Authors
Seyedeh Fatemeh Seyyedizadeh, David A Christian, Thomas A Adams Ii
Published in
PLoS computational biology. Volume 22. Issue 8. Pages e1014702. Aug 18, 2026. Epub Aug 18, 2026.
Abstract
Primary immune responses induce CD8+ T cell responses characterized by activation via antigen presenting cells, expansion, differentiation into effector and memory phenotypes, and contraction resulting in long-term memory populations. In this study a mathematical stochastic agent-based model is developed to simulate all phases of the CD8+ T cell response following vaccination. Importantly, the model successfully captures the stochastic nature of T cell dynamics throughout the response. It predicts T cell population with high accuracy while addressing mouse-to-mouse variability, highlighting its robust predictive power. This predictive model aims to improve T cell vaccination strategies by both informing the biology of the T cell response and streamlining vaccine development.
PMID:
42611895
Bibliographic data and abstract were imported from PubMed on 19 Aug 2026.
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