Sensitive quantitative predictions of peptide-MHC binding by a ‘Query by Committee’ artificial neural network approach-Reference-Cited by-同舟云学术

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Sensitive quantitative predictions of peptide-MHC binding by a ‘Query by Committee’ artificial neural network approach

Published:2003-10-13 Issue:5 Volume:62 Page:378-384
ISSN:0001-2815
Container-title:Tissue Antigens
language:en
Short-container-title:

Author:

Buus S.,Lauemøller S.L.,Worning P.,Kesmir C.,Frimurer T.,Corbet S.,Fomsgaard A.,Hilden J.,Holm A.,Brunak S.

Publisher

Wiley

Subject

Genetics,Biochemistry,Immunology,General Medicine,Immunology and Allergy

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1034/j.1399-0039.2003.00112.x/fullpdf

Reference38 articles.

1. Identifying cytotoxic T cell epitopes from genomic and proteomic information: ‘‘The human MHC project’’;Lauemoller;Rev Immunogenetics,2001

2. Degradation of cell proteins and the generation of MHC class I-presented peptides;Rock;Annu Rev Immunol,1999

3. Immunodominance in MHC class I restricted T lymphocyte responses;Yewdell;Annu Rev Immunol,1999

4. Structural characteristics of an antigen required for its interaction with Ia and recognition by T cells;Sette;Nature,1987

5. Allele-specific motifs revealed by sequencing of self-peptides eluted from MHC molecules;Falk;Nature,1991

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