Immunoinformatics Comes of Age
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[1] J. Sidney,et al. Nine major HLA class I supertypes account for the vast preponderance of HLA-A and -B polymorphism , 1999, Immunogenetics.
[2] P. Kloetzel,et al. A kinetic model of vertebrate 20S proteasome accounting for the generation of major proteolytic fragments from oligomeric peptide substrates. , 2000, Biophysical journal.
[3] R. Siliciano,et al. Characterization of a conserved T cell epitope in HIV-1 gp41 recognized by vaccine-induced human cytolytic T cells. , 1991, Journal of immunology.
[4] Feng Gao,et al. Diversity Considerations in HIV-1 Vaccine Selection , 2002, Science.
[5] P. Kloetzel,et al. Modeling the MHC class I pathway by combining predictions of proteasomal cleavage,TAP transport and MHC class I binding , 2005, Cellular and Molecular Life Sciences CMLS.
[6] R. Tampé,et al. Function of the transport complex TAP in cellular immune recognition. , 1999, Biochimica et biophysica acta.
[7] Andrew C. R. Martin,et al. SACS-Self-maintaining database of antibody crystal structure information , 2002, Bioinform..
[8] O. Lund,et al. novel sequence representations Reliable prediction of T-cell epitopes using neural networks with , 2003 .
[9] Yanli Wang,et al. MMDB: Entrez's 3D-structure database , 2003, Nucleic Acids Res..
[10] A Sette,et al. Two complementary methods for predicting peptides binding major histocompatibility complex molecules. , 1997, Journal of molecular biology.
[11] Irini A. Doytchinova,et al. JenPep: A Novel Computational Information Resource for Immunobiology and Vaccinology , 2003, J. Chem. Inf. Comput. Sci..
[12] Alessandro Sette,et al. Selection, Transmission, and Reversion of an Antigen-Processing Cytotoxic T-Lymphocyte Escape Mutation in Human Immunodeficiency Virus Type 1 Infection , 2004, Journal of Virology.
[13] Bjoern Peters,et al. Automated generation and evaluation of specific MHC binding predictive tools: ARB matrix applications , 2005, Immunogenetics.
[14] H. Margalit,et al. Sequence signals for generation of antigenic peptides by the proteasome: implications for proteasomal cleavage mechanism. , 2000, Journal of molecular biology.
[15] Bette T. Korber,et al. Antigenicity and Immunogenicity of a Synthetic Human Immunodeficiency Virus Type 1 Group M Consensus Envelope Glycoprotein , 2005, Journal of Virology.
[16] Sophie Palmer,et al. Genetic Analysis of Completely Sequenced Disease-Associated MHC Haplotypes Identifies Shuffling of Segments in Recent Human History , 2006, PLoS genetics.
[17] Kun Yu,et al. Methods for Prediction of Peptide Binding to MHC Molecules: A Comparative Study , 2002, Molecular medicine.
[18] O. Schueler‐Furman,et al. Structure‐based prediction of binding peptides to MHC class I molecules: Application to a broad range of MHC alleles , 2000, Protein science : a publication of the Protein Society.
[19] A. McMichael,et al. Development of a DNA-MVA/HIVA vaccine for Kenya. , 2002, Vaccine.
[20] Robyn L Stanfield,et al. How TCRs bind MHCs, peptides, and coreceptors. , 2006, Annual review of immunology.
[21] Vladimir Brusic,et al. MHCPEP, a database of MHC-binding peptides: update 1996 , 1997, Nucleic Acids Res..
[22] D. Flower,et al. Benchmarking B cell epitope prediction: Underperformance of existing methods , 2005, Protein science : a publication of the Protein Society.
[23] Pingping Guan,et al. MHCPred: bringing a quantitative dimension to the online prediction of MHC binding. , 2003, Applied bioinformatics.
[24] A Sette,et al. A structure-based algorithm to predict potential binding peptides to MHC molecules with hydrophobic binding pockets. , 1997, Human immunology.
[25] P. Cresswell,et al. Mechanisms of MHC class I--restricted antigen processing. , 1998, Annual review of immunology.
[26] Anne S De Groot,et al. HIV vaccine development by computer assisted design: the GAIA vaccine. , 2005, Vaccine.
[27] R. Hodges,et al. New hydrophilicity scale derived from high-performance liquid chromatography peptide retention data: correlation of predicted surface residues with antigenicity and X-ray-derived accessible sites. , 1986, Biochemistry.
[28] D. Fremont,et al. Functional Evidence That Conserved TCR CDRα3 Loop Docking Governs the Cross-Recognition of Closely Related Peptide:Class I Complexes1 , 2001, The Journal of Immunology.
[29] Michael A. Gonzalez,et al. From genome to vaccine: in silico predictions, ex vivo verification. , 2001, Vaccine.
