A SIMPLE 2D-QSPR MODEL FOR THE PREDICTION OF SETSCHENOW CONSTANTS OF ORGANIC COMPOUNDS

作者：Xu, Qi; Fan, Lingling; Xu, Jie^*

来源：Macedonian Journal of Chemistry and Chemical Engineering, 2016, 35(1): 53-62.

DOI：10.20450/mjcce.2016.848

• QSPR
• Setschenow constants
• 2D descriptor
• multilinear regression analysis

A quantitative structure-property relationship (QSPR) analysis of the Setschenow constants (K-salt) of organic. compounds in a sodium chloride solution was carried out using only two-dimensional (2D) descriptors as input parameters. The whole set of 101 compounds was split into a training set of 71 compounds and a validation set of 30 compounds by means of the Kennard and Stones algorithm. A general four-parameter equation, with correlation coefficient (R) of 0.887 and standard error of estimation (s) of 0.031, was obtained by stepwise multilinear regression analysis (MLRA) on the training set. The reliability and robustness of the present model was verified with leave-one-out cross-validation, randomization tests, and the external validation set. All of the descriptors contained in this model are calculated directly from the molecular 2D structures; thus, this model can be used to easily predict the K-salt of other compounds not involved in the present dataset.

• 出版日期2016
• 单位武汉纺织大学