Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms.

ABSTRACT:

Background

Peptides binding to Major Histocompatibility Complex (MHC) class II molecules are crucial for initiation and regulation of immune responses. Predicting peptides that bind to a specific MHC molecule plays an important role in determining potential candidates for vaccines. The binding groove in class II MHC is open at both ends, allowing peptides longer than 9-mer to bind. Finding the consensus motif facilitating the binding of peptides to a MHC class II molecule is difficult because of different lengths of binding peptides and varying location of 9-mer binding core. The level of difficulty increases when the molecule is promiscuous and binds to a large number of low affinity peptides. In this paper, we propose two approaches using multi-objective evolutionary algorithms (

SUBMITTER: Rajapakse M 

PROVIDER: S-EPMC2212666 | biostudies-literature | 2007 Nov

REPOSITORIES: biostudies-literature