A Monte Carlo method based QSPR model for prediction of reaction rate constants of hydrated electrons with organic contaminants

Abstract

ABSTRACT The Monte Carlo algorithm was applied to formulate a robust quantitative structure–property relationship (QSPR) model to compute the reactions rate constants of hydrated electron values for a data set of 309 water contaminants containing 125 aliphatic and 184 phenyl-based chemicals. The QSPR models were computed with the hybrid optimal descriptors which were procured by combining the SMILES and hydrogen-suppressed molecular graph for both classes of compounds. Approximately 75% of the total experimental data set was randomly divided into training and invisible training sets, while approximately 25% was divided into calibration and validation sets. The authenticity and robustness of the developed QSPR models were also judged by the Index of Ideality of Correlation. In QSPR modelling of aliphatic compounds, the numerical values of , , and were in the range of 0.852–0.905, 0.815–0.894, 0.839–0.897 and 0.737–0.867, respectively. Whereas, in the QSPR modelling of phenyl-based compounds, the numerical values of , , and were in the range of 0.867–0.896, 0.852–0.865, 0.816–0.850 and 0.760–0.762, respectively. The structural attributes, which are promoters of increase/decrease are also extracted from the SMILES notation for mechanistic interpretation. These QSPR models can also be applied to compute the reaction rate constants of organic contaminants.