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Unified rational protein engineering with sequence-based deep representation learning

Ethan C. Alley, Grigory Khimulya, Surojit Biswas, Mohammed AlQuraishi, George M. Church

Nature Methods · 2019 · ▲ 1,214 citations

Loss of proteostasis

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Provenance

Source: OpenAlex
DOI: 10.1038/s41592-019-0598-1
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Fetched: 2026-09-16 MST

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APA

Alley, E.C., Khimulya, G., Biswas, S., AlQuraishi, M., & Church, G.M. (2019). Unified rational protein engineering with sequence-based deep representation learning. <em>Nature Methods</em>. https://doi.org/10.1038/s41592-019-0598-1

Vancouver

Alley EC, Khimulya G, Biswas S, AlQuraishi M, Church GM. Unified rational protein engineering with sequence-based deep representation learning. Nature Methods. 2019. doi:10.1038/s41592-019-0598-1.

BibTeX

@unpublished{ethan2019Unifie, title = {Unified rational protein engineering with sequence-based deep representation learning}, author = {Ethan C. Alley and Grigory Khimulya and Surojit Biswas and Mohammed AlQuraishi and George M. Church}, journal = {Nature Methods}, year = {2019}, doi = {10.1038/s41592-019-0598-1}, }