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10.3390/cells11010080 http://scihub22266oqcxt.onion/10.3390/cells11010080 35011641!8750765!35011641     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=35011641&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 219.6 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\35011641.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Cells 2021 ; 11 (1): ä Nephropedia Template TP {{tp|p=35011641|t=2021. The Genomic Physics of COVID-19 Pathogenesis and Spread |pdf=|usr=}}{{35011641}} gab.com Text The Genomic Physics of COVID-19 Pathogenesis and Spread JO: Cells http://www.kidney.de/pget.php?&tw=1&pmid=35011641 #FOAvip Coronavirus disease (COVID-19) spreads mainly through close contact of infected persons, but the molecular mechanisms underlying its pathogenesis and transmission remain unknown. Here, we propose a statistical physics model to coalesce all molecular entities into a cohesive network in which the roadmap of how each entity mediates the disease can be characterized. We argue that the process of how a transmitter transforms the virus into a recipient constitutes a triad unit that propagates COVID-19 along reticulate paths. Intrinsically, person-to-person transmissibility may be mediated by how genes interact transversely across transmitter, recipient, and viral genomes. We integrate quantitative genetic theory into hypergraph theory to code the main effects of the three genomes as nodes, pairwise cross-genome epistasis as edges, and high-order cross-genome epistasis as hyperedges in a series of mobile hypergraphs. Charting a genome-wide atlas of horizontally epistatic hypergraphs can facilitate the systematic characterization of the community genetic mechanisms underlying COVID-19 spread. This atlas can typically help design effective containment and mitigation strategies and screen and triage those more susceptible persons and those asymptomatic carriers who are incubation virus transmitters. Twit Text FOAVip The Genomic Physics of COVID-19 Pathogenesis and Spread ????Cells http://www.kidney.de/pget.php?&tw=1&pmid=35011641 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35011641 #FOAvip English Wikipedia <ref>{{Cite pmid|35011641}}</ref> The Genomic Physics of COVID-19 Pathogenesis and Spread #MMPMID35011641 Dong A; Zhao J; Griffin C; Wu R Cells 2021[Dec]; 11 (1): ä PMID35011641show ga Coronavirus disease (COVID-19) spreads mainly through close contact of infected persons, but the molecular mechanisms underlying its pathogenesis and transmission remain unknown. Here, we propose a statistical physics model to coalesce all molecular entities into a cohesive network in which the roadmap of how each entity mediates the disease can be characterized. We argue that the process of how a transmitter transforms the virus into a recipient constitutes a triad unit that propagates COVID-19 along reticulate paths. Intrinsically, person-to-person transmissibility may be mediated by how genes interact transversely across transmitter, recipient, and viral genomes. We integrate quantitative genetic theory into hypergraph theory to code the main effects of the three genomes as nodes, pairwise cross-genome epistasis as edges, and high-order cross-genome epistasis as hyperedges in a series of mobile hypergraphs. Charting a genome-wide atlas of horizontally epistatic hypergraphs can facilitate the systematic characterization of the community genetic mechanisms underlying COVID-19 spread. This atlas can typically help design effective containment and mitigation strategies and screen and triage those more susceptible persons and those asymptomatic carriers who are incubation virus transmitters. |*Gene Expression Regulation[MESH] |Algorithms[MESH] |COVID-19/epidemiology/*transmission/virology[MESH] |Epistasis, Genetic[MESH] |Genome, Viral/*genetics[MESH] |Genome-Wide Association Study/methods[MESH] |Genomics/*methods[MESH] |Humans[MESH] |Models, Genetic[MESH] |Pandemics[MESH] |SARS-CoV-2/*genetics/pathogenicity[MESH]The Genomic Physics of COVID-19 Pathogenesis and Spread (epmc).pdf DeepDyve Pubget Overpricing