Springer Protocols: Abstract: HLA–Peptide Binding Prediction Using Structural and Modeling Principles

HLA–Peptide Binding Prediction Using Structural and Modeling Principles

By: Pandjassarame Kangueane³, Meena Kishore Sakharkar³

Abstract

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Short peptides binding to specific human leukocyte antigen (HLA) alleles elicit immune response. These candidate peptides have potential utility in peptide vaccine design and development. The binding of peptides to allele-specific HLA molecule is estimated using competitive binding assay and biochemical binding constants. Application of this method for proteome-wide screening in parasites, viruses, and virulent bacterial strains is laborious and expensive. However, short listing of candidate peptides using prediction approaches have been realized lately. Prediction of peptide binding to HLA alleles using structural and modeling principles has gained momentum in recent years. Here, we discuss the current status of such prediction

Affiliation(s): (3) School of Mechanical and Aerospace Engineering, NANYANG Technological University, Singapore

Book Title: Immunoinformatics: Predicting Immunogenicity In Silico

Series: Methods in Molecular Biology | Volume: 409 | Pub. Date: Jun-21-2007 | Page Range: 293-299 | DOI: 10.1007/978-1-60327-118-9_21

Subject: Immunology

Key Words: HLA-peptide binding - modeling - dynamics simulation - threading - optimization - free energy - virtual matrix - virtual pockets - QSAR

References

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