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Attribute
Biological Foundation Models

DiffAb

Tsinghua University (AIR)
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CategoryBiological Foundation Models
CompanyTsinghua University (AIR)
PriceFree Open Source
StatusStatus not confirmed
AvailabilityAvailable on GitHub
Last checked20/09/2026
FeaturesJoint structure-sequence diffusion on antibody CDR-H3 and light chain loops, Antigen-conditioned generation with physical clash penalties, Benchmark evaluations showing higher affinity and diversity than RosettaAntibody, Open source codebase with PyTorch and PyG implementations
Entry typeAI Model
Access modeOpen Source
AI roleEquivariant Generative Diffusion
Input dataNot recorded
Output dataNot recorded
Licence conditionsMIT License
Commercial eligibilityOpen source release
Compute requirements1x GPU (>= 16GB VRAM)
ValidationNot recorded
TypeEquivariant diffusion model
Intended useNot recorded
CompatibilityNot recorded
ManufacturerTsinghua University
Biological applicationAntibody CDR design, therapeutic optimization, and paratope engineering
Research workflowTarget antigen PDB -> generate complementary CDR conformations and sequences
Evidence levelPeer-reviewed research (ICLR 2023)
Integration evidencehttps://github.com/luost26/diffab
Laboratory handoffCompatible with phage display and high-throughput antibody expression