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10.1093/bib/bbaa417 http://scihub22266oqcxt.onion/10.1093/bib/bbaa417 33569598!7929418!33569598     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 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 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       Brief+Bioinform 2021 ; 22 (2): 1430-1441 Nephropedia Template TP {{tp|p=33569598|t=2021. Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment |pdf=|usr=}}{{33569598}} gab.com Text Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment JO: Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=33569598 #FOAvip The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide. Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well as its secondary effects, there is currently a pressing need to generate new insights into the SARS-CoV-2 induced host response. Biomedical data can help to investigate new aspects of the COVID-19 pathogenesis, but source heterogeneity represents a major drawback and limitation. In this work, we applied data integration methods to develop a Unified Knowledge Space (UKS) and used it to identify a new set of genes associated with SARS-CoV-2 host response, both in vitro and in vivo. Functional analysis of these genes reveals possible long-term systemic effects of the infection, such as vascular remodelling and fibrosis. Finally, we identified a set of potentially relevant drugs targeting proteins involved in multiple steps of the host response to the virus. Twit Text FOAVip Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment ????Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=33569598 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33569598 #FOAvip English Wikipedia <ref>{{Cite pmid|33569598}}</ref> Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment #MMPMID33569598 Pavel A; Del Giudice G; Federico A; Di Lieto A; Kinaret PAS; Serra A; Greco D Brief Bioinform 2021[Mar]; 22 (2): 1430-1441 PMID33569598show ga The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide. Given the lack of a vaccine or a clear therapeutic strategy to counteract the infection as well as its secondary effects, there is currently a pressing need to generate new insights into the SARS-CoV-2 induced host response. Biomedical data can help to investigate new aspects of the COVID-19 pathogenesis, but source heterogeneity represents a major drawback and limitation. In this work, we applied data integration methods to develop a Unified Knowledge Space (UKS) and used it to identify a new set of genes associated with SARS-CoV-2 host response, both in vitro and in vivo. Functional analysis of these genes reveals possible long-term systemic effects of the infection, such as vascular remodelling and fibrosis. Finally, we identified a set of potentially relevant drugs targeting proteins involved in multiple steps of the host response to the virus. |*COVID-19 Drug Treatment[MESH] |Antiviral Agents/*therapeutic use[MESH] |COVID-19/genetics/physiopathology/virology[MESH] |Genes, Viral[MESH] |Humans[MESH] |SARS-CoV-2/genetics/isolation & purification[MESH]Integrated network analysis reveals new genes suggesting COVID-19 chro(epmc).pdf DeepDyve Pubget Overpricing