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