Results 261 to 270 of about 520,956 (335)

Gabpα‐Pparγ Complex Determines Glycolytic Capacity and Lactic Acid Homeostasis in Brown Fat

open access: yesAdvanced Science, EarlyView.
This study identifies the Gabpα–Pparγ complex as a key transcriptional regulator that couples glycolysis to lactate‐driven thermogenesis in brown adipose tissue by directly activating Eno1 transcription. ‌Competitive disruption of this interaction impairs lactate metabolism and thermogenic capacity.
Zhihan Wang   +22 more
wiley   +1 more source

The Gut Commensal Butyricimonas Virosa Modulates Gut Microbiota‐Dependent Thiamine Metabolism and Attenuates Mouse Steatotic Liver Disease

open access: yesAdvanced Science, EarlyView.
This study reveals that dietary stachyose enriches Butyricimonas virosa, effectively attenuating metabolic dysfunction‐associated steatotic liver disease (MASLD). Mechanistically, B. virosa enhances gut thiamine monophosphate synthesis, which elevates hepatic thiamine pyrophosphate levels.
Ningning He   +17 more
wiley   +1 more source

Enhancing Binding by Electron Transfer at Heterointerfaces of Biochar‐Modified Hydrogel to Improve Utilization Efficiency of Wastewater Recovered Nutrients

open access: yesAdvanced Science, EarlyView.
Enhancing the utilization efficiency of nutrients recovered from wastewater is achieved through hydrogel modification by biochar. The strategy improves nutrient binding to hydrogels via electron transfer at heterointerfaces, thereby reducing nutrient release rate.
Hao Hu   +7 more
wiley   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

open access: yesAdvanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan   +17 more
wiley   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

open access: yesAdvanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi   +5 more
wiley   +1 more source

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