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Table 10 SOV’99 scores of Q3 prediction using eCRRNN on 4 datasets: CB513, CASP10, CASP11 and CASP12

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

Type CB513 CASP10 CASP11 CASP12
SOV H 0.917 0.919 0.922 0.884
SOV E 0.859 0.868 0.835 0.798
SOV C 0.769 0.813 0.778 0.741
SOV 0.829 0.855 0.833 0.797
SOV mean 0.842 0.851 0.850 0.817
  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 different dataset and SOV mean is mean value of the SOV score on sequence level