Literature DB >> 18558419

The effect of nitroaromatics' composition on their toxicity in vivo: novel, efficient non-additive 1D QSAR analysis.

V E Kuz'min1, E N Muratov, A G Artemenko, L Gorb, M Qasim, J Leszczynski.   

Abstract

Novel 1D QSAR approach that allows analysis of non-additive effects of molecular fragments on toxicity has been proposed. Twenty-eight nitroaromatic compounds including some well-known explosives have been chosen for this study. The 50% lethal dose concentration for rats (LD50) was used as the estimation of toxicity in vivo to develop 1D QSAR models on the framework of Simplex representation of molecular structure. The results of 1D QSAR analysis show that even the information about the composition of molecules provides the main trends of toxicity changes. The necessity of consideration of substituents' mutual impacts for the development of adequate QSAR models of nitroaromatics' toxicity was demonstrated. Statistic characteristics for all the developed partial least squares QSAR models, except the additive ones are quite satisfactory (R2=0.81-0.92; Q2=0.64-0.83; R2 test=0.84-0.87). A successful performance of such models is due to their non-additivity i.e. possibility of taking into account the mutual influence of substituents in benzene ring which plays the governing role for toxicity change and could be mediated through the different C-H fragments of the ring. The correspondence between observed and predicted by these models toxicity values is good. This allowing combine advantages of such approaches and develop adequate consensus model that can be used as a toxicity virtual screening tool.

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Year:  2008        PMID: 18558419     DOI: 10.1016/j.chemosphere.2008.04.045

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  6 in total

1.  CORAL: QSPR models for solubility of [C60] and [C70] fullerene derivatives.

Authors:  Alla P Toropova; Andrey A Toropov; Emilio Benfenati; Giuseppina Gini; Danuta Leszczynska; Jerzy Leszczynski
Journal:  Mol Divers       Date:  2010-03-27       Impact factor: 2.943

2.  QSAR-modeling of toxicity of organometallic compounds by means of the balance of correlations for InChI-based optimal descriptors.

Authors:  A A Toropov; A P Toropova; E Benfenati
Journal:  Mol Divers       Date:  2009-05-19       Impact factor: 2.943

3.  QSAR analysis of the toxicity of nitroaromatics in Tetrahymena pyriformis: structural factors and possible modes of action.

Authors:  A G Artemenko; E N Muratov; V E Kuz'min; N N Muratov; E V Varlamova; A V Kuz'mina; L G Gorb; A Golius; F C Hill; J Leszczynski; A Tropsha
Journal:  SAR QSAR Environ Res       Date:  2011-06-30       Impact factor: 3.000

4.  Alarms about structural alerts.

Authors:  Vinicius Alves; Eugene Muratov; Stephen Capuzzi; Regina Politi; Yen Low; Rodolpho Braga; Alexey V Zakharov; Alexander Sedykh; Elena Mokshyna; Sherif Farag; Carolina Andrade; Victor Kuz'min; Denis Fourches; Alexander Tropsha
Journal:  Green Chem       Date:  2016-06-28       Impact factor: 10.182

5.  Trust, but verify: on the importance of chemical structure curation in cheminformatics and QSAR modeling research.

Authors:  Denis Fourches; Eugene Muratov; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2010-07-26       Impact factor: 4.956

Review 6.  Nano-(Q)SAR for Cytotoxicity Prediction of Engineered Nanomaterials.

Authors:  Andrey A Buglak; Anatoly V Zherdev; Boris B Dzantiev
Journal:  Molecules       Date:  2019-12-11       Impact factor: 4.411

  6 in total

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