A Nano-QSTR model to predict nano-cytotoxicity: an approach using human lung cells data.

"table s3 dataset with calculated nano-descriptors.; table s4 dataset for modelling after the filtering step.; table s7 dataset assuming data normalization by enms surface area.; figure s4 dataset overview (a) (b) and (c) diversity of a set of nano-descriptors obtained from the elemental descriptor calculator; (e) (f) and (g) cell viability (%) variation trend with representative examples of each nano-descriptor."

"Declarations Ethics approval and consent to participateNot applicable. Consent for publicationNot applicable. Competing interestsThe authors declare no conflict of interest. Competing interests The authors declare no conflict of interest."

"Funding This research was funded by the European Union’s H2020 project Sinfonia (N.857253). SbDToolBox, with reference NORTE-01-0145-FEDER-000047, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund."