RFdiffusion
An open-source diffusion model for generating and designing protein structures, including binders, symmetric oligomers, and motif-scaffolded proteins.
What is RFdiffusion?
RFdiffusion is an open-source diffusion model for generating and designing protein structures. It solves the problem of creating novel proteins with desired functions, such as binding to specific targets or scaffolding functional motifs, by using a denoising process that starts from random noise and iteratively refines it into biologically plausible structures.
Computational biologists, protein engineers, and researchers in structural biology who need to design novel proteins for therapeutic, catalytic, or materials applications.
Developers choose RFdiffusion because it outperforms previous protein design methods in silico and experimentally, offers a wide range of design capabilities (binders, symmetric oligomers, motifs), and is open-source with extensive documentation and community support.
Overview
Code for running RFdiffusion
Use Cases
Best For
- Designing de novo protein binders to specific target sites
- Scaffolding functional motifs like enzyme active sites
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