Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Carolina Barra Quaglia is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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The interdependence of machine learning and LC-MS approaches for an unbiased understanding of the cellular immunopeptidome
Nielsen, M., Ternette, N. & Barra, C., 2022, (Accepted/In press) In: Expert Review of Proteomics. 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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DRB4 immunopeptidome: Proof for complementary antigen presentation and the DRB4*01:03N function
Kaabinejadian, S., Osborn, S., Buchli, R., Hildebrand, W., Quaglia, C., Nielsen, M., Yari, H. & Cate, S., 2021, In: Human Immunology. 82, S, p. 9-9 03.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Improved prediction of HLA antigen presentation hotspots: applications for immunogenicity risk assessment of therapeutic proteins
Attermann, A. S., Barra, C., Reynisson, B., Schultz, H. S., Leurs, U., Lamberth, K. & Nielsen, M., 2021, In: Immunology. 162, 2, p. 208-219Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile58 Downloads (Pure) -
NetMHCphosPan: Pan-specific prediction of MHC class I antigen presentation of phosphorylated ligands
Refsgaard, C. T., Barra, C., Peng, X., Ternette, N. & Nielsen, M., 2021, In: Immunoinformatics. 1-2, 8 p., 100005.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile19 Downloads (Pure) -
Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction
Barra, C., Ackaert, C., Reynisson, B., Schockaert, J., Jessen, L. E., Watson, M., Jang, A., Comtois-Marotte, S., Goulet, J-P., Pattijn, S., Paramithiotis, E. & Nielsen, M., 2020, In: Frontiers in Immunology. 11, 13 p., 1304.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile69 Downloads (Pure)
Projects
- 2 Active
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Cancer T cell immunoinformatics
Wan, Y. R., Nielsen, M. & Barra Quaglia, C.
01/05/2022 → 30/04/2025
Project: PhD
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Accurate classification of allergenic responses using machine learning algorithms
Li, Y., Nielsen, M. & Barra Quaglia, C.
01/12/2021 → 30/11/2024
Project: PhD