Exploring Data-Driven In Silico Design of Enhanced-Affinity TCRs

• Affinity maturation of TCR biologics is increasingly enabled by the integration of machine learning, high-throughput screening, and biophysical data
• We combine sequence-based models trained on NGS and screening outputs with structure-based approaches informed by historical Biacore and structural datasets
• This integrated framework prioritizes mutations with a high probability of improving affinity, accelerating design cycles while maximizing the value of legacy experimental data

Speakers:

Stephen Harper

Senior Director, In Silico Biologics

Immunocore