Today we are releasing RFdiffusion3 as open-source software. This state-of-the-art AI model for biodesign is capable of generating new proteins that interact with any type of molecule commonly found inside living cells.
RFdiffusion3 delivers several key innovations:

Efficiency and performance: RFdiffusion3 offers ten-fold faster performance over RFdiffusion2 developed earlier this year. In computational benchmarks, it matched or outperformed prior tools on a wide range of protein-protein binding, protein-DNA binding, protein-small molecule binding, and enzyme design tasks.
Atom-level diffusion: The model treats individual atoms as the fundamental units being designed, applying a deep learning technique called diffusion to rapidly create new atomic arrangements. This produces intricate chemical interactions with unprecedented precision.
A unified foundation model: RFdiffusion3 consolidates design capabilities that previously existed only in scattered, specialized models. Whether designing symmetric, binding, or catalytic proteins, researchers can now use a single, general-purpose tool.