Results 201 to 210 of about 5,953,468 (239)

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

Conditionally Significant eQTL and TWAS Analyses Identify MsRD26 as a Major Candidate Positive Regulator of Salt Tolerance in Medicago sativa L

open access: yesAdvanced Science, EarlyView.
Salt stress significantly impacts plant growth. Through population transcriptome, eQTL and TWAS analyses, we identified several candidate genes potentially associated with salt stress response. Functional assays suggested that some of these genes may contribute to salt tolerance.
Lin Chen   +12 more
wiley   +1 more source

Mechanochemical Activation of a Bridged‐Exciplex Optical Force Probe

open access: yesAdvanced Science, EarlyView.
A bridged‐exciplex optical force probe is synthesized, switching from solvatochromic charge‐transfer emission in the latent state to intense locally excited emission upon activation. This dual photophysical response with additional changes in quantum yield and fluorescence lifetime enables precise environmental sensing and distinct optical readouts ...
Ronja Schumann   +8 more
wiley   +1 more source

BOULE is Essential for the Dynamic Disassembly of Heat Shock Granules in Male Germ Cells

open access: yesAdvanced Science, EarlyView.
BOULE orchestrates stress granule disassembly in germ cells via a two‐pronged mechanism: it promotes G3BP1 ubiquitination by upregulating TRIM27, generating a signal for VCP/FAF2 recruitment, and it maintains G3BP1 and FAF2 protein levels. BOULE deficiency disrupts disassembly complex formation, leading to impaired heat shock granule clearance ...
Xin Li   +8 more
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

open access: yesAdvanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

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