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QSAR model for cytotoxicity of SiO2 nanoparticles on human lung fibroblasts

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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 SiO2‐NPs which is measured by MTT assay is the following: n = 10, r 2 = 0.9837, s = 2.53 %, F = 483 (training set) and n = 6, r 2 = 0.9269, s = 7.94 % (test set). The perspectives of this approach are discussed.

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Acknowledgments

The authors thank EU FP7 project PreNanoTox (contract 309666) for financial support.

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Authors and Affiliations

  1. Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa 19, 20156, Milan, Italy

    Alla P. Toropova, Andrey A. Toropov & Emilio Benfenati

  2. Department of Physiology and Pharmacology, Faculty of Medicine, Tel-Aviv University, 69978, Tel-Aviv, Israel

    Rafi Korenstein

Authors
  1. Alla P. Toropova
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  2. Andrey A. Toropov
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  3. Emilio Benfenati
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  4. Rafi Korenstein
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Correspondence to Andrey A. Toropov.

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Toropova, A.P., Toropov, A.A., Benfenati, E. et al. QSAR model for cytotoxicity of SiO2 nanoparticles on human lung fibroblasts. J Nanopart Res 16, 2282 (2014). https://doi.org/10.1007/s11051-014-2282-9

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  • DOI: https://doi.org/10.1007/s11051-014-2282-9

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