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10.1038/s41598-021-02432-7 http://scihub22266oqcxt.onion/10.1038/s41598-021-02432-7 34857794!8640055!34857794     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 265.2 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 Deprecated: Implicit conversion from float 265.2 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 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 23315 Nephropedia Template TP {{tp|p=34857794|t=2021. Multiscale interactome analysis coupled with off-target drug predictions reveals drug repurposing candidates for human coronavirus disease |pdf=|usr=}}{{34857794}} gab.com Text Multiscale interactome analysis coupled with off-target drug predictions reveals drug repurposing candidates for human coronavirus disease JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=34857794 #FOAvip The COVID-19 pandemic has highlighted the urgent need for the identification of new antiviral drug therapies for a variety of diseases. COVID-19 is caused by infection with the human coronavirus SARS-CoV-2, while other related human coronaviruses cause diseases ranging from severe respiratory infections to the common cold. We developed a computational approach to identify new antiviral drug targets and repurpose clinically-relevant drug compounds for the treatment of a range of human coronavirus diseases. Our approach is based on graph convolutional networks (GCN) and involves multiscale host-virus interactome analysis coupled to off-target drug predictions. Cell-based experimental assessment reveals several clinically-relevant drug repurposing candidates predicted by the in silico analyses to have antiviral activity against human coronavirus infection. In particular, we identify the MET inhibitor capmatinib as having potent and broad antiviral activity against several coronaviruses in a MET-independent manner, as well as novel roles for host cell proteins such as IRAK1/4 in supporting human coronavirus infection, which can inform further drug discovery studies. Twit Text FOAVip Multiscale interactome analysis coupled with off-target drug predictions reveals drug repurposing candidates for human coronavirus disease ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=34857794 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34857794 #FOAvip English Wikipedia <ref>{{Cite pmid|34857794}}</ref> Multiscale interactome analysis coupled with off-target drug predictions reveals drug repurposing candidates for human coronavirus disease #MMPMID34857794 Sugiyama MG; Cui H; Redka DS; Karimzadeh M; Rujas E; Maan H; Hayat S; Cheung K; Misra R; McPhee JB; Viirre RD; Haller A; Botelho RJ; Karshafian R; Sabatinos SA; Fairn GD; Madani Tonekaboni SA; Windemuth A; Julien JP; Shahani V; MacKinnon SS; Wang B; Antonescu CN Sci Rep 2021[Dec]; 11 (1): 23315 PMID34857794show ga The COVID-19 pandemic has highlighted the urgent need for the identification of new antiviral drug therapies for a variety of diseases. COVID-19 is caused by infection with the human coronavirus SARS-CoV-2, while other related human coronaviruses cause diseases ranging from severe respiratory infections to the common cold. We developed a computational approach to identify new antiviral drug targets and repurpose clinically-relevant drug compounds for the treatment of a range of human coronavirus diseases. Our approach is based on graph convolutional networks (GCN) and involves multiscale host-virus interactome analysis coupled to off-target drug predictions. Cell-based experimental assessment reveals several clinically-relevant drug repurposing candidates predicted by the in silico analyses to have antiviral activity against human coronavirus infection. In particular, we identify the MET inhibitor capmatinib as having potent and broad antiviral activity against several coronaviruses in a MET-independent manner, as well as novel roles for host cell proteins such as IRAK1/4 in supporting human coronavirus infection, which can inform further drug discovery studies. |Antiviral Agents/*pharmacology[MESH] |Benzamides/pharmacology[MESH] |COVID-19 Drug Treatment[MESH] |Cell Line[MESH] |Computer Simulation[MESH] |Coronavirus/chemistry/*drug effects/*metabolism[MESH] |Databases, Pharmaceutical[MESH] |Drug Development/*methods[MESH] |Drug Discovery/methods[MESH] |Drug Repositioning/*methods[MESH] |Host-Pathogen Interactions[MESH] |Humans[MESH] |Imidazoles/pharmacology[MESH] |Interleukin-1 Receptor-Associated Kinases/metabolism[MESH] |SARS-CoV-2/chemistry/drug effects/metabolism/physiology[MESH]Multiscale interactome analysis coupled with off-target drug predictio(epmc).pdf DeepDyve Pubget Overpricing