Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms
Open Access
- 22 November 2007
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 8 (1) , 459
- https://doi.org/10.1186/1471-2105-8-459
Abstract
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.Keywords
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