Birkir Reynisson
Technical University of Denmark
16 Papers
13 Citations
Birkir Reynisson is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Major histocompatibility complex & Epitope. The author has an hindex of 5, co-authored 12 publications.
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Papers
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.
TL;DR: NetMHCpan-4.1 and NetMHCIIpan- 4.0, two web servers created to predict binding between peptides and M HC-I and MHC-II, respectively, exploit tailored machine learning strategies to integrate different training data types, resulting in state-of-the-art performance and outperforming their competitors.
Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data
Birkir Reynisson,Carolina M. Barra,Saghar Kaabinejadian,William H. Hildebrand,Bjoern Peters,Morten Nielsen +5 more
TL;DR: NAlign_MA and NetMHCIIpan-4.0 are powerful tools for analysis of immunopeptidome MS data, prediction of T cell epitopes and development of personalized immunotherapies, and improved performance beyond current state-of-the-art predictors for ligand and CD4+ Tcell epitope prediction.
NNAlign_MA; MHC Peptidome Deconvolution for Accurate MHC Binding Motif Characterization and Improved T-cell Epitope Predictions.
Bruno Alvarez,Birkir Reynisson,Carolina M. Barra,Søren Buus,Nicola Ternette,Timothy Connelley,Massimo Andreatta,Morten Nielsen +7 more
TL;DR: NNAlign_MA is a computational method designed to address this challenge and fully benefit from large, poly-specific data sets of MS-eluted MHC ligand data, effectively expanding the coverage of alleles for which accurate predictions can be made, resulting in improved identification of both eluted ligands and T-cell epitopes.
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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 M. Barra,Saghar Kaabinejadian,William H. Hildebrand,Bjoern Peters,Bjoern Peters,Morten Nielsen +6 more
TL;DR: This work integrates data from eluted MHC ligand mass spectrometry assays that inherently contains signals of the events leading to antigen presentation, and observes motifs in ligand termini consistently across MHC alleles and puts forth a strategy of targeting these motifs for MHC II agnostic de-immunization.
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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,Ivan Morrison,Søren Buus,Beatriz Rossetti Ferreira,Isabel Kinney Ferreira de Miranda Santos,Nicola Ternette,Timothy Connelley,Morten Nielsen +11 more
TL;DR: In this article, the power of an integrated approach combining advanced mass spectrometry peptidomics with immunoinformatics for characterization of the BoLA-DR Ag presentation system was demonstrated.
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