← Protein structure & design

RFD4-Proteina

Flow-matching model from the Baker lab and NVIDIA that co-designs protein sequence and all-atom structure, covering binders, antibodies, enzymes and small-molecule pockets, with reward-guided search.

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CategoryProtein structure & design
GitHubRosettaCommons/RFD4-Proteina
First public2026-10-19 (source)
Paperhttps://rfd4-proteina.org/assets/paper/RFD4-Proteina.pdf · Preprint (2026)
Code licenseBSD-3-Clause
Weights licenseHugging Face weights BSD-3-Clause
What this allowsPermissive (commercial OK)
Use, modify and ship it inside closed-source commercial products; keep the license text and copyright notices. What do these mean?
License sourcehuggingface.co/nvidia/RFD4-Proteina · checked 2026-10-22
PricingOpen source
Tags#protein-design#flow-matching#all-atom#antibody
Last checked · links verified

Can I use RFD4-Proteina commercially?

Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices.

What the license types mean · not legal advice.

Specs

TaskMonomers, protein/DNA binders, antibodies and nanobodies, enzymes, motif scaffolding, small-molecule binders, partial diffusion, inverse folding
ModalitiesProteins, nucleic acids, small molecules (unified autoencoder)
MSA required—
Open weightsYes (Hugging Face nvidia/RFD4-Proteina)
GPU needNVIDIA GPU, CUDA 12/13, Linux
GitHub stars333
InterfacePackage (pip install rfd4-proteina), CLI, Python API, Hugging Face Diffusers, NVIDIA NIM

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