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Table 5 F1 score of individual secondary structure labels using CB513

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

  1. aindicates ensemble model
  2. Boldface numbers indicate best performance