title: HLA-peptide binding prediction using structural and modeling principles.
abstract: 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.
authors.affiliation: School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.
authors.forename: Pandjassarame
authors.initials: P
authors.lastname: Kangueane
authors.forename: Meena Kishore
authors.initials: MK
authors.lastname: Sakharkar
mesh_terms: D000483:Alleles; D019295:Computational Biology; D003198:Computer Simulation; D006680:HLA Antigens / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*; D006801:Humans; D007125:Immunogenetics; D008024:Ligands; D010455:Peptides / Q000737:chemistry / Q000276:immunology / Q000378:metabolism*; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship; D013816:Thermodynamics; D014584:User-Computer Interface
chemical_list: D006680:HLA Antigens; D008024:Ligands; D010455:Peptides