DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
The injectable CeTA@GPP hydrogel is administered via intrauterine injection, forming a protective barrier. In the high ROS inflammatory microenvironment of injured endometrium, boronate ester cleavage triggers responsive CeTA release and local enrichment.
Peixian Cheng +8 more
wiley +1 more source
The Embodied Hijack: when Pleistocene minds meet disembodied artificial intelligence. [PDF]
Macrine SL.
europepmc +1 more source
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports. [PDF]
Lai M +10 more
europepmc +1 more source
Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen +6 more
wiley +1 more source
Structured multi-level knowledge augmentation via small-to-large evidence-guided collaboration for knowledge-based VQA. [PDF]
Zhang M, Wu D, Chung W.
europepmc +1 more source
Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao +6 more
wiley +1 more source
Sample-efficient fine-tuning with textual prompts for time series forecasting. [PDF]
Wei K, Jing J, Liu J, Liu Q, Xie X.
europepmc +1 more source
TP53 Loss Elevates NF‐κB‐IFN‐β‐MHC‐Ia Signaling to Promote NK Cell Resistance in Osteosarcoma
TP53 loss in a transforming or osteosarcoma cell promotes cytosolic DNA accumulation, activating NF‐κB‐dependent IFN‐β production. Autocrine IFN‐β signaling increases cell‐surface HLA‐Ia expression, strengthens inhibitory KIR signaling in natural killer cells, and thereby enables the affected cell to evade NK cell‐mediated cytotoxicity.
Guihui Qin +9 more
wiley +1 more source

