K. K. Jensen

发表

NetTCR: sequence-based prediction of TCR binding to peptide-MHC complexes using convolutional neural networks

M. Nielsen, Bjoern Peters, M. C. Jespersen, 2018, bioRxiv.

Improved methods for predicting peptide binding affinity to MHC class II molecules

J. Greenbaum, M. Nielsen, Bjoern Peters, 2018, Immunology.

Genome-wide association and HLA fine mapping studies identify risk loci and genetic 1 pathways of allergic rhinitis

Manuel A. R. Ferreira, M. Jarvelin, C. Gieger, 2018 .

Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis

Christian Gieger, David Torrents, Kari Stefansson, 2018, Nature Genetics.

NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning

Ole Winther, Morten Nielsen, Michael Schantz Klausen, 2019, Proteins.

TCRpMHCmodels: Structural modelling of TCR-pMHC class I complexes

Bjoern Peters, Martin Closter Jespersen, Paolo Marcatili, 2019, Scientific Reports.

T cell receptor fingerprinting enables in-depth characterization of the interactions governing recognition of peptide–MHC complexes

Morten Nielsen, Paolo Marcatili, Sine R Hadrup, 2018, Nature Biotechnology.

Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis

M. Jarvelin, C. Gieger, D. Strachan, 2018, Nature Genetics.

Benchmark datasets of immune receptor-epitope structural complexes

M. Nielsen, Bjoern Peters, A. Sette, 2019, BMC Bioinform..

Automated Clustering Analysis of Immunoglobulin Sequences in Chronic Lymphocytic Leukemia Based on 3D Structural Descriptors

Dimitrios Tzovaras, Panagiotis Moschonas, Paolo Marcatili, 2016 .