Results 201 to 210 of about 142,624 (305)
The authors have discovered that intracellular interleukin 1 receptor 2 (IL1R2) negatively regulates pyroptosis and inflammation by inhibiting glycolysis in sepsis. Soluble IL1R2 is released from macrophages undergoing pyroptosis. IL1R2 acts as a novel negative regulator of glycolysis by interacting with enolase 1 (ENO1), thereby inhibiting gasdermin D
Chuyi Tan+13 more
wiley +1 more source
An evaluation methodology for machine learning-based tandem mass spectra similarity prediction. [PDF]
Strobel M+7 more
europepmc +1 more source
ID1 is regulated by E3 ligase TRIM21, which adds non‐degradative K11‐linked ubiquitin at Lys91, disrupting ID1‐TCF12 binding and freeing TCF12 to upregulate copper transporter SLC31A1. Enhanced SLC31A1 elevates intracellular copper, triggers cuproptosis, and inhibits ESCC growth.
Lei Li+6 more
wiley +1 more source
Image region semantic enhancement and symmetric semantic completion for text-to-image person search. [PDF]
Tuo T+5 more
europepmc +1 more source
Acute restraint stress enhances STAT3Ser727 phosphorylation in dopaminergic neurons in mice. This modification promotes the upregulation of GABBR2 and GABRB3, reduces neuronal activity, and contributes to anxiety‐like behavior and diminished reward‐seeking following stress exposure.
Mingshuo Shao+10 more
wiley +1 more source
Retrieval-augmented generation elevates local LLM quality in radiology contrast media consultation. [PDF]
Wada A+12 more
europepmc +1 more source
Can a generative model design molecules that truly understand their targets? BInD, a diffusion‐based framework, co‐generates 3D molecules and their interactions with proteins by learning target‐specific interacting patterns. With knowledge‐based guidance and NCI‐driven optimization, BInD balances affinity, geometry, and drug‐likeness – pushing the ...
Joongwon Lee+3 more
wiley +1 more source
READRetro web: A user-friendly platform for predicting plant natural product biosynthesis. [PDF]
Kwak Y, Kim T, Kim SG, Park J.
europepmc +1 more source
PRO‐LDM is a modular latent diffusion framework that learns hierarchical biological representations to enable efficient and high‐fidelity protein design. PRO‐LDM can design species that resemble natural sequences with enhanced diversity or optimize protein functions.
Sitao Zhang+15 more
wiley +1 more source
Evaluation of Personalized Social Ranking Functions of Information Retrieval [PDF]
Mohamed Reda Bouadjenek+3 more
openalex +1 more source