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Table 3 The table shows the comparison of our method with PCA-GPCR and with HMM-ModE/HMMER2 [9] to classify D566 dataset

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

Dataset

Sub-family

Total

Predicted

Accuracy

This Paper

[9]

[23]

D566

Adrenoceptor

66

65

98.48

84.84

98.48

Chemokine

92

84

91.30

91.30

97.83

Dopamine

43

41

95.34

88.37

93.02

Neuropeptide

31

31

100

96.77

96.77

Olfactory

84

84

100

100

100

Rhodopsin

183

183

100

100

98.36

 

Serotonin

67

67

100

77.61

97.01

  1. “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 method are directly taken from their article.
  2. The data in bold depicts the results using HMM-ModE with HMMER3 and HMMER2.