| SignalP 6.0 predicts all five types of signal peptides using protein language models F Teufel, JJ Almagro Armenteros, AR Johansen, MH Gíslason, SI Pihl, ... Nature biotechnology 40 (7), 1023-1025, 2022 | 1740 | 2022 |
| Impact of pulsed electric field (PEF) pretreatment on process performance of industrial French fries production T Fauster, D Schlossnikl, F Rath, R Ostermeier, F Teufel, S Toepfl, ... Journal of Food Engineering 235, 16-22, 2018 | 140 | 2018 |
| BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks FI Marin, F Teufel, M Horlacher, D Madsen, D Pultz, O Winther, ... The Twelfth International Conference on Learning Representations, 2024 | 36 | 2024 |
| Combining mass spectrometry and machine learning to discover bioactive peptides CT Madsen, JC Refsgaard, FG Teufel, SK Kjærulff, Z Wang, G Meng, ... Nature communications 13 (1), 6235, 2022 | 28 | 2022 |
| GraphPart: homology partitioning for biological sequence analysis F Teufel, MH Gíslason, JJ Almagro Armenteros, AR Johansen, O Winther, ... NAR genomics and bioinformatics 5 (4), lqad088, 2023 | 20 | 2023 |
| DeepLoc 2.1: multi-label membrane protein type prediction using protein language models MT Ødum, F Teufel, V Thumuluri, JJ Almagro Armenteros, AR Johansen, ... Nucleic Acids Research 52 (W1), W215-W220, 2024 | 17 | 2024 |
| Deorphanizing peptides using structure prediction F Teufel, JC Refsgaard, MA Kasimova, K Deibler, CT Madsen, C Stahlhut, ... Journal of chemical information and modeling 63 (9), 2651-2655, 2023 | 17* | 2023 |
| The dynamic landscape of peptide activity prediction O Bárcenas, C Pintado-Grima, K Sidorczuk, F Teufel, H Nielsen, ... Computational and Structural Biotechnology Journal 20, 6526-6533, 2022 | 17 | 2022 |
| SignalP: the evolution of a web server H Nielsen, F Teufel, S Brunak, G von Heijne Protein Bioinformatics, 331-367, 2024 | 16 | 2024 |
| MembraneFold: visualising transmembrane protein structure and topology S Gutierrez, WG Tyczynski, W Boomsma, F Teufel, O Winther bioRxiv, 2022.12. 06.518085, 2022 | 14 | 2022 |
| Predicting the subcellular location of prokaryotic proteins with DeepLocPro J Moreno, H Nielsen, O Winther, F Teufel Bioinformatics 40 (12), btae677, 2024 | 11 | 2024 |
| DeepPeptide predicts cleaved peptides in proteins using conditional random fields F Teufel, JC Refsgaard, CT Madsen, C Stahlhut, M Grønborg, O Winther, ... Bioinformatics 39 (10), btad616, 2023 | 2 | 2023 |
| LOL-EVE: Predicting Promoter Variant Effects from Evolutionary Sequences CA Shearer, F Teufel, R Orenbuch, D Ritter, A Spinner, E Xie, J Frazer, ... bioRxiv, 2024.11. 11.623015, 2024 | | 2024 |
| Batched Energy-Entropy acquisition for Bayesian Optimization F Teufel, C Stahlhut, J Ferkinghoff-Borg arXiv preprint arXiv:2410.08804, 2024 | | 2024 |
| SecretoGen: towards prediction of signal peptides for efficient protein secretion F Teufel, C Stahlhut, J Refsgaard, H Nielsen, O Winther, D Madsen NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | | 2023 |
Ole WintherBiology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of DenmarkEmail verificata su bio.ku.dk