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Table 2 Q8 predictive precision of individual secondary structures from CB513

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

Q8 Label CRRNN NCCNN MUFOLD-SS DCRNN2a DCRNN DeepCNF
H 0.86 0.841 0.855 0.863 0.832 0.849
B 0.466 0.676 0.571 0.571 0.554 0.433
E 0.797 0.767 0.764 0.768 0.753 0.748
G 0.466 0.487 0.413 0.419 0.429 0.49
I 0 0 0 0 0 0
T 0.556 0.577 0.572 0.562 0.559 0.53
S 0.494 0.548 0.522 0.509 0.518 0.487
L 0.603 0.565 0.586 0.571 0.573 0.571
  1. aData is generated by our experiment
  2. Boldface numbers indicate best performance