Title: Template-based scoring functions for visualising biological insights of H-2K^b-peptide-TCR complexes

Authors: I-Hsin Liu; Yu-Shu Lo; Jinn-Moon Yang

Addresses: Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 30050, Taiwan ' Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu 30050, Taiwan ' Core Facility for Structural Bioinformatics, Institute of Bioinformatics and Systems Biology, Department of Biological Science and Technology, National Chiao Tung University, Hsinchu 30050, Taiwan

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.

Keywords: MHC; major histocompatibility complex; TCR; T-cell receptors; template-based scoring function; peptides; bioinformatics; adaptive immune responses; visualisation; biological insights; binding models; peptide-based vaccines.

DOI: 10.1504/IJDMB.2013.056079

International Journal of Data Mining and Bioinformatics, 2013 Vol.8 No.3, pp.326 - 337

Received: 04 May 2011
Accepted: 04 May 2011
Published online: 20 Oct 2014 *

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