virusMS: a database for synthetic peptides of viruses

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. Accurately identifying potential T cell epitopes derived from SARS-CoV-2 proteome will aid in identifying targets for vaccination. 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 peptide 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 spectra data, are provided in virusMS.


virusMS quick statistics: 1 virus; 3 experiment(s); 39712 peptide(s); 5450 modified peptide(s);

Citation


If you think viruMS is useful in your research, please consider citing us:

  • 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, and Anthony W. Purcell. Resourcing, annotating and analysing synthetic peptides of SARS-CoV-2 for immunopeptidomics and other immunological studies. Proteomics, accepted. 2021

    • Acknowledgement


  • mimotopes
    The authors acknowledge the donation of a peptide library spanning the entire sequence of the SARS-CoV-2 proteome by Mimotopes Pty Ltd (Mulgrave, Victoria, Australia).

  • nectar
    Computational resources were supported by the R@CMon/Monash Node of the Nectar Research Cloud, an initiative of the Australian Government's Super Science Scheme and the Education Investment Fund.