[HTML][HTML] Nano-QSAR modeling for predicting the cytotoxicity of metallic and metal oxide nanoparticles: A review

J Li, C Wang, L Yue, F Chen, X Cao, Z Wang - … and Environmental Safety, 2022 - Elsevier
Given the rapid development of nanotechnology, it is crucial to understand the effects of
nanoparticles on living organisms. However, it is laborious to perform toxicological tests on a …

Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs

Y Mu, F Wu, Q Zhao, R Ji, Y Qie, Y Zhou, Y Hu… - …, 2016 - Taylor & Francis
Background: The enormous physicochemical and structural diversity of metal oxide
nanoparticles (MeONPs) poses significant challenges to the testing of their biological …

Computer-aided nanotoxicology: risk assessment of metal oxide nanoparticles via nano-QSAR

J Cao, Y Pan, Y Jiang, R Qi, B Yuan, Z Jia, J Jiang… - Green …, 2020 - pubs.rsc.org
Since the application of nanomaterials has expanded as a therapeutic methodology, the
cytotoxicity accompanying nanomaterials during the therapeutic process has attracted …

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 …

Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-across

A Gajewicz, MTD Cronin, B Rasulev… - …, 2014 - iopscience.iop.org
Creating suitable chemical categories and developing read-across methods, supported by
quantum mechanical calculations, can be an effective solution to solving key problems …

Nano-(Q) SAR for cytotoxicity prediction of engineered nanomaterials

AA Buglak, AV Zherdev, BB Dzantiev - Molecules, 2019 - mdpi.com
Although nanotechnology is a new and rapidly growing area of science, the impact of
nanomaterials on living organisms is unknown in many aspects. In this regard, it is extremely …

Nano-QSAR modeling for predicting the cytotoxicity of metal oxide nanoparticles using novel descriptors

Y Pan, T Li, J Cheng, D Telesca, JI Zink, J Jiang - RSC advances, 2016 - pubs.rsc.org
Computational approaches have evolved as efficient alternatives to understand the adverse
effects of nanoparticles on human health and the environment. The potential of using …

Evaluating metal oxide nanoparticle (MeOx NP) toxicity with different types of nano descriptors mainly focusing on simple periodic table-based descriptors: a mini …

J Roy, K Roy - Environmental Science: Nano, 2023 - pubs.rsc.org
Given the rapid growth of nanotechnology, it is essential to know the hazardous effects of
metal oxide nanoparticles (MeOx NPs) posed to the living organisms within the ecosystem …

Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles

T Puzyn, B Rasulev, A Gajewicz, X Hu… - Nature …, 2011 - nature.com
It is expected that the number and variety of engineered nanoparticles will increase rapidly
over the next few years, and there is a need for new methods to quickly test the potential …

Assessment of toxicity of metal oxide and hydroxide nanoparticles using the QSAR modeling approach

J Roy, K Roy - Environmental Science: Nano, 2021 - pubs.rsc.org
Nowadays, nanotechnology is a promising area of research. Therefore, a detailed
understanding of comprehensive risk assessment of nanomaterials and their behavior to the …