Datasets:
metadata
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.”
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.
@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}
}