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HLA-DP2 binding prediction by molecular dynamics simulations.

Protein Science : A Publication of the Protein Society

Amino Acid Sequence, Amino Acid Substitution, Binding Sites, immunology, Crystallography, X-Ray, HLA-DP beta-Chains, chemistry, metabolism, Humans, Major Histocompatibility Complex, Protein Binding, Models, Molecular, Molecular Dynamics Simulation, Peptide Library

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      Abstract

      Major histocompatibility complex (MHC) II proteins bind peptide fragments derived from pathogen antigens and present them at the cell surface for recognition by T cells. MHC proteins are divided into Class I and Class II. Human MHC Class II alleles are grouped into three loci: HLA-DP, HLA-DQ, and HLA-DR. They are involved in many autoimmune diseases. In contrast to HLA-DR and HLA-DQ proteins, the X-ray structure of the HLA-DP2 protein has been solved quite recently. In this study, we have used structure-based molecular dynamics simulation to derive a tool for rapid and accurate virtual screening for the prediction of HLA-DP2-peptide binding. A combinatorial library of 247 peptides was built using the "single amino acid substitution" approach and docked into the HLA-DP2 binding site. The complexes were simulated for 1 ns and the short range interaction energies (Lennard-Jones and Coulumb) were used as binding scores after normalization. The normalized values were collected into quantitative matrices (QMs) and their predictive abilities were validated on a large external test set. The validation shows that the best performing QM consisted of Lennard-Jones energies normalized over all positions for anchor residues only plus cross terms between anchor-residues. Copyright © 2011 The Protein Society.

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      Journal
      21898654
      3267955
      10.1002/pro.732

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