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首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >Coral: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical
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Coral: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical

机译:珊瑚:有机芳香族污染物与羟基自由基反应速率常数的QSPR建模

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摘要

The rate constants (K _(OH)) of reactions between 78 organic aromatic pollutants and hydroxyl radical were examined. Simplified molecular input line entry system was used as representation of the molecular structure of the pollutants. Quantitative structure-property relationships was developed using CORAL software (http://www.insilico.eu/CORAL) for four random splits of the data into the subtraining, calibration, and test sets. The obtained results reveal good predictive potential of the applied approach: correlation coefficients (r ~2) for the test sets of the four random splits are 0.75, 0.91, 0.84, and 0.80. Using the Monte Carlo method CORAL software generated the optimal descriptors for one-variable models. The reproducibility of each model was tested performing three runs of the Monte Carlo optimization. The current data were compared to previous results and discussed.
机译:研究了78种有机芳香族污染物与羟基自由基之间的反应速率常数(K_(OH))。简化的分子输入线输入系统被用来表示污染物的分子结构。使用CORAL软件(http://www.insilico.eu/CORAL)开发了定量的结构-属性关系,用于将数据随机分为四个子训练,校准和测试集。获得的结果表明了该方法的良好预测潜力:四个随机分割的测试集的相关系数(r〜2)为0.75、0.91、0.84和0.80。使用蒙特卡洛方法,CORAL软件为一变量模型生成了最佳描述符。测试了每个模型的可重复性,执行了三次蒙特卡洛优化。将当前数据与以前的结果进行比较并进行讨论。

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