Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Graph former-CL: A novel graph transformer with contrastive learning framework for enhanced drug-drug interaction prediction. [PDF]
Amiri M, Zare O.
europepmc +1 more source
MFCN-DDI: Capsule network based on multimodal feature for multitype drug-drug interaction prediction. [PDF]
Lu J +5 more
europepmc +1 more source
Advancing Drug-Drug Interaction Prediction with Biomimetic Improvements: Leveraging the Latest Artificial Intelligence Techniques to Guide Researchers in the Field. [PDF]
Marqas RB +4 more
europepmc +1 more source
Method development and validation for simultaneous analysis of four bile acids as CYP3A drug-drug interaction biomarkers. [PDF]
Xun Z +5 more
europepmc +1 more source
A meta-contrastive learning approach for clinical drug-drug interaction extraction from biomedical literature. [PDF]
Jia Y, Yuan Z, Zhu L, Xiang ZL.
europepmc +1 more source
Evaluation of Drug-Drug Interaction Potential Between the Oral Antibiotic Zoliflodacin and the CYP3A4 Inhibitor Itraconazole: A Phase 1 Study in Healthy Participants. [PDF]
Luckey A +10 more
europepmc +1 more source

