DTSEA: A network-based drug target set enrichment analysis method for drug repurposing against COVID-19.
Ontology highlight
ABSTRACT: The Coronavirus Disease 2019 (COVID-19) pandemic is still wreaking havoc worldwide. Therefore, the urgent need for efficient treatments pushes researchers and clinicians into screening effective drugs. Drug repurposing may be a promising and time-saving strategy to identify potential drugs against this disease. Here, we developed a novel computational approach, named Drug Target Set Enrichment Analysis (DTSEA), to identify potent drugs against COVID-19. DTSEA first mapped the disease-related genes into a gene functional interaction network, and then it used a network propagation algorithm to rank all genes in the network by calculating the network proximity of genes to disease-related genes. Finally, an enrichment analysis was performed on drug target sets to prioritize disease-candidate d
SUBMITTER: Su Y
PROVIDER: S-EPMC10121077 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
ACCESS DATA