Results 151 to 160 of about 151,311 (270)

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

Connexin43 Deficiency Leads to Ventricular Arrhythmias by Reprogramming Proline Metabolism

open access: yesAdvanced Science, EarlyView.
The study demonstrated that connexin43 (Cx43) knockout caused arrhythmic phenotype and decreased proline content in vitro and in vivo. Mechanistically, Cx43 interacts with the amino acid transporter SNAT2 (sodium‐dependent neutral amino acid transporter), and its deficiency disrupts proline transport and metabolism.
Hangying Ying   +8 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

Engineering Compact Base Editors by AlphaFold‐Guided Mutation Scan and Escherichia coli‐Based Tri‐Selection

open access: yesAdvanced Science, EarlyView.
A miniaturized deaminase SsdAtox was scanned with AlphaFold to identify DNA binding pocket hot spots. Site‐saturation mutagenesis at gatekeeper residue K31 yielded ten‐fold activity enhancement. Trinity Screen, an E. coli‐based three‐in‐one platform selecting for high activity and reduced double‐strand breaks, enabled combinatorial evolution at DNA ...
Ryeo Gang Son   +2 more
wiley   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

open access: yesAdvanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu   +6 more
wiley   +1 more source

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

open access: yesAdvanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair   +4 more
wiley   +1 more source

Hypofractionated Radiotherapy Induces ISG15+MHC‐I+ Neutrophils to Augment Anti‐Tumor Immunity and Prime Immune Checkpoint Blockade Responses in Rectal Cancer

open access: yesAdvanced Science, EarlyView.
ABSTRACT Our previous clinical trials had demonstrated that neoadjuvant hypofractionated radiotherapy (HFRT) combined with immunotherapy yields promising clinical outcomes in locally advanced rectal cancer (LARC). However, this combined modality benefits only a subset of patients, highlighting the need to uncover the mechanisms underlying how ...
Lichao Liu   +12 more
wiley   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

open access: yesAdvanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka   +3 more
wiley   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

open access: yesAdvanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy