p-IgGen: a paired antibody generative language model
The model and inference code are freely available at www.github.com/oxpig/p-IgGen. Cleaned training data are deposited at doi.org/10.5281/zenodo.13880874.
Authors
- Rebecca Croasdale-Wood (ORCID: https://orcid.org/0009-0003-4710-8414)
- Charlotte M. Deane (ORCID: https://orcid.org/0000-0003-1388-2252)
- Oliver M. Turnbull (ORCID: https://orcid.org/0000-0002-0239-1207)
- Dino Oglić (ORCID: https://orcid.org/0000-0002-4728-9644)
Institutions
- AstraZeneca (United Kingdom) (GB)
- University of Oxford (GB)
- AstraZeneca (Brazil) (BR)
- AstraZeneca (Poland) (PL)
- Oxford BioMedica (United Kingdom) (GB)
- Science Oxford (GB)
Publication Details
- Journal
- Bioinformatics
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1093/bioinformatics/btae659
- Citations
- 15
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 6.06
Funders
- AstraZeneca
- Engineering and Physical Sciences Research Council