Better antibodies engineered with a GLIMPSE of human data

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. Disclaimer While 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{at}infinimmune.com. Competing Interest Statement The authors are current or former employees, executives, or officers of Infinimmune, Inc. and may hold company stock or stock options. K.A.P., M.C.G., and W.J.M. are officers of Infinimmune, Inc. Several authors are inventors on provisional patent and patent applications assigned to Infinimmune, Inc. related to therapeutic antibodies and antibody-related technologies. Footnotes Revised and/or removed sections/figures that were not essential to the core findings.