Literature DB >> 28169452

In vivo toxicity of nitroaromatics: A comprehensive quantitative structure-activity relationship study.

Aminah Gooch1, Natalia Sizochenko1, Bakhtiyor Rasulev1,2, Leonid Gorb1,3, Jerzy Leszczynski1.   

Abstract

The toxicity data of 90 nitroaromatic compounds related to their 50% lethal dose concentration for rats (LD50) were analyzed to develop quantitative structure-activity relationship (QSAR) models. Quantum-chemically calculated descriptors together with molecular descriptors generated by DRAGON, PaDEL, and HiT-QSAR software were utilized to build QSAR models. Quality and validity of the models were determined by internal and external validation techniques. The results show that the toxicity of nitroaromatic compounds depends on various factors, such as the number of nitro-groups, the topological state, and the presence of certain structural fragments. The developed models based on the largest (to date) dataset of nitroaromatics in vivo toxicity showed a good predictive ability. The results provide important input that could be applied in a preliminary assessment of nitroaromatic compounds' toxicity to mammals. Environ Toxicol Chem 2017;36:2227-2233.
© 2017 SETAC. © 2017 SETAC.

Entities:  

Keywords:  Molecular descriptor; Nitroaromatic; Quantitative structure-activity relationships; Toxic effects; Toxicity mechanisms

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Year:  2017        PMID: 28169452     DOI: 10.1002/etc.3761

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  2 in total

1.  QSAR modeling in ecotoxicological risk assessment: application to the prediction of acute contact toxicity of pesticides on bees (Apis mellifera L.).

Authors:  Mabrouk Hamadache; Othmane Benkortbi; Salah Hanini; Abdeltif Amrane
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-24       Impact factor: 4.223

2.  Estimation of the Toxicity of Different Substituted Aromatic Compounds to the Aquatic Ciliate Tetrahymena pyriformis by QSAR Approach.

Authors:  Feng Luan; Ting Wang; Lili Tang; Shuang Zhang; M Natália Dias Soeiro Cordeiro
Journal:  Molecules       Date:  2018-04-24       Impact factor: 4.411

  2 in total

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