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Predicting synthetic lethal interactions using conserved patterns in protein interaction networks

Fig 3

a. Human protein-protein interaction network with clustered communities generated by a spin glass random walk. Nodes and edges are coloured by their source community cluster as per the legend provided in Fig 3B. b. Community cluster connection graph where the weight of each connection corresponds to how many SSL interacting pairs begin and end at each community. We observe the largest count of SSL interactions occurring between cluster 9, notably associated with transcription regulation and DNA damage response GO terms and cluster 15, associated with MAPK cascade, cell proliferation and gene expression GO terms.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1006888.g003