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 language | English |
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Pages (from-to) | 326-337 |
Number of pages | 12 |
Journal | International Journal of Data Mining and Bioinformatics |
Volume | 8 |
Issue number | 3 |
DOIs | |
State | Published - 11 Sep 2013 |
Keywords
- Major histocompatibility complex
- MHC
- Peptide
- T-cell receptor
- TCR
- Template-based scoring function