基于最大相似度算法的补阳中药归肾经的量化探讨
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  • 英文篇名:Quantitative Study of Yang-tonifying Herbs Distributing to Kidney Meridian by Using Maximum Similarity Algorithm
  • 作者:姜希伟 ; 邹家丽 ; 项荣武 ; 于净 ; 高翔 ; 梁建坤
  • 英文作者:JIANG Xi-wei;ZOU Jia-li;XIANG Rong-wu;YU Jing;GAO Xiang;LIANG Jian-kun;School of Medical Equipment,School of Pharmaceutical Sciences,Liaoning Medical Big Data and Artificial Intelligence Engineering Technology Research Center,Shenyang Pharmaceutical University;
  • 关键词:肾经 ; 补阳中药 ; 最大相似度算法 ; 蛋白受体 ; 组织表达
  • 英文关键词:kidney meridian;;Yang-tonifying herbs;;maximum similarity algorithm;;protein receptor;;tissue expression
  • 中文刊名:ZSFX
  • 英文刊名:Chinese Journal of Experimental Traditional Medical Formulae
  • 机构:沈阳药科大学医疗器械学院药学院辽宁省医药大数据与人工智能工程技术研究中心;
  • 出版日期:2019-06-05 10:19
  • 出版单位:中国实验方剂学杂志
  • 年:2019
  • 期:v.25
  • 基金:辽宁省自然科学基金项目(20170540850);辽宁省自然科学基金项目(20180550345);; 辽宁省高等学校基本科研项目(自然科学类)(2017LFW02)
  • 语种:中文;
  • 页:ZSFX201918027
  • 页数:8
  • CN:18
  • ISSN:11-3495/R
  • 分类号:182-189
摘要
目的:从靶点组织表达角度构建补阳中药归肾经的判别标准,为中药归经的量化研究提供新思路、新方法。方法:选取9味补阳中药作为训练集,2味补阳中药作为验证集,通过TCMSP2. 3,Pub Chem,Uniprot等数据库搜集药材化学成分及其作用靶点,采用最大相似度算法获得补阳中药核心靶蛋白;利用THPA数据库获得靶蛋白相关组织表达及表达丰度数据;通过训练集数据构建经验回归方程,挖掘药材作用受体的组织分布规律,建立补阳中药归肾经的判别标准模型;通过验证集数据对模型进行检验。结果:构建药材-活性成分-作用蛋白受体-组织表达数据全集库,筛选补阳中药核心靶蛋白39个,训练集药材的组织分布规律具有高度一致性,没有统计学差异(P=0. 999 7),构建补阳中药归肾经的判别标准模型。经验证集数据检验,模型的准确率100%。结论:本研究探索补阳中药归肾经的判别标准新方法,并建立有效的判别标准模型,验证了新方法的可靠性。为中药归经的现代化研究提供了理论基础,对于中医药学的快速发展有着重要意义。
        Objective: To set a criterion for determining whether herbs distribute to kidney meridian from the perspective of tissue expression of protein receptors,so as to provide new ideas and a new method for the quantitative study of meridian tropism. Method: The 9 Yang-tonifying herbs were selected as the training set,and2 Yang-tonifying herbs were used as the verification set. The TCMSP2. 3,PubChem,Uniprot and other database were used to collect the active compounds and targets of traditional Chinese medicine( TCM). The core target proteins of Yang-tonifying herbs were obtained by using the Maximum Similarity Algorithm for TCM in the training set. The THPA database was used to collect expressions of tissues and target proteins. The empirical regression equation was constructed to explore the tissue distribution of the receptors in the training set,and the criterion for determining whether herbs distribute to kidney meridian was established. The criteria model was tested through validation set data. Result: The herb-active ingredient-protein receptor-tissue expression data library was constructed. A total of 39 core target proteins of Yang-tonifying herbs were acquired. The equations in the training set were highly consistent,with no statistical difference( P = 0. 999 7). The data of the combined training set was finally fitted to a judgment equation. The model was successfully tested with herbs in the validation set. The accuracy of the model was 100%. Conclusion: This study explored a new method for judging whether TCM distributes to kidney meridian,established an effective criterion model and verified the reliability of the new method. It provides a theoretical basis for the modernization of meridian tropism of traditional Chinese medicine,and is of great significance for the rapid development of traditional Chinese medicine.
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