Article

Using Deep Learning Models of Gene Regulation to Guide Drug Prioritization

2026-05-14

Abstract excerpt

Drug repurposing offers a cost-effective strategy to accelerate therapeutic discovery, but most computational approaches fail to model noncoding genetic variation. Because over 90% of genome-wide association study (GWAS) risk variants reside in noncoding regions, linking regulatory variation to therapeutic hypotheses remains a major challenge. Here, we developed an integrative deep learning framework that links al...

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Literature Corpus work: 192bc7ee-8437-5ee6-a748-d510b256cfa4
DOI: 10.64898/2026.05.11.724354

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