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系统医学与代谢建模。

Systems medicine and metabolic modelling.

机构信息

Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.

出版信息

J Intern Med. 2012 Feb;271(2):142-54. doi: 10.1111/j.1365-2796.2011.02493.x.

Abstract

Several complex diseases are caused by the malfunction of human metabolism, and deciphering the underlying molecular mechanisms can elucidate their aetiology. Systems biology is an integrative approach combining experimental and computational biology to identify and describe the molecular mechanisms of complex biological systems. Systems medicine has the potential to elucidate the onset and progression of complex metabolic diseases through the use of computational approaches. Advances in biotechnology have resulted in the provision of high-throughput data, which provide information about different metabolic processes. The systems medicine approach can utilize such data to reconstruct genome-scale metabolic models that can be used to study the function of specific enzymes and pathways in the context of the complete metabolic network. In this review, we outline the importance of genome-scale models in systems medicine and discuss how they may contribute towards the development of personalized medicine.

摘要

几种复杂疾病是由人类代谢功能障碍引起的,阐明其潜在的分子机制可以阐明它们的病因。系统生物学是一种综合的方法,结合了实验和计算生物学,以识别和描述复杂生物系统的分子机制。系统医学有可能通过计算方法阐明复杂代谢性疾病的发病机制和进展。生物技术的进步提供了高通量数据,这些数据提供了关于不同代谢过程的信息。系统医学方法可以利用这些数据来重建基因组规模的代谢模型,这些模型可用于在完整代谢网络的背景下研究特定酶和途径的功能。在这篇综述中,我们概述了基因组规模模型在系统医学中的重要性,并讨论了它们如何有助于个性化医学的发展。

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