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10.3390/biom12020188 http://scihub22266oqcxt.onion/10.3390/biom12020188 35204689!8961533!35204689     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomolecules 2022 ; 12 (2): ä Nephropedia Template TP {{tp|p=35204689|t=2022. Looking at COVID-19 from a Systems Biology Perspective |pdf=|usr=}}{{35204689}} gab.com Text Looking at COVID-19 from a Systems Biology Perspective JO: Biomolecules http://www.kidney.de/pget.php?&tw=1&pmid=35204689 #FOAvip The sudden outbreak and worldwide spread of the SARS-CoV-2 pandemic pushed the scientific community to find fast solutions to cope with the health emergency. COVID-19 complexity, in terms of clinical outcomes, severity, and response to therapy suggested the use of multifactorial strategies, characteristic of the network medicine, to approach the study of the pathobiology. Proteomics and interactomics especially allow to generate datasets that, reduced and represented in the forms of networks, can be analyzed with the tools of systems biology to unveil specific pathways central to virus-human host interaction. Moreover, artificial intelligence tools can be implemented for the identification of druggable targets and drug repurposing. In this review article, we provide an overview of the results obtained so far, from a systems biology perspective, in the understanding of COVID-19 pathobiology and virus-host interactions, and in the development of disease classifiers and tools for drug repurposing. Twit Text FOAVip Looking at COVID-19 from a Systems Biology Perspective ????Biomolecules http://www.kidney.de/pget.php?&tw=1&pmid=35204689 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35204689 #FOAvip English Wikipedia <ref>{{Cite pmid|35204689}}</ref> Looking at COVID-19 from a Systems Biology Perspective #MMPMID35204689 Turilli ES; Lualdi M; Fasano M Biomolecules 2022[Jan]; 12 (2): ä PMID35204689show ga The sudden outbreak and worldwide spread of the SARS-CoV-2 pandemic pushed the scientific community to find fast solutions to cope with the health emergency. COVID-19 complexity, in terms of clinical outcomes, severity, and response to therapy suggested the use of multifactorial strategies, characteristic of the network medicine, to approach the study of the pathobiology. Proteomics and interactomics especially allow to generate datasets that, reduced and represented in the forms of networks, can be analyzed with the tools of systems biology to unveil specific pathways central to virus-human host interaction. Moreover, artificial intelligence tools can be implemented for the identification of druggable targets and drug repurposing. In this review article, we provide an overview of the results obtained so far, from a systems biology perspective, in the understanding of COVID-19 pathobiology and virus-host interactions, and in the development of disease classifiers and tools for drug repurposing. |*COVID-19[MESH] |*Systems Biology[MESH] |Animals[MESH] |Artificial Intelligence[MESH] |Drug Repositioning[MESH] |Host Microbial Interactions[MESH]Looking at COVID-19 from a Systems Biology Perspective (epmc).pdf DeepDyve Pubget Overpricing