Leveraging Large-Scale Functional & Developability Data to Generate Novel Antibody GPCR Agonists

• Identifying GPCR antibody agonists from millions of NGS reads by learning sequence-activity maps with fine-tuned protein large language models
• Integrating internal and public datasets to evaluate antibody developability to go beyond activity and increase the probability of success
• Designing novel antibodies with high activity and superior developability by leveraging generative models to manage key trade-offs

Speakers:

Sameer Soi

VP Data Science & AI

Abalone Bio