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Machine learning-based models to predict modes of toxic action of phenols to Tetrahymena pyriformis
ArticleAbstract: The phenols are structurally heterogeneous pollutants and they present a variety of modes of toxic aPalabras claves:Machine learning technique, mode of toxic action, molecular descriptor, phenol derivative, Pollutant, QSARAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Torreblanca A., Torrens F.Fuentes:scopusPrediction of aquatic toxicity of benzene derivatives to tetrahymena pyriformis according to OECD principles
ReviewAbstract: Background: Many QSAR studies have been developed to predict acute toxicity over several biomarkersPalabras claves:Aquatic toxicology, Atom-based non-stochastic and stochastic linear indices, ecotoxicity, QSAR, Tetrahymena pyriformisAutores:Abad C., Garit J., Gerardo M. Casañola-Martin, Stephen Jones Barigye, Torreblanca A., Torrens F.Fuentes:scopus