Alzheimer's Disease Knowledge Graph Enhances Knowledge Discovery and Disease Prediction.

ABSTRACT:

Background

Alzheimer's disease (AD), a progressive neurodegenerative disorder, continues to increase in prevalence without any effective treatments to date. In this context, knowledge graphs (KGs) have emerged as a pivotal tool in biomedical research, offering new perspectives on drug repurposing and biomarker discovery by analyzing intricate network structures. Our study seeks to build an AD-specific knowledge graph, highlighting interactions among AD, genes, variants, chemicals, drugs, and other diseases. The goal is to shed light on existing treatments, potential targets, and diagnostic methods for AD, thereby aiding in drug repurposing and the identification of biomarkers.

Results

We annotated 800 PubMed abstracts and leveraged GPT-4 for text augmentation to enrich our t

SUBMITTER: Yang Y 

PROVIDER: S-EPMC11245034 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature