Immuno-Oncology Summit – Boston
Conference dates: OCTOBER 12-14, 2022
Booth: 15
Speaking session
Title: Rapid Characterization of Antibody Therapies Targeting High-Value I-O Targets
Speaker: Noah T. Ditto, MS, MBA
Speaker Title: Technical Product Manager, Carterra
Date: Friday, October 14, 2022
Time: 10:00 – 10:30 am EDT
Abstract: In the highly competitive immune-oncology (I-O) space, effective identification and differentiation of potential therapeutics requires a detailed understanding of mechanism of action (MOA). To maximize the value of sophisticated antibody discovery technologies, MOA needs to be understood at the earliest stages of drug discovery. In these initial stages, candidate numbers can measure in the thousands and precious sample quantities are stretched thin across numerous discovery platforms. This talk will focus on a strategy of I-O therapeutic selection supported by high-throughput surface plasmon resonance (HT-SPR) to increase the potential for efficacious and commercially differentiated antibodies. By front loading characterization efforts in the discovery phase, this approach enables an evolving selection of therapeutic leads dependent on program objectives, biological discoveries, and commercial pressure.
Poster session
Title: Improving the screening, selection and deep characterization of biotherapeutic molecules using high-throughput SPR
Presenter: Nicholas Abuid, PhD
Abstract: Throughput, speed, resolution, and sample consumption are inevitable challenges scientists face when screening biomolecule libraries and working to the goals of discovering and identifying the best lead candidates. Educated selection will often require multiple tests and orthogonal testing confirmation to determine the top candidate. Here we demonstrate how the Carterra LSA, which performs high-throughput surface plasmon resonance (HT-SPR™) can rapidly generate high quality kinetic data from 384 candidates in parallel using a minimal amount of sample material. In addition, the LSA can perform epitope binning on up to 384 candidates per array to obtain unique epitope discrimination and characterization. The LSA is a high-throughput biology solution that enables scientists to characterize binding kinetics, affinity, and epitope specificity on large protein panels with minimal sample consumption, accelerating library-to-lead candidate selection and discovery.