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. 2017 Jul 31;7:6862. doi: 10.1038/s41598-017-07199-4

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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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Phosphorylation site prediction. ROC curves for phosphorylation site prediction of three different sequence-encoding schemes: AA (amino acid sequence encoding), AA + SS + SA + DO (amino acid sequence + secondary structure + solvent accessibility + native disorder, without feature selection), and mRMR (mRMR feature selection based on all the extracted initial features), evaluated using 5-fold cross-validation tests on the benchmark datasets. Data represent (A) CDKs, (B) MAPKs, (C) PKC, and (D) CK2.