Conference dates: SEPTEMBER 20-22, 2022

Booth: 6

Speaking session

Title: High throughput SPR characterization of multi-specific antibodies: Capabilities and workflow approaches advancing discovery

Speaker: Dan Bedinger, PhD, Carterra

Date: Thursday, September 22, 2022

Time: 10:30 am EDT

Abstract: Selection of bi- and tri-specific binders often require the screening of large combinatorial sample sets derived from panels of single domain binders.  The Carterra LSA platform makes analyzing the binding properties of these molecules straightforward and requires minimal amounts of mAb sample and antigen.   The affinity of the binders to the targets can be measured in several assay formats and used to verify the independence and activity of each binding site for hundreds of clones.   Along with the binding kinetics and specificity measurements, the LSA enables large scale epitope binning to ensure diverse sets of clones are being carried forward to functional evaluation.

Poster session

Title: Improving the screening, selection and deep characterization of biotherapeutic molecules using high-throughput SPR

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-SPRTM) 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.