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首页> 外文期刊>Journal of Computer-Aided Molecular Design >Prediction of the n-octanol/water partition coefficients in the SAMPL6 blind challenge from MST continuum solvation calculations
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Prediction of the n-octanol/water partition coefficients in the SAMPL6 blind challenge from MST continuum solvation calculations

机译:从MST连续溶解计算中的SAMPL6盲挑战中的正辛醇/水分配系数预测

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The IEFPCM/MST continuum solvation model is used for the blind prediction of n-octanol/water partition of a set of 11 fragment-like small molecules within the SAMPL6 Part II Partition Coefficient Challenge. The partition coefficient of the neutral species (log P) was determined using an extended parametrization of the B3LYP/6-31G(d) version of the Miertus-Scrocco-Tomasi continuum solvation model in n-octanol. Comparison with the experimental data provided for partition coefficients yielded a root-mean square error (rmse) of 0.78 (log P units), which agrees with the accuracy reported for our method (rmse = 0.80) for nitrogen-containing heterocyclic compounds. Out of the 91 sets of log P values submitted by the participants, our submission is within those with an rmse < 1 and among the four best ranked physical methods. The largest errors involve three compounds: two with the largest positive deviations (SM13 and SM08), and one with the largest negative deviations (SM15). Here we report the potentiometric determination of the log P for SM13, leading to a value of 3.62 +/- 0.02, which is in better agreement with most empirical predictions than the experimental value reported in SAMPL6. In addition, further inclusion of several conformations for SM08 significantly improved our results. Inclusion of these refinements led to an overall error of 0.51 (log P units), which supports the reliability of the IEFPCM/MST model for predicting the partitioning of neutral compounds.
机译:IEFPCM / MST连续溶解模型用于在SAMPL6第二部分分区系数挑战中盲目预测一组11片状的小分子的一组11片段状的小分子。使用N-辛醇中的Miertus-Scrocco-Tomasi连续溶解模型的B3Lyp / 6-31g(d)版本的B3Lyp / 6-31g(d)版本的延长参数测定测定中性物质(log p)的分区系数。与分配系数提供的实验数据的比较产生了0.78(LOG P单元)的根均方误差(RMSE),其同意我们对含氮杂环化合物的方法(RMSE = 0.80)的准确度。在参与者提交的91套日志P值中,我们的提交在RMSE <1和四个最佳排名的物理方法中的那些。最大的误差涉及三种化合物:两个具有最大的正偏差(SM13和SM08),以及具有最大负偏差(SM15)的化合物(SM15)。在这里,我们报告了SM13的LOG P的电位测定,导致值为3.62 +/- 0.02,这与大多数经验预测更好,而不是SAMPL6中报告的实验值。此外,进一步包含MS08的若干构象显着提高了我们的结果。将这些改进夹杂在一起导致0.51(LOG P单位)的总体误差,其支持IEFPCM / MST模型的可靠性,以预测中性化合物的分配。

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