2021
DOI: 10.1016/j.addr.2021.01.007
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In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives

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Cited by 67 publications
(51 citation statements)
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References 202 publications
(276 reference statements)
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“…Despite the numerous reverse vaccinology advances and all the bioinformatic tools that have been used in the analysis of the S glycoprotein and RBD domain sequences, few vaccines based on epitopes or immunogenic peptides have reached clinical phases ( Table 2 ) ( 112 , 125 , 126 ). Reverse vaccinology refers to a methodology that uses bioinformatic tools to identify genomic sequences and structures of infectious agents for the design of vaccines in silico ( 127 , 128 ).…”
Section: S Glycoprotein In Sars-cov-2 Vaccinesmentioning
confidence: 99%
“…Despite the numerous reverse vaccinology advances and all the bioinformatic tools that have been used in the analysis of the S glycoprotein and RBD domain sequences, few vaccines based on epitopes or immunogenic peptides have reached clinical phases ( Table 2 ) ( 112 , 125 , 126 ). Reverse vaccinology refers to a methodology that uses bioinformatic tools to identify genomic sequences and structures of infectious agents for the design of vaccines in silico ( 127 , 128 ).…”
Section: S Glycoprotein In Sars-cov-2 Vaccinesmentioning
confidence: 99%
“…Half of the studies have characterized T cell responses against the whole proteome, whereas the others have focused on responses mounted against subsets of SARS-CoV-2 proteins, typically involving the S and nucleocapsid [N] proteins. In the majority of cases, the T cell response was measured in blood samples of individuals against a set of peptides predicted by bioinformatics tools or earlier bioinformatics-based analyses 16,17,32 (reviewed in Sohail et al 46 ), whereas a few studies employed overlapping peptide pools spanning the SARS-CoV-2 proteome. All 18 studies reported optimal epitopes along with cognate HLA information.…”
Section: Resultsmentioning
confidence: 99%
“…A number of recent studies have performed bioinformatic prediction of SARS-CoV-2 epitopes 17 . While these studies have identified viral peptide sequences that are likely immunogenic, they generally fail to account for mutational diversity in SARS-CoV-2 17,18 . Although our work does not directly predict variant neo-epitopes, it highlights the importance of epitopes that are recurrently mutated during viral evolution in response to immune pressure.…”
Section: Discussionmentioning
confidence: 99%