Results 221 to 230 of about 7,582 (301)

Asymmetric Evolution of Antennal Cell Types Underlies a Derived Ammonia‐Sensing Logic for Ecological Adaptation in Bactrocera dorsalis

open access: yesAdvanced Science, EarlyView.
Comparative antennal single‐nucleus transcriptomics reveals cell‐type‐dependent transcriptomic divergence in Bactrocera dorsalis, with similar structural cells but divergent sensory neurons. This neuronal diversification is associated with a distinct ammonia‐sensing pathway, linking female attraction to bird‐dropping‐associated cues with nutritional ...
Wei Liu   +7 more
wiley   +1 more source

Carrier‐Free Berberine/Nitidine Chloride Self‐Assembled Nanoparticles Induce Ferroptosis to Overcome Bortezomib Resistance in Multiple Myeloma

open access: yesAdvanced Science, EarlyView.
A schematic illustrating the fabrication process and ferroptosis‐mediated therapeutic mechanism of carrier‐free self‐assembled BBR/NC‐SAPs for overcoming bortezomib resistance in multiple myeloma. ABSTRACT Therapeutic relapse driven by bortezomib resistance represents a formidable clinical barrier in the management of multiple myeloma (MM).
Yiwen Lv   +16 more
wiley   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

open access: yesAdvanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo   +6 more
wiley   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

open access: yesAdvanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan   +8 more
wiley   +1 more source

An Optimized Freeze‐Dry Multimodal Workflow for Sequential Micro‐CT Imaging, Histology, and Molecular Profiling: A Use Case in Human Liver Fibrosis

open access: yesAdvanced Science, EarlyView.
Optimized freeze‐drying and eosin staining deliver artifact‐free micro‐CT images of liver tissue at near‐histological detail, then hand the same specimen back for sectioning, staining, and sequencing. Fibrotic volume distinguishes normal liver from cirrhosis, while preserved RNA reveals inflammatory gene upregulation—one biopsy, three dimensions, and a
Kristijan Skok   +13 more
wiley   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

open access: yesAdvanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang   +10 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

open access: yesAdvanced Science, EarlyView.
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

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