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@@ -218,6 +218,20 @@ Possible values provided in [src/abbfn2/data_mode_handler/oas_paired/constants.p
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  ## Citation
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  If you use AbBFN2 in your research, please cite our work:
 
 
 
 
 
 
 
 
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  ```
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- [Citation information to be added]
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- ```
 
 
 
 
 
 
 
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  ## Citation
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  If you use AbBFN2 in your research, please cite our work:
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+ ```bibtex
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+ @article{Guloglu_etal_AbBFN2,
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+ title={AbBFN2: A flexible antibody foundation model based on Bayesian Flow Networks},
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+ author={Bora Guloglu and Miguel Bragan\c{c}a and Alex Graves and Scott Cameron and Timothy Atkinson and Liviu Copoiu},
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+ journal={bioRxiv},
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+ year={2025},
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+ url={}
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+ }
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  ```
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+
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+ ## Related Papers
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+
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+ - **Bayesian Flow Networks:** [Graves et al., 2023](https://arxiv.org/abs/2308.07037)
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+ - **Protein Sequence Modelling with Bayesian Flow Networks (ProtBFN/AbBFN):**
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+ - Paper: [Atkinson et al., 2024](https://www.biorxiv.org/content/10.1101/2024.09.24.614734v1)
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+ - GitHub Repository: [instadeepai/protein-sequence-bfn](https://github.com/instadeepai/protein-sequence-bfn)
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+ - Hugging Face Model: [InstaDeepAI/protein-sequence-bfn](https://huggingface.co/InstaDeepAI/protein-sequence-bfn)