Literature DB >> 8790624

Quantitative relationships of structure-activity and volume fraction for selected nonpolar and polar narcotic chemicals.

J S Jaworska1, T W Schultz.   

Abstract

The relative toxicity of selected industrial organic chemicals was secured from the literature for the static 48-h Tetrahymena pyriformis 50% population growth impairment and the flow-through 96-h Pimephales promelas 50% mortality endpoints. Chemicals were selected to represent the nonpolar narcosis (aliphatic alcohols and aliphatic ketones) and polar narcosis (anilines and phenols) mechanisms of toxic action. molar volume (MV) and 1-octanol/water partition coefficient (log Kow) data were generated for each chemical. High-quality, log Kow dependent quantitative structure-activity relationships were observed for each chemical class and mechanism of action for both endpoints. The volume fraction (Vf) for each chemical in the target phase was determined from the toxicant concentration in the water (toxicity data), the MV, and the target/water partition coefficient (Ktw) with Ktw considered equal to Kow (1-a). Analyses of target sites, by way of "a" revealed that "a" was constant for a mechanism of action regardless of chemical class, but distinct for a given test system. Mean Vt was constant for each mechanism of action regardless of chemical class or test system. These results suggest, at least for reversible physical mechanisms, that volume fraction analyses are significant in determining the mechanism of toxic action of a chemical.

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Year:  1993        PMID: 8790624     DOI: 10.1080/10629369308028812

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  4 in total

Review 1.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

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

4.  Quantitative structure-toxicity relationships and volume fraction analyses for selected esters.

Authors:  J S Jaworska; R S Hunter; T W Schultz
Journal:  Arch Environ Contam Toxicol       Date:  1995-07       Impact factor: 2.804

  4 in total

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