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SignalP specifications


Unique identifier OMICS_03894
Name SignalP
Alternative name SignalP-NN
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes



  • person_outline Henrik Nielsen

Additional information

Access available upon request.


Unique identifier OMICS_03894
Name SignalP
Alternative name SignalP-NN
Software type Pipeline/Workflow
Interface Command line interface
Restrictions to use Academic or non-commercial use
Input data A single amino acid sequence or several sequences.
Input format FASTA
Operating system Unix/Linux, Mac OS, Windows
Programming languages Perl
Computer skills Advanced
Version 4.1
Stability Stable
CYGWIN or MobaXterm (Windows only), GNUPLOT




No version available



This tool is not maintained anymore.

Additional information

Access available upon request.

Publications for SignalP

SignalP citations


Identification and tissue distribution of chemosensory protein and odorant binding protein genes in Tropidothorax elegans Distant (Hemiptera: Lygaeidae)

Sci Rep
PMCID: 5958050
PMID: 29773848
DOI: 10.1038/s41598-018-26137-6

[…] Signal peptides were predicted using SignalP 4.1 server ( The similarity searches were performed using NCBI BLAST ( Multiple sequence alignment was conducted using […]


Endocytosis mediated siderophore uptake as a strategy for Fe acquisition in diatoms

Sci Adv
PMCID: 5955625
PMID: 29774236
DOI: 10.1126/sciadv.aar4536

[…] membrane. As a follow-up to these observations, we used bioinformatics to determine whether the protein had a predicted signal peptide or a chloroplast targeting sequence. The combined algorithms of SignalP v.3.0 (using neural networks) and ASAFind suggest that ISIP1 has a predicted N-terminal signal peptide but that it is not targeted to the chloroplast because it lacks the FWYL residue at +1 of […]


Comparative Genomics Reveals the Core Gene Toolbox for the Fungus Insect Symbiosis

PMCID: 5954228
PMID: 29764946
DOI: 10.1128/mBio.00636-18

[…] tein length (). CEGMA v2.4.010312 was used to identify the presence of core eukaryotic-protein-coding genes and for subsequent evaluation of genome coverage (). Secreted proteins were predicted using SignalP v4.1 (no truncation to the sequence length) (), and transmembrane helices were predicted using TMHMM v2.0 (). Potential pathogenic proteins were identified using BLASTP against pathogen-host i […]


Papain like and legumain like proteases in rice: genome wide identification, comprehensive gene feature characterization and expression analysis

BMC Plant Biol
PMCID: 5952849
PMID: 29764367
DOI: 10.1186/s12870-018-1298-1

[…] To gain insight into potential subcellular location of each OsCP and OsVPE, signal peptide predication of each protein using SignalP 4.1 was firstly carried out []. The results revealed that all OsCPs and OsVPEs contain a predicted signal peptide, indicating that all members in these two families could enter the endomembran […]


Immune Informatic Analysis and Design of Peptide Vaccine From Multi epitopes Against Corynebacterium pseudotuberculosis

Bioinform Biol Insights
PMCID: 5954444
PMID: 29780242
DOI: 10.1177/1177932218755337

[…] To verify the peptide signal and consequently locate the C pseudotuberculosis, the SignalP 4.1 software was used (available at This tool contains 2 neural networks, where it is possible to select sequence options with or without transmembrane sets. […]


Characterisation of proteins in excretory/secretory products collected from salmon lice, Lepeophtheirus salmonis

PMCID: 5948691
PMID: 29751843
DOI: 10.1186/s13071-018-2885-6
call_split See protocol

[…] To investigate secretory involvement, signal peptide predictions were made from the translated cDNA sequence representing each protein using SignalP prediction software (CBS). Identified proteins were investigated using the Blast2Go software suite []. Sequences were blasted against the NCBInr database. Proteins were then assigned into func […]


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SignalP institution(s)
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark; Novo Nordisk Foundation Center for Protein Research, Health Sciences Faculty, University of Copenhagen, Copenhagen, Denmark; Center for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden; Science for Life Laboratory, Stockholm University, Solna, Sweden

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