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SignalP 4.1 Server
SignalP 4.1 server predicts the presence and location of signal peptide
cleavage sites in amino acid sequences from different organisms: Gram-positive
prokaryotes, Gram-negative prokaryotes, and eukaryotes. The method incorporates
a prediction of cleavage sites and a signal peptide/non-signal peptide
prediction based on a combination of several artificial neural networks.
View the version history of this server.
All the previous versions are available on line, for comparison and
reference.
New: SignalP has been updated to version 4.1 with two new features:
- an option to choose a D-score cutoff that reproduces the
sensitivity of SignalP 3.0 (this will make the false
positive rate slightly higher, but still better than that of SignalP 3.0)
- a customizable minimum length of the predicted signal peptide (default 10).
Additionally, the documentation has been rewritten. The
Instructions page is expanded, the
Output format page has been clarified, and there are new
Performance and
FAQ pages.
CITATIONS
For publication of results, please cite:
SignalP 4.0: discriminating signal peptides from transmembrane regions
Thomas Nordahl Petersen, Søren Brunak, Gunnar von Heijne & Henrik Nielsen
Nature Methods, 8:785-786, 2011
doi: 10.1038/nmeth.1701
PMID: 21959131
Supplementary materials:
nmeth.1701-S1.pdf
Other relevant papers:
- Original paper (version 1.0):
Identification of prokaryotic and eukaryotic signal peptides
and prediction of their cleavage sites.
Henrik Nielsen, Jacob Engelbrecht, Søren Brunak
and Gunnar von Heijne.
Protein Engineering, 10:1-6, 1997.
View the abstract.
- SignalP-HMM (version 2.0):
Prediction of signal peptides and signal anchors by a hidden
Markov model.
Henrik Nielsen and Anders Krogh.
Proceedings of the Sixth International Conference on Intelligent
Systems for Molecular Biology (ISMB 6),
AAAI Press, Menlo Park, California, pp. 122-130, 1998.
View the abstract.
- Version 3.0:
Improved prediction of signal peptides: SignalP 3.0.
Jannick Dyrløv Bendtsen, Henrik Nielsen,
Gunnar von Heijne and Søren Brunak.
J. Mol. Biol., 340:783-795, 2004.
View the abstract.
Download the full article in PDF.
- Paper about using SignalP and other
protein subcellular localization prediction methods:
Locating proteins in the cell using TargetP,
SignalP, and related tools
Olof Emanuelsson, Søren Brunak, Gunnar von Heijne, Henrik Nielsen
Nature Protocols 2:953-971 (2007).
Access the
paper and supplementary materials.
PORTABLE VERSION
Would you prefer to run SignalP at your own site? SignalP 4.1 is available
as a stand-alone software package, with the same functionality as the service
above. Ready-to-ship packages exist for Mac OS X and
the most common UNIX platforms. There is a
download page
for academic users; other users are requested to contact CBS Software Package
Manager at software@cbs.dtu.dk.
GETTING HELP
Scientific problems:
Technical problems:
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