M
Michael R. Rasmussen
Researcher at Aalborg University
Publications - 139
Citations - 2742
Michael R. Rasmussen is an academic researcher from Aalborg University. The author has contributed to research in topics: Weather radar & Radar. The author has an hindex of 24, co-authored 138 publications receiving 2370 citations. Previous affiliations of Michael R. Rasmussen include University of Copenhagen & University of Southern Denmark.
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Journal ArticleDOI
Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification
Massimo Andreatta,Edita Karosiene,Michael R. Rasmussen,Anette Stryhn,Søren Buus,Morten Nielsen +5 more
TL;DR: An updated version of the state-of-the-art NetMHCIIpan method with improved peptide binding register identification is described, which significantly outperformed the earlier 3.0 version.
Journal ArticleDOI
NetMHCIIpan-3.0, a common pan-specific MHC class II prediction method including all three human MHC class II isotypes, HLA-DR, HLA-DP and HLA-DQ
TL;DR: The NetMHCpan-3.0 method is the first pan-specific prediction method capable of predicting peptide binding to any HLA class II molecule with a defined protein sequence and demonstrates a significant improvement over molecule-specific methods as well as the ability to predict peptidebinding of previously uncharacterised MHCII molecules.
Journal ArticleDOI
Peptide-MHC class I stability is a better predictor than peptide affinity of CTL immunogenicity.
Mikkel Harndahl,Michael R. Rasmussen,Gustav Røder,Ida Dalgaard Pedersen,Mikael S. Sørensen,Morten Nielsen,Søren Buus +6 more
TL;DR: A large database containing stability measurements of pMHC‐I complexes is generated, and a bioinformatics method to predict pM HC‐I stability is developed, which suggested that 30% of the nonimmunogenic binders hitherto classified as “holes in the T‐cell repertoire” can be explained as being unstably bound to MHC‐ I.
Journal ArticleDOI
Pan-Specific Prediction of Peptide-MHC Class I Complex Stability, a Correlate of T Cell Immunogenicity.
Michael R. Rasmussen,Emilio Fenoy,Mikkel Harndahl,Anne B. Kristensen,Ida Kallehauge Nielsen,Morten Nielsen,Søren Buus +6 more
TL;DR: A neural network–based pan-specific predictor of peptide–MHC-I complex stability is developed to significantly improve the prediction of CTL epitopes and this method is publicly available at http://www.cbs.dtu.dk/services/NetMHCstabpan.
Journal ArticleDOI
Weather radar rainfall data in urban hydrology
Søren Liedtke Thorndahl,Thomas Einfalt,Patrick Willems,Jesper Ellerbæk Nielsen,Marie-Claire ten Veldhuis,Karsten Arnbjerg-Nielsen,Michael R. Rasmussen,Peter Molnar +7 more
TL;DR: In this paper, a review of the state of the art in radar rainfall data and applications is presented, focusing on three key areas with significant advances over the past decade: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applications.