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MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
Design of Experiments (DOE) is a powerful and pragmatic tool for optimisation but it’s not the only way. Could there be even more powerful alternatives in the age of machine learning, AI and ...
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