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README.md
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license: mit
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# Models for MF-Design
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This repository hosts the pre-trained model checkpoints for the paper **"Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design" (MF-Design)**.
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The main code repository can be found at [MF-Design](https://github.com/yangnianzu0515/mfdesign).
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## Directory Structure
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The `./model` directory contains various trained model checkpoints.
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The following files are sourced from the [Boltz-1](https://github.com/jwohlwend/boltz) repository:
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* `boltz1.ckpt`
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* `boltz1_conf.ckpt`
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* `ccd.pkl`
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* `symmetry.pkl`
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We provide the following checkpoints for our MFDesign models:
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* **MFDesign-D**: Checkpoints for all four training stages are provided.
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* **MFDesign-C**: The checkpoint for the final stage is provided.
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For the final stage of both `MFDesign-D` and `MFDesign-C`, we also provide an additional checkpoint for models that were trained without epitope information.
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## Citation
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If you use MFDesign in your research, please cite our paper:
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```bibtex
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@article{mf_design_2025,
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title={Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design},
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author={Nianzu Yang and Songlin Jiang and Jian Ma and Huaijin Wu and Shuangjia Zheng and Wengong Jin and Junchi Yan},
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journal={
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year={2025},
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url={[https://openreview.net/pdf
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}
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---
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license: mit
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+
---
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| 4 |
+
|
| 5 |
+
# Models for MF-Design
|
| 6 |
+
|
| 7 |
+
This repository hosts the pre-trained model checkpoints for the paper **"Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design" (MF-Design)**.
|
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+
|
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+
The main code repository can be found at [MF-Design](https://github.com/yangnianzu0515/mfdesign).
|
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+
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+
## Directory Structure
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+
|
| 13 |
+
The `./model` directory contains various trained model checkpoints.
|
| 14 |
+
|
| 15 |
+
The following files are sourced from the [Boltz-1](https://github.com/jwohlwend/boltz) repository:
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+
* `boltz1.ckpt`
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+
* `boltz1_conf.ckpt`
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| 18 |
+
* `ccd.pkl`
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+
* `symmetry.pkl`
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+
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+
We provide the following checkpoints for our MFDesign models:
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| 22 |
+
|
| 23 |
+
* **MFDesign-D**: Checkpoints for all four training stages are provided.
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| 24 |
+
* **MFDesign-C**: The checkpoint for the final stage is provided.
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| 25 |
+
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+
For the final stage of both `MFDesign-D` and `MFDesign-C`, we also provide an additional checkpoint for models that were trained without epitope information.
|
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+
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## Citation
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+
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If you use MFDesign in your research, please cite our paper:
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+
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```bibtex
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@article{mf_design_2025,
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title={Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design},
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author={Nianzu Yang and Songlin Jiang and Jian Ma and Huaijin Wu and Shuangjia Zheng and Wengong Jin and Junchi Yan},
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journal={NeurIPS 2025},
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year={2025},
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url={[https://openreview.net/pdf?id=M96edY67nS)}
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}
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