Dataset Information

HLA-DM captures partially empty HLA-DR molecules for catalyzed removal of peptide.

ABSTRACT: The mechanisms of HLA-DM-catalyzed peptide exchange remain uncertain. Here we found that all stages of the interaction of HLA-DM with HLA-DR were dependent on the occupancy state of the peptide-binding groove. High-affinity peptides were protected from removal by HLA-DM through two mechanisms: peptide binding induced the dissociation of a long-lived complex of empty HLA-DR and HLA-DM, and high-affinity HLA-DR-peptide complexes bound HLA-DM only very slowly. Nonbinding covalent HLA-DR-peptide complexes were converted into efficient HLA-DM binders after truncation of an N-terminal peptide segment that emptied the P1 pocket and disrupted conserved hydrogen bonds to HLA-DR. HLA-DM thus binds only to HLA-DR conformers in which a critical part of the binding site is already vacant because of spontaneous peptide motion.

SUBMITTER: Anders AK

PROVIDER: S-EPMC3018327 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

HLA-DM captures partially empty HLA-DR molecules for catalyzed removal of peptide.

Anders Anne-Kathrin AK Call Melissa J MJ Schulze Monika-Sarah E D MS Fowler Kevin D KD Schubert David A DA Seth Nilufer P NP Sundberg Eric J EJ Wucherpfennig Kai W KW

Nature immunology 20101205 1

The mechanisms of HLA-DM-catalyzed peptide exchange remain uncertain. Here we found that all stages of the interaction of HLA-DM with HLA-DR were dependent on the occupancy state of the peptide-binding groove. High-affinity peptides were protected from removal by HLA-DM through two mechanisms: peptide binding induced the dissociation of a long-lived complex of empty HLA-DR and HLA-DM, and high-affinity HLA-DR-peptide complexes bound HLA-DM only very slowly. Nonbinding covalent HLA-DR-peptide com ...[more]

PMID: 21131964

Similar Datasets

Project description:MOTIVATION:Accurate identification of peptides binding to specific Major Histocompatibility Complex Class II (MHC-II) molecules is of great importance for elucidating the underlying mechanism of immune recognition, as well as for developing effective epitope-based vaccines and promising immunotherapies for many severe diseases. Due to extreme polymorphism of MHC-II alleles and the high cost of biochemical experiments, the development of computational methods for accurate prediction of binding peptides of MHC-II molecules, particularly for the ones with few or no experimental data, has become a topic of increasing interest. TEPITOPE is a well-used computational approach because of its good interpretability and relatively high performance. However, TEPITOPE can be applied to only 51 out of over 700 known HLA DR molecules. METHOD:We have developed a new method, called TEPITOPEpan, by extrapolating from the binding specificities of HLA DR molecules characterized by TEPITOPE to those uncharacterized. First, each HLA-DR binding pocket is represented by amino acid residues that have close contact with the corresponding peptide binding core residues. Then the pocket similarity between two HLA-DR molecules is calculated as the sequence similarity of the residues. Finally, for an uncharacterized HLA-DR molecule, the binding specificity of each pocket is computed as a weighted average in pocket binding specificities over HLA-DR molecules characterized by TEPITOPE. RESULT:The performance of TEPITOPEpan has been extensively evaluated using various data sets from different viewpoints: predicting MHC binding peptides, identifying HLA ligands and T-cell epitopes and recognizing binding cores. Among the four state-of-the-art competing pan-specific methods, for predicting binding specificities of unknown HLA-DR molecules, TEPITOPEpan was roughly the second best method next to NETMHCIIpan-2.0. Additionally, TEPITOPEpan achieved the best performance in recognizing binding cores. We further analyzed the motifs detected by TEPITOPEpan, examining the corresponding literature of immunology. Its online server and PSSMs therein are available at http://www.biokdd.fudan.edu.cn/Service/TEPITOPEpan/.

Dataset Information

HLA-DM captures partially empty HLA-DR molecules for catalyzed removal of peptide.

Publications

HLA-DM captures partially empty HLA-DR molecules for catalyzed removal of peptide.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets