MN
Morten Nielsen
Technical University of Denmark, National University of General San Martín, McGill University, University of Copenhagen, Structural Bioinformatics AT A/S.
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · vaccines and immunoinformatics approaches · Immunotherapy and Immune Responses · Chemical Synthesis and Analysis
0000-0001-7885-4311
Employment
- 2016 - Present
-
Universidad Nacional de San Martín Profesor adjunto2012 - Present
-
Technical University of Denmark Center for Biological Sequence Analysis Associate professor2004 - 2016
-
Technical University of Denmark Center for Biological Sequence Analysis Assistance professo2002 - 2004
-
Structural Bioinformatics AT A/S. Computational Scientist1999 - 2002
-
Technical University of Denmark Research Assistant1999 - 1999
Education
-
McGill University PhD Physics1994 - 1999
-
University of Copenhagen MSc Physics1990 - 1994
-
University of Copenhagen BSc physics1986 - 1990
Projects & Funding
Projects & funding information is unavailable.
Publications (325)
- Exploring noise in TCR specificity data through supervised learning Save
- TCRdenoise - an unsupervised similarity-based approach for denoising of TCR-pMHC specificity data Save
- Label Noise Limits TCR-pMHC Specificity Prediction: Improved Performance Through AlphaFold3-Based Structural Modeling and Data Denoising Save
- NetMHCIIphosPan: A Machine Learning Tool for Predicting HLA Class II Antigen Presentation of Phosphorylated Peptides Save
- E. coli O157:H7 evades CD8+ T cell immunity through T3SS-dependent suppression and limited MHCI presentation of translocated proteins Save
- NetMHCIIphosPan: a machine learning tool for predicting HLA class II antigen presentation of phosphorylated peptides Save
- Beyond natural amino acids: extending immunogenicity risk assessment to modified peptides through chemical feature encoding. A case study on citrullination Save
- CEDAR: A comprehensive database of curated cancer epitopes and receptors Save
- Cancer epitope prediction tools & analysis pipelines in CEDAR Save
- Identifying noncanonical sources of cancer neoepitopes using PEPMatch and CEDAR Save
- Integrated computational and experimental workflow identifies a novel T-cell epitope from Babesia bovis RON5 recognized by infected cattle Save
- Pocket restraints guided by B-cell epitope prediction improve Chai-1 antibody–antigen structure modeling Save
- Review: application and opportunities for machine learning and artificial intelligence in preclinical immunogenicity risk assessment Save
- The Cancer Epitope Database and Analysis Resource (CEDAR): current capabilities and future directions Save
- ITRAP2, a flexible and robust strategy to assign antigen recognition of T-cells in coupled single-cell TCR-pMHC assay Save
- Molecular characterization of the archaic HLA-B∗73:01 allele reveals presentation of a unique peptidome and skewed engagement by KIR2DL2 Save
- On the impact of local protein structure features on prediction of major histocompatibility complex class I and II antigen presentation Save
- AbEpiTope-1.0: Improved antibody target prediction by use of AlphaFold and inverse folding Save
- TCRCluster: a novel approach to T-cell receptor latent featurization and clustering using contrastive learning-guided two-stage variational autoencoders Save
- NetTCR-struc, a structure driven approach for prediction of TCR-pMHC interactions Save