From: Prediction of 8-state protein secondary structures by a novel deep learning architecture
Q8 Label | CRRNNa | CRRNN | NCCNNa | NCCNN | MUFOLD-SS | DCRNN2 | DCRNNa | DeepCNF |
---|---|---|---|---|---|---|---|---|
H | 0.903 | 0.892 | 0.889 | 0.884 | 0.886 | 0.891 | 0.880 | 0.876 |
B | 0.138 | 0.139 | 0.089 | 0.077 | 0.000 | 0.006 | 0.050 | 0.049 |
E | 0.834 | 0.814 | 0.805 | 0.793 | 0.789 | 0.803 | 0.789 | 0.788 |
G | 0.463 | 0.413 | 0.374 | 0.360 | 0.387 | 0.387 | 0.317 | 0.340 |
I | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
T | 0.594 | 0.555 | 0.565 | 0.549 | 0.561 | 0.550 | 0.540 | 0.529 |
S | 0.433 | 0.397 | 0.343 | 0.334 | 0.373 | 0.342 | 0.336 | 0.335 |
L | 0.660 | 0.629 | 0.631 | 0.621 | 0.622 | 0.611 | 0.610 | 0.611 |
macro-F1 | 0.503 | 0.480 | 0.462 | 0.452 | 0.452 | 0.449 | 0.440 | 0.441 |
micro_F | 0.74 | 0.714 | 0.714 | 0.704 | 0.705 | 0.704 | 0.697 | 0.683 |