SYNTERACT
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
- University of Delaware
- Organisation type
- Academia
- Country
- United States of America
- Published
- 9 June 2023
- Authors
- Logan Hallee, Jason P. Gleghorn
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein interaction prediction
- Base model
- ProtBERT-BFD
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.
- Parameters
- 420M
- Training data
- tokens
- Batch size
- 70
353,976 pairs × 500 avg amino acids = 176,988,000 tokens ≈ 1.8 × 10⁸ tokens {pairs calculation: 179,018 + 3,958 + 170,000 = 353,976}
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-Protein Interaction Prediction is Achievable with Large Language Models
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
SYNTERACT was published by University of Delaware, in the country recorded as United States of America, during June 2023. It comes out of an organisation categorised as academia.
It works in the domain of Biology, and is recorded as performing the task of protein interaction prediction.
Rather than being trained from scratch, it is derived from ProtBERT-BFD. Most models at this scale are adapted from an existing base rather than built from nothing.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
SYNTERACT — common questions
SYNTERACT— who created it?
It was published by University of Delaware, based in United States of America, an organisation categorised as academia.
SYNTERACT— when was it released?
It was published in June 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
SYNTERACT— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of protein interaction prediction. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
SYNTERACT— 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.
SYNTERACT— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
SYNTERACT— how many parameters does it have?
It has a parameter count of 420M. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
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.