Results 191 to 200 of about 605,737 (255)

H2O2‐Activated Serotonin Precursor Probe for Mapping Neuronal Redox Homeostasis Reveals 5‐HT Interactions with Neighboring Proteins Under Oxidative Stress

open access: yesAdvanced Science, EarlyView.
HOP, an innovative ICT‐based fluorescent probe, visualizes H2O2 in stressed neurons while locally releasing serotonin (5‐HT) for real‐time protein interaction mapping. Its unique tandem sensing and labeling strategy reveals 5‐HT's role under oxidative stress, offering a powerful tool for neurophysiological research and therapeutic discovery.
Yani Liu   +9 more
wiley   +1 more source

Quantitative Electron Beam‐Single Atom Interactions Enabled by Sub‐20‐pm Precision Targeting

open access: yesAdvanced Science, EarlyView.
Atomic lock‐on (ALO) is a rapid, low‐dose in situ technique in scanning transmission electron microscopy (STEM) that achieves sub‐20 picometer (pm) beam positioning. A sparse annular scan collects positional information while avoiding irradiation of the target site.
Kevin M. Roccapriore   +2 more
wiley   +1 more source

All-to-all reconfigurability with sparse and higher-order Ising machines. [PDF]

open access: yesNat Commun
Nikhar S   +4 more
europepmc   +1 more source

BInD: Bond and Interaction‐Generating Diffusion Model for Multi‐Objective Structure‐Based Drug Design

open access: yesAdvanced Science, EarlyView.
Can a generative model design molecules that truly understand their targets? BInD, a diffusion‐based framework, co‐generates 3D molecules and their interactions with proteins by learning target‐specific interacting patterns. With knowledge‐based guidance and NCI‐driven optimization, BInD balances affinity, geometry, and drug‐likeness – pushing the ...
Joongwon Lee   +3 more
wiley   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

open access: yesAdvanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai   +8 more
wiley   +1 more source

AI‐Driven Defecation Analysis by Smart Healthcare Toilet: Exploring Biometric Patterns and Eu‐Tenesmus

open access: yesAdvanced Science, EarlyView.
A healthcare toilet system is introduced to passively measure defecation behavior. Real‐time data on stool dropping duration, thickness, and a newly defined “eu‐tenesmus” interval show correlations with stool form and gender differences. Results from 45 defecation events reveal a promising method for comprehensive defecation analysis.
Zhiquan Song   +16 more
wiley   +1 more source

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