The course provides an in-depth understanding of how the precise structure and dynamic behavior of biomolecular drugs affect their function. Students gain theoretical and practical skills in generating and analyzing datasets with a focus on small-angle scattering (SAS) and cryo-electron microscopy (cryo-EM).
The course also covers computational modeling for atomistic refinement and detailed characterization of biomolecular structures and their ensembles. It discusses how these methods, combined with ongoing innovation in machine learning, are accelerating modern drug development.
Furthermore, students develop a foundation in the mathematical principles required to generate, refine, and analyze biomolecular structures, preparing them to be able to generate and interpret data from large-scale research infrastructures.
During the course, students apply their knowledge in a project, where they propose, evaluate, and explore case studies in biomolecular drug development.
