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


10.1088/1478-3975/abcb66

http://scihub22266oqcxt.onion/10.1088/1478-3975/abcb66
suck pdf from google scholar
33203811!ä!33203811

Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33203811&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215

suck abstract from ncbi


Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33203811      Phys+Biol 2021 ; 18 (2): 025001
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Potential SARS-CoV-2 protease M(pro) inhibitors: repurposing FDA-approved drugs #MMPMID33203811
  • Kouznetsova VL; Huang DZ; Tsigelny IF
  • Phys Biol 2021[Feb]; 18 (2): 025001 PMID33203811show ga
  • Using as a template the crystal structure of the SARS-CoV-2 main protease, we developed a pharmacophore model of functional centers of the protease inhibitor-binding pocket. With this model, we conducted data mining of the conformational database of FDA-approved drugs. This search brought 64 compounds that can be potential inhibitors of the SARS-CoV-2 protease. The conformations of these compounds undergone 3D fingerprint similarity clusterization. Then we conducted docking of possible conformers of these drugs to the binding pocket of the protease. We also conducted the same docking of random compounds. Free energies of the docking interaction for the selected compounds were clearly lower than random compounds. Three of the selected compounds were carfilzomib, cyclosporine A, and azithromycin-the drugs that already are tested for COVID-19 treatment. Among the selected compounds are two HIV protease inhibitors and two hepatitis C protease inhibitors. We recommend testing of the selected compounds for treatment of COVID-19.
  • |*COVID-19 Drug Treatment[MESH]
  • |*Drug Repositioning[MESH]
  • |Antiviral Agents/chemistry/pharmacology[MESH]
  • |COVID-19/virology[MESH]
  • |Coronavirus 3C Proteases/*antagonists & inhibitors/metabolism[MESH]
  • |Drug Discovery[MESH]
  • |Humans[MESH]
  • |Molecular Docking Simulation[MESH]
  • |Protease Inhibitors/chemistry/*pharmacology[MESH]
  • |SARS-CoV-2/drug effects/*enzymology[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box