       Document 0103
 DOCN  M9620103
 TI    Two novel T cell epitope prediction algorithms based on MHC-binding
       motifs; comparison of predicted and published epitopes from
       Mycobacterium tuberculosis and HIV protein sequences.
 DT    9602
 AU    Meister GE; Roberts CG; Berzofsky JA; De Groot AS; TB/HIV Research
       Laboratory, Brown University, Providence, RI; 02912, USA.
 SO    Vaccine. 1995 Apr;13(6):581-91. Unique Identifier : AIDSLINE
       MED/96065466
 AB    We have designed two computer-based algorithms for T cell epitope
       prediction, OptiMer and EpiMer, which incorporate current knowledge of
       MHC-binding motifs. OptiMer locates amphipathic segments of protein
       antigens with a high density of MHC-binding motifs. EpiMer identifies
       peptides with a high density of MHC-binding motifs alone. These
       algorithms exploit the striking tendency for MHC-binding motifs to
       cluster within short segments of each protein. Putative epitopes
       predicted by these algorithms contain motifs corresponding to many
       different MHC alleles, and may contain both class I and class II motifs,
       features thought to be ideal for the peptide components of synthetic
       subunit vaccines. In this study, we describe the use of OptiMer and
       EpiMer for the prediction of putative T cell epitopes from Mycobacterium
       tuberculosis and human immunodeficiency virus protein antigens, and
       demonstrate that these two algorithms may provide sensitive and
       efficient means for the prediction of promiscuous T cell epitopes that
       may be critical to the development of vaccines against these and other
       pathogens.
 DE    *Algorithms  Animal  Antigens, Bacterial/IMMUNOLOGY  Binding Sites
       Comparative Study  Epitopes/*ANALYSIS/IMMUNOLOGY  Histocompatibility
       Antigens Class I/IMMUNOLOGY/METABOLISM  Histocompatibility Antigens
       Class II/IMMUNOLOGY/METABOLISM  HIV Antigens/*IMMUNOLOGY  Major
       Histocompatibility Complex/*IMMUNOLOGY  Mice  Mycobacterium
       tuberculosis/*IMMUNOLOGY  Predictive Value of Tests  Support, U.S.
       Gov't, P.H.S.  T-Lymphocytes/*IMMUNOLOGY  JOURNAL ARTICLE

       SOURCE: National Library of Medicine.  NOTICE: This material may be
       protected by Copyright Law (Title 17, U.S.Code).

