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- W2912297579 abstract "Quantitative structure-toxicity relationship (QSTR) models with the same mathematical structure were proposed for predicting the multiple toxicity endpoints of substituted phenols and anilines towards Chlorella vulgaris (C. vulgaris) based on the norm indexes. Four aquatic toxicity endpoints including growth inhibition concentrations of IC50, IC20, LOEC and NOEC towards C. vulgaris were involved in the modeling work. The results indicated that the developed models could produce satisfactory predictive results for the four different toxicity endpoints with high squared correlation coefficients (R2). Leave-one-out cross validation, Y-randomized validation and application domain analysis demonstrated the accuracy, robustness and reliability of these models. Accordingly, the results obtained in this work suggested that it might be possible to develop QSTR models with the same mathematical structure for predicting multiple toxicity endpoints successfully via norm index descriptors." @default.
- W2912297579 created "2019-02-21" @default.
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- W2912297579 date "2019-05-01" @default.
- W2912297579 modified "2023-10-13" @default.
- W2912297579 title "Multiple toxicity endpoint–structure relationships for substituted phenols and anilines" @default.
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- W2912297579 doi "https://doi.org/10.1016/j.scitotenv.2019.01.362" @default.
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