为药性理论的应用提供了科学可行的方法与技术体系。对饮片配伍、组分配伍、复方药物设计具有技术、方法和理论的指导意义。
Studies on the prescription combination regularity based on medicinal tastes focus on the internal relations between the structure and hierarchy of the prescription combination system. In this paper,with the systematic and scientific self-similarity theory as the core ideology,authors systematically interpreted the self-similarity theory of medicinal properties,defined the self-similarity of prescriptions with identical or similar medicinal properties,and built the systematic view of medicinal property theory based on the prescription combination based on the entity grammar system. As a result,the system was conducive to integrating traditional Chinese medicinal knowledge of syndromes,therapeutic principles,efficacies,medicinal properties and tastes and achieving the automatic design and optimization process from symptoms to prescriptions,and providing scientific and feasible methods and technical systems for the application of the medicinal property theory,with a guiding significance to the technology,methodology and theory of decoction pieces compatibility,component compatibility and compound medicine design.

关键词(KeyWords): 药性自相似性原理;实体语法系统;药性理论系统观
self-similarity theory of medicinal property;entity grammar system;systematic view of medicinal property theory

Abstract:

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基金项目(Foundation): 国家自然科学基金项目(81373985,81173568);; 教育部新世纪优秀人才支持项目(NECT-11-0605);; 国家科技支撑计划项目(2008BAI51B01);; 北京中医药大学科研创新团队支持项目(2011-CXTD-11)

作者(Author): 袁斌;张燕玲;王耘;乔延江;
YUAN Bin;ZHANG Yan-ling;WANG Yun;QIAO Yan-jiang;Information Engineering Research Center for Traditional Chinese Medicines,Beijing University of Chinese Medicine;

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