Bioinformatics Center, Institute for Chemical Research, Kyoto University , Uji, Kyoto 611-0011, Japan.
J Chem Inf Model. 2013 Mar 25;53(3):613-22. doi: 10.1021/ci3005379. Epub 2013 Feb 19.
The metabolic network is both a network of chemical reactions and a network of enzymes that catalyze reactions. Toward better understanding of this duality in the evolution of the metabolic network, we developed a method to extract conserved sequences of reactions called reaction modules from the analysis of chemical compound structure transformation patterns in all known metabolic pathways stored in the KEGG PATHWAY database. The extracted reaction modules are repeatedly used as if they are building blocks of the metabolic network and contain chemical logic of organic reactions. Furthermore, the reaction modules often correspond to traditional pathway modules defined as sets of enzymes in the KEGG MODULE database and sometimes to operon-like gene clusters in prokaryotic genomes. We identified well-conserved, possibly ancient, reaction modules involving 2-oxocarboxylic acids. The chain extension module that appears as the tricarboxylic acid (TCA) reaction sequence in the TCA cycle is now shown to be used in other pathways together with different types of modification modules. We also identified reaction modules and their connection patterns for aromatic ring cleavages in microbial biodegradation pathways, which are most characteristic in terms of both distinct reaction sequences and distinct gene clusters. The modular architecture of biodegradation modules will have a potential for predicting degradation pathways of xenobiotic compounds. The collection of these and many other reaction modules is made available as part of the KEGG database.
代谢网络既是化学反应网络,也是催化反应的酶网络。为了更好地理解代谢网络进化中的这种双重性,我们开发了一种从 KEGG PATHWAY 数据库中存储的所有已知代谢途径的化学化合物结构转化模式分析中提取反应模块的方法。所提取的反应模块被反复用作代谢网络的构建块,包含有机反应的化学逻辑。此外,反应模块通常对应于 KEGG MODULE 数据库中定义的传统途径模块(即一组酶),有时也对应于原核基因组中的操纵子样基因簇。我们鉴定了涉及 2-氧羧酸的高度保守的、可能古老的反应模块。出现在 TCA 循环中的三羧酸 (TCA) 反应序列中的链延伸模块现在与不同类型的修饰模块一起在其他途径中使用。我们还鉴定了微生物生物降解途径中芳香环裂解的反应模块及其连接模式,就独特的反应序列和独特的基因簇而言,这些途径最具特征。生物降解模块的模块化结构将具有预测外来化合物降解途径的潜力。这些和许多其他反应模块的集合作为 KEGG 数据库的一部分提供。