ESMFold v2
Meta AI
• Framework: UnknownESMFold v2 is Meta AI’s second-generation protein folding model, designed for high-speed and high-accuracy structure prediction. It achieves atomic-level precision and predicts protein structures up to five times faster than AlphaFold while maintaining comparable accuracy. ESMFold v2 introduces multi-state prediction and binding site detection capabilities, making it a powerful tool for structural biology, drug discovery, and molecular modeling. Built on Meta’s ESM-2 transformer architecture, the model supports GPU and cloud inference through open-source implementations, enabling researchers to integrate advanced protein folding into computational pipelines.
ESMFold v2 AI Model
Model Performance Statistics
Views
Released
Last Checked
Version
- Protein folding
- Binding site prediction
- Multi-state modeling
- Parameter Count
- N/A
Dataset Used
Protein Data Bank, UniRef
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