User profiles for Gunnar von Heijne
Gunnar von HeijneStockholm University Verified email at dbb.su.se Cited by 142185 |
[PDF][PDF] The signal peptide
G von Heijne - The Journal of membrane biology, 1990 - academia.edu
Early on, comparisons of known SPs indicated that they typically have three distinct domains
(Fig. 1): an amino-terminal positively charged region (n-region, 1-5 residues long); a central…
(Fig. 1): an amino-terminal positively charged region (n-region, 1-5 residues long); a central…
Tissue-based map of the human proteome
…, L Persson, F Johansson, M Zwahlen, G Von Heijne… - Science, 2015 - science.org
INTRODUCTION Resolving the molecular details of proteome variation in the different tissues
and organs of the human body would greatly increase our knowledge of human biology …
and organs of the human body would greatly increase our knowledge of human biology …
Signal sequences: the limits of variation
G Von Heijne - Journal of molecular biology, 1985 - Elsevier
… Unless otherwise indicated, references can be found in von Heijne (1984b). … The c-region
is clearly involved in defining the cleavage site (von Heijne. 1984a); the h-region has been …
is clearly involved in defining the cleavage site (von Heijne. 1984a); the h-region has been …
How proteins adapt to a membrane–water interface
JA Killian, G von Heijne - Trends in biochemical sciences, 2000 - cell.com
Membrane proteins present a hydrophobic surface to the surrounding lipid, whereas portions
protruding into the aqueous milieu expose a polar surface. But how have proteins evolved …
protruding into the aqueous milieu expose a polar surface. But how have proteins evolved …
SignalP 4.0: discriminating signal peptides from transmembrane regions
To the Editor: The secretory signal peptide is a ubiquitous proteinsorting signal that targets
its passenger protein for translocation across the endoplasmic reticulum membrane in …
its passenger protein for translocation across the endoplasmic reticulum membrane in …
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites.
We have developed a new method for the identification of signal peptides and their cleavage
sites based on neural networks trained on separate sets of prokaryotic and eukaryotic …
sites based on neural networks trained on separate sets of prokaryotic and eukaryotic …
Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes
A Krogh, B Larsson, G Von Heijne… - Journal of molecular …, 2001 - Elsevier
We describe and validate a new membrane protein topology prediction method, TMHMM,
based on a hidden Markov model. We present a detailed analysis of TMHMM’s performance, …
based on a hidden Markov model. We present a detailed analysis of TMHMM’s performance, …
Improved prediction of signal peptides: SignalP 3.0
We describe improvements of the currently most popular method for prediction of classically
secreted proteins, SignalP. SignalP consists of two different predictors based on neural …
secreted proteins, SignalP. SignalP consists of two different predictors based on neural …
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence
A neural network-based tool, TargetP, for large-scale subcellular location prediction of newly
identified proteins has been developed. Using N-terminal sequence information only, it …
identified proteins has been developed. Using N-terminal sequence information only, it …
A new method for predicting signal sequence cleavage sites
G Von Heijne - Nucleic acids research, 1986 - academic.oup.com
A new method for identifying secretory signal sequences and for predicting the site of cleavage
between a signal sequence and the mature exported protein is described. The predictive …
between a signal sequence and the mature exported protein is described. The predictive …