ArticleMolecular bioSystems2013
Network motifs provide signatures that characterize metabolism.
Article in Molecular bioSystems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Discovering subnetworks in SBML models.Bioinformatics (Oxford, England) · 2025Article
- Exploring Emergent Properties in Enzymatic Reaction Networks: Design and Control of Dynamic Functional Systems.Chemical reviews · 2024Review
- What makes a reaction network "chemical"?Journal of cheminformatics · 2022Article
- A Convergent Functional Genomics Analysis to Identify Biological Regulators Mediating Effects of Creatine Supplementation.Nutrients · 2021Article
- Intrinsic limitations in mainstream methods of identifying network motifs in biology.BMC bioinformatics · 2020Article
- Organization of feed-forward loop motifs reveals architectural principles in natural and engineered networks.Science advances · 2018Article
- Graphlet-based Characterization of Directed Networks.Scientific reports · 2016Article
- Metabolic network motifs can provide novel insights into evolution: The evolutionary origin of Eukaryotic organelles as a case study.Computational biology and chemistry · 2014Article
- The biological networks in studying cell signal transduction complexity: The examples of sperm capacitation and of endocannabinoid system.Computational and structural biotechnology journal · 2014Review
- Computational analyses of synergism in small molecular network motifs.PLoS computational biology · 2014Article
- Identification of breast cancer patients based on human signaling network motifs.Scientific reports · 2013Article
- Network representations and methods for the analysis of chemical and biochemical pathways.Molecular bioSystems · 2013Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Motifs are repeating patterns that determine the local properties of networks. In this work, we characterized all 3-node motifs using enzyme commission numbers of the International Union of Biochemistry and Molecular Biology to show that motif abundance is related to biochemical function. Further, we present a comparative analysis of motif distributions in the metabolic networks of 21 species across six kingdoms of life. We found the distribution of motif abundances to be similar between species, but unique across cellular organelles. Finally, we show that motifs are able to capture inter-species differences in metabolic networks and that molecular differences between some biological species are reflected by the distribution of motif abundances in metabolic networks.
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