AI models
DMPFold
Parameters
3.8M
Published
Nov 29, 2018
DMPFold is an AI model developed by University College London (UCL) (United Kingdom), first published in November 2018. It works in the biology domain, on tasks such as proteins, protein folding prediction and protein contact and distance prediction.
Epoch AI has no training-compute estimate for this model. The model has 3,800,000 parameters. It was trained on roughly 1.5B datapoints.
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 174 citations. Epoch AI rates the confidence of this record as likely.
Full record
- Organization
- University College London (UCL)
- Country of organization
- United Kingdom
- Domain
- Biology
- Task
- Proteins, Protein folding prediction, Protein contact and distance prediction
- Parameters
- 3,800,000
- Dataset size
- 1.5B
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 174
- Epoch confidence
- Likely
More from University College London (UCL)
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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