[30] Judy Lieberman,et al. Mapping cross-clade HIV-1 vaccine epitopes using a bioinformatics approach. , 2003, Vaccine.
[31] Hans-Georg Rammensee,et al. MHC Ligands and Peptide Motifs , 1998, Molecular Biology Intelligence Unit.
[32] Manoj Bhasin,et al. Prediction of promiscuous and high-affinity mutated MHC binders. , 2003, Hybridoma and hybridomics.
[33] O. Lund,et al. Definition of supertypes for HLA molecules using clustering of specificity matrices , 2004, Immunogenetics.
[34] P. Y. Chou,et al. Prediction of the secondary structure of proteins from their amino acid sequence. , 2006 .
[35] Philip J. R. Goulder,et al. PeptGen: Designing Peptides for Immunological Studies and Application to HIV Consensus Sequences , 2000 .
[36] P. Karplus,et al. Prediction of chain flexibility in proteins , 1985, Naturwissenschaften.
[37] Karina Yusim,et al. Los Alamos Hepatitis C Immunology Database , 2005, Applied bioinformatics.
[38] S Forbes,et al. The MHC haplotype project: a resource for HLA-linked association studies. , 2002, Tissue antigens.
[39] Peter Parham,et al. The HLA FactsBook , 1999 .
[40] Bette Korber,et al. Dominant influence of HLA-B in mediating the potential co-evolution of HIV and HLA , 2004, Nature.
[41] Bjoern Peters,et al. Identifying MHC Class I Epitopes by Predicting the TAP Transport Efficiency of Epitope Precursors , 2003, The Journal of Immunology.
[42] Steve Wilson,et al. The Immune Epitope Database and Analysis Resource: From Vision to Blueprint , 2005, PLoS biology.
[43] E. Emini,et al. Induction of hepatitis A virus-neutralizing antibody by a virus-specific synthetic peptide , 1985, Journal of virology.
[44] R. Siliciano,et al. An epitope-selective, transporter associated with antigen presentation (TAP)-1/2-independent pathway and a more general TAP-1/2-dependent antigen-processing pathway allow recognition of the HIV-1 envelope glycoprotein by CD8+ CTL. , 1995, Journal of Immunology.
[45] Vladimir Brusic,et al. MHCPEP, a database of MHC-binding peptides: update 1996 , 1997, Nucleic Acids Res..
[46] S Buus,et al. Description and prediction of peptide-MHC binding: the 'human MHC project'. , 1999, Current opinion in immunology.
[47] James Theiler,et al. Polyvalent vaccines for optimal coverage of potential T-cell epitopes in global HIV-1 variants , 2007, Nature Medicine.
[48] S Brunak,et al. Quantitative predictions of peptide binding to MHC class I molecules using specificity matrices and anchor-stratified calibrations. , 2001, Tissue antigens.
[49] Vladimir Brusic,et al. Computational methods for prediction of T-cell epitopes--a framework for modelling, testing, and applications. , 2004, Methods.
[50] Søren Brunak,et al. Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach , 2004, Bioinform..
[51] Andrew C. R. Martin,et al. Accessing the Kabat antibody sequence database by computer , 1996, Proteins.
[52] K. Parker,et al. Scheme for ranking potential HLA-A2 binding peptides based on independent binding of individual peptide side-chains. , 1994, Journal of immunology.
[53] Hans Hengartner,et al. Cytotoxicity mediated by T cells and natural killer cells is greatly impaired in perforin-deficient mice , 1994, Nature.
[54] P. Tongaonkar,et al. A semi‐empirical method for prediction of antigenic determinants on protein antigens , 1990, FEBS letters.
[55] H. Rammensee,et al. SYFPEITHI: database for MHC ligands and peptide motifs , 1999, Immunogenetics.
[56] S. Brunak,et al. Prediction of proteasome cleavage motifs by neural networks. , 2002, Protein engineering.
[57] H. Grey,et al. Prediction of major histocompatibility complex binding regions of protein antigens by sequence pattern analysis. , 1989, Proceedings of the National Academy of Sciences of the United States of America.
[58] Gajendra P. S. Raghava,et al. ProPred1: Prediction of Promiscuous MHC Class-I Binding Sites , 2003, Bioinform..
[59] D. Nickle,et al. Human Immunodeficiency Virus Type 1 Subtype B Ancestral Envelope Protein Is Functional and Elicits Neutralizing Antibodies in Rabbits Similar to Those Elicited by a Circulating Subtype B Envelope , 2005, Journal of Virology.
[60] A. Oxenius,et al. Immediate Cytotoxicity But Not Degranulation Distinguishes Effector and Memory Subsets of CD8+ T Cells , 2004, The Journal of experimental medicine.
