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Drug repurposing for COVID-19 via knowledge graph completion
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WebObjective: To discover candidate drugs to repurpose for COVID-19 using literature-derived knowledge and knowledge graph completion methods. Methods: We propose a novel, integrative, and neural network-based literature-based discovery (LBD) approach to identify drug candidates from PubMed and other COVID-19-focused research literature. Web1,057 Likes, 134 Comments - Nerds Gone Mild Cosplay (@nerdsgonemildcosplay) on Instagram: "How do I even begin?! I won the Global Crown Championship of Cosplay!! I ... WebJul 28, 2024 · in this work, we construct features for microbes and diseases by fully exploiting multiply sources of biomedical data, and then propose a novel deep learning framework of graph attention networks with inductive matrix completion for human microbe-disease association prediction, named GATMDA. greatsword demonfall