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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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3D representation of the results of evaluation of disorder levels in human prostate cancer-related proteins from the extended KEGG dataset. Here, the percentages of residues in these proteins predicted to be disordered by PONDR-FIT and PONDR^® VSL2 are compared with the predicted percentages of disordered residues predicted by the MobiDB platform that aggregates the output from ten disorder predictors. The overall goal of this plot is to show the overall agreement between the outputs of different disorder predictors used in this study.