Work

Deep generative modeling captures maturation-dependent pairing patterns in human antibodies

Year: 2025

Type: article

Abstract: light chains exhibited a trimodal similarity distribution, indicating distinct functional pairing modes from promiscuous to highly specific. Our approach demonstrates that sequence-to-sequence modeling can uncover inter-chain dependencies and generate plausible antibody pairs, providing a foundation for computational repertoire analysis and therapeutic design.

Source: iScience

DOI: 10.1016/j.isci.2025.114447

Authors: Lea Brönnimann, Thomas Lemmin, Chiara Rodella

Institution: University of Bern

Language: English

Topic: Monoclonal and Polyclonal Antibodies Research

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $3,240

Funder: Helmut Horten Stiftung