向诚, 李勇, 李琨. 中药复杂系统的“多源归一”理论假说J. 药学学报, 2019,54(5): 801-807. doi: 10.16438/j.0513-4870.2018-1008
引用本文: 向诚, 李勇, 李琨. 中药复杂系统的“多源归一”理论假说J. 药学学报, 2019,54(5): 801-807. doi: 10.16438/j.0513-4870.2018-1008
XIANG Cheng, LI Yong, LI Kun. Hypothesis on “one output multi-source” of traditional Chinese medicine complex systemJ. Acta Pharmaceutica Sinica, 2019,54(5): 801-807. doi: 10.16438/j.0513-4870.2018-1008
Citation: XIANG Cheng, LI Yong, LI Kun. Hypothesis on “one output multi-source” of traditional Chinese medicine complex systemJ. Acta Pharmaceutica Sinica, 2019,54(5): 801-807. doi: 10.16438/j.0513-4870.2018-1008

中药复杂系统的“多源归一”理论假说

Hypothesis on “one output multi-source” of traditional Chinese medicine complex system

  • 摘要: 针对中药复杂系统表现出的一些特殊科学事实,本文提出了一个研究中药复杂系统整体性和多成分相互作用规律的"多源归一"理论假说,包括其概念、特征、结构层次和范围,并提出假说的基本模型——人工神经网络模型,以及检验假说可能的思路、技术方法和部分证据。希望该假说能对中药复杂系统的现代科学认识有所促进,进而对中药作用物质基础、复方配伍、质量控制的研究有所推动,成为指导包括化学药、生物药和草药多分子的药物组合研究的理论基础。

     

    Abstract: Based on special scientific facts demonstrated in traditional Chinese medicine (TCM) complex system, this paper proposes a hypothesis of "one output multi-source", discussing the concept, features, structures and the scope. The law of interaction between the integrity and multiple components of TCM complex system was examined. Feasibility, technical methods and evidence supporting the hypothesis have been presented here. We present a basic model of the hypothesis, i.e. artificial neural network (ANN) model. This hypothesis promotes a deeper modern scientific understanding towards the TCM complex system and advancement in research of the material basis. TCM compatibility and quality control will serve as the theoretical foundation for guiding the research on drug combination including chemical, biological and herbal medicines.

     

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