Literature DB >> 1344212

QSARs for monosubstituted phenols and the polar narcosis mechanism of toxicity.

T W Schultz1, D T Lin, S K Wesley.   

Abstract

Eighty 2-, 3-, and 4-position monosubstituted phenols representing various substituents were evaluated for relative toxicity, log IGC50(-1), with a short-term static protocol in the Tetrahymena population growth inhibition bioassay. Quantitative structure-activity relationships (QSAR) were examined using the 1-octanol/water partition coefficient (log K(ow)) and ionization constant (pKa) as independent variables. Four derivatives did not elicit the measured response at saturation. Five derivatives revealed altered high-performance liquid chromatography spectra with time. None of these derivatives were included in QSAR development. In addition, the carboxyl and nitroso derivatives were detected as statistical outliers. The model log IGC50(-1) = 0.6655 (log K(ow)) - 0.1464 (pKa) + 0.2206, n = 67, r2 = 0.909, s = 0.212, was found to be an excellent predictor of activity of phenols which elicit their toxic response by the polar narcosis mode of action. For the most part the tested derivatives showed little abiotic loss over the duration of the bioassay.

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Year:  1992        PMID: 1344212

Source DB:  PubMed          Journal:  Qual Assur        ISSN: 1052-9411


  3 in total

1.  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

2.  Model-based QSAR for ionizable compounds: toxicity of phenols against Tetrahymena pyriformis.

Authors:  K Pirselová; S Baláz; T W Schultz
Journal:  Arch Environ Contam Toxicol       Date:  1996-02       Impact factor: 2.804

3.  From data point timelines to a well curated data set, data mining of experimental data and chemical structure data from scientific articles, problems and possible solutions.

Authors:  Villu Ruusmann; Uko Maran
Journal:  J Comput Aided Mol Des       Date:  2013-07-25       Impact factor: 3.686

  3 in total

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