Abstract 1550: Bruteforcing immune oncology discovery with computational immuno-engineering

Abstract

Recent Nobel awards in immune checkpoint inhibitor biology, phage display discovery and protein evolution highlight our current golden age of immune oncology research. While it took 15 years to bring anti-CTLA4 and anti-PD1 therapeutics from conception to global patient populations, new advances in synthetic and data driven immune engineering are enabling new therapeutics to be discovered and engineered in weeks rather than years. Here we review ten years of progress in computational optimization of antibody discovery libraries through the lens of high-throughput data collection technologies, with specific case studies of modern repertoire design principles applied to a panel of immune checkpoint targets. We emphasize the case study of PD1, where a computationally optimized library generated over 6500 unique anti-PD1 antibodies in two weeks, including picomolar binders, mouse/cyno/human triple cross-reactive epitopes, antagonists, agonists, and saturated epitope coverage of the target. Citation Format: Sarah Ives, David Maurer, Christina Pettus, Raymond Newland, Valerie Chiou, Shahrad Daraeikia, Chelsea Jones, Kieran Hervold, Giles Day, Chris Smith, Ian D. Waddell, Sawsan Youssef, Jacob Glanville. Bruteforcing immune oncology discovery with computational immuno-engineering [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1550.