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10.1021/acs.jpclett.0c02765 http://scihub22266oqcxt.onion/10.1021/acs.jpclett.0c02765 33179934!8150094!33179934     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33179934&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       J+Phys+Chem+Lett 2020 ; 11 (23): 10007-10015 Nephropedia Template TP {{tp|p=33179934|t=2020. Decoding Asymptomatic COVID-19 Infection and Transmission |pdf=|usr=}}{{33179934}} gab.com Text Decoding Asymptomatic COVID-19 Infection and Transmission JO: J Phys Chem Lett http://www.kidney.de/pget.php?&tw=1&pmid=33179934 #FOAvip One of the major challenges in controlling the coronavirus disease 2019 (COVID-19) outbreak is its asymptomatic transmission. The pathogenicity and virulence of asymptomatic COVID-19 remain mysterious. On the basis of the genotyping of 75775 SARS-CoV-2 genome isolates, we reveal that asymptomatic infection is linked to SARS-CoV-2 11083G>T mutation (i.e., L37F at nonstructure protein 6 (NSP6)). By analyzing the distribution of 11083G>T in various countries, we unveil that 11083G>T may correlate with the hypotoxicity of SARS-CoV-2. Moreover, we show a global decaying tendency of the 11083G>T mutation ratio indicating that 11083G>T hinders the SARS-CoV-2 transmission capacity. Artificial intelligence, sequence alignment, and network analysis are applied to show that NSP6 mutation L37F may have compromised the virus's ability to undermine the innate cellular defense against viral infection via autophagy regulation. This assessment is in good agreement with our genotyping of the SARS-CoV-2 evolution and transmission across various countries and regions over the past few months. Twit Text FOAVip Decoding Asymptomatic COVID-19 Infection and Transmission ????J Phys Chem Lett http://www.kidney.de/pget.php?&tw=1&pmid=33179934 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33179934 #FOAvip English Wikipedia <ref>{{Cite pmid|33179934}}</ref> Decoding Asymptomatic COVID-19 Infection and Transmission #MMPMID33179934 Wang R; Chen J; Hozumi Y; Yin C; Wei GW J Phys Chem Lett 2020[Dec]; 11 (23): 10007-10015 PMID33179934show ga One of the major challenges in controlling the coronavirus disease 2019 (COVID-19) outbreak is its asymptomatic transmission. The pathogenicity and virulence of asymptomatic COVID-19 remain mysterious. On the basis of the genotyping of 75775 SARS-CoV-2 genome isolates, we reveal that asymptomatic infection is linked to SARS-CoV-2 11083G>T mutation (i.e., L37F at nonstructure protein 6 (NSP6)). By analyzing the distribution of 11083G>T in various countries, we unveil that 11083G>T may correlate with the hypotoxicity of SARS-CoV-2. Moreover, we show a global decaying tendency of the 11083G>T mutation ratio indicating that 11083G>T hinders the SARS-CoV-2 transmission capacity. Artificial intelligence, sequence alignment, and network analysis are applied to show that NSP6 mutation L37F may have compromised the virus's ability to undermine the innate cellular defense against viral infection via autophagy regulation. This assessment is in good agreement with our genotyping of the SARS-CoV-2 evolution and transmission across various countries and regions over the past few months. |*Asymptomatic Infections[MESH] |Artificial Intelligence[MESH] |COVID-19/*transmission/virology[MESH] |Genome, Viral[MESH] |Genotype[MESH] |High-Throughput Nucleotide Sequencing[MESH] |Humans[MESH] |Mutation[MESH] |SARS-CoV-2/*genetics[MESH]Decoding Asymptomatic COVID-19 Infection and Transmission (epmc).pdf DeepDyve Pubget Overpricing