By referring to structures per PhD, it is clear you are influenced by academia, where that is more true. But academia is more concerned with solving novel struc

By referring to structures per PhD, it is clear you are influenced by academia, where that is more true. But academia is more concerned with solving novel structures than industry. In industry, often we have structures of related proteins, giving a couple advantages: Template-based modeling is feasible, a category that AlphaFold didn't win because they didn't use templates; using templates gives better structure prediction than what their free modeling can do. Crystallography conditions are often similar between related proteins and techniques such as molecular replacement make it so we can solve the phasing problem easily, which is often a roadblock as well in academia.