SignalP 6.0
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Technical University of Denmark,ETH Zurich,University of Copenhagen,Stanford University,Stockholm University,European Bioinformatics Institute
- Organisation type
- Academia,Academia,Academia,Academia,Academia,Research collective
- Country
- Denmark, Switzerland, United States of America, Sweden, Multinational, United Kingdom of Great Britain and Northern Ireland
- Published
- 3 January 2022
- Authors
- Felix Teufel, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Magnús Halldór Gíslason, Silas Irby Pihl, Konstantinos D. Tsirigos, Ole Winther, Søren Brunak, Gunnar von Heijne & Henrik Nielsen
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Signal peptide prediction
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- SignalP 6.0 predicts all five types of signal peptides using protein language models
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
SignalP 6.0 was published by Technical University of Denmark,ETH Zurich,University of Copenhagen,Stanford University,Stockholm University,European Bioinformatics Institute, in Denmark, in January 2022. It comes out of academia,Academia,Academia,Academia,Academia,Research collective.
It works in Biology, and is recorded as doing signal peptide prediction.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
SignalP 6.0 — common questions
Is SignalP 6.0 open source?
The licensing for SignalP 6.0 was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does SignalP 6.0 have?
No parameter count has been published for SignalP 6.0, which is why no memory or speed figure appears on this page.
Who created SignalP 6.0?
SignalP 6.0 was published by Technical University of Denmark,ETH Zurich,University of Copenhagen,Stanford University,Stockholm University,European Bioinformatics Institute, based in Denmark, categorised as academia,Academia,Academia,Academia,Academia,Research collective.
When was SignalP 6.0 released?
SignalP 6.0 was published in January 2022. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is SignalP 6.0 used for?
SignalP 6.0 works in Biology, and is recorded as handling signal peptide prediction. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run SignalP 6.0?
None. SignalP 6.0 is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.