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10.1128/mSystems.00297-20 http://scihub22266oqcxt.onion/10.1128/mSystems.00297-20 32291351!7159901!32291351     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32291351&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       mSystems 2020 ; 5 (2): ? Nephropedia Template TP {{tp|p=32291351|t=2020. Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data |pdf=|usr=}}{{32291351}} gab.com Text Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data JO: mSystems http://www.kidney.de/pget.php?&tw=1&pmid=32291351 #FOAvip As of today (7 April 2020), more than 81,000 people around the world have died from the coronavirus disease 19 (COVID-19) pandemic. There is no approved drug or vaccine for COVID-19, although more than 10 clinical trials have been launched to test potential drugs. In an urgent response to this pandemic, I developed a bioinformatics pipeline to identify compounds and drug candidates to potentially treat COVID-19. This pipeline is based on publicly available single-cell RNA sequencing (scRNA-seq) data and the drug perturbation database "Library of Integrated Network-Based Cellular Signatures" (LINCS). I developed a ranking score system that prioritizes these drugs or small molecules. The four drugs with the highest total score are didanosine, benzyl-quinazolin-4-yl-amine, camptothecin, and RO-90-7501. In conclusion, I have demonstrated the utility of bioinformatics for identifying drugs than can be repurposed for potentially treating COVID-19 patients. Twit Text FOAVip Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data ????mSystems http://www.kidney.de/pget.php?&tw=1&pmid=32291351 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32291351 #FOAvip English Wikipedia <ref>{{Cite pmid|32291351}}</ref> Repurposing Didanosine as a Potential Treatment for COVID-19 Using Single-Cell RNA Sequencing Data #MMPMID32291351 Alakwaa FM mSystems 2020[Apr]; 5 (2): ? PMID32291351show ga As of today (7 April 2020), more than 81,000 people around the world have died from the coronavirus disease 19 (COVID-19) pandemic. There is no approved drug or vaccine for COVID-19, although more than 10 clinical trials have been launched to test potential drugs. In an urgent response to this pandemic, I developed a bioinformatics pipeline to identify compounds and drug candidates to potentially treat COVID-19. This pipeline is based on publicly available single-cell RNA sequencing (scRNA-seq) data and the drug perturbation database "Library of Integrated Network-Based Cellular Signatures" (LINCS). I developed a ranking score system that prioritizes these drugs or small molecules. The four drugs with the highest total score are didanosine, benzyl-quinazolin-4-yl-amine, camptothecin, and RO-90-7501. In conclusion, I have demonstrated the utility of bioinformatics for identifying drugs than can be repurposed for potentially treating COVID-19 patients. ?Repurposing Didanosine as a Potential Treatment for COVID-19 Using Sin(epmc).pdf DeepDyve Pubget Overpricing