Journal article
AbLang: an antibody language model for completing antibody sequences
- Abstract:
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Motivation
General protein language models have been shown to summarise the semantics of protein sequences into representations that are useful for state-of-the-art predictive methods. However, for antibody specific problems, such as restoring residues lost due to sequencing errors, a model trained solely on antibodies may be more powerful. Antibodies are one of the few protein types where the volume of sequence data needed for such language models is available, for examp... Expand abstract
- Publication status:
- Accepted
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, 1.8MB)
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- Publisher copy:
- 10.1093/bioadv/vbac046
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Authors
Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Bioinformatics Advances Journal website
- Publication date:
- 2022-06-17
- Acceptance date:
- 2022-06-14
- DOI:
- EISSN:
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2635-0041
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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1264135
- Local pid:
- pubs:1264135
- Deposit date:
- 2022-06-19
Terms of use
- Copyright holder:
- Olsen et al.
- Copyright date:
- 2022
- Rights statement:
- ©2022 The Author(s). Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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