Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design
Merged summary
TL;DR - AAMFM jointly models antibody sequences, structures, and antigen context to design antibodies for specific targets. It matters because antigen and epitope conditioning may improve the functional relevance of generated antibodies.
- Uses a cross-modal adapter to incorporate antigen interfaces and epitope annotations.
- Represents antibody-antigen interactions in a shared latent space.
- Applies Calibrated Direct Preference Optimization using structural-prior preference signals.
- The authors report state-of-the-art functional antibody design performance and provide open-source code.
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Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design
TL;DR - AAMFM jointly models antibody sequences, structures, and antigen context to design antibodies for specific targets. It matters because antigen and epitope conditioning may improve the functional relevance of generated antibodies.
- Uses a cross-modal adapter to incorporate antigen interfaces and epitope annotations.
- Represents antibody-antigen interactions in a shared latent space.
- Applies Calibrated Direct Preference Optimization using structural-prior preference signals.
- The authors report state-of-the-art functional antibody design performance and provide open-source code.