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'The system that Romero’s team created is powered by a relatively simple machine-learning model that relates a protein’s sequence to its function, and proposes sequence changes to improve function. It delivers protein sequences for testing to lab equipment that makes the protein, measures its activity and then feeds the results back to the model to guide a new round of experiments. “We set and forget it,” Romero says.'
