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Henrik Nielsen
Henrik Nielsen
Associate Professor, Department of Health Technology, Technical University of Denmark
Verified email at dtu.dk - Homepage
Title
Cited by
Cited by
Year
A brief history of protein sorting prediction
H Nielsen, KD Tsirigos, S Brunak, G von Heijne
The protein journal 38, 200-216, 2019
2072019
A neural network method for identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
H Nielsen, J Engelbrecht, S Brunak, G Von Heijne
International Journal of Neural Systems 8 (5-6), 581-599, 1997
8451997
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
1752017
An overabundance of phase 0 introns immediately after the start codon in eukaryotic genes
H Nielsen, R Wernersson
BMC genomics 7 (1), 256, 2006
162006
Assessing the accuracy of prediction algorithms for classification: an overview
P Baldi, S Brunak, Y Chauvin, CAF Andersen, H Nielsen
Bioinformatics 16 (5), 412-424, 2000
26612000
ChloroP, a neural network‐based method for predicting chloroplast transit peptides and their cleavage sites
O Emanuelsson, H Nielsen, GV Heijne
Protein Science 8 (5), 978-984, 1999
21521999
Competition between Sec‐and TAT‐dependent protein translocation in Escherichia coli
S Cristóbal, JW de Gier, H Nielsen, G von Heijne
The EMBO journal, 1999
3781999
Convolutional LSTM networks for subcellular localization of proteins
SK Sønderby, CK Sønderby, H Nielsen, O Winther
Algorithms for Computational Biology: Second International Conference, AlCoB …, 2015
1602015
Deep protein representations enable recombinant protein expression prediction
HM Martiny, JJA Armenteros, AR Johansen, J Salomon, H Nielsen
Computational Biology and Chemistry 95, 107596, 2021
82021
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
2722022
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, gkae237, 2024
2024
DeepLoc: prediction of protein subcellular localization using deep learning
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Bioinformatics 33 (21), 3387-3395, 2017
10712017
Defining a similarity threshold for a functional protein sequence pattern: the signal peptide cleavage site
H Nielsen, J Engelbrecht, G von Heijne, S Brunak
Proteins: Structure, Function, and Bioinformatics 24 (2), 165-177, 1996
1111996
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
7462019
From sequence to sorting: prediction of signal peptides
H Nielsen
Univ., 1999
111999
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
102023
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
H Nielsen, J Engelbrecht, S Brunak, G Von Heijne
Protein engineering 10 (1), 1-6, 1997
67741997
iMLP, a predictor for internal matrix targeting-like sequences in mitochondrial proteins
K Schneider, D Zimmer, H Nielsen, JM Herrmann, T Mühlhaus
Biological Chemistry 402 (8), 937-943, 2021
162021
Improved prediction of signal peptides: SignalP 3.0
JD Bendtsen, H Nielsen, G Von Heijne, S Brunak
Journal of molecular biology 340 (4), 783-795, 2004
79692004
Landscape of eukaryotic transmembrane beta barrel proteins
AF Roumia, MC Theodoropoulou, KD Tsirigos, H Nielsen, PG Bagos
Journal of proteome research 19 (3), 1209-1221, 2020
52020
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