Antibody-specific inverse folding and sequence optimization
AntiFold is an inverse folding model fine-tuned specifically on antibody variable domain structures, providing superior sequence recovery and natural humanness scores for CDR design.
Specialized inverse folding model for antibody heavy and light chainsTrained on non-redundant experimental structures from SAbDab and AlphaFold-Multimer predictionsGenerates antibody sequence libraries with high stability and developability profilesFast inference suitable for screening millions of candidate CDR loops
AntiFold is an inverse folding model fine-tuned specifically on antibody variable domain structures, providing superior sequence recovery and natural humanness scores for CDR design.
Informazioni verificate rispetto a una fonte ufficiale; non un test pratico. Fonte · Ultima revisione: 20/09/2026, 11:09:40 UTC
Caratteristiche principali
Specialized 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
Interactive 3D Illustration
Biological Architecture (Stylized Ribbon)
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Illustrative Confidence Gradient:
>90 High / Low B 70-90 Confident 50-70 Low <50 Very low / High B
Academic Context & Research Evidence
Biological & Workflow Fit
Biological Application
Antibody humanization, CDR affinity maturation, and de novo paratope design
Use this citation format when referencing AntiFold in scientific publications and benchmark papers.
@software{antifold_2026,
title = {{AntiFold}},
author = {{University of Oxford (OPIG)}},
year = {2026},
url = {https://github.com/oxpig/AntiFold},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}
Peer-Reviewed Literature & Preprints
Live scientific citations queried from Europe PMC and PubMed for AntiFold.
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Informazioni tecniche / prodotto
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
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