| review article | Q7318358 |
| scholarly article | Q13442814 |
| P50 | author | Irini Furxhi | Q92131000 |
| P2093 | author name string | Craig A Poland | |
| Finbarr Murphy | |||
| Martin Mullins | |||
| Athanasios Arvanitis | |||
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| Multivariate statistical analysis for selecting optimal descriptors in the toxicity modeling of nanomaterials | Q62630122 | ||
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| Meta-Analysis of Nanoparticle Cytotoxicity via Data-Mining the Literature | Q69534939 | ||
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| Computational design of novel fullerene analogues as potential HIV-1 PR inhibitors: Analysis of the binding interactions between fullerene inhibitors and HIV-1 PR residues using 3D QSAR, molecular docking and molecular dynamics simulations | Q79815209 | ||
| Comparative studies on some metrics for external validation of QSPR models | Q83142287 | ||
| Characterization of translocation of silver nanoparticles and effects on whole-genome gene expression using an in vitro intestinal epithelium coculture model | Q83824530 | ||
| Intelligent testing strategy and analytical techniques for the safety assessment of nanomaterials | Q88089516 | ||
| Screening Priority Factors Determining and Predicting the Reproductive Toxicity of Various Nanoparticles | Q90610065 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 1 | |
| P921 | main subject | machine learning | Q2539 |
| P577 | publication date | 2020-01-08 | |
| P1433 | published in | Nanomaterials | Q27724944 |
| P1476 | title | Practices and Trends of Machine Learning Application in Nanotoxicology | |
| P478 | volume | 10 |
| Q109728940 | A Weight of Evidence approach to classify nanomaterials according to the EU Classification, Labelling and Packaging Regulation criteria |
| Q122638212 | A data reusability assessment in the nanosafety domain based on the NSDRA framework followed by an exploratory quantitative structure activity relationships (QSAR) modeling targeting cellular viability |
| Q112210916 | A methodology for the automatic evaluation of data quality and completeness of nanomaterials for risk assessment purposes |
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