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VHHCorpus-2M is a corpus that contains over two million full-length amino acid sequences of variable domain of heavy chain of heavy chain antibody (VHH).
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We released VHHBERT, a VHH-specific language model pre-trained using VHHCorpus-2M on the [Hugging Face Hub](https://huggingface.co/COGNANO/VHHBERT).
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Further details on VHHCorpus-2M are described in our paper "A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models.”
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## Columns
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- Project Page: https://vhh-corpus.cognanous.com
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- Code: https://github.com/cognano/AVIDa-SARS-CoV-2
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- Pre-trained Model: https://huggingface.co/COGNANO/VHHBERT
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- Paper:
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## Citation
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If you use VHHCorpus-2M in your research, please cite the following paper.
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```bibtex
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```
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VHHCorpus-2M is a corpus that contains over two million full-length amino acid sequences of variable domain of heavy chain of heavy chain antibody (VHH).
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We released VHHBERT, a VHH-specific language model pre-trained using VHHCorpus-2M on the [Hugging Face Hub](https://huggingface.co/COGNANO/VHHBERT).
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Further details on VHHCorpus-2M are described in our paper "[A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models](https://arxiv.org/abs/2405.18749).”
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## Columns
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- Project Page: https://vhh-corpus.cognanous.com
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- Code: https://github.com/cognano/AVIDa-SARS-CoV-2
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- Pre-trained Model: https://huggingface.co/COGNANO/VHHBERT
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- Paper: https://arxiv.org/abs/2405.18749
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## Citation
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If you use VHHCorpus-2M in your research, please cite the following paper.
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```bibtex
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@article{tsuruta2024sars,
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title={A {SARS}-{C}o{V}-2 Interaction Dataset and {VHH} Sequence Corpus for Antibody Language Models},
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author={Hirofumi Tsuruta and Hiroyuki Yamazaki and Ryota Maeda and Ryotaro Tamura and Akihiro Imura},
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journal={arXiv preprint arXiv:2405.18749},
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year={2024}
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}
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```
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