Abstract: Carterra’s HT-SPR platforms set the bar for throughput and scalability in biologics discovery and now bring that same throughput to small molecule and fragment screening. By delivering high-resolution kinetics at high throughput, Carterra instruments generate the volume and quality of binding data that machine learning models require, turning SPR from a validation step into a training-data engine for AI-guided design. The “One on Many” platforms are the instrument of choice for binding studies in Lab-in-the-Loop antibody discovery, while the Carterra Vega enables rapid screening and characterization of large analyte libraries for compound library screening and large-scale SAR. This talk reviews HT-SPR applications and implementation strategies powering the next generation of AI-driven discovery and model-training workflows.
Speaker:
Daniel Bedinger
Director of Application Science
Carterra