> I expect more breakthroughs from deep understanding and modeling than ML Huh, I would've said exactly the opposite. The feature space of the variations of am

> I expect more breakthroughs from deep understanding and modeling than ML Huh, I would've said exactly the opposite. The feature space of the variations of amino acid sequences is so big that I wouldn't bet on breakthroughs derived from understanding. Most recent advances seem to focus on how specific sequence motifs interact with each other, which are generally only applicable to certain kinds of proteins, but not protein folding as a whole. My prediction would be that next breakthroughs that push the field over the usability limit are derived from more general machine learning advances.