AIMC Topic: Ion Channels

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Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data.

Communications biology Jan 7, 2020
Single-molecule research techniques such as patch-clamp electrophysiology deliver unique biological insight by capturing the movement of individual proteins in real time, unobscured by whole-cell ensemble averaging. The critical first step in analysi...
Workflow Models, Biological Supervised Machine Learning Artificial Intelligence ROC Curve Electrophysiological Phenomena Ion Channel Gating Patch-Clamp Techniques Single Molecule Imaging Ion Channels Humans Neural Networks, Computer
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DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteins.

Journal of computational chemistry Mar 18, 2019
The movement of ions across the cell membrane is an essential for many biological processes. This study is focused on ion channels and ion transporters (pumps) as types of border guards control the incessant traffic of ions across cell membranes. Ion...
Ion Transport Automation Ion Channels Humans Deep Learning
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Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure.

Genomics Dec 11, 2018
The identification of drug-target interactions has great significance for pharmaceutical scientific research. Since traditional experimental methods identifying drug-target interactions is costly and time-consuming, the use of machine learning method...
Machine Learning Databases, Protein Receptors, G-Protein-Coupled Protein Conformation Software Drug Development Position-Specific Scoring Matrices Receptors, Cytoplasmic and Nuclear Ion Channels
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Thermodynamic integration network approach to ion transport through protein channels: Perspectives and limits.

Journal of computational chemistry Oct 11, 2018
We present a molecular dynamics simulation study of alkali metal cation transport through the double-helical and the head-to-head conformers of the gramicidin ion channel. Our approach is based on a thermodynamic integration network, which consists o...
Thermodynamics Ion Channels Molecular Dynamics Simulation Protein Conformation Ion Transport Least-Squares Analysis Neural Networks, Computer
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Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 15, 2018
Network oscillations across and within brain areas are critical for learning and performance of memory tasks. While a large amount of work has focused on the generation of neural oscillations, their effect on neuronal populations' spiking activity an...
Ion Channels Rhodopsin Action Potentials Neurons Nerve Net Mice Models, Neurological Neural Networks, Computer Learning Animals Computer Simulation
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Synthetic Ion Channels and DNA Logic Gates as Components of Molecular Robots.

Chemphyschem : a European journal of chemical physics and physical chemistry Dec 8, 2017
A molecular robot is a next-generation biochemical machine that imitates the actions of microorganisms. It is made of biomaterials such as DNA, proteins, and lipids. Three prerequisites have been proposed for the construction of such a robot: sensors...
Valinomycin Humans Aptamers, Nucleotide Neoplasms Robotics Ion Channels MicroRNAs Lipid Bilayers DNA Nanopores
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Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization.

PLoS computational biology Oct 23, 2017
There is growing interest in studying and engineering integral membrane proteins (MPs) that play key roles in sensing and regulating cellular response to diverse external signals. A MP must be expressed, correctly inserted and folded in a lipid bilay...
Rhodopsin Sequence Analysis, Protein Ion Channels Drug Design Cell Membrane Subcellular Fractions Humans Structure-Activity Relationship Lipid Bilayers Machine Learning HEK293 Cells
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Analytical solution of the steady membrane voltage fluctuation caused by a single ion channel.

Physical review. E May 17, 2017
An analytical steady-state solution of the stochastic model describing the integrated dynamics of the membrane voltage and the gating of a single channel is presented. The voltage density function experiences bifurcation in the parameter space, and t...
Stochastic Processes Neural Networks, Computer Ion Channels Animals Membrane Potentials Neurons
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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 Conotoxins Ion Channels
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Optogenetics in Silicon: A Neural Processor for Predicting Optically Active Neural Networks.

IEEE transactions on biomedical circuits and systems Aug 17, 2016
We present a reconfigurable neural processor for real-time simulation and prediction of opto-neural behaviour. We combined a detailed Hodgkin-Huxley CA3 neuron integrated with a four-state Channelrhodopsin-2 (ChR2) model into reconfigurable silicon h...
Neural Networks, Computer Ion Channels Silicon Models, Neurological Optogenetics
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