AI Medical Compendium Journal:
Toxicology research

Showing 1 to 6 of 6 articles

prediction of chemical genotoxicity using machine learning methods and structural alerts.

Toxicology research
Genotoxicity tests can detect compounds that have an adverse effect on the process of heredity. The micronucleus assay, a genotoxicity test method, has been widely used to evaluate the presence and extent of chromosomal damage in human beings. Due t...

effects of endosulfan-based insecticides on mammalian sperm.

Toxicology research
Endosulfan is an organochloride insecticide extensively used in several countries to protect crops from pests. As several studies indicate that endosulfan can affect human and animal development, the aim of this study was to analyse whether sperm par...

Strategy of metal iron doping and green-mediated ZnO nanoparticles: dissolubility, antibacterial and cytotoxic traits.

Toxicology research
Undoped and Fe-doped ZnO nanoparticles (NPs) were synthesized using leaf extract as a reducing agent. The physicochemical traits, dissolution, cytotoxicity, as well as the antioxidant, photocatalytic and antibacterial activities of synthesized NPs w...

Effect of deoxynivalenol on apoptosis, barrier function, and expression levels of genes involved in nutrient transport, mitochondrial biogenesis and function in IPEC-J2 cells.

Toxicology research
This study was conducted to determine the effect of 200 ng mL and 2000 ng mL deoxynivalenol (DON) on apoptosis, barrier function, nutrient transporter gene expression, and free amino acid variation as well as on mitochondrial biogenesis and function-...

prediction of pesticide aquatic toxicity with chemical category approaches.

Toxicology research
Aquatic toxicity is an important issue in pesticide development. In this study, using nine molecular fingerprints to describe pesticides, binary and ternary classification models were constructed to predict aquatic toxicity of pesticides six machine...

Prediction of the effect of formulation on the toxicity of chemicals.

Toxicology research
Two approaches for the prediction of which of two vehicles will result in lower toxicity for anticancer agents are presented. Machine-learning models are developed using decision tree, random forest and partial least squares methodologies and statist...