Hidden Markov model-based approach as the first screening of binding peptides that interact with MHC class II molecules

[1]  J. Bodmer,et al.  Sequences related to HLA-DR alpha chain on human chromosome 6: restriction enzyme polymorphism detected with DC alpha chain probes. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Lawrence R. Rabiner,et al.  A tutorial on Hidden Markov Models , 1986 .

[3]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[4]  J. H. Brown.  A hypothetical model of the foreign antigen binding site of Class II histocompatibility molecules , 1988, Nature.

[5]  J. Picone,et al.  Continuous speech recognition using hidden Markov models , 1990, IEEE ASSP Magazine.

[6]  A. Rudensky,et al.  Sequence analysis of peptides bound to MHC class II molecules , 1991, Nature.

[7]  O. Rötzschke,et al.  Consensus motifs and peptide ligands of MHC class I molecules. , 1993, Seminars in immunology.

[8]  F. Sinigaglia,et al.  Promiscuous and allele-specific anchors in HLA-DR-binding peptides , 1993, Cell.

[9]  D. Haussler,et al.  Hidden Markov models in computational biology. Applications to protein modeling. , 1993, Journal of molecular biology.

[10]  Z. Nagy,et al.  Precise prediction of major histocompatibility complex class II-peptide interaction based on peptide side chain scanning , 1994, The Journal of experimental medicine.

[11]  D. Zaller,et al.  Prediction of peptide affinity to HLA DRB1*0401. , 1994, International archives of allergy and immunology.

[12]  Emil R. Unanue,et al.  Peptides determine the lifespan of MHC class II molecules in the antigen-presenting cell , 1994, Nature.

[13]  F. Sinigaglia,et al.  Defining rules for the peptide-MHC class II interaction. , 1994, Current opinion in immunology.

[14]  D. Madden.  The three-dimensional structure of peptide-MHC complexes. , 1995, Annual review of immunology.

[15]  Vladimir Brusic,et al.  MHCPEP, a database of MHC-binding peptides: update 1996 , 1997, Nucleic Acids Res..

[16]  V. Brusic,et al.  Neural network-based prediction of candidate T-cell epitopes , 1998, Nature Biotechnology.

[17]  P. Harris,et al.  Peptides Bound to Major Histocompatibility Complex Molecules , 1998, Peptides.

[18]  Vladimir Brusic,et al.  Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network , 1998, Bioinform..

[19]  Vladimir Brusic,et al.  MHCPEP, a database of MHC-binding peptides: update 1996 , 1997, Nucleic Acids Res..

[20]  R. R. Mallios,et al.  Class II MHC quantitative binding motifs derived from a large molecular database with a versatile iterative stepwise discriminant analysis meta- algorithm , 1999, Bioinform..

[21]  Vladimir Brusic,et al.  Data cleansing for computer models: a case study from immunology , 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

[22]  L C Harrison,et al.  Fuzzy neural network-based prediction of the motif for MHC class II binding peptides. , 2001, Journal of bioscience and bioengineering.

[23]  W. Schmidt,et al.  Vaccination with poly-L-arginine as immunostimulant for peptide vaccines: induction of potent and long-lasting T-cell responses against cancer antigens. , 2002, Cancer research.

[24]  T. Hanai,et al.  Hidden Markov model-based prediction of antigenic peptides that interact with MHC class II molecules. , 2002, Journal of bioscience and bioengineering.

[25]  V. Tuohy,et al.  A Novel Class II-Binding Motif Selects Peptides That Mediate Organ-Specific Autoimmune Disease in SWXJ, SJL/J, and SWR/J Mice1 , 2002, The Journal of Immunology.

[26]  Hans-Georg Rammensee,et al.  MHC ligands and peptide motifs: first listing , 2004, Immunogenetics.