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Quantitative structure-property relationship study of the solubility of thiazolidine-4-carboxylic acid derivatives using ab initio and genetic algorithm-partial least squares

机译:噻唑烷-4-羧酸衍生物从头算和遗传算法的定量构效关系研究-偏最小二乘

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摘要

A quantitative structure-activity relationships (QSAR) study is suggested for the prediction of solubility of some thiazolidine-4-carboxylic acid derivatives in aqueous solution. Ab initio theory was used to calculate some quantum chemical descriptors including electrostatic potentials and local charges at each atom, HOMO and LUMO energies, etc. Modeling of the solubility of thiazolidine4-carboxylic acid derivatives as a function of molecular structures was established by means of the partial least squares (PLS). The subset of descriptors, which resulted in the low prediction error, was selected by genetic algorithm. This model was applied for the prediction of the solubility of some thiazolidine-4-carboxylic acid derivatives, which were not in the modeling procedure. The relative errors of prediction lower that -4% was obtained by using GA-PLS method. The resulted model showed high prediction ability with RMSEP of 3.8836 and 2.9500 for PLS and GA-PLS models, respectively.
机译:建议进行定量结构-活性关系(QSAR)研究,以预测某些噻唑烷-4-羧酸衍生物在水溶液中的溶解度。从头算理论用于计算一些量子化学描述子,包括每个原子上的静电势和局部电荷,HOMO和LUMO能量等。噻唑烷4-羧酸衍生物作为分子结构的函数的溶解度建模方法是:偏最小二乘(PLS)。通过遗传算法选择了导致低预测误差的描述符子集。该模型用于预测一些未在建模过程中的噻唑烷-4-羧酸衍生物的溶解度。使用GA-PLS方法获得的预测相对误差低于-4%。结果模型对PLS和GA-PLS模型具有较高的预测能力,RMSEP分别为3.8836和2.9500。

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