AIMC Topic: Conus Snail

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Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction.

PloS one Dec 9, 2024
Cone snails are venomous marine gastropods comprising more than 950 species widely distributed across different habitats. Their conical shells are remarkably similar to those of other invertebrates in terms of color, pattern, and size. For these reas...
Animals Deep Learning ROC Curve Image Processing, Computer-Assisted Supervised Machine Learning Animal Shells Conus Snail
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δ-Conotoxin Structure Prediction and Analysis through Large-Scale Comparative and Deep Learning Modeling Approaches.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 21, 2024
The δ-conotoxins, a class of peptides produced in the venom of cone snails, are of interest due to their ability to inhibit the inactivation of voltage-gated sodium channels causing paralysis and other neurological responses, but difficulties in thei...
Algorithms Animals Deep Learning Models, Molecular Conotoxins Conus Snail
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Prediction of Specificity of α-Conotoxins to Subtypes of Human Nicotinic Acetylcholine Receptors with Semi-supervised Machine Learning.

ACS chemical neuroscience Jun 18, 2025
Conotoxins are a family of highly toxic neurotoxins composed of cysteine-rich peptides produced by marine cone snails. The most lethal cone snail species to humans is with fatality rates of up to ∼65% from a single sting, which is caused mostly by t...
Humans Machine Learning Protein Binding Supervised Machine Learning Amino Acid Sequence Conotoxins Receptors, Nicotinic Conus Snail
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