conSSert is a SVM-based consenus secondary structure prediction method. Predictions from four popular secondary structure models (PSSpred, PSIPRED, Raptor-X, and SPINE-X) are integrated through the use of SVM models to produce highly accurate predictions, especially with regard to Q2-EH.
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conSSert: Consensus SVM model for accurate prediction of ordered secondary structure.
Kieslich CA, Smadbeck J, Khoury GA, Floudas C.
J Chem Inf Model. 2016 Feb 29.