|
Overall performance of ElliPro in comparison with other methods#. |
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| ElliPro (radius 6Å) |
PPI-PRED |
PatchDock |
ClusPro (DOT) |
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| Best prediction (score 0.5) |
Average (score 0.5) |
1st prediction (score 0.7) |
ProMate (patch) |
1st patch |
best patch |
1st model |
best model of top 10 |
1st model |
best model of top 10 |
CEP (average) |
DiscoTope (-7.7) |
|
|
|
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| Overall statistics |
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| sensitivity |
0.601 |
0.165 |
0.093 |
0.091 |
0.153 |
0.331 |
0.300 |
0.425 |
0.258 |
0.453 |
0.310 |
0.416 |
| 1-specificity |
0.138 |
0.109 |
0.047 |
0.083 |
0.161 |
0.135 |
0.135 |
0.114 |
0.079 |
0.067 |
0.223 |
0.214 |
| precision |
0.291 |
0.119 |
0.158 |
0.101 |
0.083 |
0.188 |
0.175 |
0.262 |
0.235 |
0.390 |
0.110 |
0.155 |
| accuracy |
0.840 |
0.832 |
0.879 |
0.841 |
0.780 |
0.819 |
0.816 |
0.846 |
0.863 |
0.892 |
0.739 |
0.754 |
| AUC |
0.732 |
0.528 |
0.523 |
0.504 |
0.496 |
0.598 |
0.583 |
0.656 |
0.589 |
0.693 |
0.544 |
0.601 |
| P-value |
0.00E+00 |
1.37E-04 |
9.52E-06 |
2.74E-01 |
1.0E+00 |
7.8E-30 |
9.0E-23 |
0.0E+00 |
7.9E-34 |
0.0E+00 |
4.3E-06 |
4.1E-25 |
| Statistics averaged over epitopes |
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| sensitivity |
0.58 ± 0.25 |
0.17 ± 0.10 |
0.10 ± 0.20 |
0.09 ± 0.17 |
0.15 ± 0.24 |
0.34 ± 0.32 |
0.29 ± 0.26 |
0.42 ± 0.29 |
0.25 ± 0.31 |
0.46 ± 0.28 |
0.34 ± 0.28 |
0.43 ± 0.31 |
| 1-specificity |
0.12 ± 0.10 |
0.11 ± 0.04 |
0.05 ± 0.03 |
0.08 ± 0.03 |
0.16 ± 0.07 |
0.14 ± 0.07 |
0.15 ± 0.06 |
0.13 ± 0.07 |
0.10 ± 0.07 |
0.08 ± 0.05 |
0.28 ± 0.20 |
0.22 ± 0.15 |
| precision |
0.44 ± 0.22 |
0.13 ± 0.06 |
0.16 ± 0.28 |
0.11 ± 0.20 |
0.10 ± 0.17 |
0.21 ± 0.24 |
0.19 ± 0.20 |
0.30 ± 0.25 |
0.25 ± 0.33 |
0.41 ± 0.29 |
0.11 ± 0.08 |
0.18 ± 0.12 |
| accuracy |
0.85 ± 0.08 |
0.82 ± 0.05 |
0.87 ± 0.05 |
0.83 ± 0.05 |
0.77 ± 0.07 |
0.81 ± 0.08 |
0.80 ± 0.08 |
0.83 ± 0.09 |
0.84 ± 0.09 |
0.88 ± 0.07 |
0.69 ± 0.17 |
0.74 ± 0.12 |
| AUC |
0.73 ± 0.11 |
0.53 ± 0.03 |
0.53 ± 0.10 |
0.51 ± 0.09 |
0.50 ± 0.13 |
0.60 ± 0.17 |
0.57 ± 0.14 |
0.64 ± 0.17 |
0.58 ± 0.17 |
0.69 ± 0.15 |
0.53 ± 0.08 |
0.60 ± 0.13 |
|
# – best prediction, patch, or model corresponds to the most significant (minimal P-value) of the predicted epitopes | ||||||||||||
Ponomarenko et al. BMC Bioinformatics 2008 9:514 doi:10.1186/1471-2105-9-514 |
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