@article{d853ff8da44a44a793f726dc9f6ff505,
title = "QSAR model for cytotoxicity of SiO2 nanoparticles on human lung fibroblasts",
abstract = "The possibility of building up predictive model for cytotoxicity of SiO2-nanoparticles (SiO2-NPs) by means of so-called optimal descriptors which are mathematical functions of size and concentration of SiO2-NPs is demonstrated with data on sixteen systems' {"}size-concentration.{"} The calculation has been carried out by means of the CORAL software (http://www.insilico.eu/coral/). The statistical quality of the best model for the cytotoxic inhibition ratio (%) of human lung fibroblasts cultured in the media containing different concentrations of SiO 2{\^a}€.",
keywords = "CORAL software, Health effects, Modeling and simulation, Optimal descriptor, QSAR, SiO nanoparticle",
author = "Toropova, {Alla P.} and Toropov, {Andrey A.} and Emilio Benfenati and Rafi Korenstein",
note = "Funding Information: Acknowledgments The authors thank EU FP7 project PreNanoTox (contract 309666) for financial support.",
year = "2014",
month = feb,
doi = "10.1007/s11051-014-2282-9",
language = "אנגלית",
volume = "16",
journal = "Journal of Nanoparticle Research",
issn = "1388-0764",
publisher = "Springer Netherlands",
number = "2",
}