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Biological Foundation Models

AntiFold

University of Oxford (OPIG)
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CategoryBiological Foundation Models
CompanyUniversity of Oxford (OPIG)
PriceFree Open Source
StatusStatus not confirmed
AvailabilityAvailable on GitHub and PyPI
Last checked20/09/2026
FeaturesSpecialized inverse folding model for antibody heavy and light chains, Trained on non-redundant experimental structures from SAbDab and AlphaFold-Multimer predictions, Generates antibody sequence libraries with high stability and developability profiles, Fast inference suitable for screening millions of candidate CDR loops
Entry typeAI Model
Access modeOpen Source
AI roleAntibody Optimization
Input dataNot recorded
Output dataNot recorded
Licence conditionsBSD-3-Clause
Commercial eligibilityOpen source permissive
Compute requirements1x GPU or multi-core CPU
ValidationNot recorded
TypeAntibody inverse folding model
Intended useNot recorded
CompatibilityNot recorded
ManufacturerUniversity of Oxford
Biological applicationAntibody humanization, CDR affinity maturation, and de novo paratope design
Research workflowInput antibody backbone structure -> output high-affinity, humanized sequence candidates
Evidence levelPeer-reviewed publication (Nature Communications 2024)
Integration evidencehttps://github.com/oxpig/AntiFold
Laboratory handoffCandidates compatible with high-throughput antibody expression and SPR binding assays