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Dataset Information

AntiFold: improved structure-based antibody design using inverse folding.


ABSTRACT:

Summary

The design and optimization of antibodies requires an intricate balance across multiple properties. Protein inverse folding models, capable of generating diverse sequences folding into the same structure, are promising tools for maintaining structural integrity during antibody design. Here, we present AntiFold, an antibody-specific inverse folding model, fine-tuned from ESM-IF1 on solved and predicted antibody structures. AntiFold outperforms existing inverse folding tools on sequence recovery across complementarity-determining regions, with designed sequences showing high structural similarity to their solved counterpart. It additionally achieves stronger correlations when predicting antibody-antigen binding affinity in a zero-shot manner. AntiFold assigns low probabilitie

SUBMITTER: Hoie MH 

PROVIDER: S-EPMC11961221 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature