Submision

Submission

Sequence submission: paste the sequence(s) and/or upload a local file

Paste a single sequence or several sequences in FASTA format into the field below:

Submit a file in FASTA format directly from your local disk:

Organism group
Eukaryotes
Gram-negative bacteria
Gram-positive bacteria

D-cutoff values

	Default (optimized for correlation)
	Sensitive (reproduce SignalP 3.0's sensitivity)
	User defined:
		D-cutoff for SignalP-noTM networks
		D-cutoff for SignalP-TM networks

Graphics output
No graphics
PNG (inline)
PNG (inline) and EPS (as links)

Output format
Standard
Short (no graphics)
Long
All - SignalP-noTM and SignalP-TM output (no graphics)

Method
Input sequences may include TM regions
Input sequences do not include TM regions

Positional limits

	Minimal predicted signal peptide length. Default: 10
	N-terminal truncation of input sequence (0 means no truncation). Default: Truncate sequence to a length of 70 aa

Restrictions:
At most 2,000 sequences and 200,000 amino acids per submission; each sequence not more than 6,000 amino acids.

Confidentiality:
The sequences are kept confidential and will be deleted after processing.

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.
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.
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.
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.