Figure 5.

Over-representation of drug targets along a degree rank for the Binary (B), non-predicted interactions, lpr < 22, MI-IntAct > 0.6 and MI-PSICQUIC > 0.8 data sets. Proteins were grouped into bins according to their degree. The width of each bin represents the number of proteins in that bin while the height (−log of the p-value of the hypergeometric test) represents how over-represented drug targets are in that bin. Each bin contains at least 200 proteins. Over-represented bins (p-value < 0.05) are highlighted in red. The number of drug targets in each bin is indicated at the top of each bar. Drug targets are over-represented in high-degree bins and some middle-degree bins for the binary-only (B) subset (a), the non-predicted subset (b) and the LTP (lpr < 22) data set (c), while there is no over-representation for the MI-IntAct (MI-IntAct score > 0.6) (d) and the MI-PSICQUIC (MI-PSICQUIC score > 0.8) (e) data sets.

Mora and Donaldson BMC Bioinformatics 2012 13:294   doi:10.1186/1471-2105-13-294
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