Articles with public access mandates - Henrik NielsenLearn more
Available somewhere: 8
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
Mandates: Knut and Alice Wallenberg Foundation, Swedish Research Council
Detecting sequence signals in targeting peptides using deep learning
JJA Armenteros, M Salvatore, O Emanuelsson, O Winther, G Von Heijne, ...
Life science alliance 2 (5), 2019
Mandates: Swedish Research Council
LocTree3 prediction of localization
T Goldberg, M Hecht, T Hamp, T Karl, G Yachdav, N Ahmed, U Altermann, ...
Nucleic acids research 42 (W1), W350-W355, 2014
Mandates: German Research Foundation
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models
V Thumuluri, JJ Almagro Armenteros, AR Johansen, H Nielsen, O Winther
Nucleic acids research 50 (W1), W228-W234, 2022
Mandates: Danish National Research Foundation
An introduction to deep learning on biological sequence data: examples and solutions
VI Jurtz, AR Johansen, M Nielsen, JJ Almagro Armenteros, H Nielsen, ...
Bioinformatics 33 (22), 3685-3690, 2017
Mandates: US National Institutes of Health
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning
MH Høie, EN Kiehl, B Petersen, M Nielsen, O Winther, H Nielsen, ...
Nucleic acids research 50 (W1), W510-W515, 2022
Mandates: Danish Council for Independent Research
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
Mandates: Government of Spain, National Science Centre, Poland
Prediction of protein subplastid localization and origin with PlastoGram
K Sidorczuk, P Gagat, J Kała, H Nielsen, F Pietluch, P Mackiewicz, ...
Scientific Reports 13 (1), 8365, 2023
Mandates: National Science Centre, Poland
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