QSAR-based toxicity classification and prediction for single and mixed aromatic compounds.
Quantitative structure-activity relationships (QSARs) based on the octanol/water partition coefficient were employed to predict acute toxicities of 36 substituted aromatic compounds and their mixtures. In this study, the model developed by Verhaar et al. was modified and used to calculate octano/water partition coefficients of chemical mixtures. To validate the model, acute toxicities of these chemicals were measured to Vibrio fischeri in terms of EC50. The results indicated that the obtained QSAR models could be used to predict toxicities of samples consi sting of these substituted aromatic compounds, individually or in combinations. The obtained equations were proved to be robust enough by using the leave-one-out test method. By classifying these chemicals into two groups, polar and non-polar, the toxicities of chemical mixtures within each group can be predicted accurately from their calculated partition coefficients.
Wei
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DB
Department of Environmental Science and Engineering, ESPC State Key Joint Laboratory, Tsinghua University, Beijing 100084, People's Republic of China.
Zhai
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LH
Hu
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HY
D004785:Environmental Pollutants / Q000633:toxicity*; D005544:Forecasting; D006841:Hydrocarbons, Aromatic / Q000633:toxicity*; D007928:Lethal Dose 50; D000442:Octanols / Q000737:chemistry; D021281:Quantitative Structure-Activity Relationship; D012995:Solubility; D012997:Solvents / Q000737:chemistry; D014733:Vibrio
D004785:Environmental Pollutants; D006841:Hydrocarbons, Aromatic; D000442:Octanols; D012997:Solvents