Article

Artemis: Harnessing Knowledge Graphs for Next-Generation Drug Target Prioritization

2026-01-29

Abstract excerpt

Knowledge graphs (KGs) have become an important asset in biomedical research and drug discovery by enabling the structured integration of heterogeneous biological knowledge. When combined with machine learning (ML), KGs support the identification of novel drug-target relationships, but existing approaches are often KG-centric, relying primarily on graph structure and embeddings while overlooking disease-specific b...

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Literature Corpus work: 439c8d7a-cb37-5d99-92e7-14a8cfa3ed6e
DOI: 10.64898/2026.01.27.701959

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