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. 2014 Jul 30;7:483. doi: 10.1186/1756-0500-7-483

Table 1.

Performance evaluation of the new version of our method HMM-ModE on ‘gold standard’ dataset and comparison with HMM-ModE/HMMER2 [9]

SuperFamily Family # Seq HMM-d
HMM-ModE with HMMER3 (HMMER2)
Se Sp Se Sp
AminoHydrolase
AMP deaminase
28
1
0.90
1(1)
1(1)
urease
100
1
0.50
1(1)
1(1)
D-hydantoinase
10
1
0.05
1(1)
1(1)
Dihydroorotase 2
13
1
0.14
1(1)
1(1)
Guanine deaminase
11
1
0.22
1(1)
1(1)
Adenosine deaminase
10
1
0.35
1(1)
1(1)
Enolase
Enolase
215
1
0.88
1(1)
1(1)
Glucarate dehydratase
26
1
0.20
1(1)
1(1)
Muconate cycloisomerase
14
1
0.09
1(1)
1(1)
Chloromuconate cycloisomerase
10
1
0.05
1(1)
1(1)
Crotonase
Enoyl-CoA hydratase
54
1
0.23
1(1)
1(1)
Histone acetyltransferase
11
11
0.09
1(1)
1(1)
Haloacid Dehydrogenase
P-type atpase
91
1
0.77
1(1)
1(1)
Vicinal Oxygen chelate Catechol 2,3-dioxygenase
32
1
0.28
1(1)
0.88 (0.88)
4-Hydroxyphenylpyruvate dioxygenase
26
1
0.60
1(1)
1(1)
2,3-Dihydroxybiphenyl dioxygenase
23
1
0.20
0.95 (1)
0.71(0.63)
Glyoxalase 1 12 1 0.20 1(1) 1(1)

HMM-d stands for default HMMER and # Seq stands for number of sequences in each family. Se is Sensitivity and Sp is Specificity. Sn is the sensitivity value calculated as TP/(TP + FN), and Sp is the specificity calculated as TP/(TP + FP). As shown here, there is a significant improvement in the specificity of the predictions with small compromise in the respective sensitivity using HMM-ModE.

The corresponding values of Se and Sp using HMM-ModE with HMMER2 is written in parenthesis.