AIMC Topic: Neurotoxins

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A Deep Learning Approach with Data Augmentation to Predict Novel Spider Neurotoxic Peptides.

International journal of molecular sciences Nov 13, 2021
As major components of spider venoms, neurotoxic peptides exhibit structural diversity, target specificity, and have great pharmaceutical potential. Deep learning may be an alternative to the laborious and time-consuming methods for identifying these...
Spiders Neurotoxins Deep Learning Databases, Protein Spider Venoms Animals Peptides
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Predicting In Vitro Neurotoxicity Induced by Nanoparticles Using Machine Learning.

International journal of molecular sciences Jul 25, 2020
The practice of non-testing approaches in nanoparticles hazard assessment is necessary to identify and classify potential risks in a cost effective and timely manner. Machine learning techniques have been applied in the field of nanotoxicology with e...
Predictive Value of Tests Neurotoxins Nanoparticles Models, Neurological Machine Learning Humans
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Pippin: A random forest-based method for identifying presynaptic and postsynaptic neurotoxins.

Journal of bioinformatics and computational biology May 5, 2020
Presynaptic and postsynaptic neurotoxins are two types of neurotoxins from venomous animals and functionally important molecules in the neurosciences; however, their experimental characterization is difficult, time-consuming, and costly. Therefore, b...
Synapses Machine Learning Amino Acid Motifs Computational Biology Neurotoxins Algorithms Databases, Protein Animals
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Production of the Neurotoxin BMAA by Marine Diatoms Drives Its Widespread Occurrence in Estuarine and Coastal Ecosystems.

Environmental science & technology Jul 1, 2025
Phytoplankton are the primary producers of marine neurotoxins such as β--methylamino-l-alanine (BMAA), which cause seafood poisoning outbreaks in estuarine and coastal regions. BMAA has gained much attention for its pathogenic link to Alzheimer's and...
Ecosystem Seawater Diatoms Neurotoxins Nitrogen Cyanobacteria Toxins Phytoplankton Amino Acids, Diamino Estuaries
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Development of an Interpretable Machine Learning Model for Neurotoxicity Prediction of Environmentally Related Compounds.

Environmental science & technology Jun 10, 2025
The rising prevalence of nervous system disorders has become a significant global health challenge, with environmental pollutants identified as key contributors. However, the large number of environmental related compounds, combined with the low effi...
Machine Learning Risk Assessment Humans Environmental Pollutants Toxicity Tests Models, Statistical Neurotoxins Data Interpretation, Statistical Data Science
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The Application of Machine Learning Techniques in Protein Drugs and Drug Targets Recognition (2 Version).

Current drug metabolism Jan 1, 2020
Proteins Neurotoxins Pharmaceutical Preparations Machine Learning Drug Discovery
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Using Reduced Amino Acid Alphabet and Biological Properties to Analyze and Predict Animal Neurotoxin Protein.

Current drug metabolism Jan 1, 2020
AIMS: Because of the high affinity of these animal neurotoxin proteins for some special target site, they were usually used as pharmacological tools and therapeutic agents in medicine to gain deep insights into the function of the nervous system.
Proteins Amino Acids Neurotoxins Machine Learning Animals
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[Construction of a High-precision Chemical Prediction System Using Human ESCs].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
　Toxicity prediction based on stem cells and tissue derived from stem cells plays a very important role in the fields of biomedicine and pharmacology. Here we report on qRT-PCR data obtained by exposing 20 compounds to human embryonic stem (ES) cells...
Neurotoxins Permethrin Benzhydryl Compounds Embryonic Stem Cells Humans Support Vector Machine Quantitative Structure-Activity Relationship Toxicity Tests Phenols Carcinogens
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