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Journal article

AbLang: an antibody language model for completing antibody sequences

Abstract:
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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Publisher copy:
10.1093/bioadv/vbac046

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
St Anne's College
Role:
Author
ORCID:
0000-0002-6348-4650
Publisher:
Oxford University Press Publisher's website
Journal:
Bioinformatics Advances Journal website
Publication date:
2022-06-17
Acceptance date:
2022-06-14
DOI:
EISSN:
2635-0041
Language:
English
Keywords:
Pubs id:
1264135
Local pid:
pubs:1264135
Deposit date:
2022-06-19

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