AIMC Topic: Toxicity Tests, Acute
Clear Filters Showing 11 to 20 of 20 articles
In Silico Prediction of Oral Acute Rodent Toxicity Using Consensus Machine Learning.
Journal of chemical information and modeling
Mar 18, 2024
Acute oral toxicity (AOT) is required for the classification and labeling of chemicals according to the global harmonized system (GHS). Acute oral toxicity studies are optimized to minimize the use of animals. However, with the advent of the three p...
In silico prediction of chemical acute contact toxicity on honey bees via machine learning methods.
Toxicology in vitro : an international journal published in association with BIBRA
Jan 11, 2021
In recent years, the decline of honey bees and the collapse of bee colonies have caught the attention of ecologists, and the use of pesticides is one of the main reasons for the decline. Therefore, ecological risk assessment of pesticides is essentia...
Enhancing Acute Oral Toxicity Predictions by using Consensus Modeling and Algebraic Form-Based 0D-to-2D Molecular Encodes.
Chemical research in toxicology
May 17, 2019
Quantitative structure-activity relationships (QSAR) are introduced to predict acute oral toxicity (AOT), by using the QuBiLS-MAS (acronym for quadratic, bilinear and N-Linear maps based on graph-theoretic electronic-density matrices and atomic weigh...
Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space.
Journal of chemical information and modeling
Jan 23, 2019
Acute toxicity is one of the most challenging properties to predict purely with computational methods due to its direct relationship to biological interactions. Moreover, toxicity can be represented by different end points: it can be measured for dif...
Evaluation of Aristolochia indica L. and Piper nigrum L. methanol extract against centipede Scolopendra moristans L. using Wistar albino rats and screening of bioactive compounds by high pressure liquid chromatography: a polyherbal formulation.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Nov 28, 2017
The present study was aimed to explore the anti-venom activity of Aristolochia indica and Piper nigrum plants against the centipede (Scolopendra moristans) envenomation in animal model. In vtiro phytochemical, antioxidant and blocking of proteolysis ...
Phytotherapy
Piper nigrum
Proteolysis
Animals
Venoms
Lipids
Humans
Antineoplastic Agents
Antivenins
Cell Line, Tumor
Phytochemicals
Behavior, Animal
Aristolochia
Mice
Electrolytes
Methanol
Antioxidants
Toxicity Tests, Acute
Chromatography, High Pressure Liquid
Organ Specificity
Annelida
Plant Extracts
Rats, Wistar
A new cyclic lipopeptide isolated from Bacillus amyloliquefaciens HAB-2 and safety evaluation.
Pesticide biochemistry and physiology
Aug 31, 2017
Bacillus is the most widely studied biocontrol agent and has been extensively used in the development of biopesticides and fungicides. In this study, a new cyclic lipopeptide was isolated from Bacillus amyloliquefaciens HAB-2 by column chromatography...
Profiling mechanisms that drive acute oral toxicity in mammals and its prediction via machine learning.
Toxicological sciences : an official journal of the Society of Toxicology
May 12, 2023
We present a mechanistic machine-learning quantitative structure-activity relationship (QSAR) model to predict mammalian acute oral toxicity. We trained our model using a rat acute toxicity database compiled by the US National Toxicology Program. We ...
Prediction of Oral Acute Toxicity of Organophosphates Using QSAR Methods.
Current computer-aided drug design
Jan 1, 2021
AIMS: Prediction of oral acute toxicity of organophosphates using QSAR methods.
Hybrid Design of Isonicotinic Acid Hydrazide Derivatives: Machine Learning Studies, Synthesis and Biological Evaluation of their Antituberculosis Activity.
Current drug discovery technologies
Jan 1, 2020
BACKGROUND: Tuberculosis (TB) is an infection disease caused by Mycobacterium tuberculosis (Mtb) bacteria. One of the main causes of mortality from TB is the problem of Mtb resistance to known drugs.
Prediction of acute toxicity of emerging contaminants on the water flea Daphnia magna by Ant Colony Optimization-Support Vector Machine QSTR models.
Environmental science. Processes & impacts
Mar 22, 2017
According to the European REACH Directive, the acute toxicity towards Daphnia magna should be assessed for any industrial chemical with a market volume of more than 1 t/a. Therefore, it is highly recommended to determine the toxicity at a certain con...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31964
- Neural Networks, Computer 30201
- Algorithms 27375
- Deep Learning 26880
- Artificial Intelligence 24818
- Robotics 13382
- Image Processing, Computer-Assisted 9730
- Retrospective Studies 9328
- Magnetic Resonance Imaging 6341
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4863
- Support Vector Machine 4762
- Computational Biology 4328
- Brain 4125
- Computer Simulation 3932
Recent Journals
- Scientific reports 6689
- Sensors (Basel, Switzerland) 4794
- PloS one 4186
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1915
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1167
- Journal of chemical information and modeling 1059
- Nature communications 1029
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 872
- Journal of medical Internet research 853
- Briefings in bioinformatics 853