NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets-Reference-Cited by-同舟云学术

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NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

Published:2016-03-30 Issue:1 Volume:8 Page:
ISSN:1756-994X
Container-title:Genome Medicine
language:en
Short-container-title:Genome Med

Author:

Nielsen Morten,Andreatta Massimo

Funder

National Institute of Allergy and Infectious Diseases

Fondo para la Investigación Científica y Tecnológica

Publisher

Springer Science and Business Media LLC

Subject

Genetics(clinical),Genetics,Molecular Biology,Molecular Medicine

Link

http://link.springer.com/content/pdf/10.1186/s13073-016-0288-x.pdf

Reference31 articles.

1. Yewdell JW, Bennink JR. Immunodominance in major histocompatibility complex class I-restricted T lymphocyte responses. Annu Rev Immunol. 1999;17:51–88.

2. Hoof I, Peters B, Sidney J, Pedersen LE, Sette A, Lund O, et al. NetMHCpan, a method for MHC class I binding prediction beyond humans. Immunogenetics. 2009;61(1):1–13.

3. Nielsen M, Lundegaard C, Blicher T, Lamberth K, Harndahl M, Justesen S, et al. NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence. PLoS ONE. 2007;2(8), e796.

4. Robinson J, Halliwell JA, Hayhurst JD, Flicek P, Parham P, Marsh SG. The IPD and IMGT/HLA database: allele variant databases. Nucleic Acids Res. 2015;43(Database issue):D423–31.

5. Trolle T, Metushi IG, Greenbaum JA, Kim Y, Sidney J, Lund O, et al. Automated benchmarking of peptide-MHC class I binding predictions. Bioinformatics. 2015;31(13):2174–81.

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