PREDNOD, a prediction server for peptide binding to the H-2g7 haplotype of the non-obese diabetic mouse

Autoimmunity. 2006 Dec;39(8):645-50. doi: 10.1080/08916930601062494.

Abstract

The non-obese diabetic (NOD) mouse is a widely used animal model for study of autoimmune diseases, in particular human type 1 diabetes mellitus (T1DM). Identification of the subset of peptides that bind MHC molecules comprising the H-2g7 haplotype of NOD mouse and thereby representing potential NOD T-cell epitopes is important for research into the pathogenesis and immunotherapy of T1DM. The H-2g7 haplotype comprises the MHC class-I molecules Kd and Db and a single class-II molecule I-Ag7. We have developed a prediction system, PREDNOD, for accurate identification of peptides that bind the MHC molecules constituting the H-2g7 haplotype. PREDNOD is accessible at http://antigen.i2r.a-star.edu.sg/Ag7.

MeSH terms

  • Algorithms
  • Amino Acid Sequence
  • Animals
  • Diabetes Mellitus, Type 1 / immunology
  • Diabetes Mellitus, Type 1 / metabolism*
  • Epitopes, T-Lymphocyte / immunology
  • H-2 Antigens / immunology
  • H-2 Antigens / metabolism*
  • Haplotypes
  • Mice
  • Mice, Inbred NOD / immunology
  • Mice, Inbred NOD / metabolism*
  • Models, Immunological*
  • Molecular Sequence Data
  • Peptides
  • Predictive Value of Tests
  • Protein Binding
  • Software*

Substances

  • Epitopes, T-Lymphocyte
  • H-2 Antigens
  • Peptides