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Table 1 The mean absolute error of different feature combinations with ResNet 5-100-3 on TS1267

From: RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning

Feature combination

Phi

Psi

Phi_H

Psi_H

Phi_E

Psi_E

Phi_C

Psi_C

basic1=PSSM+aa

19.97

31.97

9.82

17.57

20.70

26.97

29.84

49.66

basic2=PSFM+aa

20.02

31.78

9.86

17.68

20.46

26.38

30.10

49.39

basic=PSSM+PSFM+aa

19.27

30.04

9.11

15.58

19.70

24.64

29.35

48.02

basic+ACC

19.08

29.30

9.07

15.44

19.36

23.18

29.11

47.10

basic+SS

19.19

28.73

8.56

13.76

19.29

22.43

31.00

47.95

basic+ACC+SS

18.58

27.98

8.45

13.37

19.03

22.14

28.61

46.21

  1. Phi and Psi denote MAE for all residues Phi_H and Psi_H denote MAE for residues in helix region Phi_E and Psi_E denote MAE for residues in beta strand region Phi_C and Psi_C denote MAE for residues in coil region