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.

中文翻译：

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免疫学中的系统生物学：计算建模视角。

系统生物学是一门新兴学科，它将高内容、多路复用测量与信息学和计算建模方法相结合，以更好地了解各种尺度的生物功能。在这里，我们详细介绍了用于创建计算模型和进行免疫功能模拟的方法。我们提供了用于生成此类建模和模拟所需的定量和定性数据的关键数据收集技术的描述，并总结了迄今为止将这些工具和技术应用于免疫学问题（包括传染病）的进展。