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Fig. 6 | Journal of Translational Medicine

Fig. 6

From: COSMIC-based mutation database enhances identification efficiency of HLA-I immunopeptidome

Fig. 6

Evaluation of mutant peptides identified from HLA-I immunopeptides using COSMIC-based database. A. Intensity comparison of total peptides and mutant peptides identified HLA-I immunopeptides. B. Hyperscore comparison of total peptides and mutant peptides identified HLA-I immunopeptides. C. Intensity distribution of all of the identified HLA-I immunopeptides as well as mutant peptides. D. Hyperscore distribution of all of the identified HLA immunopeptides as well as mutant peptides. E. HLA-I affinity distribution of all of the identified HLA immunopeptides as well as mutant peptides. F. MS2 spectra of a mutant peptide “RYSEYTEEF”. G. Simulated structures of mutant peptide “SLFDASHML” and wild type peptide “SLFDVSHML” predicted by Kyte-Doolittle method. Color represents the hydrophobicity of the molecular surface. H. Simulated structures of mutant peptide “RYSEYTEEF” and wild type peptide “RYSEYTAEF”. Colour represents hydrophobicity of the molecular surface. I. Structures of mutant peptides “SLFDASHML” and “SLFDVSHML” binding groove of HLA*A02:01 predicted by HPEPDOCK. Hydrogen bond link and atomic distance between peptide and HLA. J. Structures of mutant peptides “RYSEYTEEF” and “RYSEYTAEF” binding groove of HLA*A24:02 predicted by HPEPDOCK. Hydrogen bond link and atomic distance between peptide and HLA-I molecule

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