標題: Template-based Scoring Functions for Visualizing Biological Insights of H-2K(b)-peptide-TCR Complexes
作者: Liu, I-Hsin
Lo, Yu-Shu
Yang, Jinn-Moon
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
關鍵字: component;template-based scoring function;protein-peptide interaction;MHC-peptide-TCR complex;H-2K(b)
公開日期: 1-一月-2010
摘要: Class-I 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. These servers are often lack of detailed interacting residues and binding models for analyzing MHC-peptide-TCR interaction mechanisms. This study numerously enhanced the template-based scoring function derived from protein-protein interactions for identifying MHC-peptide-TCR binding models. The scoring function considers both the template similarity and interacting force to ensure the statistically significant interface similarity between the peptide candidates and structure templates. The result shows that our scoring function is comparative to the public websites for identifying MHC binding peptides. Our model, considering both the MHC-peptide and peptide-TCR interfaces, is able to provide visualization and the biological insights of MHC-peptide-TCR binding models. We believe that our model is useful for the development of peptide-based vaccines.
URI: http://hdl.handle.net/11536/146802
ISSN: 2156-1125
期刊: 2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE
起始頁: 127
結束頁: 132
顯示於類別:會議論文