AI models
LEP-AD
Parameters
3B
Published
Mar 15, 2023
LEP-AD is an AI model developed by King Abdullah University of Science and Technology (KAUST) and Karolinska Institute (Saudi Arabia and Sweden), first published in March 2023. It works in the biology domain, on tasks such as proteins, protein interaction prediction, drug discovery and protein-ligand binding affinity prediction.
Epoch AI has no training-compute estimate for this model. The model has 3,007,381,000 parameters. It was trained on roughly 1.2M datapoints.
Access: Unreleased. Its weights are not openly released. It is built on top of ESM2-3B. The reference paper has 1 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- King Abdullah University of Science and Technology (KAUST), Karolinska Institute
- Country of organization
- Saudi Arabia, Sweden
- Domain
- Biology
- Task
- Proteins, Protein interaction prediction, Drug discovery, Protein-ligand binding affinity prediction
- Parameters
- 3,007,381,000
- Dataset size
- 1.2M
- Numerical format
- FP16
- Model accessibility
- Unreleased
- Open weights
- No
- Base model
- ESM2-3B
- Citations
- 1
- Epoch confidence
- Confident
More from King Abdullah University of Science and Technology (KAUST),Karolinska Institute
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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