AIMC Topic: Toxicity Tests
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Design and validation of an ontology-driven animal-free testing strategy for developmental neurotoxicity testing.
Toxicology and applied pharmacology
Mar 13, 2018
Developmental neurotoxicity entails one of the most complex areas in toxicology. Animal studies provide only limited information as to human relevance. A multitude of alternative models have been developed over the years, providing insights into mech...
Preliminary investigation on cytotoxicity of fluorinated polymer nanoparticles.
Journal of environmental sciences (China)
Nov 7, 2017
As well-known persistent organic pollutants (POPs), organofluorine pollutants such as perfluorooctane sulfonate (PFOS) have been proven to be bioaccumulated and harmful to health. However, toxicological assessment of organofluorinated nanoparticles, ...
Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction.
Journal of chemical information and modeling
Oct 27, 2017
Median lethal death, LD, is a general indicator of compound acute oral toxicity (AOT). Various in silico methods were developed for AOT prediction to reduce costs and time. In this study, we developed an improved molecular graph encoding convolutiona...
Predicting Organ Toxicity Using in Vitro Bioactivity Data and Chemical Structure.
Chemical research in toxicology
Oct 9, 2017
Animal testing alone cannot practically evaluate the health hazard posed by tens of thousands of environmental chemicals. Computational approaches making use of high-throughput experimental data may provide more efficient means to predict chemical to...
Probing the toxicity of nanoparticles: a unified in silico machine learning model based on perturbation theory.
Nanotoxicology
Sep 22, 2017
Nanoparticles (NPs) are part of our daily life, having a wide range of applications in engineering, physics, chemistry, and biomedicine. However, there are serious concerns regarding the harmful effects that NPs can cause to the different biological ...
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction.
Journal of chemical information and modeling
Jul 25, 2017
The task of learning an expressive molecular representation is central to developing quantitative structure-activity and property relationships. Traditional approaches rely on group additivity rules, empirical measurements or parameters, or generatio...
Allium cepa root tip assay in assessment of toxicity of magnesium oxide nanoparticles and microparticles.
Journal of environmental sciences (China)
May 12, 2017
Allium cepa bioassay had been used from decades for the assessment of toxicants and their harmful effects on environment as well as human health. Magnesium oxide (MgO) particles are being utilized in different fields. However, reports on the adverse ...
Epithelial-mesenchymal transition effect of fine particulate matter from the Yangtze River Delta region in China on human bronchial epithelial cells.
Journal of environmental sciences (China)
May 9, 2017
Epidemiological studies have demonstrated that fine particulate matter (PM) exposure causes airway inflammation, which may lead to lung cancer. The activation of epithelial-mesenchymal transition (EMT) is assumed to be a crucial step in lung tumor me...
The way to cover prediction for cytotoxicity for all existing nano-sized metal oxides by using neural network method.
Nanotoxicology
Apr 12, 2017
The regulatory agencies should fulfil the data gap in toxicity for new chemicals including nano-sized compounds, like metal oxides nanoparticles (MeO NPs) according to the registration, evaluation, authorisation and restriction of chemicals (REACH) l...
Toward a systematic exploration of nano-bio interactions.
Toxicology and applied pharmacology
Mar 24, 2017
Many studies of nanomaterials make non-systematic alterations of nanoparticle physicochemical properties. Given the immense size of the property space for nanomaterials, such approaches are not very useful in elucidating fundamental relationships bet...
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