References

  • Adams,HP. And Koziol, J.A.,(1995) Prediction of Binding to MHC class I molecules. J immunol. methods.185 181-190.

  • Brusic,V., Rudy,G. and Harrison, LC. (1994) Prediction of MHC binding peptides using artificial neural networks Complex system: Mechanism of Adaptation IOS Press/ohmsha 253-260.

  • Craiu,A., Akopian,T., Goldberg,A., and Rock,K.L. (1997) Two distinct proteolytic processes in the generation of a major histocompatibility complex class I-presented peptide. Proc. Natl. Acad. Sci. USA. 94, 10850-55.

  • Hagmann,M. (2000) Computers aid vaccine design. Science, 290, 80-2

  • Kobayashi, H., Wood, M., Song, Y., Appella, E. and Celis, E. (2000) Defining promiscuous MHC class II helper T-cell epitopes for the HER2/neu tumor antigen. Cancer Res. 60, 5228-36.

  • Parker,K.C., Bednarek,M.A. and Coligan,J.E. (1994). Scheme for ranking potential HLA-A2 binding peptides based on independent binding of individual peptide side-chains. J Immunol., 152, 163-75.

  • Rammensee,H.G, Bachmann,J., Emmerich,N.P., Bachor,O.A. and Stevanovic,S. (1999). SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics, 50, 213-9.

  • Ruppert,J., Sidney,J., Celis,E., Kubo,R.T., Grey,H.M. and Sette,A. (1993) Prominent role of secondary anchor residues in peptide binding to HLA-A2.1 molecules. Cell. 74, 929-937.

  • Schirle,M., Weinschenk,T. and Stevanovic, S. (2001) Combining computer algorithms with experimental approaches permits the rapid and accurate identification of T cell epitopes from defined antigens. J. Immunol. Methods. , 257, 1-16, Review.

  • Schueler-Furman, O., Altuvia, Y., Sette, A. and Margalit, H. (2000) Structure-based prediction of binding peptides to MHC class I molecules:application to a broad range of MHC alleles. Protein Sci. 9,1838-46.

  • Sidney,J., Southwood,S., Guercio,M.D., Grey,H.M., Chesnut,R.W., Kubo,R.T. and Sette,A. (1996) Specificity and degeneracy in peptide binding to HLA-B7 like class 1 molecules. J. Immunol. 157, 3480-3490.

  • Singh,H. and Raghava,G.P.S. (2001) ProPred: prediction of HLA-DR binding sites. Bioinformatics,. 17, 1236-1237.

  • Singh,H. and Raghava,G.P.S. (2002) ProPred1: Prediction of Promiscuous MHC Class-I binding sites Bioinformatics. (submitted).

  • Sinigaglia, F., and Hammer, J. (1994) Defining rules for the peptide-MHC class II interaction Curr Opin Immunol .6, 52-56. Review

  • Sturniolo,T., Bono,E., Ding,J., Raddrizzani,L., Tuereci,O., Sahin,U., Braxenthaler,M., Gallazzi,F., Protti,M.P., Sinigaglia,F. and Hammer,J. (1999) Generation of tissue-specific and promiscuous HLA ligand database using DNA microarrays and virtual HLA class II matrices. Nat. Biotech. ., 17, 555-561.

  • Van den Eynde, B.J. and van der Bruggen, P. (1997) T cell defined tumor antigens. Curr Opin Immunol. . 9 , 684-93. Review.