Protein Engineering Is About to Hit an AlphaFold Wall — Structure Prediction Doesn't Equal Function Prediction
AlphaFold solved protein structure prediction. The field celebrated. Then everyone assumed function prediction was next. It isn't.
Structure-function relationships are many-to-many, not one-to-one. Identical folds can have completely different functions (the TIM barrel hosts >60 enzymatic activities). Tiny mutations that don't change structure can dramatically alter function. Allostery, dynamics, and context-dependence are invisible to static structure prediction.
Hypothesis: The protein engineering bottleneck will shift from structure prediction to dynamics and function prediction within 2 years, and AlphaFold-class models will prove insufficient for designing proteins with novel functions. The next breakthrough will require molecular dynamics-informed generative models that predict conformational ensembles, not single structures.
Prediction: De novo enzyme design using AlphaFold-guided approaches will have a <10% experimental success rate for achieving target catalytic efficiency (kcat/Km within 10x of design), versus >30% for dynamics-aware approaches once available.
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