应用Cerius^2软件中的主成分分析法(PCA)和Var.Jarvis-Patrick聚类方法对新型含噻唑和三唑环的亚胺类杂环化合物进行分类,再用遗传函数算法(GFA)和分子力场分析方法(MFA)分别进行了二维/三维定量构效关系研究(QSAR),所建模型都通过了显著性检验。CV-r^2均大于0.910,表明模型都具有良好的预测可靠性。计算研究表明:分子的热力学性质(各种原子类型AlogP描述符)、空间结构状态(Jurs参数和Shadow参数)和电拓扑状态指数(S—aaCH)是影响活性的主要二维因素。三维研究结果表明,分子的静电作用强弱对活性影响较大。最后根据药物分子设计理论设计了一系列亚胺类化合物,并用所建最优二维/三维QSAR模型进行活性预测与相互验证,筛选出活性可能较高的6个化合物。该研究可为高效亚胺类杀菌剂的研制提供理论指导。
A series of novel imine heterocyclic compounds containing thiazole and triazole ring were classified by Var. Jarvis-Patrick clustering method coupled with principal component analysis (PCA) and then the quantitative structure-activity relationships (QSAR) were investigated using genetic function approximation (GFA) and molecular field analysis (MFA), respectively. All models were cross-validated with CV-P over 0. 910 and used to predict the compounds with reported activity. The results demonstrate that all models are significant with good stability and predictability. The 2D-results indicated that molecular thermodynamic properties ( atom type AlogP descriptors), steric states ( Jurs and Shadow parameters) and electrotopological state indice (S_aaCH) contribute to the activity. The steric function is mostly involved in activity demonstrated by 3D-study. A series of imine compounds were designed according to the theory of drug design and their activity was predicted and reciprocally validated using optimized 2/3D-QSAR models. Six compounds with potential high activity were finally screened. In conclusion, the results in the research are valuable for designing novel effective imine fungicides.