ArticleJournal of the Royal Society, Interface2013
The relationship between modularity and robustness in signalling networks.
Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Exploration of the optimal modularity in assembly line design.Scientific reports · 2022Article
- Identification of anticancer drug target genes using an outside competitive dynamics model on cancer signaling networks.Scientific reports · 2021Article
- Signatures of immune dysfunction in HIV and HCV infection share features with chronic inflammation in aging and persist after viral reduction or elimination.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Speciation and the developmental alarm clock.eLife · 2020Review
- Evolutionary design principles in metabolism.Proceedings. Biological sciences · 2019Review
- Reconstruction and inference of the Lactococcus lactis MG1363 gene co-expression network.PloS one · 2019Article
- Resurrected Protein Interaction Networks Reveal the Innovation Potential of Ancient Whole-Genome Duplication.The Plant cell · 2018Article
- Hierarchical closeness-based properties reveal cancer survivability and biomarker genes in molecular signaling networks.PloS one · 2018Article
- Investigation on changes of modularity and robustness by edge-removal mutations in signaling networks.BMC systems biology · 2017Article
- MORO: a Cytoscape app for relationship analysis between modularity and robustness in large-scale biological networks.BMC systems biology · 2016Article
- Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations.Scientific reports · 2015Article
- Directional selection can drive the evolution of modularity in complex traits.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- A Semiquantitative Framework for Gene Regulatory Networks: Increasing the Time and Quantitative Resolution of Boolean Networks.PloS one · 2015Article
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2 authors.
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Abstract
Many biological networks tend to have a high modularity structural property and the dynamic characteristic of high robustness against perturbations. However, the relationship between modularity and robustness is not well understood. To investigate this relationship, we examined real signalling networks and conducted simulations using a random Boolean network model. As a result, we first observed that the network robustness is negatively correlated with the network modularity. In particular, this negative correlation becomes more apparent as the network density becomes sparser. Even more interesting is that, the negative relationship between the network robustness and the network modularity occurs mainly because nodes in the same module with the perturbed node tend to be more sensitive to the perturbation than those in other modules. This result implies that dynamically similar nodes tend to be located in the same module of a network. To support this, we show that a pair of genes associated with the same disease or a pair of functionally similar genes is likely to belong to the same module in a human signalling network.
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