Identifying nanodescriptors to predict the toxicity of nanomaterials: a case study on titanium dioxide

Last updated on 14-12-2021 by Jill Alexandre

Public Access


Peer reviewed scientific article




Since the evaluation of nanomaterial (NM) hazards by animal testing is expensive, time-consuming and critical from an ethical point of view, much interest is being given to the development of alternative testing strategies such as computational (predictive) models based on in vitro testing. However, the variations in in vitro experimental conditions can influence the outcome of computational modelling. In this study, we aim to identify nanodescriptor(s) and biological endpoint(s) capable of predicting the toxicity of titanium-di-oxide (TiO2) NMs, and demonstrate how expe…

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