Comparative Computational Modeling of Immune Responses to Vaccines
Abstract
The project assessed the ability of a computational immunology platform as a predictor of multifaceted immune responses in humans and mice. An accurate computational predictor of immune responses in individuals of differing immunogenetics potentially enable the rapid development of vaccines for emerging pathogens with more confidence than depending on animal models, which do not always replicate human disease, nor the immune responses of a diverse human population. The project mapped epitopes in ten FDA approved vaccines and in SARS-CoV-2. B and T cell responses to SARS-CoV-2 were evaluated in convalescent human volunteers in comparison to computational predictions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 21, 2021
- Accession Number
- AD1147754
Entities
People
- Jack Gorski
- Jane E. Homan
- Robert D. Bremel
- Weiguo Cui