Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformis

• Published in: Chemosphere (Oxford) Vol. 49; no. 10; pp. 1201 - 1221
• Main Authors: Cronin, Mark T.D, Aptula, Aynur O, Duffy, Judith C, Netzeva, Tatiana I, Rowe, Philip H, Valkova, Iva V, Wayne Schultz, T
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Oxford Elsevier Ltd 01.12.2002; Elsevier
• Subjects: Animals; Biological and medical sciences; Ciliophora; Environmental pollutants toxicology; Forecasting; Freshwater; General aspects; Mechanism of action; Medical sciences; Models, Theoretical; Phenols; Phenols - chemistry; Phenols - toxicity; QSARs; Structure-Activity Relationship; Tetrahymena pyriformis; Toxicity; Toxicology; Water Pollutants, Chemical - toxicity; Phenols; QSARs; Mechanism of action; Toxicity; Tetrahymena pyriformis; Protozoa; Pollutant; Investigation method; Structure activity relation; Environment; Ciliata; Toxicity test
• ISSN: 0045-6535; 1879-1298
• DOI: 10.1016/S0045-6535(02)00508-8

Quantitative structure–activity relationships (QSARs) for the toxicity of 200 phenols to the ciliated protozoan Tetrahymena pyriformis, and the validation of the QSARs using a test set of a further 50 compounds, are reported. The phenols are structurally heterogeneous and represent a variety of mechanisms of toxic action including polar narcosis, weak acid respiratory uncoupling, electrophilicity, and those compounds capable of being metabolised or oxidised to quinones. For each compound, a total of 108 physico-chemical descriptors have been calculated. A variety of methods were utilised to develop QSARs and are compared. The response-surface, or two parameter, approach was found to be successful, but only following the removal of compounds known to form quinones. Stepwise regression produced a seven parameter QSAR with good statistical fit, but was less interpretable and transparent than the response-surface. Partial least squares produced a good model for phenolic toxicity following supervised selection of parameters, this, however, was the least transparent of all approaches attempted. In all approaches, a large number of outliers were observed, typically these were compounds capable of being metabolised to quinones. The strengths and weaknesses of each of the approaches to predict the toxicity of the validation (test) set of phenols to T. pyriformis are discussed.