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Table 1 SVM performance in predicting pore-lining residues, pore-lining helices and discriminating between monomeric and multimeric pore stoichiometry

From: Detecting pore-lining regions in transmembrane protein sequences

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%
  1. 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.