高等学校化学学报 ›› 2004, Vol. 25 ›› Issue (4): 622.

• 研究论文 • 上一篇    下一篇

投影边缘在硝基苯类化合物构效关系研究中的应用

张庆友, 齐玉华, 王俊, 罗操操, 许禄   

  1. 中国科学院长春应用化学研究所, 长春 130022
  • 收稿日期:2003-01-15 出版日期:2004-04-24 发布日期:2004-04-24
  • 通讯作者: 许 禄(1941年出生),男,研究员,博士生导师,从事计算机化学研究.E-mail:luxu@ciac.jl.cn E-mail:luxu@ciac.jl.cn
  • 基金资助:

    国家自然科学基金(批准号:20077026)资助

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   

  1. Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
  • Received:2003-01-15 Online:2004-04-24 Published:2004-04-24

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

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.

Key words: Nitrobenzenes, QSAR, Periphery of projection, Multiple linear regression, Artificial neural networks

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