Loading BioAtlas...
By University of Oxford (OPIG) →
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.
ℹ️ No direct buying or access link is currently recorded. This product remains available for research and comparison.
Report incorrect data or claim listing
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.
Information checked against an official source; not a hands-on test. Source · Last reviewed: 20/09/2026, 11:09:40 UTC
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}
}Live scientific citations queried from Europe PMC and PubMed for AntiFold.
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
No software–hardware integration has been verified for this entry yet. Explore documented research workflows.
AntiFold Scientific Architecture · Credit: University of Oxford (OPIG) · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
Similar entries from the same category.
Research AI model / method · Research code or publication
All-atom protein structure diffusion conditioned on specific ligand or nucleic acid atomic context.
Baker Lab
AI Model · Research Preview
AI system for generating novel, high-affinity protein binders directly from target structures
Google DeepMind
No verified news linked to this product yet.
Browse all AI news →Available on GitHub and PyPI
Prices reflect the source at its last check. Confirm current pricing and regional availability on the official site.
Feedback from researchers and computational biologists evaluating AntiFold.
No peer reviews submitted yet for AntiFold.
Be the first verified researcher or computational biologist to submit an evaluation of biological accuracy and workflow performance.