Resourcing, annotating, and analysing synthetic peptides of SARS-CoV-2 for immunopeptidomics and other immunological studies

Chen Li, Jerico Revote, Sri H. Ramarathinam, Shan Zou Chung, Nathan P. Croft, Katherine E. Scull, Ziyi Huang, Rochelle Ayala, Asolina Braun, Nicole A. Mifsud, Patricia T. Illing, Pouya Faridi, Anthony W. Purcell

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)


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 ∼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 (, 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.

Original languageEnglish
Article numbere2100036
Number of pages11
Issue number17-18
Publication statusPublished - Sept 2021


  • COVID19
  • database
  • LC–MS
  • SARS-CoV-2
  • synthetic peptides
  • tandem mass spectrometry

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