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10.1101/2021.11.26.470157 http://scihub22266oqcxt.onion/10.1101/2021.11.26.470157 34873599!8647650!34873599     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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       bioRxiv 2021 ; ä (ä): ä Nephropedia Template TP {{tp|p=34873599|t=2021. A large-scale systematic survey of SARS-CoV-2 antibodies reveals recurring molecular features |pdf=|usr=}}{{34873599}} gab.com Text A large-scale systematic survey of SARS-CoV-2 antibodies reveals recurring molecular features JO: bioRxiv http://www.kidney.de/pget.php?&tw=1&pmid=34873599 #FOAvip In the past two years, the global research in combating COVID-19 pandemic has led to isolation and characterization of numerous human antibodies to the SARS-CoV-2 spike. This enormous collection of antibodies provides an unprecedented opportunity to study the antibody response to a single antigen. From mining information derived from 88 research publications and 13 patents, we have assembled a dataset of a^(1/4)8,000 human antibodies to the SARS-CoV-2 spike from >200 donors. Analysis of antibody targeting of different domains of the spike protein reveals a number of common (public) responses to SARS-CoV-2, exemplified via recurring IGHV/IGK(L)V pairs, CDR H3 sequences, IGHD usage, and somatic hypermutation. We further present a proof-of-concept for prediction of antigen specificity using deep learning to differentiate sequences of antibodies to SARS-CoV-2 spike and to influenza hemagglutinin. Overall, this study not only provides an informative resource for antibody and vaccine research, but fundamentally advances our molecular understanding of public antibody responses to a viral pathogen. Twit Text FOAVip A large-scale systematic survey of SARS-CoV-2 antibodies reveals recurring molecular features ????bioRxiv http://www.kidney.de/pget.php?&tw=1&pmid=34873599 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34873599 #FOAvip English Wikipedia <ref>{{Cite pmid|34873599}}</ref> A large-scale systematic survey of SARS-CoV-2 antibodies reveals recurring molecular features #MMPMID34873599 Wang Y; Yuan M; Peng J; Wilson IA; Wu NC bioRxiv 2021[Nov]; ä (ä): ä PMID34873599show ga In the past two years, the global research in combating COVID-19 pandemic has led to isolation and characterization of numerous human antibodies to the SARS-CoV-2 spike. This enormous collection of antibodies provides an unprecedented opportunity to study the antibody response to a single antigen. From mining information derived from 88 research publications and 13 patents, we have assembled a dataset of a^(1/4)8,000 human antibodies to the SARS-CoV-2 spike from >200 donors. Analysis of antibody targeting of different domains of the spike protein reveals a number of common (public) responses to SARS-CoV-2, exemplified via recurring IGHV/IGK(L)V pairs, CDR H3 sequences, IGHD usage, and somatic hypermutation. We further present a proof-of-concept for prediction of antigen specificity using deep learning to differentiate sequences of antibodies to SARS-CoV-2 spike and to influenza hemagglutinin. Overall, this study not only provides an informative resource for antibody and vaccine research, but fundamentally advances our molecular understanding of public antibody responses to a viral pathogen. äA large-scale systematic survey of SARS-CoV-2 antibodies reveals recur(epmc).pdf DeepDyve Pubget Overpricing