期刊论文

Screening of Effective Ingredients from Cyperi Rhizoma Based on BP-ANN Model

中文

中国实验方剂学杂志

1005-9903

2013

19

22

27-30

10.11653/syfj2013220027

江西省科技厅青年科学基金计划项目（20132BAB215028）；

本校为第一机构

目的:分析香附不同炮制品的HPLC指纹图谱与药理效应数据,应用偏最小二乘法(PLS)和BP神经网络模型(BP-ANN)对香附不同炮制品中HPLC指纹图谱共有峰的峰面积与调经止痛药理效应进行关联,筛选香附主要效应成分.方法:采用PLS进行数据处理,通过MATLAB中的神经网络工具箱,建立BP-ANN模型,计算出各个因素的平均影响值(MIV),根据MIV大小列出各因素对应变量(药理效应)影响的相对重要性顺位,筛选香附治疗痛经的有效成分.结果:11组香附样品中存在16个共有峰,假设各峰的成分分别为X1,X2,X3,X4,X5,X6,X7,X8,X9,X10,X11,X12,X13,X14,X15,X16.香附对缩宫素所致小鼠痛经模型的扭体反应抑制率影响的主要效应成分排...

Objective： Through analysis HPLC fibgerprint and pharmacological effect data of different processed products of Cyperi Rhizoma, application PLS and BP-ANN model to associate total peak area of HPLC fingerprint and pharmacodynamics effect of anti-dysmenorrhea from different processed products of Cyperi Rhizoma, then to screen major effective ingredients of Cyperi Rhizoma. Method： Using PLS for data processing, BP-ANN model was established by the neural network toolbox in MATLAB, MIV of various factors were calculated, relative importance seque...