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QSAR Modelling for Mutagenic Potency of Heteroaromatic Amines by Optimal SMILES‐based Descriptors

Andrey A. ToropovInstitute of Geology and Geophysics, 100041 Khodzhibaev St. 49, Tashkent, Uzbekistan. [email protected]Alla P. ToropovaInstitute of Geology and Geophysics, 100041, Khodzhibaev St. 49, Tashkent, UzbekistanEmilio BenfenatiIstituto di Ricerche Farmacologiche Mario Negri, 20156, Via La Masa 19, Milano, Italy
2009en
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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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