AI redesign aids protein evolution with better starting points and outcomes
Researchers have used artificial intelligence to redesign both the starting sequences and the target outcomes in protein directed evolution, significantly enhancing the efficiency of the process. This approach could accelerate the development of novel proteins for medical therapies, industrial enzymes, and other applications by reducing the number of experimental iterations needed.
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