NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction.

ABSTRACT:

Background

The major histocompatibility complex (MHC) molecule plays a central role in controlling the adaptive immune response to infections. MHC class I molecules present peptides derived from intracellular proteins to cytotoxic T cells, whereas MHC class II molecules stimulate cellular and humoral immunity through presentation of extracellularly derived peptides to helper T cells. Identification of which peptides will bind a given MHC molecule is thus of great importance for the understanding of host-pathogen interactions, and large efforts have been placed in developing algorithms capable of predicting this binding event.

Results

Here, we present a novel artificial neural network-based method, NN-align that allows for simultaneous identification of the MHC class II bindi

SUBMITTER: Nielsen M 

PROVIDER: S-EPMC2753847 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature