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.

10.1038/s41597-021-00848-4 http://scihub22266oqcxt.onion/10.1038/s41597-021-00848-4 33637768!7910569!33637768     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2021 ; 8 (1): 70 Nephropedia Template TP {{tp|p=33637768|t=2021. A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection |pdf=|usr=}}{{33637768}} gab.com Text A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33637768 #FOAvip SARS-CoV-2 is a novel coronavirus responsible for the COVID-19 pandemic, in which acute respiratory infections are associated with high socio-economic burden. We applied high-content screening to a well-defined collection of 5632 compounds including 3488 that have undergone previous clinical investigations across 600 indications. The compounds were screened by microscopy for their ability to inhibit SARS-CoV-2 cytopathicity in the human epithelial colorectal adenocarcinoma cell line, Caco-2. The primary screen identified 258 hits that inhibited cytopathicity by more than 75%, most of which were not previously known to be active against SARS-CoV-2 in vitro. These compounds were tested in an eight-point dose response screen using the same image-based cytopathicity readout. For the 67 most active molecules, cytotoxicity data were generated to confirm activity against SARS-CoV-2. We verified the ability of known inhibitors camostat, nafamostat, lopinavir, mefloquine, papaverine and cetylpyridinium to reduce the cytopathic effects of SARS-CoV-2, providing confidence in the validity of the assay. The high-content screening data are suitable for reanalysis across numerous drug classes and indications and may yield additional insights into SARS-CoV-2 mechanisms and potential therapeutic strategies. Twit Text FOAVip A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33637768 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33637768 #FOAvip English Wikipedia <ref>{{Cite pmid|33637768}}</ref> A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection #MMPMID33637768 Ellinger B; Bojkova D; Zaliani A; Cinatl J; Claussen C; Westhaus S; Keminer O; Reinshagen J; Kuzikov M; Wolf M; Geisslinger G; Gribbon P; Ciesek S Sci Data 2021[Feb]; 8 (1): 70 PMID33637768show ga SARS-CoV-2 is a novel coronavirus responsible for the COVID-19 pandemic, in which acute respiratory infections are associated with high socio-economic burden. We applied high-content screening to a well-defined collection of 5632 compounds including 3488 that have undergone previous clinical investigations across 600 indications. The compounds were screened by microscopy for their ability to inhibit SARS-CoV-2 cytopathicity in the human epithelial colorectal adenocarcinoma cell line, Caco-2. The primary screen identified 258 hits that inhibited cytopathicity by more than 75%, most of which were not previously known to be active against SARS-CoV-2 in vitro. These compounds were tested in an eight-point dose response screen using the same image-based cytopathicity readout. For the 67 most active molecules, cytotoxicity data were generated to confirm activity against SARS-CoV-2. We verified the ability of known inhibitors camostat, nafamostat, lopinavir, mefloquine, papaverine and cetylpyridinium to reduce the cytopathic effects of SARS-CoV-2, providing confidence in the validity of the assay. The high-content screening data are suitable for reanalysis across numerous drug classes and indications and may yield additional insights into SARS-CoV-2 mechanisms and potential therapeutic strategies. |*Drug Repositioning[MESH] |Antiviral Agents/*pharmacology[MESH] |Benzamidines[MESH] |COVID-19[MESH] |Caco-2 Cells[MESH] |Cetylpyridinium[MESH] |Drug Evaluation, Preclinical[MESH] |Esters[MESH] |Guanidines[MESH] |Humans[MESH] |Lopinavir[MESH] |Mefloquine[MESH] |Papaverine[MESH]A SARS-CoV-2 cytopathicity dataset generated by high-content screening(epmc).pdf DeepDyve Pubget Overpricing