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---
license: cc-by-nc-4.0
tags:
- biology
- protein
- antibody
- VHH
---

## AVIDa-SARS-CoV-2

AVIDa-SARS-CoV-2 is a dataset featuring the antigen-variable domain of heavy chain of heavy chain antibody (VHH) interactions obtained from two alpacas immunized with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins.
AVIDa-SARS-CoV-2 includes binary labels indicating the binding or non-binding of diverse VHH sequences to 12 SARS-CoV-2 mutants, such as the Delta and Omicron variants.
Further details on AVIDa-SARS-CoV-2 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).”

## Columns

**AVIDa-SARS-CoV-2.csv / train.csv / test.csv**

| Column          | Description                                                                       |
| --------------- | --------------------------------------------------------------------------------- |
| VHH_sequence    | Amino acid sequence of VHH                                                        |
| Ag_label        | Antigen Type                                                                      |
| label           | Binary label represented by 1 for the binding pair and 0 for the non-binding pair |
| subject_species | Species of the subject from which VHH was collected                               |
| subject_name    | Name of the subject from which VHH was collected                                  |
| subject_sex     | Sex of the subject from which VHH was collected                                   |

**antigen_sequences.csv**

| Column      | Description                    |
| ----------- | ------------------------------ |
| Ag_label    | Antigen Type                   |
| Ag_sequence | Amino acid sequence of antigen |

## Links

- Project Page: https://avida-sars-cov-2.cognanous.com
- Code: https://github.com/cognano/AVIDa-SARS-CoV-2
- Paper: https://arxiv.org/abs/2405.18749

## Citation

If you use AVIDa-SARS-CoV-2 in your research, please cite the following paper.

```bibtex
@inproceedings{tsuruta2024sars,
  title={A {SARS}-{C}o{V}-2 Interaction Dataset and {VHH} Sequence Corpus for Antibody Language Models},
  author={Hirofumi Tsuruta and Hiroyuki Yamazaki and Ryota Maeda and Ryotaro Tamura and Akihiro Imura},
  booktitle={Advances in Neural Information Processing Systems 37},
  year={2024}
}
```