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Public Library of Science

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PLoS Computational Biology Issue Image | Vol. 5(10) October 2009

<b>Cloud topology in the yeast protein interaction network.</b>

This figure represents the protein-protein interaction network topology of budding yeast. The outermost circle shows proteins with smaller numbers of interactions (gray dots) and proteins that interact with these are located on inner circles. Most large hubs are placed here (blue dots). Inner circles are dominated by medium size hubs (red dots) that are extensively connected to each other. This topology is mathematically similar to the router-level topology of the internet and represents networks according to highly optimized tolerance (see Hase et al., doi:10.1371/journal.pcbi.1000550).

Image Credit: Hiroaki Kitano and Takeshi Hase

Cloud topology in the yeast protein interaction network. Top

This figure represents the protein-protein interaction network topology of budding yeast. The outermost circle shows proteins with smaller numbers of interactions (gray dots) and proteins that interact with these are located on inner circles. Most large hubs are placed here (blue dots). Inner circles are dominated by medium size hubs (red dots) that are extensively connected to each other. This topology is mathematically similar to the router-level topology of the internet and represents networks according to highly optimized tolerance (see Hase et al., doi:10.1371/journal.pcbi.1000550).

Image Credit: Hiroaki Kitano and Takeshi Hase

thumbnail

Cloud topology in the yeast protein interaction network.

This figure represents the protein-protein interaction network topology of budding yeast. The outermost circle shows proteins with smaller numbers of interactions (gray dots) and proteins that interact with these are located on inner circles. Most large hubs are placed here (blue dots). Inner circles are dominated by medium size hubs (red dots) that are extensively connected to each other. This topology is mathematically similar to the router-level topology of the internet and represents networks according to highly optimized tolerance (see Hase et al., doi:10.1371/journal.pcbi.1000550).

Image Credit: Hiroaki Kitano and Takeshi Hase

doi:10.1371/image.pcbi.v05.i10.g001
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