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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