Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
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Current software tools and algorithms for prediction of HLA class I peptide binding prediction are based on the frequency of 2 anchoring residues from peptides of 8 to 9 residues long with less account for variable peptide length or amino acid residues internal to anchor positions. We herein propose an algorithm based on data obtained by mass spectrometric sequencing of eluted peptides using amino acid properties of key peptide anchor position residues and internal residues between anchor positions.