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投影边缘在硝基苯类化合物构效关系研究中的应用
引用本文:张庆友,齐玉华,王俊,罗操操,许禄.投影边缘在硝基苯类化合物构效关系研究中的应用[J].高等学校化学学报,2004,25(4):622-626.
作者姓名:张庆友  齐玉华  王俊  罗操操  许禄
作者单位:中国科学院长春应用化学研究所, 长春 130022
基金项目:国家自然科学基金 (批准号 :2 0 0 770 2 6)资助
摘    要:在三维投影的基础上,对投影的边缘进行了描述,并以其进行了定量结构活性相关研究.实验结果表明,与Am指数、指示变量和量化参数相结合,可使其数学模型得到明显提高.通过人工神经网络对硝基苯类化合物的毒性进行预测,结果令人满意.

关 键 词:硝基苯类化合物  构效关系  投影边缘  多元线性回归分析  人工神经网络  
文章编号:0251-0790(2004)04-0622-05
收稿时间:2003-01-15

Applications of the Periphery of Projection in Studies of the Quantitative Structure-activity Relationship of Nitrobenzenes
ZHANG Qing-You,QI Yu-Hua,WANG Jun,LUO Cao-Cao,XU Lu.Applications of the Periphery of Projection in Studies of the Quantitative Structure-activity Relationship of Nitrobenzenes[J].Chemical Research In Chinese Universities,2004,25(4):622-626.
Authors:ZHANG Qing-You  QI Yu-Hua  WANG Jun  LUO Cao-Cao  XU Lu
Institution:Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
Abstract:In this paper, the periphery of projection of a molecule is described based on three-dimensional projection, and the new invariable was used for quantitative structure-activity relationship studies. Much better results were obtained, if Am indexes, indicated index and quantum-chemical parameters were combined with the new index. If on the new parameter, periphery of projection of a molecule, the correlation coefficient is 0.939; whereas the correlation coefficient is 0.954 because the addition of the new index. Artificial neural networks were performed to predict the toxicity of nitrobenzenes, and the satisfactory result, the correlation coefficient of 0.986, were achieved.
Keywords:Nitrobenzenes  QSAR  Periphery of projection  Multiple linear regression  Artificial neural networks  
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