应用分子全息QSAR技术预测硝基芳烃的遗传毒性

分子全息是一种新的分子结构表征技术，基于分子全息的结构．活性关系(HQSAR)技术具有高效、快速、预测能力高等优点，非常适合于分析大量数据样本．本文应用这一最新的QSAR技术，采用偏最小二乘回归技术，研究了54种硝基芳烃的致突变毒性，建立了QSAR定量预测模型．交叉验证和非交叉验证结果表明，模型具有良好的拟合效果和显著的预测能力，进一步的测试数据检验表明，模型具有高度的预测能力和很好的稳健性，可以用来对这一类典型的有毒有机污染物的毒性进行预测．     

HQSAR and CoMFA approaches in predicting reactivity of halogenated compounds with hydroxyl radicals

Two quantitative structure–activity relationship (QSAR) methods: hologram QSAR (HQSAR) and comparative molecular field analysis (CoMFa) were evaluated for predicting half-lives of the hydroxyl radicals reaction with substituted aromatic compounds. The HQSAR approach, which is topological in nature, results in a mathematical model which was more stable and has a greater predictive ability than the model derived on the 3-D CoMFA approach. Interpretations of the colour coded results of both methods are in good agreement with the proposed mechanism of the hydroxyl radical oxidation of halogenated aromatic compounds in the atmosphere.     

Holographic QSAR of selected esters

The HQSAR (Holographic QSAR) method, which has been recently developed, can offer the ability to rapidly and easily generate QSAR models of high statistical quality and predictive value. HQSAR analysis requires selecting values for parameters that specify the size of the hologram that is to be used, and the size and type of fragment substructures that are to be encoded. The color coding is provided by HQSAR to reflect which molecular fragments may be important contributors to the biological activity. In this work, we studied the quantitative structure activity relationship of selected esters using the HQSAR method. A robust HQSAR model with r² (non-cross-validated regression coefficient) of 0.981 and q² (cross-validated regression coefficient) of 0.912, was developed after optimizing the fragment size and the hologram length. The color coding analysis, which has rarely been reported before, was done here to explain the outlier successfully.     

硝基苯类化合物对斜生栅藻毒性的HQSAR分析

利用分子全息定量结构-活性相关关系(HQSAR)技术研究了25种硝基苯类化合物对斜生栅藻的急性毒性与其结构之间的相关关系.应用偏最小二乘回归技术(PLS)建立了定量模型.在碎片长度为1~7、碎片区分参数为原子类型、化学键类型和连接性条件下,得到最佳模型(Q2=0.921,R2=0.992).为检验模型的预测能力,将数据集分成训练集和预测集.模型对预测集的预测结果与实测值吻合较好,表明模型的预测能力良好.最后利用色码图对模型中不同原子的贡献进行了解释.     

分子全息QSAR方法预测苯衍生物对蝌蚪的急性毒性

采用半静态培养法测定了一系列苯衍生物对蝌蚪的12h致死毒性.应用分子全息QSAR方法构建了化合物的亚结构与毒性之间的定量模型,探讨了分子全息长度、碎片尺寸以及区分常数对模型质量的影响,并检验了模型的稳健性.结果显示,研究的51种苯衍生物的半致死毒性(12h log1 /LC₅₀,mol/L)分布在2.07～4.56之间.最优HQSAR模型以6～7为碎片尺寸,83为全息长度,6个主成分,Leave-One-Out交叉验证的r²_cv是0.849,最终的非交叉验证的拟合模型r² 为0.942 ,表明模型稳健性能良好,可用于预测苯衍生物的毒性.     

Holographic quantitative structure-activity relationship for prediction acute toxicity of benzene derivatives to the guppy (Poecilia reticulata)

Holographic quantitative structure-activity relationship(HQSAR) is an emerging QSAR technique with the combined application of molecular hologram, which encoded the frequency of occurrence of various molecular fragment types, and the subsequent partial least squares(PLS) regression analysis. In this paper, the acute toxicity data to the guppy( poecilia reticulata) for a series of 56 substituted benzenes, phenols, aromatic amines and nitro-aromatics were subjected and this resulted in a model with a high predictive ability. The influence of fragment size and fragment distinction parameters on the quality of HQSAR model was investigated. The robustness and predictive ability of the model were also validated by leave-one-out (LOO) cross-validation procedure and external testing data set.