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Prediction of Aqueous pKa Values forGuanidine-Containing Compounds Using Ab Initio Gas-PhaseEquilibrium Bond Lengths

机译:pKa水溶液的pKa值的预测使用从头算气相的含胍化合物平衡键长

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摘要

In this work, we demonstrate the existence of linear relationships between gas-phase equilibrium bond lengths of the guanidine skeleton of 2-(arylamino)imidazolines and their aqueous pKa value. For a training set of 22 compounds, in the most stable conformation of their lowest energy tautomeric form, three bonds were found to exhibit r2 and q2 values >0.95 and root-mean-squared-error of estimation values ≤0.25 when regressed individually against pKa. The equations describing these one-bond-length linear relationships, in addition to a multiple linear regression model using all three bond lengths, were then used to predict the experimental pKa values of an external test set of further 27 derivatives. The optimal protocol we derive here shows an overall mean absolute error (MAE) of 0.20 and standard deviation of errors of 0.18 for the test set. Predictions for a second test set of diphenyl-based bis(2-iminoimidazolidines) yielded an MAE of 0.27 and a standard deviation of 0.10. The predictive power ofthe optimal model is further demonstrated by its ability to correcterroneously reported experimental values. Finally, a previously establishedguanidine model is recalibrated at a new level of theory, and predictionsare made for novel phenylguanidine derivatives, showing an MAE ofjust 0.29. The protocols established and tested here pass both ofRoy’s modern and stringent MAE-based criteria for a “good”quantitative structure–activity relationship/quantitative structure–propertyrelationship model predictivity. Notably, the ab initio bond lengthhigh correlation subset protocol developed in this work demonstrateslower MAE values than the Marvin program by ChemAxon for all testsets.
机译:在这项工作中,我们证明了2-(芳基氨基)咪唑啉的胍骨架的气相平衡键长度与它们的含水pKa值之间存在线性关系。对于一组训练有22种化合物的化合物,以其最低能量互变异构形式的最稳定构象,发现三个键的r 2 和q 2 值> 0.95,且根相对pKa分别回归时,估计值的均方误差≤0.25。除了使用所有三个键长的多重线性回归模型之外,描述这些单键长线性关系的方程式随后用于预测另外27个导数的外部测试集的实验pKa值。我们在此处得出的最佳协议显示测试集的总体平均绝对误差(MAE)为0.20,误差的标准偏差为0.18。对基于二苯基的双(2-亚氨基咪唑烷)的第二个测试组的预测得出MAE为0.27,标准偏差为0.10。的预测能力最佳模型通过其纠正能力得到进一步证明错误地报告了实验值。最后,一个先前建立的在新的理论和预测水平上重新校准胍模型用于新型苯基胍衍生物,MAE为只有0.29。此处建立和测试的协议均通过罗伊(Roy)基于MAE的现代而严格的标准是“好”定量结构-活动关系/定量结构-性质关系模型的可预测性。值得注意的是,从头算起的键长在这项工作中开发的高相关子集协议证明了所有测试的MAE值均低于ChemAxon的Marvin程序套。

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