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Biswas, Surojit, Khimulya, Grigory, Alley, Ethan C., Esvelt, Kevin M., Church, George M. (2021) Low-N protein engineering with data-efficient deep learning. Nature Methods, 18 (4) 389-396 doi:10.1038/s41592-021-01100-y

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Reference TypeJournal (article/letter/editorial)
TitleLow-N protein engineering with data-efficient deep learning
JournalNature Methods
AuthorsBiswas, SurojitAuthor
Khimulya, GrigoryAuthor
Alley, Ethan C.Author
Esvelt, Kevin M.Author
Church, George M.Author
Year2021 (April)Volume18
Issue4
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41592-021-01100-ySearch in ResearchGate
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Mindat Ref. ID13636594Long-form Identifiermindat:1:5:13636594:7
GUID0
Full ReferenceBiswas, Surojit, Khimulya, Grigory, Alley, Ethan C., Esvelt, Kevin M., Church, George M. (2021) Low-N protein engineering with data-efficient deep learning. Nature Methods, 18 (4) 389-396 doi:10.1038/s41592-021-01100-y
Plain TextBiswas, Surojit, Khimulya, Grigory, Alley, Ethan C., Esvelt, Kevin M., Church, George M. (2021) Low-N protein engineering with data-efficient deep learning. Nature Methods, 18 (4) 389-396 doi:10.1038/s41592-021-01100-y
In(2021, April) Nature Methods Vol. 18 (4) Springer Science and Business Media LLC

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Alley, Ethan C., Khimulya, Grigory, Biswas, Surojit, AlQuraishi, Mohammed, Church, George M. (2019) Unified rational protein engineering with sequence-based deep representation learning. Nature Methods, 16 (12). 1315-1322 doi:10.1038/s41592-019-0598-1
Alley, Ethan C., Turpin, Miles, Liu, Andrew Bo, Kulp-McDowall, Taylor, Swett, Jacob, Edison, Rey, Von Stetina, Stephen E., Church, George M., Esvelt, Kevin M. (2020) A machine learning toolkit for genetic engineering attribution to facilitate biosecurity. Nature Communications, 11 (1) doi:10.1038/s41467-020-19612-0
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