Gunnar von Heijne
Gunnar von Heijne
Verified email at dbb.su.se - Homepage
TitleCited byYear
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
90252001
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
70802004
SignalP 4.0: discriminating signal peptides from transmembrane regions
TN Petersen, S Brunak, G Von Heijne, H Nielsen
Nature methods 8 (10), 785, 2011
68852011
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
61261997
A new method for predicting signal sequence cleavage sites
G Von Heijne
Nucleic acids research 14 (11), 4683-4690, 1986
47911986
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
42642000
Tissue-based map of the human proteome
M UhlÚn, L Fagerberg, BM Hallstr÷m, C Lindskog, P Oksvold, ...
Science 347 (6220), 1260419, 2015
33442015
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, 2007
30122007
A hidden Markov model for predicting transmembrane helices in protein sequences.
ELL Sonnhammer, G Von Heijne, A Krogh
Ismb 6, 175-182, 1998
24171998
Patterns of amino acids near signal‐sequence cleavage sites
G Von Heijne
European journal of biochemistry 133 (1), 17-21, 1983
22891983
Signal sequences: the limits of variation
G Von Heijne
Journal of molecular biology 184 (1), 99-105, 1985
22591985
Membrane protein structure prediction: hydrophobicity analysis and the positive-inside rule
G Von Heijne
Journal of molecular biology 225 (2), 487-494, 1992
18721992
ChloroP, a neural network-based method for predicting chloroplast transit peptides and their cleavage sites
O Emanuelsson, H Nielsen, G Von Heijne
Protein Science 8 (5), 978-984, 1999
17171999
Genome‐wide analysis of integral membrane proteins from eubacterial, archaean, and eukaryotic organisms
E Wallin, GV Heijne
Protein Science 7 (4), 1029-1038, 1998
16821998
TopPred II: an improved software for membrane protein structure predictions
MG Claros, G Heijne
Bioinformatics 10 (6), 685-686, 1994
12341994
Prediction of transmembrane alpha-helices in prokaryotic membrane proteins: the dense alignment surface method.
M Cserz÷, E Wallin, I Simon, G Von Heijne, A Elofsson
Protein engineering 10 (6), 673-676, 1997
12131997
Domain structure of mitochondrial and chloroplast targeting peptides
G von HEIJNE, J STEPPUHN, RG Herrmann
European Journal of Biochemistry 180 (3), 535-545, 1989
12071989
The signal peptide
G von Heijne
Journal of Membrane Biology 115 (3), 195-201, 1990
10651990
Machine learning approaches for the prediction of signal peptides and other protein sorting signals
H Nielsen, S Brunak, G von Heijne
Protein engineering 12 (1), 3-9, 1999
1057*1999
Mitochondrial targeting sequences may form amphiphilic helices.
G von Heijne
The EMBO journal 5 (6), 1335-1342, 1986
10091986
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Articles 1–20