AIMC Topic: Ion Channels

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CardiOT: Towards Interpretable Drug Cardiotoxicity Prediction Using Optimal Transport and Kolmogorov--Arnold Networks.

IEEE journal of biomedical and health informatics Mar 6, 2025
Investigating the inhibitory effects of compounds on cardiac ion channels is essential for assessing cardiac drug safety. Consequently, researchers have developed computational models to evaluate combined cardiotoxicity (CCT) on cardiac ion channels....
Humans Models, Cardiovascular Cardiotoxicity Neural Networks, Computer Ion Channels Computational Biology
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CaBind_MCNN: Identifying Potential Calcium Channel Blocker Targets by Predicting Calcium-Binding Sites in Ion Channels and Ion Transporters Using Protein Language Models and Multiscale Feature Extraction.

Journal of chemical information and modeling Feb 6, 2025
Calcium ions (Ca) are crucial for various physiological processes, including neurotransmission and cardiac function. Dysregulation of Ca homeostasis can lead to serious health conditions such as cardiac arrhythmias and hypertension. Ion channels and ...
Ion Channels Calcium Channel Blockers Binding Sites Humans Drug Discovery Calcium Neural Networks, Computer
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Deep Learning-Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Dec 31, 2024
The patch clamp technique is a fundamental tool for investigating ion channel dynamics and electrophysiological properties. This study proposes the first artificial intelligence framework for characterizing multiple ion channel kinetics of whole-cell...
Humans Deep Learning Action Potentials Patch-Clamp Techniques Alzheimer Disease Ion Channels Kinetics Neurons
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Ion channel classification through machine learning and protein language model embeddings.

Journal of integrative bioinformatics Nov 25, 2024
Ion channels are critical membrane proteins that regulate ion flux across cellular membranes, influencing numerous biological functions. The resource-intensive nature of traditional wet lab experiments for ion channel identification has led to an inc...
Computational Biology Support Vector Machine Machine Learning Algorithms Databases, Protein Ion Channels Humans Neural Networks, Computer
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The evolution of patch-clamp electrophysiology: Robotic, multiplex, and dynamic.

Molecular pharmacology Nov 22, 2024
The patch-clamp technique has been the gold standard for analysis of excitable cells. Since its development in the 1980s, it has contributed immensely to our understanding of neurons, muscle cells, and cardiomyocytes and the ion channels and receptor...
Electrophysiological Phenomena Patch-Clamp Techniques Neurons Ion Channels Animals Robotics Humans
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Harnessing Deep Learning Methods for Voltage-Gated Ion Channel Drug Discovery.

Physiology (Bethesda, Md.) Aug 27, 2024
Voltage-gated ion channels (VGICs) are pivotal in regulating electrical activity in excitable cells and are critical pharmaceutical targets for treating many diseases including cardiac arrhythmia and neuropathic pain. Despite their significance, chal...
Animals Drug Discovery Ion Channels Deep Learning Humans
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Identification of ion channel-related genes as diagnostic markers and potential therapeutic targets for osteoarthritis through bioinformatics and machine learning-based approaches.

Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals Jun 3, 2024
BACKGROUND: Osteoarthritis (OA) is a debilitating joint disorder characterized by the progressive degeneration of articular cartilage. Although the role of ion channels in OA pathogenesis is increasingly recognized, diagnostic markers and targeted th...
Biomarkers Gene Expression Profiling Gene Regulatory Networks Computational Biology Humans Support Vector Machine Ion Channels Machine Learning Osteoarthritis
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Exploiting protein language models for the precise classification of ion channels and ion transporters.

Proteins Apr 24, 2024
This study introduces TooT-PLM-ionCT, a comprehensive framework that consolidates three distinct systems, each meticulously tailored for one of the following tasks: distinguishing ion channels (ICs) from membrane proteins (MPs), segregating ion trans...
Humans Software Databases, Protein Ion Transport Algorithms Computational Biology Ion Channels Deep Learning Membrane Proteins
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DeepPLM_mCNN: An approach for enhancing ion channel and ion transporter recognition by multi-window CNN based on features from pre-trained language models.

Computational biology and chemistry Mar 20, 2024
Accurate classification of membrane proteins like ion channels and transporters is critical for elucidating cellular processes and drug development. We present DeepPLM_mCNN, a novel framework combining Pretrained Language Models (PLMs) and multi-wind...
Ion Transport Ion Channels Neural Networks, Computer Deep Learning
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Predicting functional effects of ion channel variants using new phenotypic machine learning methods.

PLoS computational biology Mar 6, 2023
Missense variants in genes encoding ion channels are associated with a spectrum of severe diseases. Variant effects on biophysical function correlate with clinical features and can be categorized as gain- or loss-of-function. This information enables...
Supervised Machine Learning Ion Channels Humans Phenotype Machine Learning Genetic Association Studies
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