disCoP method is designed for in-silico prediction of per-residue protein disorder propensities. It combines four rationally selected input predictors: DISOclust, DISOPRED2, MD, and SPINE-D, using custom-designed features that aggregate their predictions and binomial deviance-based regression model.
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J Biomol Struct Dyn. 2014;32(3):448-64. doi: 10.1080/07391102.2013.775969. Epub 2013 Mar 27.
Accurate prediction of disorder in protein chains with a comprehensive and empirically designed consensus.
Fan X1, Kurgan L.