Template-based scoring functions for visualising biological insights of H-2Kb-peptide-TCR complexes

I. Hsin Liu, Yu Shu Lo, Jinn-Moon Yang*

*Corresponding author for this work

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)326-337
Number of pages12
JournalInternational Journal of Data Mining and Bioinformatics
Volume8
Issue number3
DOIs
StatePublished - 11 Sep 2013

Keywords

  • Major histocompatibility complex
  • MHC
  • Peptide
  • T-cell receptor
  • TCR
  • Template-based scoring function

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