Publications by authors named "Birkir Reynisson"

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A genome-scale metabolic reconstruction provides insight into the metabolism of the thermophilic bacterium Rhodothermus marinus.
Thordis Kristjansdottir, Gudmundur O Hreggvidsson, Elisabet Eik Gudmundsdottir, Snaedis H Bjornsdottir, Olafur H Fridjonsson, Birkir Reynisson

FEMS Microbiol Ecol· January 2025

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New light on the HLA-DR immunopeptidomic landscape.
Emilie Egholm Bruun Jensen, Birkir Reynisson, Carolina Barra, Morten Nielsen

J Leukoc Biol· April 2024

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IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition.
Annie Borch, Ibel Carri, Birkir Reynisson, Heli M Garcia Alvarez, Kamilla K Munk

Front Immunol· April 2024

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Immunopeptidomic Analysis of BoLA-I and BoLA-DR Presented Peptides from Infected Cells.
Timothy Connelley, Annalisa Nicastri, Tara Sheldrake, Christina Vrettou, Andressa Fisch, Birkir Reynisson

Vaccines (Basel)· November 2022

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Going to extremes - a metagenomic journey into the dark matter of life.
Arnthór Aevarsson, Anna-Karina Kaczorowska, Björn Thor Adalsteinsson, Josefin Ahlqvist, Salam Al-Karadaghi, Birkir Reynisson

FEMS Microbiol Lett· June 2021

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Integral Use of Immunopeptidomics and Immunoinformatics for the Characterization of Antigen Presentation and Rational Identification of BoLA-DR-Presented Peptides and Epitopes.
Andressa Fisch, Birkir Reynisson, Lindert Benedictus, Annalisa Nicastri, Deepali Vasoya

J Immunol· May 2021

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Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction.
Carolina Barra, Chloe Ackaert, Birkir Reynisson, Jana Schockaert, Leon Eyrich Jessen

Front Immunol· April 2021

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Improved prediction of HLA antigen presentation hotspots: Applications for immunogenicity risk assessment of therapeutic proteins.
Anders Steenholdt Attermann, Carolina Barra, Birkir Reynisson, Heidi Schiøler Schultz, Ulrike Leurs

Immunology· February 2021

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NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data.
Birkir Reynisson, Bruno Alvarez, Sinu Paul, Bjoern Peters, Morten Nielsen

Nucleic Acids Res· July 2020

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Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data.
Birkir Reynisson, Carolina Barra, Saghar Kaabinejadian, William H Hildebrand, Bjoern Peters

J Proteome Res· June 2020

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NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope Predictions.
Bruno Alvarez, Birkir Reynisson, Carolina Barra, Søren Buus, Nicola Ternette

Mol Cell Proteomics· December 2019

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