metadata
license: apache-2.0
size_categories:
- 100K<n<1M
AntiBERTa Pretraining Data
Description
Pretraining data for the AntiBERTa protein language model from Alchemab Therapeutics.
Citations
@article{Leem_Mitchell_Farmery_Barton_Galson_2022, title={Deciphering the language of antibodies using self-supervised learning}, volume={3}, ISSN={2666-3899}, url={https://www.cell.com/patterns/abstract/S2666-3899(22)00105-2}, DOI={10.1016/j.patter.2022.100513}, number={7}, journal={Patterns}, publisher={Elsevier}, author={Leem, Jinwoo and Mitchell, Laura S. and Farmery, James H. R. and Barton, Justin and Galson, Jacob D.}, year={2022}, month={Jul}, language={English} }