AIMC Topic: Cell Membrane
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Hindmarsh-Rose neuron model with memristors.
Bio Systems
Jan 9, 2019
We analyze single and coupled Hindmarsh-Rose neurons in the presence of a time varying electromagnetic field which results from the exchange of ions across the membrane. Memristors are used to model the relation between magnetic flux of the electroma...
Cell-Like Micromotors.
Accounts of chemical research
Aug 3, 2018
In the past decade, versatile micro- and nanosized machines have emerged as active agents for large-scale detoxification, sensing, microfabrication, and many other promising applications. Micromachines have also been envisioned as the next advancemen...
Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks.
Analytical biochemistry
Jun 13, 2018
Deep learning has been increasingly used to solve a number of problems with state-of-the-art performance in a wide variety of fields. In biology, deep learning can be applied to reduce feature extraction time and achieve high levels of performance. I...
Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.
Computational and mathematical methods in medicine
Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Sodium
Programming Languages
Myocytes, Cardiac
Observer Variation
Anti-Arrhythmia Agents
Calcium
Arrhythmias, Cardiac
Ions
Terfenadine
Clinical Trials as Topic
Cell Membrane
Risk
Electrophysiology
Algorithms
Reproducibility of Results
Electrocardiography
Action Potentials
Models, Statistical
Regression Analysis
Heart
Potassium
Humans
Artificial Intelligence
Software
Biosynthesis of copper nanoparticles using Shewanella loihica PV-4 with antibacterial activity: Novel approach and mechanisms investigation.
Journal of hazardous materials
Dec 29, 2017
Metallic nanoparticle based disinfection represents a promising approach for microbial pollution control in drinking water and thus, biosynthesis of non precious metal nanoparticles is of considerable interest. Herein, an original and efficient route...
L1 Cell Adhesion Molecule and Its Soluble Form sL1 Exhibit Poor Prognosis in Primary Breast Cancer Patients.
Clinical breast cancer
Dec 28, 2017
INTRODUCTION: The L1 cell adhesion molecule (L1-CAM) and its soluble form sL1 play a prominent role in invasion and metastasis in several cancers. However, its association with breast cancer is still unclear.
Lycopene-rich extract from red guava (Psidium guajava L.) displays cytotoxic effect against human breast adenocarcinoma cell line MCF-7 via an apoptotic-like pathway.
Food research international (Ottawa, Ont.)
Oct 27, 2017
This study investigated a lycopene-rich extract from red guava (LEG) for its chemical composition using spectrophotometry, mass spectrometry, attenuated total reflectance-fourier transform infrared spectroscopy (ATR-FTIR), and computational studies. ...
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...
Mapping membrane activity in undiscovered peptide sequence space using machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Nov 14, 2016
There are some ∼1,100 known antimicrobial peptides (AMPs), which permeabilize microbial membranes but have diverse sequences. Here, we develop a support vector machine (SVM)-based classifier to investigate ⍺-helical AMPs and the interrelated nature o...
Automatic detection of diffusion modes within biological membranes using back-propagation neural network.
BMC bioinformatics
May 4, 2016
BACKGROUND: Single particle tracking (SPT) is nowadays one of the most popular technique to probe spatio-temporal dynamics of proteins diffusing within the plasma membrane. Indeed membrane components of eukaryotic cells are very dynamic molecules and...
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