Rapidly produce antigen variants for validation.

De novo development of synthetic immunogenic antigens.

Better understanding of the heterogeneity of immune memory longevity for different pathogens and different individuals.

Ability to increase longevity of specific memory T and B cells.

Modeling and prediction of the correlation between adjuvants and immune memory.

Modeling and prediction of how immune memory formation varies between individuals (with the inclusion of characteristics such as race, ethnicity, geography, and socioeconomic status) for different pathogens.

Automated, large-scale, combinatorial DNA assembly and screening to identify nucleic acid construct designs enabling robust antigen expression.

Low-cost nucleic acid synthesis.

Increase antigen expression through gene expression engineering.

Enable nucleic acid systems for robust expression of multiple antigens.

Improve vector design and delivery methods.

Engineer cells to produce low-levels of antigen to promote longevity of memory immune responses in vivo, while minimizing host immune response against the engineered cells.¹Kedzierska, K., Valkenburg, S. A., Doherty, P. C., Davenport, M. P., & Venturi, V. (2012). Use it or lose it: establishment and persistence of T cell memory. Frontiers in Immunology, 3, 357. View publication.

Use analytics and modeling to identify transcriptional and translational regulatory elements enabling enhanced protein expression.

Deep-learning techniques for understanding “sequence grammar” of regulatory elements.

Increase DNA synthesis and fidelity to build and characterize promoters, circuits, and pathways for antigen production.

Scaled up synthesis of DNA-based antigens.

Develop gene expression tools to increase vaccine (antigen) yield in non-animal expression systems.

Engineer host cells and cell-free systems for high fidelity production of vaccines.

Employ modeling and analytical approaches to identify critical factors affecting vaccine production and quality.