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10.1002/pmic.202100036

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33811468!8250278!33811468
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suck abstract from ncbi


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pmid33811468      Proteomics 2021 ; 21 (17-18): e2100036
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  • Resourcing, annotating, and analysing synthetic peptides of SARS-CoV-2 for immunopeptidomics and other immunological studies #MMPMID33811468
  • Li C; Revote J; Ramarathinam SH; Chung SZ; Croft NP; Scull KE; Huang Z; Ayala R; Braun A; Mifsud NA; Illing PT; Faridi P; Purcell AW
  • Proteomics 2021[Sep]; 21 (17-18): e2100036 PMID33811468show ga
  • SARS-CoV-2 has caused a significant ongoing pandemic worldwide. A number of studies have examined the T cell mediated immune responses against SARS-CoV-2, identifying potential T cell epitopes derived from the SARS-CoV-2 proteome. Such studies will aid in identifying targets for vaccination and immune monitoring. In this study, we applied tandem mass spectrometry and proteomic techniques to a library of approximately 40,000 synthetic peptides, in order to generate a large dataset of SARS-CoV-2 derived peptide MS/MS spectra. On this basis, we built an online knowledgebase, termed virusMS (https://virusms.erc.monash.edu/), to document, annotate and analyse these synthetic peptides and their spectral information. VirusMS incorporates a user-friendly interface to facilitate searching, browsing and downloading the database content. Detailed annotations of the peptides, including experimental information, peptide modifications, predicted peptide-HLA (human leukocyte antigen) binding affinities, and peptide MS/MS spectral data, are provided in virusMS.
  • |*COVID-19[MESH]
  • |*SARS-CoV-2[MESH]
  • |Humans[MESH]
  • |Peptides[MESH]
  • |Proteomics[MESH]


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