NetSurfP-2.0
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,University of Copenhagen,Universidad Nacional de San Martín,AIMST University
- Organisation type
- Academia,Academia,Academia,Academia
- Country
- Denmark, Argentina, Malaysia
- Published
- 10 September 2018
- Authors
- Michael Schantz Klausen, Martin Closter Jespersen, Henrik Nielsen, Kamilla Kjærgaard Jensen, Vanessa Isabell Jurtz, Casper Kaae Sønderby, Morten Otto Alexander Sommer, Ole Winther, Morten Nielsen, Bent Petersen, View ORCID ProfilePaolo Marcatili
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein folding prediction, Protein property 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
"A structural dataset consisting of 12,185 crystal structures was obtained from the Protein Data Bank (PDB) (23), culled and selected by the PISCES server (24) with 25% sequence similarity clustering threshold and a resolution of 2.5 Å or better. To avoid overfitting, any sequence that had more than 25% identity to any sequences in the test datasets (see “Evaluation” section for details) was removed, as well as peptide chains with less than 20 residues, leaving 10,837 sequences. Finally, we rand…
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Hosted access (no API)
- Training code
- Unreleased
NetSurfP-2.0 is available both as a web-server, and as an independent software (http://www.cbs.dtu.dk/services/NetSurfP-2.0/). The web-server version accepts up to 4,000 sequences or 4,000,000 residues per job.
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- SOTA improvement
- Record confidence
- Unknown
"We assessed the accuracy of NetSurfP-2.0 on several independent test datasets and found it to consistently produce state-of-the-art predictions for each of its output features."
Sources
Where this record came from and when it was last checked.
- Reference
- NetSurfP-2.0: improved prediction of protein structural features by integrated deep learning
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
NetSurfP-2.0 was published by Technical University of Denmark,University of Copenhagen,Universidad Nacional de San Martín,AIMST University, in the country recorded as Denmark, during September 2018. The category the publisher falls under is academia,Academia,Academia,Academia.
It works in the domain of Biology, and is recorded as performing the task of protein folding prediction, Protein property prediction.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
What went into building it
The reason it appears in this catalogue at all: sOTA improvement.
Answers
NetSurfP-2.0 — common questions
NetSurfP-2.0— when was it released?
It was published in September 2018. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
NetSurfP-2.0— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of protein folding prediction, Protein property prediction. These are the areas it was designed around; they describe intent rather than a hard boundary.
NetSurfP-2.0— what GPU do I need to run it?
None. This 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.
NetSurfP-2.0— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
NetSurfP-2.0— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
NetSurfP-2.0— who created it?
It was published by Technical University of Denmark,University of Copenhagen,Universidad Nacional de San Martín,AIMST University, based in Denmark, an organisation categorised as academia,Academia,Academia,Academia.
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.