Results 171 to 180 of about 529,179 (290)

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

open access: yesAdvanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li   +23 more
wiley   +1 more source

Ligand-driven modulation of chaperone-cochaperone networks shapes proteostasis outcomes. [PDF]

open access: yesProtein Sci
Magni A   +9 more
europepmc   +1 more source

Mechanostimulatory Cues Determine Intestinal Fibroblast Fate and Profibrotic Remodeling in a Physiodynamic Human Gut‐on‐a‐Chip

open access: yesAdvanced Science, EarlyView.
A healthy gut barrier shields underlying fibroblasts from luminal shear forces, illustrating that “good fences make good neighbors.” Barrier damage exposes fibroblasts to shear stress, inducing cell death and the emergence of stress‐adapted, profibrotic fibroblasts. Sustained shear exposure promotes the formation of stiff aggregates of mechanoadapative
Soyoun Min   +6 more
wiley   +1 more source

A Nanoparticle‐Integrated Complete Manufacturing Pipeline of Chemically Engineered Exosomes

open access: yesAdvanced Science, EarlyView.
We report a novel manufacture technology of chemically engineered exosomes. The four steps of manufacturing, i.e., biogenesis, loading, isolation, and storage, are integrated by the use of a nanoparticle. The manufacture technology incorporates three innovative components, i.e., a new nano‐bio effect, a new composite nanoparticle, and a new isolation ...
Xiaowei Wen   +13 more
wiley   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

open access: yesAdvanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen   +7 more
wiley   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen   +15 more
wiley   +1 more source

Home - About - Disclaimer - Privacy