Results 161 to 170 of about 394,985 (290)

Aberrant SUMOylation Restricts the Targetable Cancer Immunopeptidome

open access: yesAdvanced Science, EarlyView.
Pharmacological SUMOylation inhibition (SUMOi) counteracts tumor immune evasion by unmasking an immunogenic HLA‐I peptide and neoepitope repertoire. By restoring HLA‐I ligand availability through increased antigen processing and presentation, enhanced proteasomal cleavage, and modulated TAP1 peptide affinity, SUMOi boosts tumor immunogenicity ...
Uta M. Demel   +19 more
wiley   +1 more source

Construction of PANoptosis‐Inhibiting Carbonized Polymer Dots via Machine Learning Potential for Mitigating Chemodrug‐Induced Nephrotoxicity

open access: yesAdvanced Science, EarlyView.
An enhanced sampling method is developed for molecular dynamics based on trained machine learning force fields to guide the construction of PANoptosis‐inhibiting carbonized polymer dots (Lu‐CDs) derived from a flavonoid compound for treating chemodrug‐induced nephrotoxicity.
Xinchen Liu   +8 more
wiley   +1 more source

Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium

open access: yesAdvanced Science, EarlyView.
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du   +5 more
wiley   +1 more source

Biohybrid Tendons Enhance the Power‐to‐Weight Ratio and Modularity of Muscle‐Powered Robots

open access: yesAdvanced Science, EarlyView.
Biohybrid robots powered by skeletal muscle actuators are capable of dynamically adapting to environmental cues. This study takes inspiration from native muscle–tendon architecture by leveraging tough hydrogels as synthetic tendons for muscle actuators to enhance the power‐to‐weight ratio and modularity of biohybrid machines.
Nicolas Castro   +11 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

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