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. 2017 Nov 13;7:15449. doi: 10.1038/s41598-017-15635-8

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Aggregation propensity of the datasets depending on secondary structure analysis. Distributions of aggregation propensities for the entire random (A), PDB (B), Uni (C) and Dis (D) datasets showing the “ordered”, “average” and “disordered” subsets (<0.5 SD value, SD ± 0.5 SD, and >0.5 SD values, respectively, from mean values of predicted disorder and secondary structure). The top right corners graphically demonstrate the “ordered”, “average” and “disordered” selections from the secondary structure predictions (y-axis, total % of secondary structure content) and disorder (x-axis, z-score units) – equivalent to Fig. 2. Values in brackets for individual subsets in the legend indicate the population numbers.