SPR wet lab workflows are currently costly and not efficient when large affinity datasets are required for AI model fine-tuning, training, or validation. This results in use of lower resolution BLI or qualitative pull-down library-based assays for affinity data for AI training. This presentation will demonstrate how SPOC technology can be used to synthesize, purify, and obtain true kinetic data (on-rate, off-rate, affinity, and residence time) for thousands of antibody or protein variants against multiple targets in a matter of weeks – generating tens of thousands of datapoints for integration into AI models.
Lydia Gushgari, PhD
SPOC Proteomics
Website: https://spoc.bio/
SPOC Biosciences’ sensor-integrated proteome on chip (SPOC) synthesizes 192-1152 proteins (full-length, peptides, miniproteins) or antibody (VHH, scFv, Fab) drugs directly on biosensor chips (SPR, MALDI) for library-scale kinetic affinity screening supporting AI-enabled and traditional antibody discovery pipelines. SPOC KinetiKx datasets include on-rate (ka), off-rate (kd), affinity (KD), and residence time (t1/2). SPOC’s proprietary Protein NanoFactory production system utilizes cell-free expression with simultaneous capture-purification directly onto SPR chips, reducing time and cost for library-scale dataset generation compared to traditional recombinant protein workflows. SPOC HyperKinetiKx SPR Product Suite supports antibody drug discovery efforts for affinity ranking (AffiRank), affinity maturation (AffiBoost), epitope binning (EpiScope), epitope mapping (AminoMap) and polyreactivity screening (ReactiScan). SPOC HyperSynaptiKx SPR Product Suite is specifically designed to produce on-demand, large-scale, high-resolution datasets for validation and training in AI-driven drug discovery and development. HyperSynaptiKx SPR assays include lab-in-the-loop services for wet lab testing in DBTL cycles (BuildLoopIQ) and customer-defined antibody vs target library-on-library screening (ContactIQ).
