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QSAR modelling for mutagenic potency of heteroaromatic amines by optimal SMILES-based descriptors
Andrey A Toropov1, Alla P Toropova, Emilio Benfenati
1Institute of Geology and Geophysics, 100041 Khodzhibaev St. 49, Tashkent, Uzbekistan. aatoropov@yahoo.com
Abstract:
We used simplified molecular input line entry system to construct optimal descriptors for modelling of the mutagenic potency of heteroaromatic amines by quantitative structure-activity relationships. Statistical characteristics of the model are n = 67, r(2) = 0.8639, r(2) (CV) = 0.8560, s = 0.737, F = 413 (training set); and n = 28, r(2) = 0.8760, r(2) (CV) = 0.8560, s = 0.644, F = 184 (test set). The r(2) (CV) is the cross-validation correlation coefficient.
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