Datasets of the classification and regression models for carcinogenicity proposed in the paper "QSAR models for the human carcinogenicity: an assessment based on oral and inhalation slope factors" by Cosimo Toma1,2, Alberto Manganaro3, Giuseppa Raitano1, Marco Marzo1, Domenico Gadaleta1, Diego Baderna1*, Alessandra Roncaglioni1, Nynke Kramer2, Emilio Benfenati1* 1 Laboratory of Chemistry and Environmental Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milan, Italy 2 Institute for Risk Assessment Sciences (IRAS), Utrecht University, PO Box 80177, 3508 TD Utrecht, the Netherlands 3 Kode Chemoinformatics s.r.l., Pisa, Italy * Correspondence: diego.baderna@marionegri.it Paper is now published on Molecules by MDPI and it is available here DOI:10.3390/molecules26010127 S5 dataset for models based on Oral Slope Factor and S5 dataset for models based on Inhalation Slope Factor. Models were developed under the framework of LIFE-VERMEER project (LIFE 16ENV/IT7000167).

Models were developed under the framework of LIFE-VERMEER project (LIFE 16ENV/IT7000167). Datasets are also available on the VEGA app (https://www.vegahub.eu/download/vega-qsar-download/) Paper available here doi:10.3390/molecules26010127

{"references": ["Toma et al., 2020. QSAR Models for Human Carcinogenicity: An Assessment Based on Oral and Inhalation Slope Factors. Molecules 26(1), doi:10.3390/molecules26010127"]}