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Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design

arXiv q-bio.BM Bioinformatics AI Xiaoliang Shi, Zichen Wang, Runze Ma, Zhongyue Zhang, Shuangjia Zheng 2026-07-22

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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