Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1038/s41598-021-84044-9

http://scihub22266oqcxt.onion/10.1038/s41598-021-84044-9
suck pdf from google scholar
33627767!7904823!33627767
unlimited free pdf from europmc33627767    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33627767      Sci+Rep 2021 ; 11 (1): 4495
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Identification of candidate repurposable drugs to combat COVID-19 using a signature-based approach #MMPMID33627767
  • O'Donovan SM; Imami A; Eby H; Henkel ND; Creeden JF; Asah S; Zhang X; Wu X; Alnafisah R; Taylor RT; Reigle J; Thorman A; Shamsaei B; Meller J; McCullumsmith RE
  • Sci Rep 2021[Feb]; 11 (1): 4495 PMID33627767show ga
  • 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.
  • |*COVID-19 Drug Treatment[MESH]
  • |Antiviral Agents/pharmacology[MESH]
  • |COVID-19/genetics/metabolism[MESH]
  • |Computational Biology/methods[MESH]
  • |Databases, Factual[MESH]
  • |Drug Discovery/methods[MESH]
  • |Drug Repositioning/*methods[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Pharmaceutical Preparations[MESH]
  • |SARS-CoV-2/drug effects/genetics/metabolism[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box