期刊文献+

中药药效物质多模态辨识方法学及其应用研究 被引量:16

Methodology and applications for multimodal identification of active constituents of traditional Chinese medicine
原文传递
导出
摘要 针对现有中药药效物质研究面临的缺乏多向药理效应评价方法、难以系统辨析药效物质等瓶颈问题,该文采用系统论、信息论以及协同论等科学方法论对中药药效物质研究领域的关键科学问题进行理论思考,提出从宏观、介观直至微观的跨尺度科学观察中药化学组成与生物效应相关性的系统研究策略,构建了中药药效物质多模态辨识方法学及其核心技术,构思了以多模态信息获取为手段、以多源信息融合分析为核心、以交互作用评价为重点的中药药效物质多模态研究技术体系。根据中药与机体间物质-能量-信息交换特点,发展了中药药效物质多模态辨识核心技术,并简要论述了2个应用研究示例,为破解中药药效物质研究的瓶颈问题开拓新路,也为中药多模态研究奠定了基础。 The discovery of active constituents of traditional Chinese medicine(TCM)faces multiple challenges,such as limited approaches to evaluate poly-pharmacological effects,and the lack of systematic methods to identify active constituents.Aimed at these bottleneck problems in the field,the present study intensively discussed the key scientific problems in the identification of active constituents of TCM,based on scientific methodologies including systematology,information theory,and synergetics.A comprehensive strategy is herein proposed to investigate the correlations between the chemical composition and biological activities of TCM,from macro-,meso-,and micro-scales.Moreover,in this study,we systematically proposed the methodology of the multimodal identification of TCM active constituents,and thoroughly constructed its core technologies.Its technical framework is suggested to be assessed by multimodal information acquisition,centered on multisource information fusion,and focused on interaction evaluation.Furthermore,the core technologies for the multimodal identification of active constituents of TCM were developed in this study,which is according to the characteristics of the exchanges of between TCM and biological organisms,in the aspects of material,energy and information.Finally,two examples of the application of the proposed method were briefly introduced.The proposed methodology provides a novel way to solve the bottlenecks in the study of active constituents of TCM,and lays the foundation for the multimodal study of TCM.
作者 王毅 张晗 张伯礼 赵筱萍 WANG Yi;ZHANG Han;ZHANG Bo-li;ZHAO Xiao-ping(Department of Chinese Medicine Science&Engineering,Zhejiang University,Hangzhou 310058,China;State Key Laboratory of Component Chinese Medicine,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China;College of Basic Medical Sciences,Zhejiang Chinese Medical University,Hangzhou 310053,China)
出处 《中国中药杂志》 CAS CSCD 北大核心 2020年第1期1-6,共6页 China Journal of Chinese Materia Medica
基金 国家自然科学基金项目(81822047).
关键词 中药药效物质 中药药效物质多模态辨识 中药多尺度研究 中药组分智能辨析 中药组效关系辨识 active constituents of traditional Chinese medicine multimodal identification of active constituents of traditional Chinese medicine multiscale study of traditional Chinese medicine intelligent identification of active components of traditional Chinese medicine identifying composition-activity relationship of traditional Chinese medicine
  • 相关文献

参考文献1

二级参考文献26

  • 1Janssens A C J W, Khoury M J. Predictive value of testing for multiple genetic variants in multifactorial diseases: implications for the discourse on ethical, legal and social issues[ J]. Ital J Pub Health, 2006,3(3/4) :35.
  • 2Wray N R, Goddard M E, Visscher P M. Prediction of individual genetic risk of complex disease[ J]. Curr Opin Genet Dev, 2008, 18(3) :257.
  • 3Frantz S. Drug discovery: playing dirty[ J]. Nature, 2005,437 (7061) :942.
  • 4Zimmermann G R, Lehar J, Keith C T. Multi-target therapeutics: when the whole is greater than the sum of the parts[ J]. Drug Discoy Today, 2007,12 ( 1/2 ) :34.
  • 5Sams-Dodd F. Target-based drug discovery: is something wrong [J]. Drug Discov Today, 2005,10(2) :139.
  • 6Barabasi A L, Oltvai Z N. Network biology: understanding the cell's functional organization [ J ]. Nat Rev Genet, 2004,5 (2) 101.
  • 7Hopkins A L. Network pharmacology: the next paradigm in drug discovery[ J]. Nat Chem Biol, 2008,4( 11 ) :682.
  • 8Hopkins A L. Network pharmacology[ J]. Nat Biotechnol, 2007, 25(10) :1110.
  • 9Ergun A, Lawrence C A, Kohanski M A, et al. A network biology approach to prostate cancer[ J]. Mol Syst Biol, 2007,3:82.
  • 10Lim J, Hao T, Shaw C, et al. A protein-protein interaction network for human inherited ataxias and disorders of Purkinje cell degeneration [ J ]. Cell, 2006,125 (4) : 801.

共引文献29

同被引文献308

引证文献16

二级引证文献98

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部