references.bib

@article{lin2023evolutionary,
  title={Evolutionary-scale prediction of atomic-level protein structure with a language model},
  author={Lin, Zeming and Akin, Halil and Rao, Roshan and Hie, Brian and Zhu, Zhongkai and Lu, Wenting and Smetanin, Nikita and Verkuil, Robert and Kabeli, Ori and Shmueli, Yaniv and others},
  journal={Science},
  volume={379},
  number={6637},
  pages={1123--1130},
  year={2023},
  publisher={American Association for the Advancement of Science}
}

@inproceedings{meier2021language,
  title={Language models enable zero-shot prediction of the effects of mutations on protein function},
  author={Meier, Joshua and Rao, Roshan and Verkuil, Robert and Liu, Jason and Sercu, Tom and Rives, Alexander},
  booktitle={Advances in Neural Information Processing Systems},
  volume={34},
  year={2021}
}

@article{landrum2018clinvar,
  title={ClinVar: improving access to variant interpretations and supporting evidence},
  author={Landrum, Melissa J and Lee, Jennifer M and Benson, Mark and Brown, Garth R and Chao, Chen and Chitipiralla, Shanmuga and Gu, Baoshan and Hart, Jennifer and Hoffman, Douglas and Jang, Wonhee and others},
  journal={Nucleic Acids Research},
  volume={46},
  number={D1},
  pages={D1062--D1067},
  year={2018},
  publisher={Oxford University Press}
}

@misc{bonetto2026spectralguard,
  title={SpectralGuard: Detecting Hidden State Poisoning Attacks in Mamba-based State Space Models via Spectral Radius Monitoring},
  author={Bonetto, Davi},
  year={2026},
  eprint={2603.12414},
  archivePrefix={arXiv},
  primaryClass={cs.CR}
}

@inproceedings{notin2023proteingym,
  title={ProteinGym: Large-scale benchmarks for protein fitness prediction and design},
  author={Notin, Pascal and Dias, Mafalda and Frazer, Jonathan and Hurtado, Javier Marchena and Gomez, Aidan N and Marks, Debora and Gal, Yarin},
  booktitle={Advances in Neural Information Processing Systems},
  volume={36},
  year={2023}
}