[Prediction and binding of a mutant p53 peptide to MHC class I molecule].
OBJECTIVE
To predict tumor antigenic peptides from the intact amino acid sequence of tumor antigens, thereby providing a guide to the design and development of tumor peptide-based vaccines.


METHODS
Antigenic peptides were predicted by using a computer program PEPMOTIF based on MHC class I allele-specific consensus motifs; and a scoring system was established to assess the likelihood of the peptides to bind to MHC class I molecules. MHC class I-peptide binding assay and MHC class I-peptide stabilization assay were used to determine the binding ability and affinity of the predicted peptides.


RESULTS
Three peptides derived from mouse mutant p53 were predicted. mp53P132F(LNKLFFQL) was shown to bind to H-2Kb, but not H-2Db. mp53P246S (MGGMNRSPIL) and mp53P270C (GRDSFEVCV) bound to neither H-2Kb nor H-2Db. A relationship was found between peptide scores and binding of the peptides to the relevant MHC class I molecules.


CONCLUSIONS
The computer program PEPMOTIF combining with a scoring system is a simple and efficient tool for predicting MHC class I binding peptides derived from antigenic proteins.
Huang
L
L
Cancer Institute, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing.
Luo
L
L
Li
M
M
D000818:Animals; D006183:H-2 Antigens / Q000276:immunology* / Q000378:metabolism; D016399:Lymphoma, T-Cell / Q000473:pathology; D051379:Mice; D008810:Mice, Inbred C57BL; D009842:Oligopeptides / Q000096:biosynthesis* / Q000378:metabolism; D017354:Point Mutation; D011485:Protein Binding; D014407:Tumor Cells, Cultured; D016159:Tumor Suppressor Protein p53 / Q000235:genetics / Q000378:metabolism*
D006183:H-2 Antigens; C078460:H-2K(sm1) antigen; D009842:Oligopeptides; D016159:Tumor Suppressor Protein p53