The race to crack one of biology’s grandest challenges — predicting the 3D structures of proteins from their amino-acid sequences — is intensifying, thanks to new artificial-intelligence (AI) approaches.
Machine learning predicts the look of stem cells.
At the core of AlQuraishi’s system is a neural network, a type of algorithm inspired by the brain’s wiring that learns from examples.

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