Table 4 |
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|
Overall performance of patch prediction and protein-protein docking methods |
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|
statistics |
ProMate |
PPI-PRED 1st patch |
PPI-PRED best patch |
PatchDock 1st model |
PatchDock best model of 10 |
ClusPro (DOT) 1st model |
ClusPro (DOT) best model of 10 |
CEP |
DiscoTope (-7.7) |
|
|
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|
sensitivity |
0.091 |
0.153 |
0.331 |
0.300 |
0.425 |
0.258 |
0.453 |
0.310 |
0.416 |
|
1-specificity |
0.083 |
0.161 |
0.135 |
0.135 |
0.114 |
0.079 |
0.067 |
0.223 |
0.214 |
|
PPV |
0.101 |
0.083 |
0.188 |
0.175 |
0.262 |
0.235 |
0.390 |
0.110 |
0.155 |
|
accuracy |
0.841 |
0.780 |
0.819 |
0.816 |
0.846 |
0.863 |
0.892 |
0.739 |
0.754 |
|
AUC |
0.504 |
0.496 |
0.598 |
0.583 |
0.656 |
0.589 |
0.693 |
0.544 |
0.601 |
|
|
|||||||||
|
P-value |
0.27 |
1.0 |
7.8E-30 |
9.0E-23 |
<1.0E-50 |
7.9E-34 |
<1.0E-50 |
4.3E-06 |
4.1E-25 |
|
|
|||||||||
|
Statistics averaged over epitopes |
|||||||||
|
sensitivity |
0.09 ± 0.17 |
0.15 ± 0.24 |
0.34 ± 0.32 |
0.27 ± 0.24 |
0.42 ± 0.29 |
0.25 ± 0.31 |
0.46 ± 0.28 |
0.34 ± 0.28 |
0.43 ± 0.31 |
|
1-specificity |
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 |
|
PPV |
0.11 ± 0.20 |
0.10 ± 0.17 |
0.21 ± 0.24 |
0.18 ± 0.19 |
0.30 ± 0.25 |
0.25 ± 0.33 |
0.41 ± 0.29 |
0.11 ± 0.08 |
0.18 ± 0.12 |
|
accuracy |
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 |
0.51 ± 0.09 |
0.50 ± 0.13 |
0.60 ± 0.17 |
0.56 ± 0.11 |
0.64 ± 0.17 |
0.58 ± 0.17 |
0.69 ± 0.15 |
0.53 ± 0.08 |
0.60 ± 0.13 |
|
|
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|
Ponomarenko and Bourne BMC Structural Biology 2007 7:64 doi:10.1186/1472-6807-7-64 |
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