COGNANO/VHHCorpus-2M

VHHCorpus-2M

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). We released VHHBERT, a VHH-specific language model pre-trained using VHHCorpus-2M on the Hugging Face Hub. Further details on VHHCorpus-2M are described in our paper "A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models.”

Columns

Column	Description
VHH_sequence	Amino acid sequence of VHH
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

Links

• Project Page: https://vhh-corpus.cognanous.com
• Code: https://github.com/cognano/AVIDa-SARS-CoV-2
• Pre-trained Model: https://huggingface.co/COGNANO/VHHBERT
• Paper: https://arxiv.org/abs/2405.18749

Citation

If you use VHHCorpus-2M 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}
}