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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- biology |
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- protein |
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- antibody |
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- VHH |
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--- |
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## VHHCorpus-2M |
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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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| Column | Description | |
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| --------------- | --------------------------------------------------------------------------------- | |
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| VHH_sequence | Amino acid sequence of VHH | |
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| subject_species | Species of the subject from which VHH was collected | |
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| subject_name | Name of the subject from which VHH was collected | |
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| subject_sex | Sex of the subject from which VHH was collected | |
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## Links |
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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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@inproceedings{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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booktitle={Advances in Neural Information Processing Systems 37}, |
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year={2024} |
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} |
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``` |