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Table 1 The number of proteins in four datasets and the corresponding prediction accuracies.

From: An improved classification of G-protein-coupled receptors using sequence-derived features

Dataset Family/sub-subfamily Tot(i) c(i) ACC(%)
D167 Acetylcholine 31 31 100
  Adrenoceptor 44 44 100
  Dopamine 38 36 94.74
  Serotonin 54 53 98.15
  Overall 167 164 98.2
D566 Adrenoceptor 66 65 98.48
  Chemokine 92 90 97.83
  Dopamine 43 40 93.02
  Neuropeptide 31 30 96.77
  Olfactory 84 84 100
  Rhodopsin 183 180 98.36
  Serotonin 67 65 97.01
  Overall 566 554 97.88
D1238 Rhodopsin-like 1103 1102 99.91
  Secretin-like 84 83 98.81
  Metabotrophic/glutamate/pheromone 51 50 98.04
  Overall 1238 1235 99.76
D365 Rhodopsin-like 232 222 95.69
  Secretin-like 39 34 87.18
  Metabotrophic/glutamate/pheromone 44 39 88.64
  Fungal pheromone 23 22 95.65
  CAMP receptor 10 10 100
  Frizzled/smoothened 17 11 64.71
  Overall 365 338 92.6
  1. Tot(i) is the number of sequences observed in class i, c(i) is the number of correctly predicted sequences of class i, and ACC is the prediction accuracy.