title: Structure-based clustering of major histocompatibility complex (MHC) proteins for broad-based T-cell vaccine design.
abstract: Structure-based clustering technique is useful for identifying superfamilies of major histocompatibility complex (MHC) proteins with similar binding specificities. The resolved MHC superfamilies play an important role in vaccine development, from discovering new targets for broad-based vaccines and therapeutics to optimizing the affinity and selectivity of hits. Here, we describe a protocol and provide a summary for grouping MHC proteins according to their structural interaction characteristics.
authors.affiliation: Institute of High Performance Computing, 1 Fusionopolis Way, #16-16, Connexis North Tower, Singapore, 138632, Singapore, victor@bic.nus.edu.sg.
authors.forename: Joo Chuan
authors.initials: JC
authors.lastname: Tong
authors.forename: Tin Wee
authors.initials: TW
authors.lastname: Tan
authors.forename: Shoba
authors.initials: S
authors.lastname: Ranganathan
mesh_terms: D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D017076:Computer-Aided Design; D016208:Databases, Factual; D006680:HLA Antigens / Q000737:chemistry / Q000276:immunology; D006801:Humans; D008285:Major Histocompatibility Complex; D012984:Software; D040681:Structural Homology, Protein; D013601:T-Lymphocytes / Q000276:immunology*; D014612:Vaccines / Q000737:chemistry / Q000276:immunology*
chemical_list: D006680:HLA Antigens; D014612:Vaccines