Introduction to systems biology.
Introduction to systems biology.
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DOI：
10.1007/978-3-7643-7439-6_1
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
F. Bruggeman;J. Hornberg;F. Boogerd;H. Westerhoff
中科院分区：
文献类型：
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作者：
F. Bruggeman;J. Hornberg;F. Boogerd;H. Westerhoff
分子生物科学的发展使得以系统生物学的名义向分子水平和系统水平相结合的生物研究方法的转变成为可能。它集成了多种类型的分子知识，通过模型和实验数据的协同使用可以最好地实现这一点。许多不同类型的建模方法是有用的，这取决于可用的分子数据的数量和质量以及模型的目的。对这些模型和分子网络结构的分析导致了细胞功能的原理的发现，其中最主要的是单一物种。系统生物学有两种主要的研究方法，自上而下的系统生物学是一种利用OMICS的全系统数据并结合建模来表征细胞的方法。这些模型通常是现象学的，但有助于发现对正在研究的分子网络的新见解。自下而上的系统生物学不是从数据开始的，而是基于分子特性的分子网络的详细模型。在这种方法中，可以对分子网络进行定量研究，从而得到预测模型，这些模型可以应用于生物工程中的药物设计和产品形成的优化。在这一章中，我们介绍了利用模型分析分子网络，这是系统生物学的两种方法，我们将讨论一些最近在系统生物学方面取得成功的例子。
The developments in the molecular biosciences have made possible a shift to combined molecular and system-level approaches to biological research under the name ofSystems Biology. It integrates many types of molecular knowledge, which can best be achieved by the synergistic use of models and experimental data. Many different types of modeling approaches are useful depending on the amount and quality of the molecular data available and the purpose of the model. Analysis of such models and the structure of molecular networks have led to the discovery of principles of cell functioning overarching single species. Two main approaches of systems biology can be distinguished.Top-downsystems biology is a method to characterize cells using system-wide data originating from the Omics in combination with modeling. Those models are often phenomenological but serve to discover new insights into the molecular network under study.Bottom-upsystems biology does not start with data but with a detailed model of a molecular network on the basis of its molecular properties. In this approach, molecular networks can be quantitatively studied leading to predictive models that can be applied in drug design and optimization of product formation in bioengineering. In this chapter we introduce analysis of molecular network by use of models, the two approaches to systems biology, and we shall discuss a number of examples of recent successes in systems biology.