A Gaussian-process Bayesian optimizer running in protein language model embedding space outperforms regression-based directed evolution baselines on two in silico fitness landscapes.
Machine-learning-guided directed evolution for protein engineering,
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Directed Evolution of Proteins via Bayesian Optimization in Embedding Space
A Gaussian-process Bayesian optimizer running in protein language model embedding space outperforms regression-based directed evolution baselines on two in silico fitness landscapes.