From Traditional Peptide Discovery to Physics-Based AI Design – A Case Study of GLP-1 & β-Catenin Programs
- Showcasing a traditional drug discovery case study with example of GLP-1 class drugs highlighting the challenges with these approaches
- Demonstrating the application of AI/ML and physics-based tools to design novel peptide binders with drug-like properties, enabling multi-objective optimization toward a potential clinical candidate
- Presenting a case of current β-catenin project using physics-based AI approaches