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10.1016/j.celrep.2020.107918 http://scihub22266oqcxt.onion/10.1016/j.celrep.2020.107918 32668215!7332464!32668215     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell+Rep 2020 ; 32 (3): 107918 Nephropedia Template TP {{tp|p=32668215|t=2020. Human-IgG-Neutralizing Monoclonal Antibodies Block the SARS-CoV-2 Infection |pdf=|usr=}}{{32668215}} gab.com Text Human-IgG-Neutralizing Monoclonal Antibodies Block the SARS-CoV-2 Infection JO: Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=32668215 #FOAvip Coronavirus disease 2019 (COVID-19) has become a worldwide threat to humans, and neutralizing antibodies have therapeutic potential. We have purified more than 1,000 memory B cells specific to SARS-CoV-2 S1 or its RBD (receptor binding domain) and obtain 729 paired heavy- and light-chain fragments. Among these, 178 antibodies test positive for antigen binding, and the majority of the top 17 binders with EC(50) below 1 nM are RBD binders. Furthermore, we identify 11 neutralizing antibodies, eight of which show IC(50) within 10 nM, and the best one, 414-1, with IC(50) of 1.75 nM. Through epitope mapping, we find three main epitopes in RBD recognized by these antibodies, and epitope-B antibody 553-15 could substantially enhance the neutralizing abilities of most of the other antibodies. We also find that 515-5 could cross neutralize the SARS-CoV pseudovirus. Altogether, our study provides 11 potent human neutralizing antibodies for COVID-19 as therapeutic candidates. Twit Text FOAVip Human-IgG-Neutralizing Monoclonal Antibodies Block the SARS-CoV-2 Infection ????Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=32668215 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32668215 #FOAvip English Wikipedia <ref>{{Cite pmid|32668215}}</ref> Human-IgG-Neutralizing Monoclonal Antibodies Block the SARS-CoV-2 Infection #MMPMID32668215 Wan J; Xing S; Ding L; Wang Y; Gu C; Wu Y; Rong B; Li C; Wang S; Chen K; He C; Zhu D; Yuan S; Qiu C; Zhao C; Nie L; Gao Z; Jiao J; Zhang X; Wang X; Ying T; Wang H; Xie Y; Lu Y; Xu J; Lan F Cell Rep 2020[Jul]; 32 (3): 107918 PMID32668215show ga Coronavirus disease 2019 (COVID-19) has become a worldwide threat to humans, and neutralizing antibodies have therapeutic potential. We have purified more than 1,000 memory B cells specific to SARS-CoV-2 S1 or its RBD (receptor binding domain) and obtain 729 paired heavy- and light-chain fragments. Among these, 178 antibodies test positive for antigen binding, and the majority of the top 17 binders with EC(50) below 1 nM are RBD binders. Furthermore, we identify 11 neutralizing antibodies, eight of which show IC(50) within 10 nM, and the best one, 414-1, with IC(50) of 1.75 nM. Through epitope mapping, we find three main epitopes in RBD recognized by these antibodies, and epitope-B antibody 553-15 could substantially enhance the neutralizing abilities of most of the other antibodies. We also find that 515-5 could cross neutralize the SARS-CoV pseudovirus. Altogether, our study provides 11 potent human neutralizing antibodies for COVID-19 as therapeutic candidates. |Antibodies, Monoclonal/*immunology/therapeutic use[MESH] |Antibodies, Neutralizing/*immunology[MESH] |Antibodies, Viral/*immunology[MESH] |B-Lymphocytes/immunology[MESH] |Betacoronavirus/*immunology[MESH] |COVID-19[MESH] |Coronavirus Infections/therapy[MESH] |Epitope Mapping[MESH] |Epitopes/immunology[MESH] |Humans[MESH] |Immunologic Memory/immunology[MESH] |Neutralization Tests[MESH] |Pandemics[MESH] |Pneumonia, Viral/therapy[MESH] |Protein Domains/immunology[MESH] |Receptors, Virus/*immunology[MESH] |SARS-CoV-2[MESH]Human-IgG-Neutralizing Monoclonal Antibodies Block the SARS-CoV-2 Infe(epmc).pdf DeepDyve Pubget Overpricing