4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment
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
- Fudan University,Shanghai Academy of Artificial Intelligence for Science,Nanjing University
- Organisation type
- Academia,Academia
- Country
- China
- Published
- 12 September 2024
- Authors
- Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein folding 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
- Epochs
- 550
This model is not trained on a token level and processes a protein in a single forward pass. 764 proteins * 32 steps = 24448
Training compute
The arithmetic performed to train the model, measured in floating-point operations. It is a measure of what the training run cost, not of how fast the finished model answers you.
- How it was established
- Hardware
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA A100
- Chips used
- 1
- Power draw
- 433 W
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
- Unreleased
- Training code
- Unreleased
the page is not accessible anymore https://github.com/fudan-generative-vision/AlphaFolding
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
- 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment
- Last updated
- 28 November 2025
What the numbers mean
What this model is
4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment was published by Fudan University,Shanghai Academy of Artificial Intelligence for Science,Nanjing University, in China, in September 2024. It comes out of academia,Academia.
It works in Biology, and is recorded as doing protein folding prediction.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment — common questions
How many parameters does 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment have?
No parameter count has been published for 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment, which is why no memory or speed figure appears on this page.
Who created 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment?
4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment was published by Fudan University,Shanghai Academy of Artificial Intelligence for Science,Nanjing University, based in China, categorised as academia,Academia.
When was 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment released?
4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment was published in September 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 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment used for?
4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment works in Biology, and is recorded as handling protein folding 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 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment?
None. 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment 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 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment open source?
No. 4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment has not had its weights published, so it exists only as a service controlled by its owner.
The other direction
Looking at it from the other side?
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