QSAR model for cytotoxicity of SiO2 nanoparticles on human lung fibroblasts

Alla P. Toropova, Andrey A. Toropov, Emilio Benfenati, Rafi Korenstein

Research output: Contribution to journalArticlepeer-review

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 2â€.

Original languageEnglish
Article number2282
JournalJournal of Nanoparticle Research
Volume16
Issue number2
DOIs
Publication statusPublished - Feb 2014

Keywords

  • CORAL software
  • Health effects
  • Modeling and simulation
  • Optimal descriptor
  • QSAR
  • SiO nanoparticle

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Modelling and Simulation
  • Chemistry(all)
  • Materials Science(all)
  • Bioengineering

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