GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data. [PDF]
Fiannaca A +4 more
europepmc +1 more source
Discovery of H2 Receptor Antagonists as Colistin Enhancers by Targeting Acid Stress Response
This study identifies YqgB as a key target for restoring colistin susceptibility in mcr‐positive pathogens under acidic conditions by remodeling phospholipid composition and reducing LPS modification. Deep learning‐based screening reveals H2 receptor antagonists as novel colistin adjuvants. Further investigations indicate that ranitidine and famotidine
Jinju Cai +7 more
wiley +1 more source
ProtGO: universal protein function prediction utilizing multi-modal gene ontology knowledge. [PDF]
Wang B +7 more
europepmc +1 more source
Prediction of anti-microtubular target proteins of tubulins and their interacting proteins using Gene Ontology tools. [PDF]
Ramesh Babu PB.
europepmc +1 more source
TRMT6‐mediated m1A modification in CDK9 mRNA enhances its mRNA stability and translation efficiency, thereby increasing the protein levels of CDK9. Upregulated CDK9 promotes the progression of HCC by elevating the levels of oncogenic factors including p‐STAT3, MCL1, and BCL‐2. On the other hand, CDK9 phosphorylates TARDBP at Ser254 to activate HBV core
Rui Zhang +12 more
wiley +1 more source
ScGOclust: leveraging gene ontology to find functionally analogous cell types between distant species. [PDF]
Song Y +4 more
europepmc +1 more source
A flexible, ultrathin multi‐channel microelectrode array (MEA) conformally integrated onto a curved slide‐well enables stable electrical interfacing with 3D cardiac organoids. The geometry‐guided self‐alignment allows simultaneous recording of extracellular field potentials and contractile motion from irregular, beating tissues.
Ye Seul Kim +12 more
wiley +1 more source
GeOKG: geometry-aware knowledge graph embedding for Gene Ontology and genes. [PDF]
Jeong CU, Kim J, Kim D, Sohn KA.
europepmc +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
GOBoost: leveraging long-tail gene ontology terms for accurate protein function prediction. [PDF]
Zhang L +8 more
europepmc +1 more source

