AIMC Topic: Cell Membrane
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Nanoinformatics based insights into the interaction of blood plasma proteins with carbon based nanomaterials: Implications for biomedical applications.
Advances in protein chemistry and structural biology
Feb 19, 2024
In the past three decades, interest in using carbon-based nanomaterials (CBNs) in biomedical application has witnessed remarkable growth. Despite the rapid advancement, the translation of laboratory experimentation to clinical applications of nanomat...
Overlay databank unlocks data-driven analyses of biomolecules for all.
Nature communications
Feb 7, 2024
Tools based on artificial intelligence (AI) are currently revolutionising many fields, yet their applications are often limited by the lack of suitable training data in programmatically accessible format. Here we propose an effective solution to make...
Disclosing the locale of transmembrane proteins within cellular alcove by machine learning approach: systematic review and meta analysis.
Journal of biomolecular structure & dynamics
Sep 28, 2023
Protein subcellular localization is a promising research question in Proteomics and associated fields, including Biological Sciences, Biomedical Engineering, Computational Biology, Bioinformatics, Proteomics, Artificial Intelligence, and Biophysics. ...
Deep-Learning-Enhanced Diffusion Imaging Assay for Resolving Local-Density Effects on Membrane Receptors.
Analytical chemistry
Jan 30, 2023
G-protein-coupled receptor (GPCR) density at the cell surface is thought to regulate receptor function. Spatially resolved measurements of local-density effects on GPCRs are needed but technically limited by density heterogeneity and mobility of memb...
Modelling membrane curvature generation using mechanics and machine learning.
Journal of the Royal Society, Interface
Sep 21, 2022
The deformation of cellular membranes regulates trafficking processes, such as exocytosis and endocytosis. Classically, the Helfrich continuum model is used to characterize the forces and mechanical parameters that cells tune to accomplish membrane s...
DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging.
The Journal of cell biology
Aug 5, 2022
Membrane contact site (MCS)-mediated organelle interactions play essential roles in the cell. Quantitative analysis of MCSs reveals vital clues for cellular responses under various physiological and pathological conditions. However, an efficient tool...
Biological Membrane-Penetrating Peptides: Computational Prediction and Applications.
Frontiers in cellular and infection microbiology
Mar 25, 2022
Peptides comprise a versatile class of biomolecules that present a unique chemical space with diverse physicochemical and structural properties. Some classes of peptides are able to naturally cross the biological membranes, such as cell membrane and ...
A novel deep learning-based 3D cell segmentation framework for future image-based disease detection.
Scientific reports
Jan 10, 2022
Cell segmentation plays a crucial role in understanding, diagnosing, and treating diseases. Despite the recent success of deep learning-based cell segmentation methods, it remains challenging to accurately segment densely packed cells in 3D cell memb...
Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning.
Nature cell biology
Dec 7, 2021
Simultaneous imaging of various facets of intact biological systems across multiple spatiotemporal scales is a long-standing goal in biology and medicine, for which progress is hindered by limits of conventional imaging modalities. Here we propose us...
Deep Learning
Cell Line, Tumor
Single-Cell Analysis
Humans
Optical Imaging
COS Cells
Animals
Cell Nucleus
Refractometry
Lipid Droplets
Mitochondria
Actins
Subcellular Fractions
Imaging, Three-Dimensional
Chlorocebus aethiops
Cell Membrane
Cell Nucleolus
Electron Microscope Tomography
3T3 Cells
Mice
HeLa Cells
HEK293 Cells
Using molecular dynamics simulations to prioritize and understand AI-generated cell penetrating peptides.
Scientific reports
May 20, 2021
Cell-penetrating peptides have important therapeutic applications in drug delivery, but the variety of known cell-penetrating peptides is still limited. With a promise to accelerate peptide development, artificial intelligence (AI) techniques includi...
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