Table 1 Representative peptide-based methods for predicting linear B-cell epitopes.
From: Prediction of linear B-cell epitopes of hepatitis C virus for vaccine development
Method | Number of propensities | Number of features | Propensity/features | Classifier |
|---|---|---|---|---|
ABCpred [12] | single | 400 | AAP propensity | Neural network (NN) |
BCPred [15] | single | Â | AAP propensity | SVM |
BepiPred [14] | single | Â | Hydrophilicity propensity | Hidden Markov Model (HMM) |
GFSMLP [17] | 8 | 160 | Solvent accessibility, and beta-turn propensities | SVM, NN |
BayesB [18] | None | 400 | Position-specific scoring matrix (PSSM) with PSI-BLAST | SVM |
SVMTriP [19] | single | 8000 | Tri-peptide | SVM |
Bcell-HCV (this work) | 6 [49] | 34 | PCP features | SVM |