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Title
Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network.
Authors
Brusic, V; Rudy, G; Honeyman, G; Hammer, J; Harrison, L
Abstract
Prediction methods for identifying binding peptides could minimize the number of peptides required to be synthesized and assayed, and thereby facilitate the identification of potential T-cell epitopes. We developed a bioinformatic method for the prediction of peptide binding to MHC class II molecules.