Systems vaccinology: learning to compute the behavior of vaccine induced immunity

Helder I. Nakaya; Shuzhao Li; Bali Pulendran

doi:10.1002/wsbm.163

journal article Open Access Oct 19, 2011

Systems vaccinology: learning to compute the behavior of vaccine induced immunity

Helder I. Nakaya

Shuzhao Li Bali Pulendran

WIREs Systems Biology and Medicine Vol. 4 No. 2 pp. 193-205 · Wiley

View at Publisher Save 10.1002/wsbm.163

Abstract

AbstractThe 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.163This article is categorized under:

Models of Systems Properties and Processes > Cellular Models

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Details

Published: Oct 19, 2011
Vol/Issue: 4(2)
Pages: 193-205
License: View

Authors

Cite This Article

Helder I. Nakaya, Shuzhao Li, Bali Pulendran (2011). Systems vaccinology: learning to compute the behavior of vaccine induced immunity. WIREs Systems Biology and Medicine, 4(2), 193-205. https://doi.org/10.1002/wsbm.163

Systems vaccinology: learning to compute the behavior of vaccine induced immunity

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