Publications
bioRxivJun 2025 DOI:
10.1101/2025.06.08.658113

Better antibodies engineered with a GLIMPSE of human data

Hepler, N. Lance; Hill, Andrew J.; Jaffe, David B.; Gibbons, Michael C.; Pfeiffer, Katherine A.; Hilton, David L.; Freeman, Melanie; McDonnell, Wyatt J.
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Abstract
Abstract GLIMPSE-1 is a protein language model trained solely on paired human antibody sequences. It captures immunological features and achieves best-in-class performance in humanization benchmarks. We demonstrate the utility of GLIMPSE-1 in humanization; engineering of antibodies for affinity, species cross-reactivity, and key developability parameters; and the creation of highly divergent functional variants with
Product Used
Genes

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