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Updated: Jun 23, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
Published on: March 15, 2019
Linguistics-based formalization of the antibody language as a basis for antibody language models
Mai Ha Vu1, Philippe A Robert2, Rahmad Akbar2
1Department of Linguistics and Scandinavian Studies, University of Oslo, Oslo, Norway. m.h.vu@iln.uio.no.
Abstract:
Apparent parallels between natural language and antibody sequences have led to a surge in deep language models applied to antibody sequences for predicting cognate antigen recognition. However, a linguistic formal definition of antibody language does not exist, and insight into how antibody language models capture antibody-specific binding features remains largely uninterpretable. Here we describe how a linguistic formalization of the antibody language, by characterizing its tokens and grammar, could address current challenges in antibody language model rule mining.
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