欢迎访问《中国农学通报》,

中国农学通报 ›› 2015, Vol. 31 ›› Issue (29): 77-81.doi: 10.11924/j.issn.1000-6850.casb15060009

• 植物保护 农药 • 上一篇    下一篇

黄烷酮类衍生物的抗菌活性QSAR研究

熊 光,张红燕   

  1. 湖南农业大学信息科学技术学院,湖南农业大学信息科学技术学院
  • 收稿日期:2015-06-02 修回日期:2015-09-07 接受日期:2015-07-24 出版日期:2015-10-28 发布日期:2015-10-28
  • 通讯作者: 张红燕
  • 基金资助:
    国家自然科学基金青年“基于基因协同作用的肿瘤特征基因选择及其共表达网络分析”(61300130);国家科技支撑计划重大项目“农村信息服务云存储与云计算技术研究与应用” (2013BAD15B02)。

Quantitative Structure-Activity Relationship Study on Fungicidal Activity of Flavanone Derivatives

  • Received:2015-06-02 Revised:2015-09-07 Accepted:2015-07-24 Online:2015-10-28 Published:2015-10-28

摘要: 为了研究黄烷酮衍生物分子结构与杀菌活性的关系,本文以34种黄烷酮衍生物的杀菌活性为指标,以量子化学计算软件PCLIENT提取化合物的初始分子描述符,经高维特征筛选以及多轮末尾淘汰进行特征选择,获得了14个重要分子描述符,并基于保留描述符构了建多元线性回归、支持向量回归模型,获得了较高的预测精度。最后基于支持向量机非线性解释体系,对保留分子描述符的作用进行解析,各描述符对影响黄烷酮衍生物的杀菌活性的重要性依次为SssO > MATS6e > SeaC2C2aa > EEig04d > EEig03x > C-028 > R7v+ > L2e > X4A > Mor25m > G1m > Mor17m >BEHv1 > RDF045m,为指导黄烷酮类杀菌剂的合成提供了重要指导。

关键词: 植物根际促生菌(PGPR), 植物根际促生菌(PGPR), 作用机制, 定殖, 促生机制

Abstract: In order to study the relationship between structure and fungicidal activity, in this article, based on 34 kinds of flavanone derivatives’ fungicidal activity which used as an indicator, stoichiometry software PCLIENT were used to obtain initial molecular descriptors for each compound, then, binary matrix shuffling filter (BMSF) and worst descriptor elimination multi-round (WDEM) method were successively applied to filter the selected descriptors, and 14 molecular descriptors were retained. Finally, we used multiple linear regression and support vector regression to build the model for all retained descriptors respectively, and analyzed the important influence of each retained descriptor based on the SVR nonlinear explanatory system. The model accuracy is higher based support vector nonlinear regression than multiple linear regression; the importance of 14 retained molecular descriptors is SssO > MATS6e > SeaC2C2aa > EEig04d > EEig03x > C-028 > R7v > L2e > X4A > Mor25m > G1m > Mor17m > BEHv1 > RDF045m, and obtains the high accuracy nonlinear SVR-QSAR model. The established model has certain reliability using our method, and plays the important role in conducting fungicides synthesis.

中图分类号: