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小分子代谢物对代谢网络的调控

Regulation of metabolic networks by small molecule metabolites.

作者信息

Gutteridge Alex, Kanehisa Minoru, Goto Susumu

机构信息

Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan 611-0011.

出版信息

BMC Bioinformatics. 2007 Mar 13;8:88. doi: 10.1186/1471-2105-8-88.

Abstract

BACKGROUND

The ability to regulate metabolism is a fundamental process in living systems. We present an analysis of one of the mechanisms by which metabolic regulation occurs: enzyme inhibition and activation by small molecules. We look at the network properties of this regulatory system and the relationship between the chemical properties of regulatory molecules.

RESULTS

We find that many features of the regulatory network, such as the degree and clustering coefficient, closely match those of the underlying metabolic network. While these global features are conserved across several organisms, we do find local differences between regulation in E. coli and H. sapiens which reflect their different lifestyles. Chemical structure appears to play an important role in determining a compounds suitability for use in regulation. Chemical structure also often determines how groups of similar compounds can regulate sets of enzymes. These groups of compounds and the enzymes they regulate form modules that mirror the modules and pathways of the underlying metabolic network. We also show how knowledge of chemical structure and regulation could be used to predict regulatory interactions for drugs.

CONCLUSION

The metabolic regulatory network shares many of the global properties of the metabolic network, but often varies at the level of individual compounds. Chemical structure is a key determinant in deciding how a compound is used in regulation and for defining modules within the regulatory system.

摘要

背景

调节新陈代谢的能力是生命系统中的一个基本过程。我们对新陈代谢调节发生的一种机制进行了分析:小分子对酶的抑制和激活。我们研究了这个调节系统的网络特性以及调节分子化学性质之间的关系。

结果

我们发现调节网络的许多特征,如度和聚类系数,与基础代谢网络的特征密切匹配。虽然这些全局特征在几种生物体中是保守的,但我们确实发现大肠杆菌和人类调节之间存在局部差异,这反映了它们不同的生活方式。化学结构在决定化合物是否适合用于调节方面似乎起着重要作用。化学结构通常还决定了相似化合物组如何调节酶组。这些化合物组及其调节的酶形成了与基础代谢网络的模块和途径相对应的模块。我们还展示了如何利用化学结构和调节知识来预测药物的调节相互作用。

结论

代谢调节网络具有许多代谢网络的全局特性,但在单个化合物水平上往往有所不同。化学结构是决定化合物如何用于调节以及定义调节系统内模块的关键决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f930/1839110/d48058ff368a/1471-2105-8-88-1.jpg

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