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. 2016 Jul 19;18(5):662–672. doi: 10.4103/1008-682X.184999

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Copyright: © Asian Journal of Andrology

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

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Characterization of the interactability of prostate cancer-related proteins from the extended KEGG dataset based on the results of their analysis by APID server. (a) Correlation between the number of PPIs found by APID for individual proteins and protein length. Note logarithmic scale of this plot. (b) Correlation between interactability (evaluated as the number of PPIs per 100 residues of a given protein) and intrinsic disorder (measured as PONDR FIT-based content of predicted disordered residues in a query protein). Note semi-logarithmic scale of this plot.