Vanessa Jurtz
Novo Nordisk (Denmark)(DK)Novo Nordisk (United States)(US)
Publications by Year
Research Areas
vaccines and immunoinformatics approaches, Monoclonal and Polyclonal Antibodies Research, Genomics and Phylogenetic Studies, Immunotherapy and Immune Responses, Computational Drug Discovery Methods
Most-Cited Works
- → NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data(2017)1,495 cited
- → NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning(2019)602 cited
- → IEDB-AR: immune epitope database—analysis resource in 2019(2019)424 cited
- → NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data(2021)246 cited
- → HostPhinder: A Phage Host Prediction Tool(2016)164 cited
- → An introduction to deep learning on biological sequence data: examples and solutions(2017)164 cited
- → A Bacterial Analysis Platform: An Integrated System for Analysing Bacterial Whole Genome Sequencing Data for Clinical Diagnostics and Surveillance(2016)156 cited
- → NetTCR: sequence-based prediction of TCR binding to peptide-MHC complexes using convolutional neural networks(2018)128 cited
- → An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes(2017)124 cited
- → MetaPhinder—Identifying Bacteriophage Sequences in Metagenomic Data Sets(2016)85 cited