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

. 2016 Dec ; 48 () : 278-285. [epub] 20161111

Jazyk angličtina Země Nizozemsko Médium print-electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid27863338
Odkazy

PubMed 27863338
DOI 10.1016/j.etap.2016.11.010
PII: S1382-6689(16)30298-8
Knihovny.cz E-zdroje

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, r2=0.7630, RMSE=0.654 (training set); n=114, r2=0.7024, RMSE=0.766 (calibration set); n=226, r2=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.

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