title: Template-based scoring functions for visualising biological insights of H-2Kb-peptide-TCR complexes.
abstract: Major Histocompatibility Complex (MHC), peptide and T-Cell Receptor (TCR) play an essential role of adaptive immune responses. Many prediction servers are available for identification of peptides that bind to MHC class I molecules but often lack detailed interacting residues for analysing MHC-peptide-TCR interaction mechanisms. This study considers both the interface similarity and the interacting force for identifying binding models. Our model, considering both the MHC-peptide and the peptide-TCR interfaces, is able to provide visualisation and the biological insights of binding models. We believe that our model is useful for the development of peptide-based vaccines.
authors.affiliation: Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 30050, Taiwan. liuihsin1112@gmail.com
authors.forename: I-Hsin
authors.initials: IH
authors.lastname: Liu
authors.affiliation: Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 30050, Taiwan.
authors.forename: Yu-Shu
authors.initials: YS
authors.lastname: Lo
authors.affiliation: Core Facility for Structural Bioinformatics, Institute of Bioinformatics and Systems Biology, Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 30050, Taiwan.
authors.forename: Jinn-Moon
authors.initials: JM
authors.lastname: Yang
mesh_terms: D000818:Animals; D001665:Binding Sites; D006183:H-2 Antigens / Q000737:chemistry* / Q000378:metabolism; D051379:Mice; D010455:Peptides / Q000737:chemistry* / Q000378:metabolism; D040901:Proteomics; D011948:Receptors, Antigen, T-Cell / Q000737:chemistry* / Q000378:metabolism
chemical_list: D006183:H-2 Antigens; D010455:Peptides; D011948:Receptors, Antigen, T-Cell