CLAPE-DB
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
- Tsinghua University
- Organisation type
- Academia
- Country
- China
- Published
- 3 January 2024
- Authors
- Yufan Liu, Boxue Tian
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein nucleotide interaction 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
- 314,139 tokens
Dataset1 TR646 residues: 314,139 Dataset2 TR573 residues: 159,883 314,139 + 159,883 = 474,022 total residues Final data points = 474,022
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Protein–DNA binding sites prediction based on pre-trained protein language model and contrastive learning
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
CLAPE-DB was published by Tsinghua University, in China, in January 2024. academia is the category the publisher falls under.
It works in Biology, and is recorded as doing protein nucleotide interaction prediction.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Training and provenance
It was trained on about 314,139 tokens of text.
Answers
CLAPE-DB — common questions
How many parameters does CLAPE-DB have?
No parameter count has been published for CLAPE-DB, which is why no memory or speed figure appears on this page.
Who created CLAPE-DB?
CLAPE-DB was published by Tsinghua University, based in China, categorised as academia.
When was CLAPE-DB released?
CLAPE-DB was published in January 2024. 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 CLAPE-DB used for?
CLAPE-DB works in Biology, and is recorded as handling protein nucleotide interaction prediction. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run CLAPE-DB?
None. CLAPE-DB 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.
Is CLAPE-DB open source?
The licensing for CLAPE-DB was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
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.