>>> Am I the only one to lament these black-box approaches? Far from it. Prediction looks like a tool in the arsenal for better understanding. One still has to

>>> Am I the only one to lament these black-box approaches? Far from it. Prediction looks like a tool in the arsenal for better understanding. One still has to correlate the structure with the complex interactions in vivo. Even using AI in classification mode, where we can segment a large atlas of tumor cells and identify a dozen or so classes of cell anomalies may lead to faster breakthroughs in immunotherapy. What I am trying to wrap my head around is the synthesis problem. Say AlphaFold generates a promising candidate. One that does not exist naturally. You still need the DNA or mRNA transcription sequence to synthesize the protein, right? Won't some candidates simply be too complex and unstable to reliably produce using existing mammalian or baculovirus platforms?