Carolina Barra

Technical University of Denmark

Denmark

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Professors in Immunology

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Articles (14)

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2025

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2020

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2020

Collaborators (9)

Loren Gragert

Assistant Professor

Tulane University School of Medicine

UNITED STATES

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Persephone Borrow

University of Oxford

UNITED KINGDOM

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Sine Reker Hadrup

Technical University of Denmark

DENMARK

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Ibel Carri

La Jolla Institute for Immunology

UNITED STATES

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Astrid Brix Saksager

Technical University of Denmark

DENMARK

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Frederik Otzen Bagger

Head of Bioinformatics

Rigshospitalet

DENMARK

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Inge Marie Svane

Københavns Universitet

DENMARK

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Leon Eyrich Jessen

Technical University of Denmark

DENMARK

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Morten Nielsen

Professor

Technical University of Denmark

DENMARK

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Carolina Barra

Research Interests

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Articles (14)

Autoimmune associated HLAs and T cell autoantigens exhibit common patterns across several autoimmune diseases

IMPROVE

MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer

New light on the HLA-DR immunopeptidomic landscape

Machine learning reveals limited contribution of trans-only encoded variants to the HLA-DQ immunopeptidome

Neoepitope load, T cell signatures and PD-L2 as combined biomarker strategy for response to checkpoint inhibition immunotherapy.

NetAllergen, a random forest model integrating MHC-II presentation propensity for improved allergenicity prediction

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

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

NetMHCphosPan - Pan-specific prediction of MHC class I antigen presentation of phosphorylated ligands

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

European Immunogenicity Platform 11th Open Scientific Symposium on immunogenicity of biopharmaceuticals.

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

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

Collaborators (9)

Loren Gragert

Persephone Borrow

Sine Reker Hadrup

Ibel Carri

Astrid Brix Saksager

Frederik Otzen Bagger

Inge Marie Svane

Leon Eyrich Jessen

Morten Nielsen

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