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Improved building up a model of toxicity towards Pimephales promelas by the Monte Carlo method

Publication at First Faculty of Medicine |
2016

Abstract

By optimization of so-called correlation weights of attributes of simplified molecular input-line entry system (SMILES) quantitative structure - activity relationships (QSAR) for toxicity towards Pimephales promelas are established. A new SMILES attribute has been utilized in this work.

This attribute is a molecular descriptor, which reflects (i) presence of different kinds of bonds (double, triple, and stereo chemical bonds); (ii) presence of nitrogen, oxygen, sulphur, and phosphorus atoms; and (iii) presence of fluorine, chlorine, bromine, and iodine atoms. The statistical characteristics of the best model are the following: n =226, r(2) = 0.7630, RMSE = 0.654 (training set); n = 114, r(2) = 0.7024, RMSE= 0.766 (calibration set); n = 226, r(2) = 0.6292, RMSE = 0.870 (validation set).

A new criterion to select a preferable split into the training and validation sets are suggested and discussed.