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  ## Citation
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- ```bibtex
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- @article{Talaei2025.10.31.685149,
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- author = {Talaei, Mahtab and Walker, Kenji C. and Hao, Boran and Jolley, Eliot and Jin, Yeping and Kozakov, Dima and Misasi, John and Vajda, Sandor and Paschalidis, Ioannis Ch. and Joseph-McCarthy, Diane},
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- title = {CDR-aware masked language models for paired antibodies enable state-of-the-art binding prediction},
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- year = {2025},
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- doi = {10.1101/2025.10.31.685149},
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- eprint = {https://www.biorxiv.org/content/early/2025/10/31/2025.10.31.685149.full.pdf},
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- journal = {bioRxiv}
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- }
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-
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- @article{hayes2024simulating,
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- title={Simulating 500 million years of evolution with a language model},
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- author={Hayes, Thomas and Rao, Roshan and Akin, Halil and Sofroniew, Nicholas J and Oktay, Deniz and Lin, Zeming and Verkuil, Robert and Tran, Vincent Q and Deaton, Jonathan and Wiggert, Marius and others},
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- journal={bioRxiv},
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- year={2024}
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- }
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- ```
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  ## Contact
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  ## Citation
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+
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+ Preferential CDR masking in paired antibody language models improves binding affinity prediction
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+ Mahtab Talaei, Kenji C. Walker, Boran Hao, Eliot Jolley, Yeping Jin, Dima Kozakov, John Misasi, Sandor Vajda, Ioannis Ch. Paschalidis, Diane Joseph-McCarthy
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+ bioRxiv 2025.10.31.685149; doi: https://doi.org/10.1101/2025.10.31.685149
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+
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Contact
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