Open AccessPredicting class II MHC/peptide multi-level binding with an iterative stepwise discriminant analysis meta-algorithm
Author(s) -
Ronna Mallios
Publication year - 2001
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/17.10.942
Subject(s) - major histocompatibility complex , human leukocyte antigen , linear discriminant analysis , computer science , mhc class i , computational biology , discriminant , class (philosophy) , algorithm , data mining , artificial intelligence , antigen , biology , immunology
Predicting peptides that bind to both Major Histocompatibility Complex (MHC) molecules and T cell receptors provides crucial information for vaccine development. An agretope is that portion of a peptide that interacts with an MHC molecule. The identification and prediction of agretopes is the first step towards vaccine design.
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