Table 1.
SVM performance in predicting pore-lining residues, pore-lining helices and discriminating between monomeric and multimeric pore stoichiometry
| Classifier | Precision | Recall | TPR | FPR | MCC | Accuracy |
|---|---|---|---|---|---|---|
| Pore-lining residue SVM |
0.64 |
0.54 |
0.69 |
0.39 |
0.30 |
65% |
| Pore-lining residue (naïve) |
0.53 |
0.23 |
0.23 |
0.21 |
0.03 |
51% |
| Pore-lining helix SVM |
0.74 |
0.35 |
0.57 |
0.16 |
0.43 |
72% |
| Pore-lining helix (naïve) |
0.50 |
0.17 |
0.22 |
0.17 |
0.15 |
55% |
| Monomeric/multimeric pore stoichiometry SVR | 0.88 | 0.49 | 0.92 | 0.11 | 0.80 | 90% |
TPR: True positive rate. FPR: False positive rate. Pore-lining helices were identified by averaging the raw SVM scores for each participating residue, while a threshold of 7 or more polar residues was found to be optimal for the naïve method.