RFdiffusion2
Baker Lab / IPD (University of Washington)
Successor to RFdiffusion using flow matching. Designs enzymes directly from active site geometry (theozyme) specifications.
Best For
Enzyme engineering; catalyst design from active site geometry
License
Open Source (check repo)
Strengths
- +Direct enzyme design from theozymes
- +Improved over RFdiffusion for enzyme tasks
Limitations
- −Primarily validated for enzyme design
- −More compute than RFdiffusion
R&D Pipeline Coverage
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More in Generative Design
RFdiffusion
Baker Lab / IPD (University of Washington)
Diffusion-based generative model for de novo protein backbone design. Generates novel protein structures conditioned on binding targets, symmetry, or functional sites.
ProteinMPNN
Baker Lab / IPD (University of Washington)
Inverse folding model: generates amino acid sequences predicted to fold into a target 3D backbone structure. Standard component of all modern protein design pipelines.
LigandMPNN
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Extension of ProteinMPNN that conditions sequence design on bound ligands, small molecules, metals, and nucleotides.
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