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. 2016 Jul 12;18(5):704–710. doi: 10.4103/1008-682X.183570

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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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Disorder prediction for OVOL1/2 (Ovo-Like Zinc Finger 1/2), ZEB1 (Zinc finger E-box-binding homeobox 1), and SNAI1 (Snail Family Zinc Finger 1). The MetaPrDOS metaserver was used to predict the disorder. MetaPrDOS predicts the disorder tendency of each residue using support vector machines from the prediction results of the seven independent predictors. The method has been evaluated by using the Critical Assessment of Techniques for Protein Structure Prediction 7 (CASP7) targets to avoid an overestimation due to the inclusion of proteins used in the training set of some component predictors. As a result, the meta-approach achieves higher prediction accuracy than all methods participating in CASP7. Amino acid numbers are indicated on the X-axis and the disorder likelihood on the Y-axis with a red line indicating the 0.5 (50%) level. (a) OVOL1 (b) OVOL2 (c) SNAI1 (d) ZEB1.