Applying Computational Modelling & Machine Learning to Streamline Degrader Optimisation & Accelerate PK Prediction

• Leveraging predictive modelling and ML-driven tools to accelerate degrader design and optimisation
• Evaluating opportunities and limitations of 3D structural modelling to understand ternary complex formation and degradation mechanisms
• Integrating in silico strategies to enhance PK prediction, inform rational design decisions, and streamline development of degraders with improved pharmacokinetic profiles

Speakers:

Christin Rakers

Scientist

Merck