Improved pan-specific MHC class I peptide-binding predictions using a novel representation of the MHC-binding cleft environment.

ABSTRACT: Major histocompatibility complex (MHC) molecules play a key role in cell-mediated immune responses presenting bounded peptides for recognition by the immune system cells. Several in silico methods have been developed to predict the binding affinity of a given peptide to a specific MHC molecule. One of the current state-of-the-art methods for MHC class I is NetMHCpan, which has a core ingredient for the representation of the MHC class I molecule using a pseudo-sequence representation of the binding cleft amino acid environment. New and large MHC-peptide-binding data sets are constantly being made available, and also new structures of MHC class I molecules with a bound peptide have been published. In order to test if the NetMHCpan method can be improved by integrating this novel information,

SUBMITTER: Carrasco Pro S 

PROVIDER: S-EPMC3925504 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature