Open AccessSystems vaccinology: learning to compute the behavior of vaccine induced immunity
Author(s) -
Nakaya Helder I.,
Li Shuzhao,
Pulendran Bali
Publication year - 2011
Publication title -
wiley interdisciplinary reviews: systems biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.087
H-Index - 51
eISSN - 1939-005X
pISSN - 1939-5094
DOI - 10.1002/wsbm.163
Subject(s) - immunogenicity , systems biology , computational biology , computer science , immunity , biological network , biology , immune system , immunology
The goal of systems biology is to access and integrate information about the parts (e.g., genes, proteins, cells) of a biological system with a view to computing and predicting the behavior of the system. The past decade has witnessed technological revolutions in the capacity to make high throughput measurements about the behavior of genes, proteins, and cells. Such technologies are widely used in biological research and in medicine, such as toward prognosis and therapy response prediction in cancer patients. More recently, systems biology is being applied to vaccinology, with the goal of: (1) understanding the mechanisms by which vaccines stimulate protective immunity, and (2) predicting the immunogenicity or efficacy of vaccines. Here, we review the recent advances in this area, and highlight the biological and computational challenges posed. WIREs Syst Biol Med 2012, 4:193–205. doi: 10.1002/wsbm.163 This article is categorized under: Models of Systems Properties and Processes > Cellular Models