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Novel graph attention autoencoder framework with multilayered validation identifies drug repurposing candidates for COVID-19 treatment

2026-01-08

Abstract excerpt

<title>Abstract</title> <p>Background The COVID-19 pandemic highlighted the critical need for drug repurposing to rapidly identify therapeutic options. While computational graph-based approaches show promise, conventional single analytical methods often fail to capture the complex pathological mechanisms needed for clinical translation. Methods We developed a Graph Attention Autoencoder (GATE) framework with mu...

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Literature Corpus work: 3a5e37f1-fc12-5882-abb4-e5dc2442e18e
DOI: 10.21203/rs.3.rs-8274293/v1

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