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10.3390/biom11050644 http://scihub22266oqcxt.onion/10.3390/biom11050644 33925394!8147026!33925394     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 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomolecules 2021 ; 11 (5): ä Nephropedia Template TP {{tp|p=33925394|t=2021. Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational-Experimental Approach |pdf=|usr=}}{{33925394}} gab.com Text Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational-Experimental Approach JO: Biomolecules http://www.kidney.de/pget.php?&tw=1&pmid=33925394 #FOAvip The SARS-CoV-2 outbreak was declared a worldwide pandemic in 2020. Infection triggers the respiratory tract disease COVID-19, which is accompanied by serious changes in clinical biomarkers such as hemoglobin and interleukins. The same parameters are altered during hemolysis, which is characterized by an increase in labile heme. We present two computational-experimental approaches aimed at analyzing a potential link between heme-related and COVID-19 pathophysiologies. Herein, we performed a detailed analysis of the common pathways induced by heme and SARS-CoV-2 by superimposition of knowledge graphs covering heme biology and COVID-19 pathophysiology. Focus was laid on inflammatory pathways and distinct biomarkers as the linking elements. In a second approach, four COVID-19-related proteins, the host cell proteins ACE2 and TMPRSS2 as well as the viral proteins 7a and S protein were computationally analyzed as potential heme-binding proteins with an experimental validation. The results contribute to the understanding of the progression of COVID-19 infections in patients with different clinical backgrounds and may allow for a more individual diagnosis and therapy in the future. Twit Text FOAVip Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational-Experimental Approach ????Biomolecules http://www.kidney.de/pget.php?&tw=1&pmid=33925394 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33925394 #FOAvip English Wikipedia <ref>{{Cite pmid|33925394}}</ref> Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Computational-Experimental Approach #MMPMID33925394 Hopp MT; Domingo-Fernandez D; Gadiya Y; Detzel MS; Graf R; Schmalohr BF; Kodamullil AT; Imhof D; Hofmann-Apitius M Biomolecules 2021[Apr]; 11 (5): ä PMID33925394show ga The SARS-CoV-2 outbreak was declared a worldwide pandemic in 2020. Infection triggers the respiratory tract disease COVID-19, which is accompanied by serious changes in clinical biomarkers such as hemoglobin and interleukins. The same parameters are altered during hemolysis, which is characterized by an increase in labile heme. We present two computational-experimental approaches aimed at analyzing a potential link between heme-related and COVID-19 pathophysiologies. Herein, we performed a detailed analysis of the common pathways induced by heme and SARS-CoV-2 by superimposition of knowledge graphs covering heme biology and COVID-19 pathophysiology. Focus was laid on inflammatory pathways and distinct biomarkers as the linking elements. In a second approach, four COVID-19-related proteins, the host cell proteins ACE2 and TMPRSS2 as well as the viral proteins 7a and S protein were computationally analyzed as potential heme-binding proteins with an experimental validation. The results contribute to the understanding of the progression of COVID-19 infections in patients with different clinical backgrounds and may allow for a more individual diagnosis and therapy in the future. |Angiotensin-Converting Enzyme 2/metabolism[MESH] |COVID-19/*metabolism/pathology[MESH] |Computational Biology[MESH] |Heme/*metabolism[MESH] |Hemolysis[MESH] |Host-Pathogen Interactions[MESH] |Humans[MESH] |Inflammation/metabolism/pathology[MESH] |Models, Biological[MESH] |Models, Molecular[MESH] |Protein Binding[MESH] |Protein Interaction Maps[MESH] |SARS-CoV-2/*physiology[MESH] |Serine Endopeptidases/metabolism[MESH]Linking COVID-19 and Heme-Driven Pathophysiologies: A Combined Comput(epmc).pdf DeepDyve Pubget Overpricing