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Sequence-based prediction of SARS-CoV-2 vaccine targets using a mass spectrometry-based bioinformatics predictor identifies immunogenic T cell epitopes.

Asaf PoranDewi HarjantoMatthew MalloyChristina M ArietaDaniel A RothenbergDivya LenkalaMarit M van BuurenTerri A AddonaMichael S RooneyLakshmi SrinivasanRichard B Gaynor
Published in: Genome medicine (2020)
Using our bioinformatics platform, we identify multiple putative epitopes that are potential targets for CD4+ and CD8+ T cells, whose HLA binding properties cover nearly the entire population. We also confirm that our binding predictors can predict epitopes eliciting CD8+ T cell responses from multiple SARS-CoV-2 proteins. Protein expression and population HLA allele coverage, combined with the ability to identify T cell epitopes, should be considered in SARS-CoV-2 vaccine design strategies and immune monitoring.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • mass spectrometry
  • genome wide
  • high throughput
  • binding protein
  • high resolution
  • dna methylation
  • capillary electrophoresis
  • transcription factor
  • affordable care act