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What Do Generative Models Learn About Adaptive Immune Receptor Repertoires? A Benchmark Study

2026-07-16

Abstract excerpt

Generative models are increasingly used to model adaptive immune receptor repertoire (AIRR) sequence distributions, promising to decode the sequence diversity shaping immune responses and accelerate the design of therapeutic antibodies and T-cell receptors. Yet it remains unclear whether these models produce biologically meaningful outputs or merely capture surface-level sequence statistics while missing features...

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Literature Corpus work
97ba4403-be1f-5495-bfd5-de8a8fd1d1f9
DOI
10.64898/2026.07.10.737788
Open publication

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