Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41467-021-21034-5 http://scihub22266oqcxt.onion/10.1038/s41467-021-21034-5 33594041!7887240!33594041     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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\33594041.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nat+Commun 2021 ; 12 (1): 780 Nephropedia Template TP {{tp|p=33594041|t=2021. Predicting mammalian hosts in which novel coronaviruses can be generated |pdf=|usr=}}{{33594041}} gab.com Text Predicting mammalian hosts in which novel coronaviruses can be generated JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33594041 #FOAvip Novel pathogenic coronaviruses - such as SARS-CoV and probably SARS-CoV-2 - arise by homologous recombination between co-infecting viruses in a single cell. Identifying possible sources of novel coronaviruses therefore requires identifying hosts of multiple coronaviruses; however, most coronavirus-host interactions remain unknown. Here, by deploying a meta-ensemble of similarity learners from three complementary perspectives (viral, mammalian and network), we predict which mammals are hosts of multiple coronaviruses. We predict that there are 11.5-fold more coronavirus-host associations, over 30-fold more potential SARS-CoV-2 recombination hosts, and over 40-fold more host species with four or more different subgenera of coronaviruses than have been observed to date at >0.5 mean probability cut-off (2.4-, 4.25- and 9-fold, respectively, at >0.9821). Our results demonstrate the large underappreciation of the potential scale of novel coronavirus generation in wild and domesticated animals. We identify high-risk species for coronavirus surveillance. Twit Text FOAVip Predicting mammalian hosts in which novel coronaviruses can be generated ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33594041 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33594041 #FOAvip English Wikipedia <ref>{{Cite pmid|33594041}}</ref> Predicting mammalian hosts in which novel coronaviruses can be generated #MMPMID33594041 Wardeh M; Baylis M; Blagrove MSC Nat Commun 2021[Feb]; 12 (1): 780 PMID33594041show ga Novel pathogenic coronaviruses - such as SARS-CoV and probably SARS-CoV-2 - arise by homologous recombination between co-infecting viruses in a single cell. Identifying possible sources of novel coronaviruses therefore requires identifying hosts of multiple coronaviruses; however, most coronavirus-host interactions remain unknown. Here, by deploying a meta-ensemble of similarity learners from three complementary perspectives (viral, mammalian and network), we predict which mammals are hosts of multiple coronaviruses. We predict that there are 11.5-fold more coronavirus-host associations, over 30-fold more potential SARS-CoV-2 recombination hosts, and over 40-fold more host species with four or more different subgenera of coronaviruses than have been observed to date at >0.5 mean probability cut-off (2.4-, 4.25- and 9-fold, respectively, at >0.9821). Our results demonstrate the large underappreciation of the potential scale of novel coronavirus generation in wild and domesticated animals. We identify high-risk species for coronavirus surveillance. |*Host-Pathogen Interactions[MESH] |Animals[MESH] |Coronavirus Infections/virology[MESH] |Coronavirus/*physiology[MESH] |Humans[MESH] |Mammals/*virology[MESH] |Models, Biological[MESH] |Phylogeny[MESH] |Recombination, Genetic/genetics[MESH]Predicting mammalian hosts in which novel coronaviruses can be generat(epmc).pdf DeepDyve Pubget Overpricing