18 results on '"Puzyn T"'
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2. Global versus local QSAR models for predicting ionic liquids toxicity against IPC-81 leukemia rat cell line: The predictive ability
3. Chemometric analysis of correlations between electronic absorption characteristics and structural and/or physicochemical parameters for ampholytic substances of biological and pharmaceutical relevance
4. P19-83 Employing QSAR modeling for regulatory assessment of TiO2 nanoparticle safety
5. P05-14 Comprehensive in vitro/in silico approach for screening PFAS in terms of their potency of interfering with the thyroid system (TTR- TRβ CALUX assay)
6. P05-07 Physicochemical properties and transcriptomic pathways analysis of TiO2 nanoparticles exposure through computer-aided approaches to provide a new öook at their pulmonary safety
7. OS02-05 In silico NAMs for nanoforms: how far we are?
8. Achievements and perspectives of computational nanotoxicology.
9. How do the existing read-across frameworks work for nanomaterials?
10. In silico unravelling of descriptors for cytotoxicity and genotoxicity for hazard identification of nanomaterials.
11. Standardisation of mutagenicity testing approaches, tailored to the evaluation of engineered nanomaterials.
12. How to use AOP to prioritize NanoQSAR model development?
13. Reliability of environmental fate modeling results for POPs based on various methods of determining the air/water partition coefficient (log K AW).
14. How the EMMC MODA can be used for physic-based and data-based models for risk assessment?
15. Application of QSAR modeling to predict the toxicity of nanomaterials - principles of obtaining reliable and valuable results.
16. The differences in the 2D and 3D cytotoxicity testing results -an in silico approach.
17. Web application to predict the 'Agranulocyte adhesion pathway and diapedesis' in AOP 173 induced by MWCNTs.
18. Classification nano-SAR modeling of metal oxides nanoparticles genotoxicity based on comet assay data.
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