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10.3389/fphar.2021.598925 http://scihub22266oqcxt.onion/10.3389/fphar.2021.598925 33716737!7952300!33716737     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33716737&cmd=llinks): Failed to open stream: HTTP request failed! 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In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 |pdf=|usr=}}{{33716737}} gab.com Text In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 JO: Front Pharmacol http://www.kidney.de/pget.php?&tw=1&pmid=33716737 #FOAvip Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome network, single-cell RNA sequencing of human tissues, and artificial neural networks to reveal potential therapeutic targets for drug repurposing against COVID-19. Results: We screened 1,584 high-confidence immune system proteins in ACE2 and TMPRSS2 co-expressing cells, finding 25 potential therapeutic targets significantly overexpressed in nasal goblet secretory cells, lung type II pneumocytes, and ileal absorptive enterocytes of patients with several immunopathologies. Then, we performed fully connected deep neural networks to find the best multitask classification model to predict the activity of 10,672 drugs, obtaining several approved drugs, compounds under investigation, and experimental compounds with the highest area under the receiver operating characteristics. Conclusion: After being effectively analyzed in clinical trials, these drugs can be considered for treatment of severe COVID-19 patients. Scripts can be downloaded at https://github.com/muntisa/immuno-drug-repurposing-COVID-19. Twit Text FOAVip In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 ????Front Pharmacol http://www.kidney.de/pget.php?&tw=1&pmid=33716737 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33716737 #FOAvip English Wikipedia <ref>{{Cite pmid|33716737}}</ref> In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 #MMPMID33716737 Lopez-Cortes A; Guevara-Ramirez P; Kyriakidis NC; Barba-Ostria C; Leon Caceres A; Guerrero S; Ortiz-Prado E; Munteanu CR; Tejera E; Cevallos-Robalino D; Gomez-Jaramillo AM; Simbana-Rivera K; Granizo-Martinez A; Perez-M G; Moreno S; Garcia-Cardenas JM; Zambrano AK; Perez-Castillo Y; Cabrera-Andrade A; Puig San Andres L; Proano-Castro C; Bautista J; Quevedo A; Varela N; Quinones LA; Paz-Y-Mino C Front Pharmacol 2021[]; 12 (ä): 598925 PMID33716737show ga Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome network, single-cell RNA sequencing of human tissues, and artificial neural networks to reveal potential therapeutic targets for drug repurposing against COVID-19. Results: We screened 1,584 high-confidence immune system proteins in ACE2 and TMPRSS2 co-expressing cells, finding 25 potential therapeutic targets significantly overexpressed in nasal goblet secretory cells, lung type II pneumocytes, and ileal absorptive enterocytes of patients with several immunopathologies. Then, we performed fully connected deep neural networks to find the best multitask classification model to predict the activity of 10,672 drugs, obtaining several approved drugs, compounds under investigation, and experimental compounds with the highest area under the receiver operating characteristics. Conclusion: After being effectively analyzed in clinical trials, these drugs can be considered for treatment of severe COVID-19 patients. Scripts can be downloaded at https://github.com/muntisa/immuno-drug-repurposing-COVID-19. äIn silico Analyses of Immune System Protein Interactome Network, Singl(epmc).pdf DeepDyve Pubget Overpricing