Distinctive behaviors of druggable proteins in cellular networks - Supplementary Information


Distinctive behaviors of druggable proteins in cellular networks
Costas Mitsopoulos, Amanda C. Schierz, Paul Workman and Bissan Al-Lazikani

S1 Text - Additional supplementary text and explanation of methodology, together with supplementary data tables and figures referred to in the main document.
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S1 Table - The full annotation and network-based druggability predictions of the 13,345 proteins in this analysis (using the largest interactome). The full prediction results for 10,998 proteins using the largest Y2H-based models; model quality and AUCs for the Y2H models.
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S2 Table - Details of the top most druggable proteins identified using a network-based druggability analysis that are not themselves targets of FDA-approved drugs
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S1 File - Individual predictive results and relative information content of each of the topological, community and graphical features used to train the models.
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S2 File - File containing the raw data used to generate the correlation plot in Figure F in S1 Text showing the limited correlation observed between the network topological, graphical and community-based features used in our analysis.
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S3 File - P-values of association between individual features of the drug target classes, namely all drug targets, targets of cancer drugs, or targets of drugs used in other therapeutic areas.
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