高等学校化学学报

高等学校化学学报

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磺酰脲类化合物除草活性的QSAR研究

李吉来1, 杭烨超2, 耿彩云1, 黄旭日1, 李方实2, 孙家锺1   

    1. 吉林大学理论化学研究所, 理论化学计算国家重点实验室, 长春 130023;
    2. 南京工业大学理学院, 南京 210009
  • 收稿日期:2006-03-27 修回日期:1900-01-01 出版日期:2007-03-10 发布日期:2007-03-10
  • 通讯作者: 黄旭日

QSAR Studies on Herbicidal Activities of Sulfonylurea Compounds

LI Ji-Lai1, HANG Ye-Chao2, GENG Cai-Yun1, HUANG Xu-Ri1, LI Fang-Shi2, SUN Chia-Chung1   

    1. State Key Laboratory of Theoretical and Computational Chemistry, Institute of Theoretical Chemistry, Jilin University, Changchun 130023, China;
    2. College of Science, Nanjing University of Technology, Nanjing 210009, China
  • Received:2006-03-27 Revised:1900-01-01 Online:2007-03-10 Published:2007-03-10
  • Contact: HUANG Xu-Ri

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被引次数

13

摘要： 采用密度泛函理论方法, 在B3LYP/6-31G(d)水平下, 计算了23种磺酰类化合物的分子极化率及分子骨架中各原子的Milliken电荷. 提出了一种新的QSAR建模方法, 并据此对其中18种化合物进行多元线性回归分析, 建立了除草活性的预测模型(R=0.96, R2=0.92, r2adj=0.88, F=26.26, q2=0.71, p<0.01, SE=0.36), 对剩余五种化合物进行预测, 结果吻合. 该模型从化合物的亲水性、分子几何特征的角度对如何提高磺酰脲类化合物的除草活性进行了分析, 并对提高化合物除草活性的方法做出预测: 提高苯环和嘧啶环取代基的亲水性, 增加N13周围的电子云密度, 为苯环接入较小的取代基团, 在嘧啶环上接入较大取代基团都可提高化合物的除草活性. 预测结果与3D-QSAR方法的预测结果一致.

关键词: 磺酰脲类, 除草活性, 密度泛函理论, QSAR

Abstract: Using the density functional theory method, the theoretical quantum chemical descriptors of twenty-three sulfonylurea compounds were calculated at B3LYP/6-31G(d) theoretical level. Described by the descriptors from eighteen compounds and optimized by multiple regression, a new QSAR model was established to correlate the herbicidal activity(R=0.96, r2adj=0.88, F=26.26, q2=0.71, p<0.01, SE=0.36). To obtain new products with a higher herbicidal activity, it is suggested that it is feasible to increase the electron density of the 13th nitrogen atom and to increase the hydrophilicity of the substituents in benzene and pyrimidine. Those predictions are in good agreement with the results obtained from 3D-QSAR method. The present study may be helpful for probing the mechanism of herbicidal activities and understanding the herbicidal chemistry in-depth study in the future.

Key words: Sulfonylurea compound, Herbicidal activity, Density function theory, QSAR

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