Systems Biology in Immunology: A Computational Modeling Perspective

Ronald N. Germain, Martin Meier-Schellersheim, Aleksandra Nita-Lazar, Iain D.C. Fraser
2011 Annual Review of Immunology  
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 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
more » ... 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 why quantitative methods are needed to eventually produce a better understanding of immune system operation in health and disease.
doi:10.1146/annurev-immunol-030409-101317 pmid:21219182 pmcid:PMC3164774 fatcat:my2czdrjajd5ldhrm52k2fzd5a