The way to cover prediction for cytotoxicity for all existing nano-sized metal oxides by using neural network method

International regulatory needs for development ofan IATA for non-genotoxic carcinogenic chemical substances

(2016) Miriam Jacobs   ALTEX-Alternatives to Animal Experimentation

Toxicity of Metal Oxide Nanoparticles in Escherichia coli Correlates with Conduction Band and Hydration Energies

(2015) Chitrada Kaweeteerawat et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: A mechanistic QSTR approach

(2014) Supratik Kar et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Computational ecotoxicology: Simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions

(2014) Valeria V. Kleandrova et al.   ENVIRONMENT INTERNATIONAL

Computational Tool for Risk Assessment of Nanomaterials: Novel QSTR-Perturbation Model for Simultaneous Prediction of Ecotoxicity and Cytotoxicity of Uncoated and Coated Nanoparticles under Multiple Experimental Conditions

(2014) Valeria V. Kleandrova et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides

(2014) Alla P. Toropova et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Computer-aided nanotoxicology: assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach

(2014) Feng Luan et al.   Nanoscale

From basic physics to mechanisms of toxicity: the “liquid drop” approach applied to develop predictive classification models for toxicity of metal oxide nanoparticles

(2014) Natalia Sizochenko et al.   Nanoscale

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

(2014) Agnieszka Gajewicz et al.   NANOTECHNOLOGY

Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: Hints from nano-QSAR studies

(2014) Agnieszka Gajewicz et al.   Nanotoxicology

Nano-QSAR modeling for predicting biological activity of diverse nanomaterials

(2014) Kunwar P. Singh et al.   RSC Advances

Using experimental data of Escherichia coli to develop a QSAR model for predicting the photo-induced cytotoxicity of metal oxide nanoparticles

(2013) Kavitha Pathakoti et al.   JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY

Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli

(2012) Andrey A. Toropov et al.   CHEMOSPHERE

Concerning electronegativity as a basic elemental property and why the periodic table is usually represented in its medium form

(2012) Mark R. Leach   Foundations of Chemistry

Evaluating the applicability domain in the case of classification predictive models for carcinogenicity based on the counter propagation artificial neural network

(2011) Natalja Fjodorova et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

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

(2011) Tomasz Puzyn et al.   Nature Nanotechnology

In vitro evaluation of cytotoxicity of engineered metal oxide nanoparticles

(2009) Xiaoke Hu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Toward the Development of “Nano-QSARs”: Advances and Challenges

(2009) Tomasz Puzyn et al.   Small

Chemical stability of metallic nanoparticles: A parameter controlling their potential cellular toxicity in vitro

(2008) Mélanie Auffan et al.   ENVIRONMENTAL POLLUTION

Verification of the geological origin of bottled mineral water using artificial neural networks

(2008) Neva Grošelj et al.   FOOD CHEMISTRY