Predicts the Protein Block (PB) for any given amino acid sequence. The input features of SVM-PB-Pred include i) sequence profiles (PSSM) and ii) actual secondary structures (SS) from DSSP method or predicted secondary structures from [email protected]
and GOR4 methods. This tool uses four different datasets for training the support vector machine (SVM) models to predict the PB sequence of a given query protein sequence. SVM-PB-Pred request the users to provide amino acid sequence, secondary structures and sequence profile (PSSM) files as their default file formats.