I constantly use AlphaFold structures today [1]. And AlphaFold is fantastic. But it only replaces one small step in solving any real-world problem involving proteins such as designing a safe, therapeutic protein binder to interrupt cancer-associated protein-protein interactions or designing an enzyme to degrade PFAS.
I think the primary achievement is that it gets protein structures in front of a lot more smart eyes, and for a lot more proteins. For “everyone else” who never needed to master computational protein structure prediction workflows before, they now have easy access to the rich, function-determinative structural information they need to understand and solve their problem.
The real tough problem in protein design is how to use these structure predictions to understand and ultimately create proteins we care about.
1. https://alexcarlin.bearblog.dev/multistate-protein-design-wi...
Malaria’s complex lifecycle [1] seems like it would be easy to “break” with different interventions, but we’ve seen historically malaria has been difficult to eradicate. Why is this?
1. https://en.m.wikipedia.org/wiki/Plasmodium#/media/File%3ALif...