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bioRxiv · 10.1101/2025.06.08.658113

Better antibodies engineered with a GLIMPSE of human data

Hepler, N. L.·Hill, A. J.·Jaffe, D. B.·Gibbons, M. C.·Pfeiffer, K. A.·Hilton, D. M.·Freeman, M.·McDonnell, W. J.
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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 <90% sequence identity to a marketed antibody. Learning exclusively from human antibody data enables GLIMPSE-1 to enhance therapeutics and native antibodies based on patterns in the human repertoire. DisclaimerWhile we provide detailed descriptions of experimental methods and success metrics, certain methodological details of GLIMPSE-1 remain proprietary and/or redacted in this work for commercial considerations. We warmly invite researchers and potential collaborators interested in accessing GLIMPSE-1 to connect with our team via partnerships@infinimmune.com.

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Hepler, N. L., Hill, A. J., Jaffe, D. B., Gibbons, M. C., Pfeiffer, K. A., Hilton, D. M., Freeman, M., McDonnell, W. J.. 2025-06-11. Better antibodies engineered with a GLIMPSE of human data. https://doi.org/10.1101/2025.06.08.658113

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