Table 8 |
||||||
|
Comparison to other protein disorder predictors over a blind-test set. The non-redundant blind-test set contained 1,304 recent PDB chains that were unrelated to any VSL2 training sequence. The three VSL2 predictors were re-trained with all 1,327 training sequences. The prediction accuracies were calculated at default thresholds, e.g. 0.5 for VL-XT, VL3-E, VSL1, VSL2B, VSL2P and VSL2. |
||||||
|
SN |
SP |
ACC |
SNS |
SNL |
AUC |
|
|
|
||||||
|
VL-XT |
56.0 |
77.9 |
67.0 |
55.8 |
53.0 |
74.4 |
|
VL3-E |
28.4 |
91.4 |
59.9 |
26.8 |
59.7 |
69.2 |
|
DisEMBL |
25.9 |
97.9 |
61.9 |
25.7 |
26.5 |
83.9 |
|
RONN |
34.7 |
88.8 |
61.8 |
33.6 |
56.4 |
67.2 |
|
DISOPRED2 |
53.8 |
94.7 |
74.2 |
53.5 |
48.6 |
84.6 |
|
VSL1 |
75.6 |
85.8 |
80.7 |
76.1 |
63.6 |
88.5 |
|
VSL2B |
73.7 |
80.8 |
77.3 |
74.2 |
63.1 |
84.1 |
|
VSL2P |
78.4 |
80.4 |
79.4 |
78.5 |
71.6 |
86.7 |
|
VSL2 |
79.4 |
81.4 |
80.4 |
79.6 |
73.7 |
87.5 |
|
|
||||||
|
(a) per-chain |
||||||
|
|
||||||
|
SN |
SP |
ACC |
SNS |
SNL |
AUC |
|
|
|
||||||
|
VL-XT |
54.2 |
79.2 |
66.7 |
54.7 |
52.3 |
74.0 |
|
VL3-E |
36.5 |
93.9 |
65.2 |
30.5 |
59.2 |
75.9 |
|
DisEMBL |
25.3 |
98.3 |
61.8 |
25.4 |
24.7 |
80.1 |
|
RONN |
41.6 |
89.1 |
65.4 |
39.1 |
51.2 |
71.3 |
|
DISOPRED2 |
47.8 |
95.6 |
71.7 |
48.7 |
44.6 |
83.4 |
|
VSL1 |
68.3 |
87.4 |
77.9 |
70.9 |
58.3 |
86.2 |
|
VSL2B |
67.1 |
82.6 |
74.8 |
68.9 |
60.3 |
82.0 |
|
VSL2P |
72.7 |
82.5 |
77.6 |
74.2 |
67.1 |
85.3 |
|
VSL2 |
74.7 |
82.8 |
78.7 |
76.1 |
69.4 |
86.3 |
|
|
||||||
|
(b) per-residue |
||||||
|
|
||||||
|
Peng et al. BMC Bioinformatics 2006 7:208 doi:10.1186/1471-2105-7-208 |
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