Molecular render representing RFdiffusion

RFdiffusion

De novo design of proteins, binders and motifs by diffusion

RFdiffusion denoises protein backbones with a RoseTTAFold-derived network to generate novel monomers, oligomers, binders, enzyme motifs and symmetric assemblies from scratch. Conditioning inputs define scaffolding problems such as motif grafting or target-binding constraints. Output backbones feed directly into ProteinMPNN for sequence design.

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At a glance

Input
Target structure or motifs (PDB)
Output
Designed backbones (PDB)
Developed by
Baker Lab, UW
Published
Watson et al., Nature 2023 · 2023
#diffusion#binder-design#de-novo#motif-scaffolding