AIMC Topic: Ions

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Comparative study on antibacterial activities and removal of iron ions from water using novel modified sand with silver through the hydrothermal technique.

Scientific reports May 8, 2025
The hydrothermal-calcination technique was used to modify raw sand with silver (Ag) at different weight percentages: 2%, 5%, and 10% using silver nitrate. The raw and sand-coated Ag nanoparticle samples were analyzed using various techniques, includi...
X-Ray Diffraction Sand Silver Ions Staphylococcus aureus Microbial Sensitivity Tests Water Purification Water Spectroscopy, Fourier Transform Infrared Escherichia coli Anti-Bacterial Agents Silicon Dioxide Metal Nanoparticles Iron
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Ionic Device: From Neuromorphic Computing to Interfacing with the Brain.

Chemistry, an Asian journal Feb 13, 2025
In living organisms, the modulation of ion conductivity in ion channels of neuron cells enables intelligent behaviors, such as generating, transmitting, and storing neural signals. Drawing inspiration from these natural processes, researchers have fa...
Humans Brain Neural Networks, Computer Ions Algorithms
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KaMLs for Predicting Protein p Values and Ionization States: Are Trees All You Need?

Journal of chemical theory and computation Jan 30, 2025
Despite its importance in understanding biology and computer-aided drug discovery, the accurate prediction of protein ionization states remains a formidable challenge. Physics-based approaches struggle to capture the small, competing contributions in...
Ions Proteins Databases, Protein Hydrogen-Ion Concentration Machine Learning Decision Trees
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Deep Learning Predicts Non-Normal Transmission Distributions in High-Field Asymmetric Waveform Ion Mobility (FAIMS) Directly from Peptide Sequence.

Analytical chemistry Jan 26, 2025
Peptide ion mobility adds an extra dimension of separation to mass spectrometry-based proteomics. The ability to accurately predict peptide ion mobility would be useful to expedite assay development and to discriminate true answers in a database sear...
Amino Acid Sequence Ions Ion Mobility Spectrometry Escherichia coli Mass Spectrometry Humans Neural Networks, Computer Peptides Deep Learning
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DisDock: A Deep Learning Method for Metal Ion-Protein Redocking.

Proteins Jan 22, 2025
The structures of metalloproteins are essential for comprehending their functions and interactions. The breakthrough of AlphaFold has made it possible to predict protein structures with experimental accuracy. However, the type of metal ion that a met...
Deep Learning Metals Protein Binding Software Algorithms Molecular Docking Simulation Binding Sites Metalloproteins Ions Computational Biology Ligands Databases, Protein Protein Conformation
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LSTM-based estimation of lithium-ion battery SOH using data characteristics and spatio-temporal attention.

PloS one Dec 26, 2024
As the primary power source for electric vehicles, the accurate estimation of the State of Health (SOH) of lithium-ion batteries is crucial for ensuring the reliable operation of the power system. Long Short-Term Memory (LSTM), a special type of recu...
Neural Networks, Computer Electric Power Supplies Spatio-Temporal Analysis Lithium Ions
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Sustainable Silk Fibroin Ionic Touch Screens for Flexible Biodegradable Electronics with Integrated AI and IoT Functionality.

Advanced materials (Deerfield Beach, Fla.) Dec 8, 2024
The increasing prevalence of electronic devices has led to a significant rise in electronic waste (e-waste), necessitating the development of sustainable materials for flexible electronics. In this study, silk fibroin ionic touch screen (SFITS) is in...
Humans Electric Conductivity Artificial Intelligence Touch Wearable Electronic Devices Electronics Fibroins Ions Internet of Things
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Navigating the maze of mass spectra: a machine-learning guide to identifying diagnostic ions in O-glycan analysis.

Analytical and bioanalytical chemistry Aug 24, 2024
Structural details of oligosaccharides, or glycans, often carry biological relevance, which is why they are typically elucidated using tandem mass spectrometry. Common approaches to distinguish isomers rely on diagnostic glycan fragments for annotati...
Machine Learning Mass Spectrometry Humans Tandem Mass Spectrometry Polysaccharides Ions Glycomics
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Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence model.

Water research Jul 14, 2024
Owing to its simplicity of measurement, effluent conductivity is one of the most studied factors in evaluations of desalination performance based on the ion concentrations in various ion adsorption processes such as capacitive deionization (CDI) or b...
Artificial Intelligence Water Purification Models, Theoretical Electric Conductivity Electrodes Electric Power Supplies Ions
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Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF.

Nature communications May 10, 2024
Immunopeptidomics is crucial for immunotherapy and vaccine development. Because the generation of immunopeptides from their parent proteins does not adhere to clear-cut rules, rather than being able to use known digestion patterns, every possible pro...
Tandem Mass Spectrometry Ions Humans Proteomics Software Peptides Databases, Protein Deep Learning HLA Antigens
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