Validation and invalidation of systems biology models using robustness analysis
Validation and invalidation of systems biology models using robustness analysis
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DOI：
10.1049/iet-syb.2010.0072
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发表时间：
2011-07-01
影响因子：
2.3
通讯作者：
Cosentino, C.
中科院分区：
文献类型：
--
作者：
Bates, D. G.;Cosentino, C.
鲁棒性，即系统在存在内部和外部不确定性的情况下正常运行的能力，已成为许多生物系统的关键组织原则。因此，生物鲁棒性已成为系统生物学研究的主要焦点，特别是在工程-生物学界面方面，因为鲁棒性的概念最初是在工程控制系统的背景下严格定义的。这篇综述集中在系统生物学中鲁棒性的一个特别重要的方面，即使用鲁棒性分析方法来验证或失效的生物系统模型。随着系统生物学带来的定量建模的爆炸式增长，生物系统中相互竞争的模型之间的验证、无效和区分问题变得越来越重要。在这篇综述中，作者提供了用于这项任务的工具和方法的全面概述，并说明了该方法已成功应用于广泛的生物系统。
Robustness, the ability of a system to function correctly in the presence of both internal and external uncertainty, has emerged as a key organising principle in many biological systems. Biological robustness has thus become a major focus of research in Systems Biology, particularly on the engineering-biology interface, since the concept of robustness was first rigorously defined in the context of engineering control systems. This review focuses on one particularly important aspect of robustness in Systems Biology, that is, the use of robustness analysis methods for the validation or invalidation of models of biological systems. With the explosive growth in quantitative modelling brought about by Systems Biology, the problem of validating, invalidating and discriminating between competing models of a biological system has become an increasingly important one. In this review, the authors provide a comprehensive overview of the tools and methods that are available for this task, and illustrate the wide range of biological systems to which this approach has been successfully applied.