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. 2017 Nov 24;34(7):1183–1191. doi: 10.1093/bioinformatics/btx743

Fig. 3.

Fig. 3.

Visualization and analysis of predicted PPI essentiality. (A) The network shows protein–protein pairs subjected for the MEDICI calculations to predict their essentiality for lung cancer cells. A total of 7906 PPIs are available for the analysis. The proteins are connected by lines colored based on the essentiality vales: E = 0—grey, 0 < E ≤ 0.2—black, 0.2 < E ≤ 0.4 – blue, 0.4 < E ≤ 0.6 – green, 0.6 < E ≤ 0.8 – orange, 0.8 < E ≤ 1 – red. (B) A subnetwork of PPIs included in the OncoPPi network and predicted as critical for lung cancer cell viability. A number of well-known oncogenic PPIs, e.g. RAF1-AKT, MDM2-TP53 or PIK3CA-PIK3R1 dimerization are predicted as essential for the cancer cells along with a set of novel PPIs, such as MYC-MAP2K3 or RASSF1-AKT1 (Color version of this figure is available at Bioinformatics online.)