Deep Learning with Proteins

deep learning with proteins is cool academically, but it's currently hitting a wall of computational cost. we're talking about massive datasets and models that demand serious GPU clusters just to simulate folding. it's impressive science, sure, but translating that into a deployable solution that doesn't cost a fortune on AWS is the hard part.

I don't see this translating into immediate agency work unless someone's selling a highly specialized biotech API. the current bottleneck isn't the algorithm; it's the access to the necessary compute and the data quality. we're still wrestling with error rates and physical constraints, not just training epochs.