• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Sci Rep . Identification of candidate repurposable drugs to combat COVID-19 using a signature-based approach

tetano

Editor, Senior Moderator
Sci Rep


. 2021 Feb 24;11(1):4495.
doi: 10.1038/s41598-021-84044-9.
Identification of candidate repurposable drugs to combat COVID-19 using a signature-based approach


Sinead M O'Donovan[SUP] #[/SUP][SUP] 1 [/SUP], Ali Imami[SUP] #[/SUP][SUP] 1 [/SUP], Hunter Eby[SUP] 1 [/SUP], Nicholas D Henkel[SUP] 1 [/SUP], Justin Fortune Creeden[SUP] 1 [/SUP], Sophie Asah[SUP] 1 [/SUP], Xiaolu Zhang[SUP] 1 [/SUP], Xiaojun Wu[SUP] 1 [/SUP], Rawan Alnafisah[SUP] 1 [/SUP], R Travis Taylor[SUP] 2 [/SUP], James Reigle[SUP] 3 4 [/SUP], Alexander Thorman[SUP] 5 [/SUP], Behrouz Shamsaei[SUP] 4 [/SUP], Jarek Meller[SUP] 4 6 5 7 8 [/SUP], Robert E McCullumsmith[SUP] 9 10 [/SUP]



Affiliations

Abstract

The 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 Signatures (LINCS), we simultaneously probed transcriptomic signatures of putative COVID-19 drugs and publicly available SARS-CoV-2 infected cell lines to identify novel therapeutics. We identified a shortlist of 20 candidate drugs: 8 are already under trial for the treatment of COVID-19, the remaining 12 have antiviral properties and 6 have antiviral efficacy against coronaviruses specifically, in vitro. All candidate drugs are either FDA approved or are under investigation. Our candidate drug findings are discordant with (i.e., reverse) SARS-CoV-2 transcriptome signatures generated in vitro, and a subset are also identified in transcriptome signatures generated from COVID-19 patient samples, like the MEK inhibitor selumetinib. Overall, our findings provide additional support for drugs that are already being explored as therapeutic agents for the treatment of COVID-19 and identify promising novel targets that are worthy of further investigation.
 
Back
Top Bottom