RFdiffusion2 entered the model lineage

Why this model matters

RFdiffusion applies denoising diffusion to protein backbones, generating novel folds, binders, symmetric assemblies and scaffolds around functional motifs. Paired with ProteinMPNN for sequence design, it is the workhorse of modern de novo protein design and lab-validated binders.

Current evidence boundary

• Performance depends on the evaluation dataset and operating conditions.
• Task-specific benchmark results should not be compared across unlike domains.
• Outputs require task-specific scientific and experimental validation.