Results 221 to 230 of about 46,112 (290)
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
Personalized mapping of inhibitory spinal cord circuits in humans via noninvasive neural decoding and in silico modeling. [PDF]
Pascual-Valdunciel A +6 more
europepmc +1 more source
Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption
Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang +6 more
wiley +1 more source
Neural decoding and feature selection methods for closed-loop control of avoidance behavior. [PDF]
Liu J +6 more
europepmc +1 more source
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Erratum: NeuroDecodeR: a package for neural decoding in R. [PDF]
Frontiers Production Office.
europepmc +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
Biodegradable Zn‐Based Implants: Progress, Challenges, and Pathways toward Clinical Translation
Exploring biodegradable Zn‐based implants offers a promising pathway to next‐generation biomedical devices with balanced degradation and biocompatibility. A comprehensive overview of biodegradable Zn‐based implants, covering their biological significance, material design principles, and advanced engineering strategies is provided.
Panfeng Zhao +10 more
wiley +1 more source
Microplastics (MPs) breach the gut‐brain axis by triggering taurine‐depleting microbiota dysbiosis that accelerates Alzheimer‐like pathology in 5XFAD mice. Taurine supplementation normalizes autophagy, microglial quiescence, and cognition, and plasma taurine inversely tracks cognitive decline in ADNI participants, revealing a readily translatable ...
Zifeng Wu +8 more
wiley +1 more source

