Machine learning-assisted directed protein evolution with combinatorial libraries

19 Feb 2019Zachary WuS. B. Jennifer KanRussell D. LewisBruce J. WittmannFrances H. Arnold

To reduce experimental effort associated with directed protein evolution and to explore the sequence space encoded by mutating multiple positions simultaneously, we incorporate machine learning in the directed evolution workflow. Combinatorial sequence space can be quite expensive to sample experimentally, but machine learning models trained on tested variants provide a fast method for testing sequence space computationally... (read more)

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