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10.1080/21645515.2020.1823777 http://scihub22266oqcxt.onion/10.1080/21645515.2020.1823777 33175614!7754929!33175614     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33175614&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       Hum+Vaccin+Immunother 2021 ; 17 (4): 1097-1108 Nephropedia Template TP {{tp|p=33175614|t=2021. COVID-19 coronavirus vaccine T cell epitope prediction analysis based on distributions of HLA class I loci (HLA-A, -B, -C) across global populations |pdf=|usr=}}{{33175614}} gab.com Text COVID-19 coronavirus vaccine T cell epitope prediction analysis based on distributions of HLA class I loci (HLA-A, -B, -C) across global populations JO: Hum Vaccin Immunother http://www.kidney.de/pget.php?&tw=1&pmid=33175614 #FOAvip T cell immunity, such as CD4 and/or CD8 T cell responses, plays a vital role in controlling the virus infection and pathological damage. Several studies have reported SARS-CoV-2 proteins could serve as ideal vaccine candidates against SARS-CoV-2 infection by activating the T cell responses. In the current study, based on the SARS-CoV-2 sequence and distribution of host human leukocyte antigen (HLA), we predicted the possible epitopes for the vaccine against SARS-CoV-2 infections. Firstly, the current study retrieved the SARS-CoV-2 S and N protein sequences from the NCBI Database. Then, using the Immune Epitope Database Analysis Resource, we predicted the CTL epitopes of the SARS-CoV-2 S and N proteins according to worldwide frequency distributions of HLA-A, -B, and -C alleles (>1%). Our results predicted 90 and 106 epitopes of N and S proteins, respectively. Epitope cluster analysis showed 16 and 34 respective clusters of SARS-CoV-2 N and S proteins, which covered 95.91% and 96.14% of the global population, respectively. After epitope conservancy analysis, 8 N protein epitopes and 6 S protein epitopes showed conservancy within two SARS-CoV-2 types. Of these 14 epitopes, 13 could cover SARS coronavirus and Bat SARS-like coronavirus. The remaining epitope (KWPWYIWLGF(1211-1220)) could cover MERS coronavirus. Finally, the 14-epitope combination could vaccinate 89.60% of all individuals worldwide. Our results propose single or combined CTL epitopes predicted in the current study as candidates for vaccines to effectively control SARS-CoV-2 infection and development. Twit Text FOAVip COVID-19 coronavirus vaccine T cell epitope prediction analysis based on distributions of HLA class I loci (HLA-A, -B, -C) across global populations ????Hum Vaccin Immunother http://www.kidney.de/pget.php?&tw=1&pmid=33175614 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33175614 #FOAvip English Wikipedia <ref>{{Cite pmid|33175614}}</ref> COVID-19 coronavirus vaccine T cell epitope prediction analysis based on distributions of HLA class I loci (HLA-A, -B, -C) across global populations #MMPMID33175614 Cun Y; Li C; Shi L; Sun M; Dai S; Sun L; Shi L; Yao Y Hum Vaccin Immunother 2021[Apr]; 17 (4): 1097-1108 PMID33175614show ga T cell immunity, such as CD4 and/or CD8 T cell responses, plays a vital role in controlling the virus infection and pathological damage. Several studies have reported SARS-CoV-2 proteins could serve as ideal vaccine candidates against SARS-CoV-2 infection by activating the T cell responses. In the current study, based on the SARS-CoV-2 sequence and distribution of host human leukocyte antigen (HLA), we predicted the possible epitopes for the vaccine against SARS-CoV-2 infections. Firstly, the current study retrieved the SARS-CoV-2 S and N protein sequences from the NCBI Database. Then, using the Immune Epitope Database Analysis Resource, we predicted the CTL epitopes of the SARS-CoV-2 S and N proteins according to worldwide frequency distributions of HLA-A, -B, and -C alleles (>1%). Our results predicted 90 and 106 epitopes of N and S proteins, respectively. Epitope cluster analysis showed 16 and 34 respective clusters of SARS-CoV-2 N and S proteins, which covered 95.91% and 96.14% of the global population, respectively. After epitope conservancy analysis, 8 N protein epitopes and 6 S protein epitopes showed conservancy within two SARS-CoV-2 types. Of these 14 epitopes, 13 could cover SARS coronavirus and Bat SARS-like coronavirus. The remaining epitope (KWPWYIWLGF(1211-1220)) could cover MERS coronavirus. Finally, the 14-epitope combination could vaccinate 89.60% of all individuals worldwide. Our results propose single or combined CTL epitopes predicted in the current study as candidates for vaccines to effectively control SARS-CoV-2 infection and development. |CD4-Positive T-Lymphocytes/immunology[MESH] |CD8-Positive T-Lymphocytes/immunology[MESH] |COVID-19 Vaccines/*immunology[MESH] |COVID-19/immunology/prevention & control[MESH] |Coronavirus Nucleocapsid Proteins/*immunology[MESH] |Epitopes, B-Lymphocyte/immunology[MESH] |Epitopes, T-Lymphocyte/*immunology[MESH] |HLA-A Antigens/immunology[MESH] |HLA-B Antigens/immunology[MESH] |HLA-C Antigens/immunology[MESH] |Humans[MESH] |Immunogenicity, Vaccine/immunology[MESH] |Phosphoproteins/immunology[MESH] |SARS-CoV-2/*immunology[MESH]COVID-19 coronavirus vaccine T cell epitope prediction analysis based (epmc).pdf DeepDyve Pubget Overpricing