QSAR model for cytotoxicity of SiO2 nanoparticles on human lung fibroblasts
Source abstract
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, r2 = 0.9837, s = 2.53 %, F = 483 (training set) and n = 6, r2 = 0.9269, s = 7.94 % (test set). The perspectives of this approach are discussed.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Computational Drug Discovery Methods · Nanoparticles: synthesis and applications · thermodynamics and calorimetric analyses
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (49)
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