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| arxiv: 2607.20057 | |
| license: mit | |
| tags: | |
| - protein | |
| - antibody | |
| - antibody-design | |
| - multimodal | |
| - biological-sequence-modeling | |
| - structure-aware | |
| # AAMFM: Antigen-specific Antibody Multi-modal Foundation Model | |
| **AAMFM** is a multi-modal foundation model for antigen-specific functional | |
| antibody design. It jointly models antibody sequence and structure, conditioned | |
| on antigen geometry and epitope annotations. | |
| [[Paper]](https://arxiv.org/abs/2607.20057) | |
| [[Code]](https://github.com/XL-S224/AAMFM) | |
| <p align="center"> | |
| <img src="https://raw.githubusercontent.com/XL-S224/AAMFM/main/assets/aamfm-overview.png" alt="Overview of AAMFM" width="100%"> | |
| </p> | |
| <p align="center"><em>Hierarchical training and inference pipeline of AAMFM.</em></p> | |
| ## Model description | |
| AAMFM follows a hierarchical training strategy: | |
| 1. **Antibody-domain adaptation:** continual pre-training on paired antibody | |
| sequence--structure data. | |
| 2. **Antigen-specific supervised fine-tuning:** a lightweight adapter fuses | |
| antigen geometric features with epitope information. | |
| 3. **Preference alignment:** calibrated DPO aligns the model with | |
| structure-based functional preferences and sequence plausibility. | |
| At inference time, the model is conditioned on an antigen, epitope-site | |
| annotations, and antibody framework sequences to generate CDR sequences and a | |
| complete antibody structure. | |
| ## Checkpoint | |
| | File | Description | | |
| | --- | --- | | |
| | **AAMFM.pt** | AAMFM model checkpoint. | | |
| ## Usage | |
| Use this checkpoint with the official | |
| [AAMFM code repository](https://github.com/XL-S224/AAMFM). The repository | |
| contains the training, generation, evaluation, and pseudo-log-likelihood | |
| utilities, together with instructions for the required external assets. | |
| Generation requires a compatible base-model backend, its externally supplied | |
| weights, antigen geometric features, and antigen/epitope inputs. See the | |
| [repository README](https://github.com/XL-S224/AAMFM#readme) for the complete | |
| environment and runtime setup. | |
| ## Intended use and limitations | |
| This checkpoint is intended for research in computational antibody design. Its | |
| outputs are computational candidates, not experimentally validated antibodies, | |
| and must not be used for clinical, diagnostic, or therapeutic decisions without | |
| appropriate experimental validation and expert review. | |
| ## Citation | |
| If you use AAMFM, please cite: | |
| @article{shi2026aamfm, | |
| title={Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design}, | |
| author={Shi, Xiaoliang and Wang, Zichen and Ma, Runze and Zhang, Zhongyue and Zheng, Shuangjia}, | |
| journal={arXiv preprint arXiv:2607.20057}, | |
| year={2026} | |
| } | |
| ## License | |
| The AAMFM checkpoint and the accompanying | |
| [source-code repository](https://github.com/XL-S224/AAMFM) are released under | |
| the [MIT License](https://opensource.org/license/mit). | |