GraphBP
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
- Texas A&M,Fujitsu
- Organisation type
- Academia,Industry
- Country
- United States of America, Japan
- Published
- 19 April 2022
- Authors
- Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Drug discovery
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
- 60,000,000 tokens
500,000 complexes × 30 atoms/complex = 15,000,000 total data points (1.5e7)
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Speculative
- Citations
- 168
Sources
Where this record came from and when it was last checked.
- Reference
- Generating 3D Molecules for Target Protein Binding
- Last updated
- 25 May 2026
What the numbers mean
Background
GraphBP was published by Texas A&M,Fujitsu, in United States of America, in April 2022. It comes out of academia,Industry.
It works in Biology, and is recorded as doing drug discovery.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
The training set ran to roughly 60,000,000 tokens.
Answers
GraphBP — common questions
What is GraphBP used for?
GraphBP works in Biology, and is recorded as handling drug discovery. 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 GraphBP?
None. GraphBP 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 GraphBP open source?
The licensing for GraphBP 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 GraphBP have?
No parameter count has been published for GraphBP, which is why no memory or speed figure appears on this page.
Who created GraphBP?
GraphBP was published by Texas A&M,Fujitsu, based in United States of America, categorised as academia,Industry.
When was GraphBP released?
GraphBP was published in April 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.
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.