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Machine Learning for Protein Engineering
Directed evolution of proteins has been the most effective method for protein engineering.
FLIP: Benchmark tasks in fitness landscape inference for proteins
Machine learning could enable an unprecedented level of control in protein engineering for therapeutic and industrial applications.
Machine learning-assisted directed protein evolution with combinatorial libraries
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.
Biomolecules
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