SignalP V1.1

World Wide Web Prediction Server

Center for Biological Sequence Analysis

Please note that this is an old version of SignalP. The current version can be found at:

The SignalP World Wide Web 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.

NEW:Nobel Prize for Signal Peptides:  The 1999 Nobel Prize in Physiology or Medicine has been awarded to Günter Blobel for the discovery that "proteins have intrinsic signals that govern their transport and localization in the cell."  The first such signal to be discovered was the secretory signal peptide, which is the signal predicted by SignalP.  Read the press release.

NEW:SignalP is being updated to version 2.0, incorporating both neural network-based and hidden Markov model-based predictions. To try a beta version of SignalP V2.0, click here!

Go directly to submission form


The method is described in

Further information


Signal peptide data set



Mail server

If your browser does not support forms, or if you want to submit more than one sequence at a time, you may use the instead of the WWW submission form.

Portable version

Would you prefer to run SignalP at your own site? SignalP 1.2 is available as a package on a commercial license. Currently available platforms include MIPS (under IRIX, Silicon Graphics), SPARC (under Solaris, Sun) and Alpha (under OSF1). Send inquiries by e-mail to

WWW Submission form

Please note that this is an old version of SignalP. The current version can be found at:

Sequence name


N.B.: Submit only the N-terminal part of your protein, not more than 50-70 amino acids.

Organism group

select one or more group(s) by clicking the check-box(es) below:
gram-: Use networks trained on sequences from gram-negative prokaryotes
gram+: Use networks trained on sequences from gram-positive prokaryotes
euk: Use networks trained on sequences from eukaryotes
N.B. If no organism groups are indicated, predictions from all three network ensembles will be returned.


Include Postscript graphics.


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Last change: Feb 14, 2001,
Kristoffer Rapacki

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