NeoaPred
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
- South China University of Technology,Jinan University
- Organisation type
- Academia,Academia
- Country
- China
- Published
- 14 September 2024
- Authors
- Dawei Jiang, Binbin Xi, Wenchong Tan, Zixi Chen, Jinfen Wei, Meiling Hu, Xiaoyun Lu, Dong Chen, Hongmin Cai, Hongli Du
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Immunogenic Neoantigen 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
PDB structures: 1,018 × 0.90 = 916 Self-distillation: 7,860 PepConf total: 916 + 7,860 = 8,776 ≈ 8.8 × 10³ PepFore samples: 32,962 × 0.90 = 29,666 ≈ 2.97 × 10⁴ Final total: 8.8 × 10³ + 2.97 × 10⁴ = 3.85 × 10⁴ ≈ 3.9 × 10⁴ datapoints
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
- NeoaPred: A deep-learning framework for predicting immunogenic neoantigen based on surface and structural features of peptide-HLA complexes
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
NeoaPred was published by South China University of Technology,Jinan University, in China, in September 2024. academia,Academia is the category the publisher falls under.
It works in Biology, and is recorded as doing immunogenic Neoantigen Prediction.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
NeoaPred — common questions
How many parameters does NeoaPred have?
No parameter count has been published for NeoaPred, which is why no memory or speed figure appears on this page.
Who created NeoaPred?
NeoaPred was published by South China University of Technology,Jinan University, based in China, categorised as academia,Academia.
When was NeoaPred released?
NeoaPred 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 NeoaPred used for?
NeoaPred works in Biology, and is recorded as handling immunogenic Neoantigen Prediction. 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 NeoaPred?
None. NeoaPred 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 NeoaPred open source?
The licensing for NeoaPred 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.