代谢系统生物学。

IF 12.1 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Annual review of biochemistry Pub Date : 2017-06-20 Epub Date: 2017-03-08 DOI:10.1146/annurev-biochem-061516-044757
Jens Nielsen
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引用次数: 123

摘要

新陈代谢是高度复杂的,涉及数千种不同的相互关联的反应;因此,使用数学模型进行整体研究是必要的。数学模型在生物学中的应用被称为系统生物学。本文介绍了系统生物学的基本原理,并讨论了用于研究代谢的两种不同类型的数学模型:动力学模型和基因组尺度代谢模型。使用不同的组学技术,包括转录组学、蛋白质组学、代谢组学和通量组学,用于研究代谢。最后,讨论了系统生物学在分析全局调控结构、设计细胞工厂代谢和分析人类疾病方面的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systems Biology of Metabolism.

Metabolism is highly complex and involves thousands of different connected reactions; it is therefore necessary to use mathematical models for holistic studies. The use of mathematical models in biology is referred to as systems biology. In this review, the principles of systems biology are described, and two different types of mathematical models used for studying metabolism are discussed: kinetic models and genome-scale metabolic models. The use of different omics technologies, including transcriptomics, proteomics, metabolomics, and fluxomics, for studying metabolism is presented. Finally, the application of systems biology for analyzing global regulatory structures, engineering the metabolism of cell factories, and analyzing human diseases is discussed.

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来源期刊
Annual review of biochemistry
Annual review of biochemistry 生物-生化与分子生物学
CiteScore
33.90
自引率
0.00%
发文量
31
期刊介绍: The Annual Review of Biochemistry, in publication since 1932, sets the standard for review articles in biological chemistry and molecular biology. Since its inception, these volumes have served as an indispensable resource for both the practicing biochemist and students of biochemistry.
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