AI models
ProtRNA
Parameters
650M
Published
Sep 14, 2024
ProtRNA is an AI model developed by Fudan University and Shanghai AI Lab (China), first published in September 2024. It works in the biology domain, on tasks such as rna structure prediction, rna-protein interaction prediction and mean ribosome load prediction.
Epoch AI has no training-compute estimate for this model. The model has 650,000,000 parameters. Training ran on 4 NVIDIA V100.
Access: Open weights (unrestricted). Its weights are openly available. It is built on top of ESM2-650M. The reference paper has 2 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Fudan University, Shanghai AI Lab
- Country of organization
- China
- Domain
- Biology
- Task
- RNA structure prediction, RNA-Protein interaction prediction, Mean ribosome load prediction
- Parameters
- 650,000,000
- Training hardware
- NVIDIA V100
- Chips used
- 4
- Training power draw
- 2.4 kW
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Base model
- ESM2-650M
- Citations
- 2
- Epoch confidence
- Confident
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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