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Table 11 SOV’99 scores of Q3 prediction on CASP12 using recently predicting methods are compared

From: Prediction of 8-state protein secondary structures by a novel deep learning architecture

Method SOV H SOV E SOV C SOV
JPRED 0.827 0.747 0.676 0.737
DeepCNF 0.873 0.799 0.658 0.788
MFOLD-SS 0.879 0.814 0.594 0.715
eCRRNN 0.884 0.798 0.741 0.797
  1. SOV H, SOV E and SOV C represent the prediction SOV score on a constituent secondary structure type H, E and C respectively. SOV represents the SOV score on CASP12 dataset
  2. Boldface numbers indicate best performance