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10.1038/s10038-020-0771-5 http://scihub22266oqcxt.onion/10.1038/s10038-020-0771-5 32372051!7200206!32372051     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Hum+Genet 2020 ; 65 (7): 569-575 Nephropedia Template TP {{tp|p=32372051|t=2020. Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2 |pdf=|usr=}}{{32372051}} gab.com Text Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2 JO: J Hum Genet http://www.kidney.de/pget.php?&tw=1&pmid=32372051 #FOAvip To control and prevent the current COVID-19 pandemic, the development of novel vaccines is an emergent issue. In addition, we need to develop tools that can measure/monitor T-cell and B-cell responses to know how our immune system is responding to this deleterious virus. However, little information is currently available about the immune target epitopes of novel coronavirus (SARS-CoV-2) to induce host immune responses. Through a comprehensive bioinformatic screening of potential epitopes derived from the SARS-CoV-2 sequences for HLAs commonly present in the Japanese population, we identified 2013 and 1399 possible peptide epitopes that are likely to have the high affinity (<0.5%- and 2%-rank, respectively) to HLA class I and II molecules, respectively, that may induce CD8(+) and CD4(+) T-cell responses. These epitopes distributed across the structural (spike, envelope, membrane, and nucleocapsid proteins) and the nonstructural proteins (proteins corresponding to six open reading frames); however, we found several regions where high-affinity epitopes were significantly enriched. By comparing the sequences of these predicted T cell epitopes to the other coronaviruses, we identified 781 HLA-class I and 418 HLA-class II epitopes that have high homologies to SARS-CoV. To further select commonly-available epitopes that would be applicable to larger populations, we calculated population coverages based on the allele frequencies of HLA molecules, and found 2 HLA-class I epitopes covering 83.8% of the Japanese population. The findings in the current study provide us valuable information to design widely-available vaccine epitopes against SARS-CoV-2 and also provide the useful information for monitoring T-cell responses. Twit Text FOAVip Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2 ????J Hum Genet http://www.kidney.de/pget.php?&tw=1&pmid=32372051 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32372051 #FOAvip English Wikipedia <ref>{{Cite pmid|32372051}}</ref> Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2 #MMPMID32372051 Kiyotani K; Toyoshima Y; Nemoto K; Nakamura Y J Hum Genet 2020[Jul]; 65 (7): 569-575 PMID32372051show ga To control and prevent the current COVID-19 pandemic, the development of novel vaccines is an emergent issue. In addition, we need to develop tools that can measure/monitor T-cell and B-cell responses to know how our immune system is responding to this deleterious virus. However, little information is currently available about the immune target epitopes of novel coronavirus (SARS-CoV-2) to induce host immune responses. Through a comprehensive bioinformatic screening of potential epitopes derived from the SARS-CoV-2 sequences for HLAs commonly present in the Japanese population, we identified 2013 and 1399 possible peptide epitopes that are likely to have the high affinity (<0.5%- and 2%-rank, respectively) to HLA class I and II molecules, respectively, that may induce CD8(+) and CD4(+) T-cell responses. These epitopes distributed across the structural (spike, envelope, membrane, and nucleocapsid proteins) and the nonstructural proteins (proteins corresponding to six open reading frames); however, we found several regions where high-affinity epitopes were significantly enriched. By comparing the sequences of these predicted T cell epitopes to the other coronaviruses, we identified 781 HLA-class I and 418 HLA-class II epitopes that have high homologies to SARS-CoV. To further select commonly-available epitopes that would be applicable to larger populations, we calculated population coverages based on the allele frequencies of HLA molecules, and found 2 HLA-class I epitopes covering 83.8% of the Japanese population. The findings in the current study provide us valuable information to design widely-available vaccine epitopes against SARS-CoV-2 and also provide the useful information for monitoring T-cell responses. |Asian People/genetics[MESH] |Base Sequence[MESH] |Betacoronavirus/immunology[MESH] |COVID-19 Vaccines[MESH] |Coronavirus Infections/immunology/prevention & control[MESH] |Coronavirus/genetics[MESH] |Epitopes, T-Lymphocyte/chemistry/*genetics/*immunology[MESH] |Histocompatibility Antigens Class I/chemistry/genetics/immunology[MESH] |Histocompatibility Antigens Class II/chemistry/genetics/immunology[MESH] |Humans[MESH] |Mutation[MESH] |Open Reading Frames[MESH] |SARS-CoV-2[MESH] |Severe acute respiratory syndrome-related coronavirus/immunology[MESH]Bioinformatic prediction of potential T cell epitopes for SARS-Cov-2 (epmc).pdf DeepDyve Pubget Overpricing