Current Bioinformatics Seminar
Time: 11AM Tuesdays.
Venue: Davis Auditorium and Online
18 August 2026
Towards data-driven antibody discovery
Kathleen ZeglinskiWEHI
The field of antibody discovery has long relied on low-throughput Sanger sequencing to screen the outputs of complex antibody discovery campaigns, leaving much of the diversity unexplored. Although recent advances in AI protein design promise to obviate the need for these campaigns entirely, at this stage they seem to work best when used to improve existing lead candidate molecules. Thus, there is a clear need for something that bridges these two approaches: a way to deeply profile the outputs of antibody discovery campaigns and then meaningfully interpret the data through a protein informatics lens to find the best possible antibodies. In this seminar, I will discuss our current efforts in this space, with particular emphasis on the development of a workflow for processing and error-correcting long-read antibody sequencing data.