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An automated prediction of MHC class I-binding peptides based on positional scanning with peptide libraries.
- Source :
-
Immunogenetics [Immunogenetics] 2000 Aug; Vol. 51 (10), pp. 816-28. - Publication Year :
- 2000
-
Abstract
- Specificities of three mouse major histocompatibility complex (MHC) class I molecules, Kb, Db, and Ld, were analyzed by positional scanning using combinatorial peptide libraries. The result of the analysis was used to create a scoring program to predict MHC-binding peptides in proteins. The capacity of the scoring was then challenged with a number of peptides by comparing the prediction with the experimental binding. The score and the experimental binding exhibited a linear correlation but with substantial deviations of data points. Statistically, for approximately 80% of randomly chosen peptides, MHC-binding capacity could be predicted within one log concentration of peptides for a half-maximal binding. Known cytotoxic T-lymphocyte epitope peptides could be predicted, with a few exceptions. In addition, frequent findings of MHC-binding peptides with incomplete or no anchor amino acid(s) suggested a substantial bias introduced by natural antigen processing in peptide selection by MHC class I molecules.
- Subjects :
- Animals
Automation
Binding Sites
Cell Line
Epitopes, T-Lymphocyte immunology
H-2 Antigens immunology
Histocompatibility Antigen H-2D
Histocompatibility Antigens Class I metabolism
Mice
Peptides metabolism
Antigen Presentation immunology
Histocompatibility Antigens Class I immunology
Major Histocompatibility Complex immunology
Peptide Library
Peptides immunology
Subjects
Details
- Language :
- English
- ISSN :
- 0093-7711
- Volume :
- 51
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Immunogenetics
- Publication Type :
- Academic Journal
- Accession number :
- 10970096
- Full Text :
- https://doi.org/10.1007/s002510000217