The immune epitope database and analysis resource

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4146 LNBI, Issue , 2006, Pages 126-132

  Sette, A ^a   Bui, H H ^a   Sidney, J ^a   Bourne, P ^b   Buus, S ^c   Fleri, W ^a   Kubo, R ^a,d   Lund, O ^e   Nemazee, D ^f   Ponomarenko, J V ^b   Sathiamurthy, M ^a   Stewart, S ^a   Way, S ^a   Wilson, S S ^a   Peters, B ^a  

^a LA JOLLA INSTITUTE FOR ALLERGY AND IMMUNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

^d Gemini Science   (United States)

^e TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^f SCRIPPS RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODIES; IMMUNOLOGY; MICROBIOLOGY; MOLECULAR STRUCTURE; RESOURCE ALLOCATION;

AUTOIMMUNE DISEASES; CELL RECEPTORS; EPITOPES; INFECTIOUS DISEASES;

DATABASE SYSTEMS;

EID: 33750040293     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11818564_14     Document Type: Conference Paper

References (14)

1. Peters B, Sidney J, Bourne P, Bui HH, Buus S, Doh G, Fieri W, Kronenberg M, Kubo R, Lund O et al. The design and implementation of the immune epitope database and analysis resource. Immunogenetics 2005.
2. Peters B, Sidney J, Bourne P, Bui HH, Buus S, Doh G, Fieri W, Kronenberg M, Kubo R, Lund O et al. The immune epitope database and analysis resource: from vision to blueprint. PLoS Biol 2005, 3(3):e91.
3. Sette A, Fleri W, Peters B, Sathiamurthy M, Bui HH, Wilson S: A roadmap for the immunomics of category A-C pathogens. Immunity 2005, 22(2):155-161.
4. Sathiamurthy M, Peters B, Bui HH, Sidney J, Mokili J, Wilson SS, Fleri W, McGuinness DL, Bourne PE, Sette A. An ontology for immune epitopes: application to the design of a broad scope database of immune reactivities. Immunome Res. 2005 Sep 20;1(1):2.
5. Bui HH, Sidney J, Dinh K, Southwood S, Newman MJ, et al. (2006) Predicting population coverage of T-cell epitope-based diagnostics and vaccines. BMC Bioinformatics 7: 153.
6. Blythe MJ, Flower DR (2005) Benchmarking B cell epitope prediction: underperformance of existing methods. Protein Sci 14: 246-248.
7. Bui HH, Sidney J, Peters B, Sathiamurthy M, Sinichi A, et al. (2005) Automated generation and evaluation of specific MHC binding predictive tools: ARB matrix applications. Immunogenetics 57: 304-314.
8. Peters B, Sette A (2005) Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method. BMC Bioinformatics 6: 132.
9. Buus S, Lauemoller SL, Worning P, Kesmir C, Frimurer T, et al. (2003) Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach. Tissue Antigens 62: 378-384.
10. Nielsen M, Lundegaard C, Worning P, Lauemoller SL, Lamberth K, et al. (2003) Reliable prediction of T-cell epitopes using neural networks with novel sequence representations. Protein Sci 12: 1007-1017.
11. Peters B, Bui HH, Frankild S, Nielsen M, Lundegaard C, Kostem E, Basch D, Lamberth K, Harndahl M, Fleri W, Wilson S, Sidney J, Lund O, Buus S and Sette A. (2006) A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules. PLoS Comp Bio, in press.
12. Tenzer S, Peters B, Bulik S, Schoor O, Lemmel C, et al. (2005) Modeling the MHC class I pathway by combining predictions of proteasomal cleavage,TAP transport and MHC class I binding. Cell Mol Life Sci 62: 1025-1037.
13. Peters B, Bulik S, Tampe R, Van Endert PM, Holzhutter HG (2003) Identifying MHC class I epitopes by predicting the TAP transport efficiency of epitope precursors. J Immunol: 171: 1741-1749.
14. Dreams of flu data. Nature 440, 255-6 (2006)