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Multilayered validation of graph attention autoencoder–derived drug repurposing candidates for COVID-19

2026-07-02

Abstract excerpt

<title>Abstract</title> <p> <bold>Background/Objectives:</bold> 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. We aimed to prioritize COVID-19 repurposing candi...

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Literature Corpus work
3d267fcd-012a-53e7-9f80-41adbb1ab786
DOI
10.21203/rs.3.rs-8274293/v2
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Multilayered validation of graph attention autoencoder–derived drug repurposing candidates for COVID-19DOI 10.21203/rs.3.rs-8274293/v2
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