SARS-CoV-2 Infections - Gene Expression Omnibus (GEO) Data Mining, Pathway Enrichment Analysis, and Prediction of Repurposable Drugs/Compounds

Abstract excerpt

The COVID-19 global pandemic has created dire consequences with an alarming rate of morbidity and mortality. There are not yet vaccine or efficacious treatment options to combat the causative SARS-CoV-2 infection. This paper describes the identification of potentially repurposable drugs for COVID-19 treatment by conducting pathway enrichment analysis on publicly available Gene Expression Omnibus datasets. We first...

Topics

Open a Topic to create a Post that cites this publication.

• Bioinformatics and Genomic Networks
• Computational Drug Discovery Methods
• COVID-19 Clinical Research Studies
• Cytokine Signaling Pathways and Interactions
• SARS-CoV-2 and COVID-19 Research

Identifiers and source

Literature Corpus work

a6201cfb-e744-5133-bfd3-4e010d5fc25d

DOI

10.20944/preprints202009.0459.v1