{
  "id": 12995,
  "url": "https://arxiv.org/abs/2607.20057v1",
  "title": "Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design",
  "summary": "Antibodies are essential proteins that play a central role in immune recognition by binding specific antigen molecules. Although recent protein language models have enabled progress in single-chain protein modeling and generation, they often fall short in antigen-specific antibody design, where effective modeling requires explicit pairing between antibody and antigen, particularly at the epitope level. To address these limitations, we introduce AAMFM, an Antigen-specific Antibody Multimodal Foun",
  "authors": "Xiaoliang Shi, Zichen Wang, Runze Ma, Zhongyue Zhang, Shuangjia Zheng",
  "category": "research",
  "topics": "biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-22T11:59:38.000Z",
  "fetched_at": "2026-07-23T05:10:49.458Z",
  "source_slug": "arxiv-cslg",
  "source_name": "arXiv cs.LG",
  "source_homepage": "https://arxiv.org/list/cs.LG/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12995",
  "original_url": "https://arxiv.org/abs/2607.20057v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}