In the present work we described the procedure implemented to cope with the Epitope-Antibody Recognition (EAR) Specificity Prediction Challenge of the DREAM5 competition. The aim of the EAR challenge was to extract rules able to predict the binding of a peptide/epitope to a human antibody. A training set of peptides with experimentally identified high and low reactivity to human antibodies was provided. The challenge consists therefore in determining whether the peptides of an independent test set belong to the positive or negative set.