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Table 11 Comparison with other methods on three benchmark datasets

From: Prediction of protein structural classes by different feature expressions based on 2-D wavelet denoising and fusion

Dataset

Prediction accuracy(%)

Method

all-α

all-β

α/β

α + β

OA

25PDB

MEDP [58]

87.8

78.3

76.0

57.4

74.8

SCPRED [22]

92.6

80.1

74.0

71.0

79.7

PKS-PPSC [59]

89.2

86.7

82.6

65.6

81.3

Zhang et al. [23]

92.4

87.4

82.0

71.0

83.9

PSSS-PSSM [25]

96.6

87.1

83.0

78.9

86.6

PSSS-PsePSSM [60]

96.4

90.5

90.2

81.2

89.5

WD-PseAAC [53]

95.7

97.7

94.8

84.4

93.1

This paper

98.0

98.9

98.0

97.5

98.1

1189

MEDP [58]

85.2

84.0

84.4

45.2

75.8

SCPRED [22]

89.1

86.7

89.6

53.8

80.6

PKS-PPSC [59]

89.2

86.7

82.6

65.6

81.3

Zhang et al. [23]

92.4

87.4

82.0

71.0

83.2

PSSS-PSSM [25]

94.2

88.4

85.3

71.8

85.0

PSSS-PsePSSM [60]

91.9

91.8

87.7

73.9

86.6

WD-PseAAC [53]

98.7

99.0

94.0

68.9

90.8

This paper

98.2

99.3

99.1

91.3

97.3

640

MEDP [58]

84.8

75.3

86.4

53.8

74.7

SCPRED [22]

90.6

81.8

85.9

66.7

80.8

PKS-PPSC [59]

89.1

85.1

88.1

71.4

83.1

Zhang et al. [23]

–

–

–

–

–

PSSS-PSSM [25]

–

–

–

–

–

PSSS-PsePSSM [60]

87.0

81.2

84.7

70.8

81.0

WD-PseAAC [53]

92.8

95.5

92.1

78.9

89.5

This paper

95.7

98.1

97.2

93.6

96.1