OTRec: A Deep Learning Recommender for Druggable Disease–Target Prioritization

Abstract excerpt

Identifying druggable disease–target associations remains a central challenge in translational medicine, limiting therapeutic discovery and repurposing. Here, we present OTRec, a deep learning–based recommender system that ranks such associations at scale and evaluates them in a temporal hold-out setting. Unlike approaches that rely on manually curated or aggregated evidence scores, OTRec employs a two-tower archi...

Topics

Open a Topic to create a Post that cites this publication.

• Chronic Disease
• Drug Discovery
• Gene Frequency
• Genetic Association Studies
• Genetic Predisposition to Disease
• Machine Learning
• Phenotype
• Rare Diseases

Identifiers and source

Literature Corpus work

7cbb0369-f194-586d-b3ba-0c4938e2bb23

DOI

10.64898/2025.12.21.695803