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Fig. 5 | BMC Bioinformatics

Fig. 5

From: Centrality of drug targets in protein networks

Fig. 5

Scatter plots of topological coefficient versus degree for the nuclear receptors targets sets (Phase4 and all targets) in the String0.7 network (a) and projections of proportional degree distribution in randomized networks of comparable size (b–e). Scale free networks, as generated through degree preserving or Barabasi Albert (BA) randomization, exhibit an inflexion towards higher topological coefficients at lower degrees (b–c). Erdos Renyi (ER) randomization (d) exhibits a linear log–log correlation between the two parameters. Clustering, present in the Watts Strogatz (WS) random network (e), disrupts the correlation between the two parameters with a random noise effect. For the target class of enzymes (f), Phase4 targets exhibit significantly lower topological coefficient than all enzymes in String0.7 even if the average degree of Phase4 enzymes is lower. This effect is retained after degree preserving randomization due to the low degree inflection (inset)

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