RFdiffusion3 for Backbone generation 🧬

When the Baker lab released the first version of RFdiffusion, they opened up new avenues for protein design. The model was based on the previous structure prediction architectures, yet employing the diffusion framework typical of image generation models. It showed impressive results in generating protein backbones for motif scaffolding and binder design.

Now in its third version, RFD3 can create binders for an extended set of targets, from DNA/RNA to small molecules, and allows advanced conditiong. This space allows you to run backbone generation jobs using Hugging Face's hardware and download the results!

Image Source: Butcher J, Krishna R, Mitra R, Brent RI, Li Y, Corley N, Kim PT, Funk J, Mathis S, Salike S, Muraishi A, Eisenach H, Thompson TR, Chen J, Politanska Y, Sehgal E, Coventry B, Zhang O, Qiang B, Didi K, Kazman M, DiMaio F, Baker D. De novo Design of All-atom Biomolecular Interactions with RFdiffusion3. bioRxiv [Preprint]. 2025 Nov 19:2025.09.18.676967. doi: 10.1101/2025.09.18.676967. PMID: 41000976; PMCID: PMC12458353.

Unconditional generation of backbones

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