Screening druggable targets and predicting therapeutic drugs for COVID-19 via integrated bioinformatics analysis.

ABSTRACT:

Background

Since the outbreak of coronavirus disease 2019 (COVID-19) in China, numerous research institutions have invested in the development of anti-COVID-19 vaccines and screening for efficacious drugs to manage the virus.

Objective

To explore the potential targets and therapeutic drugs for the prevention and treatment of COVID-19 through data mining and bioinformatics.

Methods

We integrated and profoundly analyzed 10 drugs previously assessed to have promising therapeutic potential in COVID-19 management, and have been recommended for clinical trials. To explore the mechanisms by which these drugs may be involved in the treatment of COVID-19, gene-drug interactions were identified using the DGIdb database after which functional enrichment analysis, protein-protein

SUBMITTER: Tan S 

PROVIDER: S-EPMC7797890 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature