AI models
DiffBindFR
Training compute
4×10²⁰ FLOP
Published
Apr 9, 2024
DiffBindFR is an AI model developed by Peking University and Tsinghua-Peiking Center for Life Sciences (China), first published in April 2024. It works in the biology domain, on tasks such as protein-ligand binding affinity prediction and protein-ligand contact prediction.
Training it took an estimated 4×10²⁰ FLOP of compute (estimation method: hardware).
Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 16 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Peking University, Tsinghua-Peiking Center for Life Sciences
- Country of organization
- China
- Domain
- Biology
- Task
- Protein-ligand binding affinity prediction, Protein-ligand contact prediction
- Training compute
- 4×10²⁰ FLOP
- Compute estimation method
- Hardware
- Model accessibility
- Open weights (unrestricted)
- Open weights
- Yes
- Citations
- 16
- 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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