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Protein sequence design with deep generative models
Protein engineering seeks to identify protein sequences with optimized properties.
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
Machine learning-guided directed evolution for protein engineering
Machine learning (ML)-guided directed evolution is a new paradigm for biological design that enables optimization of complex functions.
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