Different antigenic distance metrics generate similar predictions of influenza vaccine response breadth despite moderate correlation
Despite moderate correlation among metrics, we found that different antigenic distance metrics generated similar predictions about breadth of vaccine response. Costly titer assays for antigenic cartography may not be needed when simpler sequence-based metrics suffice for quantifying vaccine breadth.
Authors
- Ye Shen (ORCID: https://orcid.org/0000-0002-6662-0048)
- W. Zane Billings (ORCID: https://orcid.org/0000-0002-0184-6134)
- Ted M. Ross (ORCID: https://orcid.org/0000-0003-1947-7469)
- Amanda L. Skarlupka (ORCID: https://orcid.org/0000-0002-3654-9076)
- Andreas Handel (ORCID: https://orcid.org/0000-0002-4622-1146)
- Sarah Cobey (ORCID: https://orcid.org/0000-0001-5298-8979)
- Natalie E. Dean (ORCID: https://orcid.org/0000-0003-3884-0921)
- Benjamin J. Cowling (ORCID: https://orcid.org/0000-0002-6297-7154)
- Ge Yang (ORCID: https://orcid.org/0000-0002-5085-4261)
- Mina John
- Savannah M Hammerton (ORCID: https://orcid.org/0000-0003-2231-3510)
- Hayley Hemme
Institutions
- Emory University (US)
- University of Georgia (US)
- University of Chicago (US)
- Cleveland Clinic Florida (US)
- Vaccine & Gene Therapy Institute of Florida (US)
- Massachusetts Institute of Technology (US)
- University of Hong Kong (HK)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1371/journal.pcbi.1013720
- Primary Topic
- Influenza Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00