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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.