Andreatta M - Search Results

1

NetH2pan: A Computational Tool to Guide MHC Peptide Prediction on Murine Tumors.

DeVette CI, Andreatta M, Bardet W, Cate SJ, Jurtz VI, Jackson KW, Welm AL, Nielsen M, Hildebrand WH. DeVette CI, et al. Among authors: andreatta m. Cancer Immunol Res. 2018 Jun;6(6):636-644. doi: 10.1158/2326-6066.CIR-17-0298. Epub 2018 Apr 3. Cancer Immunol Res. 2018. PMID: 29615400 Free PMC article.

2

Orthogonal cytokine engineering enables novel synthetic effector states escaping canonical exhaustion in tumor-rejecting CD8⁺ T cells.

Corria-Osorio J, Carmona SJ, Stefanidis E, Andreatta M, Ortiz-Miranda Y, Muller T, Rota IA, Crespo I, Seijo B, Castro W, Jimenez-Luna C, Scarpellino L, Ronet C, Spill A, Lanitis E, Romero P, Luther SA, Irving M, Coukos G. Corria-Osorio J, et al. Among authors: andreatta m. Nat Immunol. 2023 May;24(5):869-883. doi: 10.1038/s41590-023-01477-2. Epub 2023 Apr 20. Nat Immunol. 2023. PMID: 37081150 Free PMC article.

3

In silico prediction of human pathogenicity in the γ-proteobacteria.

Andreatta M, Nielsen M, Møller Aarestrup F, Lund O. Andreatta M, et al. PLoS One. 2010 Oct 27;5(10):e13680. doi: 10.1371/journal.pone.0013680. PLoS One. 2010. PMID: 21048922 Free PMC article.

4

NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide data.

Andreatta M, Schafer-Nielsen C, Lund O, Buus S, Nielsen M. Andreatta M, et al. PLoS One. 2011;6(11):e26781. doi: 10.1371/journal.pone.0026781. Epub 2011 Nov 2. PLoS One. 2011. PMID: 22073191 Free PMC article.

5

Characterizing the binding motifs of 11 common human HLA-DP and HLA-DQ molecules using NNAlign.

Andreatta M, Nielsen M. Andreatta M, et al. Immunology. 2012 Jul;136(3):306-11. doi: 10.1111/j.1365-2567.2012.03579.x. Immunology. 2012. PMID: 22352343 Free PMC article.

6

Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach.

Andreatta M, Lund O, Nielsen M. Andreatta M, et al. Bioinformatics. 2013 Jan 1;29(1):8-14. doi: 10.1093/bioinformatics/bts621. Epub 2012 Oct 24. Bioinformatics. 2013. PMID: 23097419

7

Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification.

Andreatta M, Karosiene E, Rasmussen M, Stryhn A, Buus S, Nielsen M. Andreatta M, et al. Immunogenetics. 2015 Nov;67(11-12):641-50. doi: 10.1007/s00251-015-0873-y. Epub 2015 Sep 29. Immunogenetics. 2015. PMID: 26416257 Free PMC article.

8

Gapped sequence alignment using artificial neural networks: application to the MHC class I system.

Andreatta M, Nielsen M. Andreatta M, et al. Bioinformatics. 2016 Feb 15;32(4):511-7. doi: 10.1093/bioinformatics/btv639. Epub 2015 Oct 29. Bioinformatics. 2016. PMID: 26515819 Free PMC article.

9

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

Nielsen M, Andreatta M. Nielsen M, et al. Among authors: andreatta m. Genome Med. 2016 Mar 30;8(1):33. doi: 10.1186/s13073-016-0288-x. Genome Med. 2016. PMID: 27029192 Free PMC article.

10

Unconventional Peptide Presentation by Major Histocompatibility Complex (MHC) Class I Allele HLA-A*02:01: BREAKING CONFINEMENT.

Remesh SG, Andreatta M, Ying G, Kaever T, Nielsen M, McMurtrey C, Hildebrand W, Peters B, Zajonc DM. Remesh SG, et al. Among authors: andreatta m. J Biol Chem. 2017 Mar 31;292(13):5262-5270. doi: 10.1074/jbc.M117.776542. Epub 2017 Feb 8. J Biol Chem. 2017. PMID: 28179428 Free PMC article.

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