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Table 4 The performance of SVM model on realistic dataset using SRT, DPT and TPT (See Additional file 1 Table S7-12 for detail)

From: Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information

Types of patterns

Method

Sensitivity (Recall)

Specificity

Accuracy

Precision

MCC

F1 Score

SRT

Single Sequence

24.00

99.36

95.65

0.66

0.38

0.36

 

PSSM profile

41.65

99.55

96.57

0.83

0.57

0.56

DPT

Single Sequence

51.22

93.52

89.65

0.44

0.42

0.48

 

PSSM profile

62.31

98.63

95.33

0.82

0.69

0.71

TPT

Single Sequence

50.39

94.60

90.61

0.48

0.44

0.49

 

PSSM profile

66.80

99.11

96.30

0.88

0.75

0.76

  1. Where SRT: Single Residue based Technique
  2. DPT: Dipeptide based Technique
  3. TPT: Tripeptide based Technique