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. 2017 Mar 9;18:163. doi: 10.1186/s12859-017-1570-7

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© The Author(s) 2017

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — Methodology. The methods are divided in three parts: 1) Disorder: sequence preprocessing and prediction of disordered regions, 2) Counting: counting of SLiM patterns and instances, and 3) Comparison: analysis of the overlap between predicted interactions against interactions in NIAID and LMPID databases