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Prediction of the basicities of pyridines in the gas phase and in aqueous solution

机译:气相和水溶液中吡啶的碱度预测

摘要

The basicities of 125 pyridine derivatives in the gas phase and in water have been correlated with the electron density properties within the framework of quantum topological molecular similarity (QTMS). We used the theory of quantum chemical topology (QCT) to provide ab initio descriptors that are able to predict pkb values. Partial least squares (PLS) and the machine-learning technique Kriging generated validated models. Properties were considered for systems in their neutral and protonated forms. The compounds were divided into a training set, used to develop the models, and a test set, for which the predicted values of the different models were compared with the experimental ones. The results were found to be good for those compounds with substituents in the meta and para positions, whereas the use of Kriging was required to obtain reasonable results when ortho derivatives were included. The basicity was found to be better described in the gas phase than in water. Special attention was paid to external validation. © 2010 American Chemical Society.
机译:在气相和水中的125个吡啶衍生物的碱性已经与量子拓扑分子相似性(QTMS)框架内的电子密度特性相关。我们使用了量子化学拓扑学(QCT)的理论来提供从头开始的描述符,这些描述符可以预测pkb值。偏最小二乘(PLS)和机器学习技术Kriging生成了经过验证的模型。考虑了中性和质子化形式的系统的特性。将化合物分为训练集(用于建立模型)和测试集,将不同模型的预测值与实验值进行比较。发现对于在间位和对位具有取代基的化合物而言,结果是好的,而当包括邻位衍生物时,需要使用克里格法以获得合理的结果。发现在气相中比在水中更好地描述了碱度。特别注意了外部验证。 ©2010美国化学学会。

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