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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.