[61] L. Eckmann. Sensor molecules in intestinal innate immunity against bacterial infections , 2005, Current opinion in gastroenterology.
[62] K Eichmann,et al. The specificity of proteasomes: impact on MHC class I processing and presentation of antigens , 1999, Immunological reviews.
[63] Jonathan W. Yewdell,et al. Immune recognition of a human renal cancer antigen through post-translational protein splicing , 2004, Nature.
[64] James Robinson,et al. IMGT/HLA and IMGT/MHC: sequence databases for the study of the major histocompatibility complex , 2003, Nucleic Acids Res..
[65] Soung Hie Kim,et al. An Artificial Neural Network Approach , 1993 .
[66] Manoj Bhasin,et al. Analysis and prediction of affinity of TAP binding peptides using cascade SVM , 2004, Protein science : a publication of the Protein Society.
[67] R. Corrêa-Oliveira,et al. Identification of immunodominant epitopes of Schistosoma mansoni vaccine candidate antigens using human T cells. , 2004, Memorias do Instituto Oswaldo Cruz.
[68] J. Skolnick,et al. Application of an artificial neural network to predict specific class I MHC binding peptide sequences , 1998, Nature Biotechnology.
[69] Christina Kuttler. An Algorithm for the Prediction of Proteasomal Cleavages , 2000, German Conference on Bioinformatics.
[70] V Brusic,et al. Relationship between peptide selectivities of human transporters associated with antigen processing and HLA class I molecules. , 1998, Journal of immunology.
[71] Gajendra P. S. Raghava,et al. MHCBN: a comprehensive database of MHC binding and non-binding peptides , 2003, Bioinform..
[72] A. Goldberg,et al. Distinct proteolytic processes generate the C and N termini of MHC class I-binding peptides. , 1999, Journal of immunology.
[73] J. Berzofsky,et al. The importance of pairwise interactions between peptide residues in the delineation of TCR specificity. , 1998, Journal of immunology.
[74] A. Goldberg,et al. Two distinct proteolytic processes in the generation of a major histocompatibility complex class I-presented peptide. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[75] John B. Anderson,et al. MMDB: Entrez's 3D-structure database , 2002, Nucleic Acids Res..
[76] Vladimir Brusic,et al. Large‐scale computational identification of HIV T‐cell epitopes , 2002, Immunology and cell biology.
[77] Marie-Paule Lefranc,et al. IMGT-ONTOLOGY and IMGT databases, tools and Web resources for immunogenetics and immunoinformatics. , 2004, Molecular immunology.
[78] Pingping Guan,et al. MHCPred: a server for quantitative prediction of peptide-MHC binding , 2003, Nucleic Acids Res..
[79] Andrew Brooks,et al. Peptide binding to MHC class I molecules: Implications for antigenic peptide prediction , 1995, Immunologic research.
[80] Alessandro Sette,et al. Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method , 2005, BMC Bioinformatics.
[81] O. Lund,et al. The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage , 2005, Immunogenetics.
[82] S. H. van der Burg,et al. Identification of peptide sequences that potentially trigger HLA‐A2.1‐restricted cytotoxic T lymphocytes , 1993, European journal of immunology.
[83] P. Kloetzel,et al. A theoretical approach towards the identification of cleavage-determining amino acid motifs of the 20 S proteasome. , 1999, Journal of molecular biology.
[84] Gajendra P. S. Raghava,et al. Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences , 2005, Nucleic Acids Res..
[85] S Brunak,et al. Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach. , 2003, Tissue antigens.
[86] Gajendra P. S. Raghava,et al. ProPred: prediction of HLA-DR binding sites , 2001, Bioinform..
[87] Garrett M. Morris,et al. Crystal Structure of a Neutralizing Human IgG Against HIV-1: A Template for Vaccine Design , 2001, Science.
[88] P. A. Peterson,et al. Emerging principles for the recognition of peptide antigens by MHC class I molecules. , 1992, Science.
[89] P. Kloetzel,et al. MAPPP: MHC class I antigenic peptide processing prediction. , 2003, Applied bioinformatics.
[90] H. Sebastian Seung,et al. Query by committee , 1992, COLT '92.
[91] Gajendra P.S. Raghava,et al. Prediction of CTL epitopes using QM, SVM and ANN techniques. , 2004, Vaccine.
[92] Morten Nielsen,et al. Web-based Tools for Vaccine Design , 2002 .
[93] Peter Parham,et al. Part 5 – HLA-F , 2000 .
[94] Nicole Frahma,et al. HIV Molecular Immunology 2005 , 2006 .
[95] E Y Jones,et al. MHC superfamily structure and the immune system. , 1999, Current opinion in structural biology.
[96] M. Bhasin,et al. Bcipep: A database of B-cell epitopes , 2005, BMC Genomics.