首页> 外文期刊>Journal of chemical theory and computation: JCTC >Combination of RISM and Cheminformatics for Efficient Predictions of Hydration Free Energy of Polyfragment Molecules:Application to a Set of Organic Pollutants
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Combination of RISM and Cheminformatics for Efficient Predictions of Hydration Free Energy of Polyfragment Molecules:Application to a Set of Organic Pollutants

机译:RISM和化学信息学的结合,可有效预测多片段分子的水合自由能:在一组有机污染物中的应用

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Here, we discuss a new method for predicting the hydration free energy (HFE) of organic pollutants and illustrate theefficiency of the method on a set of 220 chlorinated aromatic hydrocarbons. The new model is computationally inexpensive,with one HFE calculation taking less than a minute on a PC. The method is based on a combination of a molecular integralequations theory, one-dimensional reference interaction site model (1D RISM), with the cheminformatics approach. We correctHFEs obtained by the 1D RISM with a set of empirical corrections. The corrections are associated with the partial molarvolume and structural descriptors of the molecules. We show that the introduced corrections can significantly improve thequality of the 1D RISM HFE predictions obtained by the partial wave free energy expression [Ten-no, S. J. Chem. Phys. 2001,115, 3724] and the Kovalenko-Hirata closure [Kovalenko, A.; Hirata, F. J. Chem. Phys. 1999, 110, 10095]. We also show thatthe quality of the model can be further improved by the reparametrization using QM-derived partial charges instead of theoriginally used OPLS-AA partial charges. The final model gives good results for polychlorinated benzenes (the mean andstandard deviation of the error are 0.02 and 0.36 kcal/mol, correspondingly). At the same time, the model gives somewhatworse results for polychlorobiphenyls (PCBs) with a systematic bias of -0.72 kcal/mol but a small standard deviation equal to0.55 kcal/mol. We note that the error remains the same for the whole set of PCBs, whereas errors of HFEs predicted withcontinuum solvation models (data were taken from Phillips, K. L. et al. Environ. Sci. Technol. 2008, 42, 8412) increasesignificantly for higher chlorinated PCB congeners. In conclusion, we discuss potential future applications of the model andseveral avenues for its further improvement.
机译:在这里,我们讨论了一种预测有机污染物水合自由能(HFE)的新方法,并说明了该方法对一组220种氯化芳烃的效率。新模型的计算成本低廉,一次HFE计算在PC上花费不到一分钟。该方法基于分子积分方程理论,一维参考相互作用位点模型(1D RISM)与化学信息学方法的结合。我们用一组经验校正来校正由一维RISM获得的HFE。校正与分子的部分摩尔体积和结构描述符有关。我们显示,引入的校正可以显着提高通过部分波自由能表达获得的一维RISM HFE预测的质量[Ten-no,S. J. Chem。物理2001,115,3724]和Kovalenko-Hirata封闭[Kovalenko,A .;平田,F. J. Chem。物理1999,110,10095]。我们还表明,通过使用QM衍生的部分电荷而不是最初使用的OPLS-AA部分电荷的重新参数化,可以进一步提高模型的质量。最终模型给出了多氯苯的良好结果(误差的平均值和标准偏差分别为0.02和0.36 kcal / mol)。同时,该模型给出的聚氯联苯(PCB)的结果有些差,系统偏差为-0.72 kcal / mol,但标准偏差很小,等于0.55 kcal / mol。我们注意到整个PCB的误差保持不变,而连续溶剂化模型预测的HFE的误差(数据取自Phillips,KL等人,Environ。Sci。Technol。2008,42,8412)对于较高的氯化度会显着增加PCB同类产品。总之,我们讨论了该模型的潜在未来应用以及进一步改进的几种途径。

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