Objective:To explore and analyze the effective component,target and mechanism of action of Radix Astragali-Radix Pseudostellariae in the treatment of chronic heart failure(CHF)by network pharmacological research metho...Objective:To explore and analyze the effective component,target and mechanism of action of Radix Astragali-Radix Pseudostellariae in the treatment of chronic heart failure(CHF)by network pharmacological research methods.Methods:With the help of TCMSP database,the effective chemical constituents and targets of Radix Astragali-Radix Pseudostellariae were screened out,and CHF-related proteins were obtained by Gene Cards and OMIM database.The target protein interaction network(PPI)was constructed on the String database platform,and using DAVID database to conduct the GO function and KEGG pathway enrichment analysis on the target of the obtained astragalus-pseudostellariae for the treatment of CHF.Results:Radix Astragali-Radix Pseudostellariae were selected as 28 effective chemical components and 104 therapeutic targets for CHF.There were obtained 49 GO functional annotations and 86 KEGG signaling pathways.Conclusion:Radix Astragali-Radix Pseudostellariae can treat CHF through multi-target and multi-pathway.展开更多
基金Fund Project:Youth Science Fund Project of National Natural Science Foundation of China(No.81904107)Scientific Research Fund of Heilongjiang University of Traditional Chinese Medicine(No.2019TD01)。
文摘Objective:To explore and analyze the effective component,target and mechanism of action of Radix Astragali-Radix Pseudostellariae in the treatment of chronic heart failure(CHF)by network pharmacological research methods.Methods:With the help of TCMSP database,the effective chemical constituents and targets of Radix Astragali-Radix Pseudostellariae were screened out,and CHF-related proteins were obtained by Gene Cards and OMIM database.The target protein interaction network(PPI)was constructed on the String database platform,and using DAVID database to conduct the GO function and KEGG pathway enrichment analysis on the target of the obtained astragalus-pseudostellariae for the treatment of CHF.Results:Radix Astragali-Radix Pseudostellariae were selected as 28 effective chemical components and 104 therapeutic targets for CHF.There were obtained 49 GO functional annotations and 86 KEGG signaling pathways.Conclusion:Radix Astragali-Radix Pseudostellariae can treat CHF through multi-target and multi-pathway.
文摘目的构建能够区分野生品、仿野生品及栽培品黄芪的评分卡。方法使用基于三元组的变分自动编码器(triplet-based variational autoencoder,TVAE)深度生成的600批虚拟数据作为训练集和验证集,对训练集数据进行分箱,并对分箱调整和优化,计算分箱的证据权重(weight of evidence,WOE)。对数据进行WOE编码,建立逻辑回归模型,使用训练集对逻辑回归模型进行训练,使用验证集对逻辑回归模型进行调参。以50分作为样品正负分类几率为1时的分数,根据公式和逻辑回归模型方程分别计算评分卡的基准分数和各分箱对应分数。评分时使用基准分数和样品所对应各分箱的分数相加,得出该样品的分数,以50分为阈值对样品正负类别的概率大小进行判定。构建了A卡和B卡分别实现黄芪样品是否为野生品和是否为栽培品的判别。结果以64批真实样品数据作为测试集分别对A卡和B卡进行评估,A卡和B卡对测试集的分类判别准确率为0.86和0.80。结论评分卡可以较准确地实现对黄芪样品来源的判别,模型稳定可靠,操作简单便捷且易推广。
