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支持向量机法用于4-芳基-4氢-苯并比喃化合物的凋亡诱导活性研究
引用本文:韩光喜,张蕊,余成,关宏宇,葛春华,张向东.支持向量机法用于4-芳基-4氢-苯并比喃化合物的凋亡诱导活性研究[J].分子科学学报,2009,25(4).
作者姓名:韩光喜  张蕊  余成  关宏宇  葛春华  张向东
作者单位:辽宁大学化学院,辽宁,沈阳,110036
基金项目:辽宁省科技厅资助项目 
摘    要:通过计算获得了39个4-芳基-4氢.苯并吡喃化合物的11个结构特征参数,应用逐步线性回归方法对参数进行筛选.并用支持向量回归(SVR)算法,对4-芳基-4氢-苯并吡喃化合物与其凋亡诱导活性进行定量构效关系(QSAR)研究.通过核函数参数的优化,建立了预测模型,训练集和预测集的实验值与计算值的平方相关系数R2分别为0.997和0.893.研究结果表明,支持向量回归算法可用于小样本数的药物分子设计研究,以合成具有更高生物活性的新药物.

关 键 词:支持向量机  定量构效关系  逐步线性回归  4-芳基-4氢-苯并吡喃

Support vector machine applied to research the apoptosis-inducing activity of 4-aryl-4H-chromenes compounds
HAN Guang-xi,ZHANG Rui,YU Cheng,GUAN Hong-yu,GE Chun-hua,ZHANG Xiang-dong.Support vector machine applied to research the apoptosis-inducing activity of 4-aryl-4H-chromenes compounds[J].Journal of Molecular Science,2009,25(4).
Authors:HAN Guang-xi  ZHANG Rui  YU Cheng  GUAN Hong-yu  GE Chun-hua  ZHANG Xiang-dong
Institution:Department of Chemistry;Liaoning University Science and Engineering;Shengyang 110036;China
Abstract:Support vector machines algorithm was applied to study the quantitative structure-activity relationship of 39 apoptosis-inducing 4-aryl-4H-chromenes.The eleven kinds of molecular characteristic parameters were calculated and optimized by stepwise multiple regression.A more predictive model was set up through optimizing kernel function parameters.The squared correlation coefficient(R2) values between experimental versus calculated values for 30 molecules in the training set and 9 molecules in the test set ar...
Keywords:support vector machines  quantitative structure-activity relationship  stepwise multiple regression  4-aryl-4H-chromenes  
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