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AbstractThe COVID-19 pandemic caused by the novel SARS-CoV-2 is more contagious than other coronaviruses and has higher rates of mortality than influenza. Identification of effective therapeutics is a crucial tool to treat those infected with SARS-CoV-2 and limit the spread of this novel disease globally. We deployed a bioinformatics workflow to identify candidate drugs for the treatment of COVID-19. Using an "omics" repository, the Library of Integrated Network-Based Cellular Signaturesdoi:10.1038/s41598-021-84044-9 pmid:33627767 pmcid:PMC7904823 fatcat:u3u4hupllrallae4xm4w7twhiu