Results 221 to 230 of about 273,786 (296)
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
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
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
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
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
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
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
Self‐Assembling Peptide‐Adjuvant Conjugate (SaPAC) Platform for Precision Cancer Immunotherapy
A self‐assembling peptide–adjuvant conjugate links neoantigens to TLR7 agonism, forming cationic nanoparticles that enhance lymph‐node retention, dendritic‐cell activation, and antitumor T‐cell immunity. This chemically defined platform shows how synchronized antigen and innate stimulation can be adapted across melanoma, bladder cancer, and triple ...
Yang‐Fan Wu +15 more
wiley +1 more source
A carrier‐free zinc‐coordinated polyphenol nanoplatform (ZnCA NPs) is designed as an “all‐in‐one” therapeutic strategy for intestinal inflammation. The ZnCA NPs exhibit enhanced colonic accumulation and broad‐spectrum reactive oxygen and nitrogen species scavenging.
Qiwen Xie +7 more
wiley +1 more source
Glucocorticoids (GC) are widely used to reduce inflammation. We show that the glucocorticoid receptor in myeloid cells regulates macrophage cell cycle and genome integrity during muscle regeneration. We demonstrate that dexamethasone administration during the early inflammatory phase delays muscle repair by increasing macrophage proliferation ...
Sirine Souali‐Crespo +11 more
wiley +1 more source

