Table 3 Comparison results of the EviDTI and baselines on the Davis dataset

From: Evidential deep learning-based drug-target interaction prediction

Davis

Accuracy (std)

Recall (std)

Precision (std)

MCC (std)

F1 score (std)

AUC (std)

AUPR (std)

RF

84.48 (0.60)

65.01 (1.47)

80.70 (1.87)

64.12 (2.11)

72.01 (1.49)

89.64 (0.68)

83.04 (1.68)

NB

67.53 (0.92)

61.70 (1.82)

47.78 (1.95)

45.21 (1.68)

53.85 (1.72)

70.11 (1.39)

58.43 (2.09)

SVM

82.13 (0.59)

59.70 (1.57)

76.96 (2.19)

60.23 (1.45)

67.24 (1.61)

87.85 (0.78)

80.16 (1.65)

DeepConv-DTI

86.41 (0.27)

72.14 (0.33)

77.85 (0.44)

64.53 (0.35)

74.89 (0.64)

91.83 (0.20)

83.87 (0.62)

GraphDTA

81.72 (0.19)

53.01 (1.76)

74.33 (1.45)

62.42 (0.67)

71.83 (0.82)

85.92 (0.43)

74.31 (0.74)

MolTrans

83.61 (0.18)

76.31 (0.34)

68.87 (0.24)

62.91 (0.13)

72.40 (0.17)

89.84 (0.22)

80.26 (0.66)

HyperAttention

86.61 (0.14)

78.01 (0.23)

75.41 (0.16)

67.54 (0.28)

74.21 (0.22)

92.01 (0.14)

83.92 (0.13)

TransformerCPI

82.22 (0.16)

68.82 (0.38)

68.81 (0.37)

64.21 (0.24)

72.41 (0.25)

87.72 (0.16)

76.71 (0.18)

GraphormerDTI

84.81 (0.84)

83.78 (2.52)

68.43 (2.18)

65.22 (1.84)

75.28 (1.43)

91.24 (0.74)

84.31 (1.48)

AIGO-DTI

86.19 (0.79)

72.55 (2.94)

78.01 (2.11)

65.72 (1.96)

75.12 (1.52)

92.01 (0.97)

84.81 (1.10)

DLM-DTI

85.66 (0.47)

74.08 (2.50)

75.26 (1.92)

64.68 (1.27)

74.62 (1.03)

91.30 (0.35)

82.48 (0.86)

EviDTI

87.40 (1.08)

72.93 (1.93)

81.17 (2.94)

68.40 (2.78)

76.81 (2.03)

92.10 (0.78)

85.07 (2.12)

  1. The best results are highlighted in bold, while the second-best results are underlined. Five independent replications of each method were performed (n = 5). Data are expressed as means (std).