Table 6 Performance comparison of our model with other publicly available predictors on an independent dataset.

From: AttBiLSTM_DE: enhancing anticancer peptide prediction using word embedding and an optimized attention-based BiLSTM framework

Method

MCC (%)

Sn (%)

Sp (%)

PRE (%)

ACC (%)

AUC(%)

F1 (%)

Our Model-AttBiLSTM_DE

88.00

87.01

98.46

94.37

95.85

98.48

90.54

mACP pred2.045

59.70

80.70

86.80

57.50

85.70

88.70

67.10

mACPpred44

48.90

75.40

81.90

47.90

80.70

84.20

58.60

MLACP2.043

55.70

79.20

84.90

53.60

83.80

89.30

63.90

ACPred-BMF(Main)88

19.80

67.20

58.40

26.30

60.00

32.60

37.80

ACPred-BMF(Alternate)

25.10

44.10

82.90

36.40

75.90

26.30

39.90

ACPred31

27.80

51.00

80.40

36.50

75.10

73.90

42.60

AMPfun89

42.90

76.90

75.80

41.20

76.00

80.20

53.70

AntiCP2.0(Main)41

17.80

43.30

77.20

29.50

71.00

59.70

35.10

AntiCP2.0(Alternate)

47.20

60.50

88.70

54.30

83.60

83.50

57.20

CancerGram90

11.00

6.60

98.10

43.50

81.50

67.30

11.40

iDACP91

25.50

20.30

96.30

54.60

82.50

85.20

29.60