Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network

@article{Brusic1998PredictionOM,
  title={Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network},
  author={Vladimir Brusic and George B. Rudy and G. Honeyman and J{\"u}rgen Hammer and Leonard C. Harrison},
  journal={Bioinformatics},
  year={1998},
  volume={14 2},
  pages={121-30}
}
MOTIVATION 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. RESULTS Experimental binding data and expert knowledge of anchor positions and binding motifs were combined with an evolutionary algorithm (EA) and an artificial neural network (ANN… CONTINUE READING
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