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10.21203/rs.3.rs-333578/v1 http://scihub22266oqcxt.onion/10.21203/rs.3.rs-333578/v1 33821262!8020993!33821262     free     free     free 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       Res+Sq 2021 ; ä (ä): ä Nephropedia Template TP {{tp|p=33821262|t=2021. Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19 |pdf=|usr=}}{{33821262}} gab.com Text Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19 JO: Res Sq http://www.kidney.de/pget.php?&tw=1&pmid=33821262 #FOAvip The novel SARS-CoV-2 virus emerged in December 2019 and has few effective treatments. We applied a computational drug repositioning pipeline to SARS-CoV-2 differential gene expression signatures derived from publicly available data. We utilized three independent published studies to acquire or generate lists of differentially expressed genes between control and SARS-CoV-2-infected samples. Using a rank-based pattern matching strategy based on the Kolmogorov-Smirnov Statistic, the signatures were queried against drug profiles from Connectivity Map (CMap). We validated sixteen of our top predicted hits in live SARS-CoV-2 antiviral assays in either Calu-3 or 293T-ACE2 cells. Validation experiments in human cell lines showed that 11 of the 16 compounds tested to date (including clofazimine, haloperidol and others) had measurable antiviral activity against SARS-CoV-2. These initial results are encouraging as we continue to work towards a further analysis of these predicted drugs as potential therapeutics for the treatment of COVID-19. Twit Text FOAVip Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19 ????Res Sq http://www.kidney.de/pget.php?&tw=1&pmid=33821262 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33821262 #FOAvip English Wikipedia <ref>{{Cite pmid|33821262}}</ref> Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19 #MMPMID33821262 Le BL; Andreoletti G; Oskotsky T; Vallejo-Gracia A; Rosales R; Yu K; Kosti I; Leon KE; Bunis DG; Li C; Kumar GR; White KM; Garcia-Sastre A; Ott M; Sirota M Res Sq 2021[Mar]; ä (ä): ä PMID33821262show ga The novel SARS-CoV-2 virus emerged in December 2019 and has few effective treatments. We applied a computational drug repositioning pipeline to SARS-CoV-2 differential gene expression signatures derived from publicly available data. We utilized three independent published studies to acquire or generate lists of differentially expressed genes between control and SARS-CoV-2-infected samples. Using a rank-based pattern matching strategy based on the Kolmogorov-Smirnov Statistic, the signatures were queried against drug profiles from Connectivity Map (CMap). We validated sixteen of our top predicted hits in live SARS-CoV-2 antiviral assays in either Calu-3 or 293T-ACE2 cells. Validation experiments in human cell lines showed that 11 of the 16 compounds tested to date (including clofazimine, haloperidol and others) had measurable antiviral activity against SARS-CoV-2. These initial results are encouraging as we continue to work towards a further analysis of these predicted drugs as potential therapeutics for the treatment of COVID-19. äTranscriptomics-based drug repositioning pipeline identifies therapeut(epmc).pdf DeepDyve Pubget Overpricing