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Table 9 SOV’99 scores of Q8 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 L 0.611 0.629 0.595 0.538
SOV H 0.929 0.924 0.908 0.907
SOV T 0.599 0.67 0.605 0.531
SOV E 0.882 0.884 0.86 0.829
SOV S 0.351 0.362 0.327 0.256
SOV B 0.078 0.11 0.077 0.027
SOV G 0.419 0.416 0.339 0.297
SOV I 0 0 0 0
SOV 0.725 0.747 0.722 0.684
SOV mean 0.723 0.740 0.738 0.698
  1. SOV L,SOV H, SOV T, SOV E, SOV S, SOV B, SOV G and SOV I represent the prediction SOV score on a constituent secondary structure type L, H, T, E, S,B, G and I respectively. SOV represents the SOV score on different dataset and SOV mean is mean value of the SOV score on sequence level