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In silico analysis predicts a limited impact of SARS-CoV-2 variants on CD8 T cell recognition

Olga I. Isaeva, Steven L.C. Ketelaars, Pia Kvistborg
doi: https://doi.org/10.1101/2022.03.23.485487

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doi 
https://doi.org/10.1101/2022.03.23.485487
History 
  • March 23, 2022.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Olga I. Isaeva1,2,3,†,
  2. Steven L.C. Ketelaars1,† and
  3. Pia Kvistborg1,*
  1. 1Department of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
  2. 2Department of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, the Netherlands
  3. 3Oncode Institute, Utrecht, the Netherlands
  1. ↵*Correspondence:
    Dr. Pia Kvistborg, p.kvistborg{at}nki.nl

  1. ↵† These authors have contributed equally to this work, share first authorship and are listed in alphabetical order.

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Posted March 23, 2022.
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In silico analysis predicts a limited impact of SARS-CoV-2 variants on CD8 T cell recognition
Olga I. Isaeva, Steven L.C. Ketelaars, Pia Kvistborg
bioRxiv 2022.03.23.485487; doi: https://doi.org/10.1101/2022.03.23.485487
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