Cited by 3,051Bioinformatics and Genomic NetworksComplex Network Analysis TechniquesGene Regulatory Network Analysis

Specificity and Stability in Topology of Protein Networks

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Maslov, Sergei, Sneppen, Kim·2002·Science

Abstract

Molecular networks guide the biochemistry of a living cell on multiple levels: Its metabolic and signaling pathways are shaped by the network of interacting proteins, whose production, in turn, is controlled by the genetic regulatory network. To address topological properties of these two networks, we quantified correlations between connectivities of interacting nodes and compared them to a null model of a network, in which all links were randomly rewired. We found that for both interaction and regulatory networks, links between highly connected proteins are systematically suppressed, whereas those between a highly connected and low-connected pairs of proteins are favored. This effect decreases the likelihood of cross talk between different functional modules of the cell and increases the overall robustness of a network by localizing effects of deleterious perturbations.

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Crossref · 10.1126/science.1065103

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  • The CFG model is mathematically equivalent to the Maslov-Sneppen edge-swapping null model.

    “With these conditions, this CFG model is mathematically equivalent to the Maslov–Sneppen edge-swapping null model66–68.”

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Authors
Maslov, S., & Sneppen, K.
Affiliations
  • Brookhaven National Laboratory (US)
  • Norwegian University of Science and Technology (NO)
Corresponding author
Maslov, Sergei
Venue
Science
Published
2002-05-03
Volume
296
Issue
5569
Pages
910-913
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2156737316
Cited by
3,051
References
3
Citations by year
2026: 87 · 2025: 92 · 2024: 78 · 2023: 103 · 2022: 158 · 2021: 132 · 2020: 153 · 2019: 130 · 2018: 173 · 2017: 159 · 2016: 150 · 2015: 154 · 2014: 153 · 2013: 164 · 2012: 145
FWCI
29.09
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
protein-protein interaction network, gene regulatory networks, network topology, node connectivity, null models, random rewiring, crosstalk, network robustness, functional modules, metabolic pathways, signaling pathways
MeSH terms
Cell Nucleus, Nuclear Proteins, Probability, Protein Binding, Saccharomyces cerevisiae, Transcription, Genetic, Gene Expression Regulation, Fungal, Genome, Fungal, Computational Biology, Two-Hybrid System Techniques, Saccharomyces cerevisiae Proteins

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