Deep generative modeling reveals maturation-linked pairing signatures in human antibodies

Abstract excerpt

Understanding how antibody heavy and light chains pair is critical for decoding immune repertoire architecture and designing therapeutic antibodies. However, most antibody sequence databases lack paired chain information. To address this gap, we developed a two-stage deep learning framework. First, we pre-trained separate transformer-based language models on large corpora of unpaired heavy and light chain sequence...

Topics

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• Amino Acid Sequence
• Antibodies
• Computational Biology
• Germ-Line Mutation
• Monoclonal and Polyclonal Antibodies Research
• Mutation
• RNA and protein synthesis mechanisms
• vaccines and immunoinformatics approaches

Identifiers and source

Literature Corpus work

0a7e27a7-c32b-5a48-86f7-d9f50d5d4ed5

DOI

10.1101/2025.08.24.671684