Methods for the directed evolution of proteins

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How researchers see this paper

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Generating functional protein variants with variational autoencoders (2020, background): “Directed evolution approaches enable a more or less random local search of sequence space but are typically limited to the exploration of sequences differing by only a few mutations from a given natural sequence [1, 2].”
Unified rational protein engineering with sequence-only deep representation learning (2019, methodology): “To confirm our cluster assignments, we picked a small set of 3 Cytochrome Oxidase (1,2,3) families from OXBench, 8 proteins total.”
A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters (2018, neutral): “Directed molecular evolution is a powerful strategy for protein engineering 1,2 .”
The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology (2019, background): “3 interchangeable use of the terms, ALE is distinct from the field of ‘directed evolution’ 1 (Packer and Liu, 2015; Arnold, 2018) – ALE finds whatever genome-wide mutations aid 2”
Scalable, continuous evolution of genes at mutation rates above genomic error thresholds (2018, background): “75x10-9 36 From saturation mutagenesis library E861R 66 (1) 1.”
Exploiting sequence and stability information for directing nanobody stability engineering (2017, methodology): “Directed evolution methods, for example, explore the vast sequence space by high-throughput experiments [31].”