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Gunnar von Heijne
Gunnar von Heijne
Professor Stockholm University, Sweden
Bestätigte E-Mail-Adresse bei dbb.su.se
Titel
Zitiert von
Zitiert von
Jahr
Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes
A Krogh, B Larsson, G Von Heijne, ELL Sonnhammer
Journal of molecular biology 305 (3), 567-580, 2001
138892001
Tissue-based map of the human proteome
M Uhlén, L Fagerberg, BM Hallström, C Lindskog, P Oksvold, ...
Science 347 (6220), 1260419, 2015
130652015
SignalP 4.0: discriminating signal peptides from transmembrane regions
TN Petersen, S Brunak, G Von Heijne, H Nielsen
Nature methods 8 (10), 785-786, 2011
99982011
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
79162004
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
67581997
A new method for predicting signal sequence cleavage sites
G Von Heijne
Nucleic acids research 14 (11), 4683-4690, 1986
53941986
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
O Emanuelsson, H Nielsen, S Brunak, G Von Heijne
Journal of molecular biology 300 (4), 1005-1016, 2000
51512000
Locating proteins in the cell using TargetP, SignalP and related tools
O Emanuelsson, S Brunak, G Von Heijne, H Nielsen
Nature protocols 2 (4), 953-971, 2007
37752007
SignalP 5.0 improves signal peptide predictions using deep neural networks
JJ Almagro Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, ...
Nature biotechnology 37 (4), 420-423, 2019
35692019
A hidden Markov model for predicting transmembrane helices in protein sequences.
ELL Sonnhammer, G Von Heijne, A Krogh
Ismb 6, 175-182, 1998
32631998
Signal sequences: the limits of variation
G Von Heijne
Journal of molecular biology 184 (1), 99-105, 1985
27581985
Patterns of amino acids near signal‐sequence cleavage sites
G Von Heijne
European journal of biochemistry 133 (1), 17-21, 1983
26691983
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
21441999
Membrane protein structure prediction: hydrophobicity analysis and the positive-inside rule
G Von Heijne
Journal of molecular biology 225 (2), 487-494, 1992
21211992
Genome‐wide analysis of integral membrane proteins from eubacterial, archaean, and eukaryotic organisms
E Wallin, GV Heijne
Protein Science 7 (4), 1029-1038, 1998
20811998
The signal peptide
G von Heijne
The Journal of membrane biology 115, 195-201, 1990
14331990
Domain structure of mitochondrial and chloroplast targeting peptides
G von HEIJNE, J Steppuhn, RG Herrmann
European Journal of Biochemistry 180 (3), 535-545, 1989
13851989
Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface method.
M Cserzö, E Wallin, I Simon, G von Heijne, A Elofsson
Protein engineering 10 (6), 673-676, 1997
13611997
Feature-based prediction of non-classical and leaderless protein secretion
JD Bendtsen, LJ Jensen, N Blom, G Von Heijne, S Brunak
Protein Engineering Design and Selection 17 (4), 349-356, 2004
13342004
Prediction of lipoprotein signal peptides in Gram‐negative bacteria
AS Juncker, H Willenbrock, G Von Heijne, S Brunak, H Nielsen, A Krogh
Protein Science 12 (8), 1652-1662, 2003
13192003
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