AIMC Topic: Ions

Clear Filters Showing 11 to 20 of 67 articles

Accurate structure prediction of biomolecular interactions with AlphaFold 3.

Nature May 8, 2024
The introduction of AlphaFold 2 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design. Here we describe our AlphaFold 3 model with a substantially...
Proteins Models, Molecular Antibodies Deep Learning Protein Binding Nucleic Acids Protein Conformation Antigens Ions Ligands Humans Reproducibility of Results Molecular Docking Simulation Software
View on PubMed DOI

An Artificial LiSiO Nociceptor with Neural Blockade and Self-Protection Abilities.

ACS applied materials & interfaces Apr 9, 2024
An artificial nociceptor, as a critical and special bionic receptor, plays a key role in a bioelectronic device that detects stimuli and provides warnings. However, fully exploiting bioelectronic applications remains a major challenge due to the lack...
Humans Nociceptors Ions Bionics Artificial Intelligence Pain
View on PubMed DOI

Efficient Spiking Neural Networks with Biologically Similar Lithium-Ion Memristor Neurons.

ACS applied materials & interfaces Mar 5, 2024
Benefiting from the brain-inspired event-driven feature and asynchronous sparse coding approach, spiking neural networks (SNNs) are becoming a potentially energy-efficient replacement for conventional artificial neural networks. However, neuromorphic...
Neural Networks, Computer Algorithms Neurons Ions Brain Lithium
View on PubMed DOI

A Machine Learning-Driven Comparison of Ion Images Obtained by MALDI and MALDI-2 Mass Spectrometry Imaging.

Journal of the American Society for Mass Spectrometry Feb 26, 2024
Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) enables label-free imaging of biomolecules in biological tissues. However, many species remain undetected due to their poor ionization efficiencies. MALDI-2 (laser-indu...
Humans Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Ions
View on PubMed DOI

DeepION: A Deep Learning-Based Low-Dimensional Representation Model of Ion Images for Mass Spectrometry Imaging.

Analytical chemistry Feb 20, 2024
Mass spectrometry imaging (MSI) is a high-throughput imaging technique capable of the qualitative and quantitative in situ detection of thousands of ions in biological samples. Ion image representation is a technique that produces a low-dimensional v...
Ions Isotopes Mass Spectrometry Diagnostic Imaging Deep Learning Rats Animals
View on PubMed DOI

Geometric deep learning for the prediction of magnesium-binding sites in RNA structures.

International journal of biological macromolecules Feb 15, 2024
Magnesium ions (Mg) are essential for the folding, functional expression, and structural stability of RNA molecules. However, predicting Mg-binding sites in RNA molecules based solely on RNA structures is still challenging. The molecular surface, cha...
Ions Binding Sites Magnesium RNA Deep Learning
View on PubMed DOI

Bound ion effects: Using machine learning method to study the kinesin Ncd's binding with microtubule.

Biophysical journal Dec 30, 2023
Drosophila Ncd proteins are motor proteins that play important roles in spindle organization. Ncd and the tubulin dimer are highly charged. Thus, it is crucial to investigate Ncd-tubulin dimer interactions in the presence of ions, especially ions tha...
Protein Binding Tubulin Molecular Dynamics Simulation Drosophila Proteins Protein Multimerization Machine Learning Solvents Static Electricity Ions Kinesins Animals Microtubules
View on PubMed DOI

Injection-on-Skin Granular Adhesive for Interactive Human-Machine Interface.

Advanced materials (Deerfield Beach, Fla.) Oct 25, 2023
Realization of interactive human-machine interfaces (iHMI) is improved with development of soft tissue-like strain sensors beyond hard robotic exosuits, potentially allowing cognitive behavior therapy and physical rehabilitation for patients with bra...
Hydrogels Ions Humans Electric Conductivity Robotics Wearable Electronic Devices Adhesives Catecholamines
View on PubMed DOI

Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents.

Journal of hazardous materials Oct 12, 2023
Biochar adsorbents synthesized from food and agricultural wastes are commonly applied to eliminate heavy metal (HM) ions from wastewater. However, biochar's diverse characteristics and varied experimental conditions make the accurate estimation of th...
Ions Deep Learning Metals, Heavy Adsorption Charcoal
View on PubMed DOI

Rapid identification of Salmonella serovars Enteritidis and Typhimurium using whole cell matrix assisted laser desorption ionization - Time of flight mass spectrometry (MALDI-TOF MS) coupled with multivariate analysis and artificial intelligence.

Journal of microbiological methods Sep 23, 2023
Salmonella is a common food-borne pathogen with Enteritidis and Typhimurium being among the most important serovars causing numerous outbreaks. A rapid method was investigated to identify these serovars using whole-cell MALDI-TOF MS coupled with mult...
Ions Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Artificial Intelligence Serogroup Multivariate Analysis Lasers Salmonella enteritidis
View on PubMed DOI
Popular Topics
Recent Journals