Evidence map›Paper›PMID 23384306›Full record

ArticleJournal of chemical information and modeling2013

Modular architecture of metabolic pathways revealed by conserved sequences of reactions.

Ai Muto, Masaaki Kotera, Toshiaki Tokimatsu, Zenichi Nakagawa, Susumu Goto, Minoru Kanehisa

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

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  11. Insights into Common Octopus (Marine drugs · 2023
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  20. Toward understanding the origin and evolution of cellular organisms.Protein science : a publication of the Protein Society · 2019
    Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Ai MutoBioinformatics Center, Institute for Chemical Research, Kyoto University , Uji, Kyoto 611-0011, Japan.
Masaaki Kotera
Toshiaki Tokimatsu
Zenichi Nakagawa
Susumu Goto
Minoru Kanehisa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Conserved SequenceBiotransformationCitric Acid CycleDatabases, GeneticEnzymesFatty AcidsMetabolic Networks and PathwaysMultigene FamilyOxidation-ReductionEnzymesFatty Acids

Identifiers

PMID23384306
PMCPMC3632090

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.