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A regression-based QSAR-model to predict acute toxicity of aromatic chemicals in tadpoles of the Japanese brown frog (Rana japonica): Calibration, validation, and future developments to support risk assessment of chemicals in amphibians.
Toropov AA, Di Nicola MR, Toropova AP, Roncaglioni A, Carnesecchi E, Kramer NI, Williams AJ, Ortiz-Santaliestra ME, Benfenati E, Dorne JCM. Toropov AA, et al. Among authors: benfenati e. Sci Total Environ. 2022 Jul 15;830:154795. doi: 10.1016/j.scitotenv.2022.154795. Epub 2022 Mar 25. Sci Total Environ. 2022. PMID: 35341855 Free PMC article.
Factors influencing predictive models for toxicology.
Benfenati E, Piclin N, Roncaglioni A, Varì MR. Benfenati E, et al. SAR QSAR Environ Res. 2001;12(6):593-603. doi: 10.1080/10629360108039836. SAR QSAR Environ Res. 2001. PMID: 11813807
Identification of the structural requirements of the receptor-binding affinity of diphenolic azoles to estrogen receptors alpha and beta by three-dimensional quantitative structure-activity relationship and structure-activity relationship analysis.
Demyttenaere-Kovatcheva A, Cronin MT, Benfenati E, Roncaglioni A, Lopiparo E. Demyttenaere-Kovatcheva A, et al. Among authors: benfenati e. J Med Chem. 2005 Dec 1;48(24):7628-36. doi: 10.1021/jm050604j. J Med Chem. 2005. PMID: 16302803
QSAR model for predicting pesticide aquatic toxicity.
Mazzatorta P, Smiesko M, Lo Piparo E, Benfenati E. Mazzatorta P, et al. Among authors: benfenati e. J Chem Inf Model. 2005 Nov-Dec;45(6):1767-74. doi: 10.1021/ci050247l. J Chem Inf Model. 2005. PMID: 16309283
402 results