AIMC Topic: Conotoxins

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ConoDL: a deep learning framework for rapid generation and prediction of conotoxins.

Journal of computer-aided molecular design Dec 26, 2024
Conotoxins, being small disulfide-rich and bioactive peptides, manifest notable pharmacological potential and find extensive applications. However, the exploration of conotoxins' vast molecular space using traditional methods is severely limited, nec...
Deep Learning Models, Molecular Amino Acid Sequence Conotoxins
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Machine Learning Framework for Conotoxin Class and Molecular Target Prediction.

Toxins Nov 3, 2024
Conotoxins are small and highly potent neurotoxic peptides derived from the venom of marine cone snails which have captured the interest of the scientific community due to their pharmacological potential. These toxins display significant sequence and...
Machine Learning Animals Amino Acid Sequence Conotoxins Receptors, Nicotinic
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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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ICTC-RAAC: An improved web predictor for identifying the types of ion channel-targeted conotoxins by using reduced amino acid cluster descriptors.

Computational biology and chemistry Sep 7, 2020
Conotoxins are small peptide toxins which are rich in disulfide and have the unique diversity of sequences. It is significant to correctly identify the types of ion channel-targeted conotoxins because that they are considered as the optimal pharmacol...
Computational Biology Support Vector Machine Databases, Protein Amino Acids Internet Amino Acid Sequence Ion Channels Conotoxins
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Predicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model.

BioMed research international Apr 9, 2017
The conotoxin proteins are disulfide-rich small peptides. Predicting the types of ion channel-targeted conotoxins has great value in the treatment of chronic diseases, epilepsy, and cardiovascular diseases. To solve the problem of information redunda...
Support Vector Machine Models, Molecular Ion Channels Conotoxins
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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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