Article

Identification of targets for drug repurposing to treat COVID-19 using a Deep Learning Neural Network

2023-05-29

Abstract excerpt

The COVID-19 pandemic has resulted in a global public health crisis requiring immediate acute therapeutic solutions. To address this challenge, we developed a useful tool deep learning model using the graph-embedding convolution network (GECN) algorithm. Our approach identified COVID-19-related genes and potential druggable targets, including tyrosine kinase ABL1/2, pro-inflammatory cytokine CSF2, and pro-fibrotic...

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Literature Corpus work: aa5346c9-91d5-5167-b40d-178b4374986d
DOI: 10.1101/2023.05.23.23290403

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