Abstract
Quantitative structure–activity relationships (QSAR) have been used to study the skin-irritant effect of 84 thietanes. A suitable set of molecular descriptors was calculated and the important descriptors were selected with the aid of the genetic algorithm and stepwise multiple regression methods. On the basis of principal-components analysis the data set was divided into 67 molecules in a training set and 17 molecules in a test set. The models were validated by use of leave-one-out cross-validation, an external test set, and a Y-randomization test. Comparison of the results obtained indicated the superiority of the genetic algorithm over stepwise multiple regression for feature selection. One GA–MLR model with six selected descriptors was obtained. This model could be used to predict the skin-irritant effect of the thietanes, with high statistical significance (R 2training = 0.897, Q 2LOO = 0.872, Q 2LGO = 0.800, F = 87.253, R 2test = 0.921). The results suggest that the number of bonds in the hydrogen-depleted molecule, electronegativity, mass, and neighbors of carbon atoms are the main independent factors contributing to the skin-irritant effect of the thietanes.
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Kakoie Dinaki, I., Zarrineh, M. A quantitative structure–activity relationship study of the skin-irritant effect of thietanes. Monatsh Chem 141, 1321–1328 (2010). https://doi.org/10.1007/s00706-010-0405-2
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DOI: https://doi.org/10.1007/s00706-010-0405-2