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Table 5 Prediction accuracy of the proposed PBF11CBF-PSSE for four datasets and comparison with the competing prediction methods

From: Comparison study on statistical features of predicted secondary structures for protein structural class prediction: From content to position

Dataset

Method

Prediction accuracy (%)

  

All-α

All-β

α/β

α+β

Overall

25PDB

RKS-PPSC [42]

92.8

83.3

85.8

70.1

82.9

Liu and Jia [26]

92.6

81.3

81.5

76.0

82.9

Zhang et al. [27]

95.0

85.6

81.5

73.2

83.9

Ding et al. [42]

95.03

81.26

83.24

77.55

84.34

Proposed PBF11CBF-PSSE

98.65

85.78

79.19

79.82

86.25

640

RKS-PPSC [41]

89.1

85.1

88.1

71.4

83.1

Ding et al. [42]

94.93

76.62

89.27

74.27

83.44

Proposed PBF11CBF-PSSE

97.1

81.17

89.27

79.53

86.41

FC699

Liu and Jia [26]

97.7

88.0

89.1

84.2

89.6

Proposed PBF11CBF-PSSE

100

97.03

96.55

73.17

94.99

1189

RKS-PPSC [41]

89.2

86.7

82.6

65.6

81.3

Zhang et al. [27]

92.4

87.4

82.0

71.0

83.2

Ding et al. [42]

93.72

84.01

83.53

66.39

81.96

Proposed PBF11CBF-PSSE

97.76

86.39

84.73

70.54

84.71

  1. The accuracy of each class and overall accuracy of the proposed PBF11CBF-PSSE for four datasets, and comparison with the competing prediction methods based on protein prediction secondary structures.