In silico prediction of toxicity and its applications for chemicals at work

KT Rim - Toxicology and environmental health sciences, 2020 - Springer
Objective and methods This study reviewed the concept of in silico prediction of chemical
toxicity for prevention of occupational cancer and future prospects in workers' health. In this …

Nanotoxicology data for in silico tools: a literature review

I Furxhi, F Murphy, M Mullins, A Arvanitis… - Nanotoxicology, 2020 - Taylor & Francis
The exercise of non-testing approaches in nanoparticles (NPs) hazard assessment is
necessary for the risk assessment, considering cost and time efficiency, to identify, assess …

Polystyrene nanoplastic exposure induces developmental toxicity by activating the oxidative stress response and base excision repair pathway in zebrafish (Danio …

M Feng, J Luo, Y Wan, J Zhang, C Lu, M Wang… - ACS …, 2022 - ACS Publications
The widespread accumulation of nanoplastics is a growing concern for the environmental
and human health. However, studies on the mechanisms of nanoplastic-induced …

[HTML][HTML] Silver nanoparticles induce developmental toxicity via oxidative stress and mitochondrial dysfunction in zebrafish (Danio rerio)

C Lu, Y Lv, G Kou, Y Liu, Y Liu, Y Chen, X Wu… - Ecotoxicology and …, 2022 - Elsevier
Sliver nanoparticles (AgNPs) are widely used in industry, agriculture, and medicine,
potentially resulting in adverse effects on human health and aquatic environments. Here, we …

Considerations of nano-QSAR/QSPR models for nanopesticide risk assessment within the European legislative framework

JJ Villaverde, B Sevilla-Morán, C López-Goti… - Science of the Total …, 2018 - Elsevier
The European market for pesticides is currently legislated through the well-developed
Regulation (EC) No. 1107/2009. This regulation promotes the competitiveness of European …

Making use of available and emerging data to predict the hazards of engineered nanomaterials by means of in silico tools: A critical review

G Basei, D Hristozov, L Lamon, A Zabeo, N Jeliazkova… - NanoImpact, 2019 - Elsevier
The heterogeneity of engineered nanomaterials (NMs), with respect to physicochemical
properties and observed (eco) toxicological effects, makes their case-by-case testing for …

How to judge whether QSAR/read-across predictions can be trusted: a novel approach for establishing a model's applicability domain

A Gajewicz - Environmental Science: Nano, 2018 - pubs.rsc.org
The EU REACH legislation, the OECD and US EPA official guidance documents, as well as
the 3Rs principle (replacement, reduction, refinement of animal testing), all advocate the …

What if the number of nanotoxicity data is too small for developing predictive Nano-QSAR models? An alternative read-across based approach for filling data gaps

A Gajewicz - Nanoscale, 2017 - pubs.rsc.org
Over the past decade, computational nanotoxicology, in particular Quantitative Structure–
Activity Relationship models (Nano-QSAR) that help in assessing the biological effects of …

Decision tree models to classify nanomaterials according to the DF4nanoGrouping scheme

A Gajewicz, T Puzyn, K Odziomek, P Urbaszek… - …, 2018 - Taylor & Francis
To keep pace with its rapid development an efficient approach for the risk assessment of
nanomaterials is needed. Grouping concepts as developed for chemicals are now being …

NANO. PTML model for read-across prediction of nanosystems in neurosciences. computational model and experimental case of study

S He, K Nader, JS Abarrategi, H Bediaga… - Journal of …, 2024 - Springer
Neurodegenerative diseases involve progressive neuronal death. Traditional treatments
often struggle due to solubility, bioavailability, and crossing the Blood-Brain Barrier (BBB) …