A systems vaccinology resource to develop and test computational models of immunity.

ABSTRACT: Computational models that predict an individual's response to a vaccine offer the potential for mechanistic insights and personalized vaccination strategies. These models are increasingly derived from systems vaccinology studies that generate immune profiles from human cohorts pre- and post-vaccination. Most of these studies involve relatively small cohorts and profile the response to a single vaccine. The ability to assess the performance of the resulting models would be improved by comparing their performance on independent datasets, as has been done with great success in other areas of biology such as protein structure predictions. To transfer this approach to system vaccinology studies, we established a prototype platform that focuses on the evaluation of Computational Models of Immuni

SUBMITTER: Shinde P 

PROVIDER: S-EPMC10491180 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature