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Table 1 Cross-validation results of the GCNCPR-ACPs and other methods

From: GCNCPR-ACPs: a novel graph convolution network method for ACPs prediction

Methods

SE

SP

ACC

MCC

AUC

iACP

57.2

84.0

70.6

42.8

80.9

ACPred-FL

71.6

84.4

78.0

56.5

84.6

PEPred-Suite

72.8

88.0

80.4

61.5

86.0

ACPred-Fuse

77.2

87.6

82.4

65.2

88.2

AntiCP_ACC

66.8

78.4

72.6

45.5

82.4

AntiCP_DC

71.6

77.6

74.6

49.3

82.5

Hajisharifi’s

67.2

83.6

75.4

51.5

83.1

GCNCPR-ACPs

81.5

88.1

84.6

69.5

90.0

  1. The highest scores are marked in bold and the second-highest are underlined