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Table 2 The table shows the comparison of our method with other methods and with HMM-ModE/HMMER2 [9] to classify D167 dataset

From: HMM-ModE: implementation, benchmarking and validation with HMMER3

Dataset

Sub-family

Total

Predicted

   

Accuracy

    

This paper

[9]

[23]

[15]

[16]

[18]

[22]

[25]

D167

Acetylcholine

31

29

93.54

93.54

100

67.74

90.3

93.6

93.3

96.7

Adrenoceptor

44

44

100

81.81

100

88.64

86.4

100

100

100

Dopamine

38

37

97.36

97.36

94.74

81.58

78.9

92.1

94.7

92.1

 

Serotonin

54

54

100

81.48

98.15

88.89

79.6

98.2

100

100

  1. Accuracy is calculated as (TP + TN)/(TP + FN + TN + FP) here and throughout.
  2. “Total” is the number of sequences observed in a sub-family, “Predicted” is the number of sequences correctly predicted by our method. The accuracy values for the other methods are directly taken from their articles. The data in bold depicts the results using HMM-ModE with HMMER3 and HMMER2.