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Attribute
Biological Foundation Models

RFdiffusion All-Atom (RFdiffusionAA)

Institute for Protein Design (Baker Lab)
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CategoryBiological Foundation Models
CompanyInstitute for Protein Design (Baker Lab)
PriceFree for academic research / Paid commercial license
StatusStatus not confirmed
AvailabilityAvailable on GitHub
Last checked20/09/2026
FeaturesDe novo design of protein binding pockets around specified small molecules, Co-generation of protein binders with coordinated catalytic ions and cofactors, Full atomic coordinate representation during the reverse diffusion trajectory, Seamless integration with LigandMPNN for sequence design
Entry typeAI Model / Software
Access modeAcademic Open Source
AI roleDe Novo Molecular Diffusion
Input dataNot recorded
Output dataNot recorded
Licence conditionsOpen Source for academic research; commercial license required for for-profit use
Commercial eligibilityCommercial licensing available through University of Washington CoMotion
Compute requirements1x NVIDIA A100 or RTX 4090 GPU (>= 24GB VRAM)
ValidationNot recorded
TypeGenerative all-atom diffusion model
Intended useNot recorded
CompatibilityNot recorded
ManufacturerInstitute for Protein Design
Biological applicationEnzyme active site design, small molecule sensor engineering, and drug receptor design
Research workflowDiffusion of protein backbone and sidechains around explicit ligand coordinates
Evidence levelPeer-reviewed research (Science 2024)
Integration evidencehttps://github.com/baker-laboratory/rf_diffusion_all_atom
Laboratory handoffDesigns validated via yeast surface display and biolayer interferometry (BLI)