Schultz, T.W.; Carlson, R.E.; Cronin, M.T.D.; Hermens, J.L.M.; Johnson, R.; O’Brien, P.J.; Roberts, D.W.; Siraki, A.; Wallace, K.B.; Veith, G.D. A conceptual framework for predicting the toxicity of reactive chemicals: modeling soft electrophilicity. SAR QSAR Environ. Res. 2006, 17, 413–428.

Related documents

• Bhhatarai, B.; Gramatica, P. Oral LD50 toxicity modeling and prediction of per- and polyfluorinated chemicals on rat and mouse. Mol. Diversity 2010, 15, 467–476.#933246
• Ren, S.; Frymier, P.D.; Schultz, T.W. An exploratory study of the use of multivariate techniques to determine mechanisms of toxic action. Ecotoxicol. Environ. Saf. 2003, 55, 1, 86–97.#933247
• Khajeh, A.; Modarress, H. Quantitative Structure–Property Relationship for Flash Points of Alcohols. Ind. Eng. Chem. Res. 2011, 50, 11337-11342.#933248
• Oja, M.; Maran, U. pH-permeability profiles for drug substances: Experimental detection, comparison with human intestinal absorption and modelling. Eur. J. Pharm. Sci. 2018, 123, 429-440.#933249
• Piir, G.; Sild, S.; Maran, U. Classifying bio-concentration factor with random forest algorithm, influence of the bio-accumulative vs. non-bio-accumulative compound ratio to modelling result, and applicability domain for random forest model. SAR QSAR Environ. Res. 2014, 25, 967-981.#933250