Back to search

Article

AbLang: An antibody language model for completing antibody sequences

2022-01-22

Abstract excerpt

<h4>Motivation</h4> 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...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0810daf0-4a2c-5fe8-82e0-a3acea44fb17
DOI
10.1101/2022.01.20.477061
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
AbLang: An antibody language model for completing antibody sequencesDOI 10.1101/2022.01.20.477061
Select a neighboring publication to make it the new centre.