The Promise of Physics-Based Models in Drug Discovery

In this chapter, the hosts discuss their passion for applied physics and chemistry, particularly in the field of computational chemistry. They highlight the promise of using physics-based models to understand drug receptor interactions and the excitement around the deep-learning revolution. They also talk about the limitations of previous approaches in machine learning for drug design and the need for rigorous benchmarking and extrapolation of data.