Barra CM - Search Results

1

An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes.

Bjerregaard AM, Nielsen M, Jurtz V, Barra CM, Hadrup SR, Szallasi Z, Eklund AC. Bjerregaard AM, et al. Among authors: barra cm. Front Immunol. 2017 Nov 15;8:1566. doi: 10.3389/fimmu.2017.01566. eCollection 2017. Front Immunol. 2017. PMID: 29187854 Free PMC article.

2

Computational Tools for the Identification and Interpretation of Sequence Motifs in Immunopeptidomes.

Alvarez B, Barra C, Nielsen M, Andreatta M. Alvarez B, et al. Proteomics. 2018 Jun;18(12):e1700252. doi: 10.1002/pmic.201700252. Epub 2018 Feb 26. Proteomics. 2018. PMID: 29327813 Free PMC article. Review.

3

Corrigendum: An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes.

Bjerregaard AM, Nielsen M, Jurtz V, Barra CM, Hadrup SR, Szallasi Z, Eklund AC. Bjerregaard AM, et al. Among authors: barra cm. Front Immunol. 2018 May 14;9:1007. doi: 10.3389/fimmu.2018.01007. eCollection 2018. Front Immunol. 2018. PMID: 29795801 Free PMC article.

4

Footprints of antigen processing boost MHC class II natural ligand predictions.

Barra C, Alvarez B, Paul S, Sette A, Peters B, Andreatta M, Buus S, Nielsen M. Barra C, et al. Genome Med. 2018 Nov 16;10(1):84. doi: 10.1186/s13073-018-0594-6. Genome Med. 2018. PMID: 30446001 Free PMC article.

5

NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope Predictions.

Alvarez B, Reynisson B, Barra C, Buus S, Ternette N, Connelley T, Andreatta M, Nielsen M. Alvarez B, et al. Mol Cell Proteomics. 2019 Dec;18(12):2459-2477. doi: 10.1074/mcp.TIR119.001658. Epub 2019 Oct 2. Mol Cell Proteomics. 2019. PMID: 31578220 Free PMC article.

6

Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data.

Reynisson B, Barra C, Kaabinejadian S, Hildebrand WH, Peters B, Nielsen M. Reynisson B, et al. J Proteome Res. 2020 Jun 5;19(6):2304-2315. doi: 10.1021/acs.jproteome.9b00874. Epub 2020 Apr 30. J Proteome Res. 2020. PMID: 32308001

7

Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction.

Barra C, Ackaert C, Reynisson B, Schockaert J, Jessen LE, Watson M, Jang A, Comtois-Marotte S, Goulet JP, Pattijn S, Paramithiotis E, Nielsen M. Barra C, et al. Front Immunol. 2020 Jun 23;11:1304. doi: 10.3389/fimmu.2020.01304. eCollection 2020. Front Immunol. 2020. PMID: 32655572 Free PMC article.

8

Improved prediction of HLA antigen presentation hotspots: Applications for immunogenicity risk assessment of therapeutic proteins.

Attermann AS, Barra C, Reynisson B, Schultz HS, Leurs U, Lamberth K, Nielsen M. Attermann AS, et al. Immunology. 2021 Feb;162(2):208-219. doi: 10.1111/imm.13274. Epub 2020 Oct 19. Immunology. 2021. PMID: 33010039 Free PMC article.

9

Accurate MHC Motif Deconvolution of Immunopeptidomics Data Reveals a Significant Contribution of DRB3, 4 and 5 to the Total DR Immunopeptidome.

Kaabinejadian S, Barra C, Alvarez B, Yari H, Hildebrand WH, Nielsen M. Kaabinejadian S, et al. Front Immunol. 2022 Jan 26;13:835454. doi: 10.3389/fimmu.2022.835454. eCollection 2022. Front Immunol. 2022. PMID: 35154160 Free PMC article.

10

The interdependence of machine learning and LC-MS approaches for an unbiased understanding of the cellular immunopeptidome.

Nielsen M, Ternette N, Barra C. Nielsen M, et al. Expert Rev Proteomics. 2022 Feb;19(2):77-88. doi: 10.1080/14789450.2022.2064278. Epub 2022 Apr 21. Expert Rev Proteomics. 2022. PMID: 35390265

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