Results 211 to 220 of about 9,914 (264)

Inside‐Outside ROS Therapeutic Strategy Based on Piezoelectric Nano‐Urchin for Drug‐Resistant Bacteria Biofilm Infections

open access: yesAdvanced Science, EarlyView.
The contribution of this study lies not only in enabling effective treatment of drug‐resistant biofilm infections, but also in establishing a transferable therapeutic paradigm: Ultrasound‐triggered mechanical forces synergistically enhance piezoelectric polarization and nanozyme activity, driving functional ROS generation inside and outside biofilms ...
Xinjian Guo   +5 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

An experimental investigation of unique high stepup boost converter for electric vehicle and solar photovoltaic.

open access: yesSci Rep
Mariprasath T   +7 more
europepmc   +1 more source

TDP‐43 Aggregation: The Healthy‐Toxic Balance of the Prion‐Like Domain

open access: yesAdvanced Science, EarlyView.
TDP‐43 function relies on a delicate balance between reversible phase‐separated states and irreversible aggregation. Under physiological conditions, TDP‐43 forms dynamic droplets and oligomers that support normal cellular functions. In pathological contexts, this balance shifts toward aberrant aggregation, leading to toxic species.
Luca Zangrando   +2 more
wiley   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

open access: yesAdvanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang   +11 more
wiley   +1 more source

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