Symmetries in metabolic networks of <i>Escherichia coli</i>

The over-representation of motifs was previously considered a viable definition of building blocks in biological networks. Here, we construct an alternative definition based on invariance properties of enzymes in metabolic networks of <i>Escherichia coli</i>. In particular, we consider input trees of each enzyme that bundle all metabolic reactions where information is transmitted. Isomorphisms of such input trees point to symmetric enzymes grouped in "fibers" of the metabolic network that process equivalent dynamics. Such groups of enzymes constitute an alternative concept of building blocks which can be systematically classified into topological types of input trees according to their complexity. In contrast to motifs and modules, enzymes in such fibers are not necessarily mutually connected but still can be functionally related. Our analysis finds novel varieties of building blocks that capture such symmetries in hitherto unknown "composite Fibonacci" fibers. Lending credence to their significance as fundamental building blocks, we observe that enzymes in fibers are functionally more homogeneous than their network motif and module counterparts, suggesting that fibers point to a novel way of building blocks that capture metabolic functionality on a topological level.

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Publication Details

Journal
PNAS Nexus
Published
2025-02-27
DOI
https://doi.org/10.1093/pnasnexus/pgaf080
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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article

Symmetries in metabolic networks of Escherichia coli

Kuang Liu, Mishael Sánchez-Pérez, Hernán A. Makse, Cecilia Ishida et al.
1 citations
PNAS Nexus
Protein Structure and Dynamics
0.81
article

Symmetries in metabolic networks of Escherichia coli

Kuang Liu, Mishael Sánchez-Pérez, Hernán A. Makse, Cecilia Ishida, Stefan Wuchty, Luis Alvarez
article en
1 citations

Abstract

The over-representation of motifs was previously considered a viable definition of building blocks in biological networks. Here, we construct an alternative definition based on invariance properties of enzymes in metabolic networks of <i>Escherichia coli</i>. In particular, we consider input trees of each enzyme that bundle all metabolic reactions where information is transmitted. Isomorphisms of such input trees point to symmetric enzymes grouped in "fibers" of the metabolic network that process equivalent dynamics. Such groups of enzymes constitute an alternative concept of building blocks which can be systematically classified into topological types of input trees according to their complexity. In contrast to motifs and modules, enzymes in such fibers are not necessarily mutually connected but still can be functionally related. Our analysis finds novel varieties of building blocks that capture such symmetries in hitherto unknown "composite Fibonacci" fibers. Lending credence to their significance as fundamental building blocks, we observe that enzymes in fibers are functionally more homogeneous than their network motif and module counterparts, suggesting that fibers point to a novel way of building blocks that capture metabolic functionality on a topological level.

PNAS NexusVol. 4(3)
City College of New York (US), Autonomous University of Chihuahua (MX), University of Miami (US), Levin Institute (US), Sylvester Comprehensive Cancer Center (US), Universidad Autónoma del Estado de Morelos (MX), Universidad Nacional Autónoma de México (MX)
Sustainable cities and communities
Openalex Percentile: Top 30%
Protein Structure and Dynamics
0.81
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