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网络、生物学与系统工程:炎症方面的一个案例研究

NETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.

作者信息

Foteinou P T, Yang E, Androulakis I P

机构信息

Biomedical Engineering Department, Rutgers University, 599 Taylor Road Piscataway, NJ 08854.

出版信息

Comput Chem Eng. 2009 Dec 10;33(12):2028-2041. doi: 10.1016/j.compchemeng.2009.06.027.

Abstract

Biological systems can be modeled as networks of interacting components across multiple scales. A central problem in computational systems biology is to identify those critical components and the rules that define their interactions and give rise to the emergent behavior of a host response. In this paper we will discuss two fundamental problems related to the construction of transcription factor networks and the identification of networks of functional modules describing disease progression. We focus on inflammation as a key physiological response of clinical and translational importance.

摘要

生物系统可以被建模为跨多个尺度相互作用的组件网络。计算系统生物学中的一个核心问题是识别那些关键组件以及定义它们相互作用并引发宿主反应的涌现行为的规则。在本文中,我们将讨论与转录因子网络构建以及描述疾病进展的功能模块网络识别相关的两个基本问题。我们将重点关注炎症这一具有临床和转化重要性的关键生理反应。

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本文引用的文献

1
Translational potential of systems-based models of inflammation.基于系统的炎症模型的转化潜力。
Clin Transl Sci. 2009 Feb;2(1):85-9. doi: 10.1111/j.1752-8062.2008.00051.x.
2
Reverse-engineering transcription control networks.转录调控网络的反向工程。
Phys Life Rev. 2005 Mar;2(1):65-88. doi: 10.1016/j.plrev.2005.01.001.
5
Transcription factor network reconstruction using the living cell array.利用活细胞阵列进行转录因子网络重建。
J Theor Biol. 2009 Feb 7;256(3):393-407. doi: 10.1016/j.jtbi.2008.09.040. Epub 2008 Oct 22.
7
Mechanistic simulations of inflammation: current state and future prospects.炎症的机制模拟:现状与未来展望
Math Biosci. 2009 Jan;217(1):1-10. doi: 10.1016/j.mbs.2008.07.013. Epub 2008 Aug 26.
9
Translational systems biology of inflammation.炎症的转化系统生物学
PLoS Comput Biol. 2008 Apr 25;4(4):e1000014. doi: 10.1371/journal.pcbi.1000014.

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