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10.1186/s40360-020-00444-z http://scihub22266oqcxt.onion/10.1186/s40360-020-00444-z 32883368!7470683!32883368     free     free     free 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32883368.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Pharmacol+Toxicol 2020 ; 21 (1): 65 Nephropedia Template TP {{tp|p=32883368|t=2020. A protein interaction map identifies existing drugs targeting SARS-CoV-2 |pdf=|usr=}}{{32883368}} gab.com Text A protein interaction map identifies existing drugs targeting SARS-CoV-2 JO: BMC Pharmacol Toxicol http://www.kidney.de/pget.php?&tw=1&pmid=32883368 #FOAvip BACKGROUND: Severe acute respiratory syndrome coronavirus (SARS-CoV-2), an emerging Betacoronavirus, is the causative agent of COVID-19. Angiotensin converting enzyme 2 (ACE2), being the main cell receptor of SARS-CoV-2, plays a role in the entry of the virus into the cell. Currently, there are neither specific antiviral drugs for the treatment or preventive drugs such as vaccines. METHODS: We proposed a bioinformatics analysis to test in silico existing drugs as a fast way to identify an efficient therapy. We performed a differential expression analysis in order to identify differentially expressed genes in COVID-19 patients correlated with ACE-2 and we explored their direct relations with a network approach integrating also drug-gene interactions. The drugs with a central role in the network were also investigated with a molecular docking analysis. RESULTS: We found 825 differentially expressed genes correlated with ACE2. The protein-protein interactions among differentially expressed genes identified a network of 474 genes and 1130 interactions. CONCLUSIONS: The integration of drug-gene interactions in the network and molecular docking analysis allows us to obtain several drugs with antiviral activity that, alone or in combination with other treatment options, could be considered as therapeutic approaches against COVID-19. Twit Text FOAVip A protein interaction map identifies existing drugs targeting SARS-CoV-2 ????BMC Pharmacol Toxicol http://www.kidney.de/pget.php?&tw=1&pmid=32883368 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32883368 #FOAvip English Wikipedia <ref>{{Cite pmid|32883368}}</ref> A protein interaction map identifies existing drugs targeting SARS-CoV-2 #MMPMID32883368 Cava C; Bertoli G; Castiglioni I BMC Pharmacol Toxicol 2020[Sep]; 21 (1): 65 PMID32883368show ga BACKGROUND: Severe acute respiratory syndrome coronavirus (SARS-CoV-2), an emerging Betacoronavirus, is the causative agent of COVID-19. Angiotensin converting enzyme 2 (ACE2), being the main cell receptor of SARS-CoV-2, plays a role in the entry of the virus into the cell. Currently, there are neither specific antiviral drugs for the treatment or preventive drugs such as vaccines. METHODS: We proposed a bioinformatics analysis to test in silico existing drugs as a fast way to identify an efficient therapy. We performed a differential expression analysis in order to identify differentially expressed genes in COVID-19 patients correlated with ACE-2 and we explored their direct relations with a network approach integrating also drug-gene interactions. The drugs with a central role in the network were also investigated with a molecular docking analysis. RESULTS: We found 825 differentially expressed genes correlated with ACE2. The protein-protein interactions among differentially expressed genes identified a network of 474 genes and 1130 interactions. CONCLUSIONS: The integration of drug-gene interactions in the network and molecular docking analysis allows us to obtain several drugs with antiviral activity that, alone or in combination with other treatment options, could be considered as therapeutic approaches against COVID-19. |*Drug Repositioning[MESH] |Angiotensin-Converting Enzyme 2[MESH] |Antiviral Agents/*analysis/*pharmacology/therapeutic use[MESH] |Betacoronavirus/*drug effects[MESH] |COVID-19[MESH] |Coronavirus Infections/*drug therapy/*genetics/prevention & control/virology[MESH] |Gene Expression Regulation[MESH] |Humans[MESH] |Molecular Docking Simulation[MESH] |Molecular Targeted Therapy[MESH] |Pandemics/prevention & control[MESH] |Peptidyl-Dipeptidase A/genetics[MESH] |Pneumonia, Viral/*drug therapy/*genetics/prevention & control/virology[MESH] |Protein Interaction Maps/*genetics[MESH]A protein interaction map identifies existing drugs targeting SARS-CoV(epmc).pdf DeepDyve Pubget Overpricing