Literature DB >> 16710810

Structure-toxicity relationships of nitroaromatic compounds.

Olexandr Isayev1, Bakhtiyor Rasulev, Leonid Gorb, Jerzy Leszczynski.   

Abstract

The toxicity data of 28 nitroaromatic compounds (nitrobenzenes and, for comparison, benzene and toluene) related to a 50% lethal dose concentration for rats (LD50) were used to develop quantitative structure-activity relationships (QSARs).A genetic algorithm and multiple regression analysis were applied to select the descriptors and to generate the correlation models. The obtained equations consist of one to three descriptors. A number of molecular descriptors was obtained from HF/6-31G(d) and DFT (B3LYP/6-311+G(d, p)) level calculations. The calculated molecular geometry and electronic properties were evaluated by comparison with the available experimental data (where applicable). All parameters obtained at the B3LYP/6-311+G(d, p) level and the topological descriptors derived from this geometry were found to be reliable, except for dipole moment, due to the large uncertainty of its estimation. Satisfactory relationships were observed for the one-parameter structure-toxicity models between topological (X5Av, Ms) and quantum-chemical (ELUMO) descriptors. For better predictability two- and three-parameter QSAR analyses were performed. These analyses resulted in much better equations with correlation coefficient values r = 0.872-0.924. These models have been obtained with a set of topological, fragment and quantum-chemical descriptors (Ms, PCR, PCD, BELe1, C-026 and ELUMO). The toxicity of nitroaromatic compounds appears to be governed by a number of factors, such as the number of nitrogroups, the electrotopological state, the presence of certain fragments and the electrophilicity/reactivity parameter (ELUMO). Nitrobenzenes exhibited electrophilic reactivity (as was shown by correlation of the toxicity with the energy of the lowest unoccupied orbital, ELUMO). The toxicity LD50 parameter for rats has been utilized for the first time for QSAR analysis of nitrobenzenes. The predictive ability of the models is determined by a cross-validation "leave-one-out" method.

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Year:  2006        PMID: 16710810     DOI: 10.1007/s11030-005-9002-4

Source DB:  PubMed          Journal:  Mol Divers        ISSN: 1381-1991            Impact factor:   2.943


  16 in total

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Authors:  D J Livingstone; M G Ford; J J Huuskonen; D W Salt
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Review 2.  Computer-modeling-based QSARs for analyzing experimental data on biotransformation and toxicity.

Authors:  A E Soffers; M G Boersma; W H Vaes; J Vervoort; B Tyrakowska; J L Hermens; I M Rietjens
Journal:  Toxicol In Vitro       Date:  2001 Aug-Oct       Impact factor: 3.500

3.  Estimation of water solubility from atom-type electrotopological state indices.

Authors:  J Huuskonen
Journal:  Environ Toxicol Chem       Date:  2001-03       Impact factor: 3.742

4.  Mechanism of uncoupling of oxidative phosphorylation by nitrophenols.

Authors:  E C SLATER
Journal:  Comp Biochem Physiol       Date:  1962-10

5.  Relation between the substituent effect and aromaticity.

Authors:  Tadeusz M Krygowski; Krzysztof Ejsmont; Beata T Stepień; Michał K Cyrański; Jordi Poater; Miquel Solà
Journal:  J Org Chem       Date:  2004-10-01       Impact factor: 4.354

6.  Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.

Authors: 
Journal:  Phys Rev B Condens Matter       Date:  1988-01-15

7.  Molecular orbital parameters as predictors of skin sensitization potential of halo- and pseudohalobenzenes acting as SNAr electrophiles.

Authors:  O Mekenyan; D W Roberts; W Karcher
Journal:  Chem Res Toxicol       Date:  1997-09       Impact factor: 3.739

8.  Quantitative structure-activity analysis of the algae toxicity of nitroaromatic compounds.

Authors:  H Schmitt; R Altenburger; B Jastorff; G Schüürmann
Journal:  Chem Res Toxicol       Date:  2000-06       Impact factor: 3.739

9.  Toxicity of N-substituted aromatics to acetoclastic methanogenic activity in granular sludge.

Authors:  B A Donlon; E Razo-Flores; J A Field; G Lettinga
Journal:  Appl Environ Microbiol       Date:  1995-11       Impact factor: 4.792

10.  Different metabolic pathways of 2,5-difluoronitrobenzene and 2,5-difluoroaminobenzene compared to molecular orbital substrate characteristics.

Authors:  I M Rietjens; N H Cnubben; M van Haandel; B Tyrakowska; A E Soffers; J Vervoort
Journal:  Chem Biol Interact       Date:  1995-01       Impact factor: 5.192

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  5 in total

1.  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

2.  The effects of characteristics of substituents on toxicity of the nitroaromatics: HiT QSAR study.

Authors:  Victor E Kuz'min; Eugene N Muratov; Anatoly G Artemenko; Leonid Gorb; Mohammad Qasim; Jerzy Leszczynski
Journal:  J Comput Aided Mol Des       Date:  2008-04-02       Impact factor: 3.686

3.  Theoretical studies on pyrimidine substituent derivatives as dual inhibitors of AP-1 and NF-kappaB.

Authors:  Li Qian; Si-Yan Liao; Zu-Liang Huang; Yong Shen; Kang-Cheng Zheng
Journal:  J Mol Model       Date:  2009-11-27       Impact factor: 1.810

4.  Structure-activity models of oral clearance, cytotoxicity, and LD50: a screen for promising anticancer compounds.

Authors:  John C Boik; Robert A Newman
Journal:  BMC Pharmacol       Date:  2008-06-13

5.  Synthesis, structure and toxicity evaluation of ethanolamine nitro/chloronitrobenzoates: a combined experimental and theoretical study.

Authors:  Manuela Crisan; Liliana Halip; Paulina Bourosh; Sergiu Adrian Chicu; Yurii Chumakov
Journal:  Chem Cent J       Date:  2017-12-06       Impact factor: 4.215

  5 in total

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