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

Menaka Rajapakse, Guang Lan Zhang, Kellathur N. Srinivasan, Bertil Schmidt, Nikolai Petrovsky, Vladimir Brusic

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)645-650
Number of pages6
JournalAutoimmunity
Volume39
Issue number8
DOIs
Publication statusPublished - Dec 1 2006

Keywords

  • Autoimmune diabetes
  • I-A haplotype
  • NOD
  • Type 1 diabetes

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology

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