Literature DB >> 19207466

QSAR modelling for mutagenic potency of heteroaromatic amines by optimal SMILES-based descriptors.

Andrey A Toropov1, Alla P Toropova, Emilio Benfenati.   

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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Year:  2009        PMID: 19207466     DOI: 10.1111/j.1747-0285.2009.00778.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  3 in total

1.  QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations.

Authors:  A A Toropov; A P Toropova; E Benfenati; A Manganaro
Journal:  Mol Divers       Date:  2009-08-14       Impact factor: 2.943

2.  QSAR modeling for predicting mutagenic toxicity of diverse chemicals for regulatory purposes.

Authors:  Nikita Basant; Shikha Gupta
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-24       Impact factor: 4.223

3.  New public QSAR model for carcinogenicity.

Authors:  Natalja Fjodorova; Marjan Vracko; Marjana Novic; Alessandra Roncaglioni; Emilio Benfenati
Journal:  Chem Cent J       Date:  2010-07-29       Impact factor: 4.215

  3 in total

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