期刊
ANNUAL REVIEW OF IMMUNOLOGY, VOL 29
卷 29, 期 -, 页码 527-585出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev-immunol-030409-101317
关键词
high-throughput analysis; modeling; genomics; proteomics; RNAi
类别
资金
- Intramural NIH HHS [ZIA AI000974-05, ZIA AI001106-04, ZIA AI001108-03, ZIA AI001107-04] Funding Source: Medline
- NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [ZIAAI001107, ZIAAI001106, ZIAAI001076, ZIAAI001085, ZIAAI001084, ZIAAI000974] Funding Source: NIH RePORTER
Systems biology is an emerging discipline that combines high-content, multiplexed measurements with informatic and computational modeling methods to better understand biological function at various scales. Here we present a detailed review of the methods used to create computational models and to conduct simulations of immune function. We provide descriptions of the key data-gathering techniques employed to generate the quantitative and qualitative data required for such modeling and simulation and summarize the progress to date in applying these tools and techniques to questions of immunological interest, including infectious disease. We include comments on what insights modeling can provide that complement information obtained from the more familiar experimental discovery methods used by most investigators and the reasons why quantitative methods are needed to eventually produce a better understanding of immune system operation in health and disease.
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