NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning

Magnus Haraldson Høie; Erik Nicolas Kiehl; Bent Petersen; Morten Nielsen; Ole Winther; Henrik Nielsen; Jeppe Hallgren; Paolo Marcatili

doi:10.1093/nar/gkac439

NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning

Magnus Haraldson Høie, Erik Nicolas Kiehl, Bent Petersen, Morten Nielsen, Ole Winther, Henrik Nielsen, Jeppe Hallgren, Paolo Marcatili^*

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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Original language	English
Journal	Nucleic Acids Research
Volume	50
Issue number	W1
Pages (from-to)	W510-W515
Number of pages	6
ISSN	0305-1048
DOIs	https://doi.org/10.1093/nar/gkac439
Publication status	Published - 2022

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10.1093/nar/gkac439Licence: CC BY

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NetSurfP-3.0 : accurate and fast prediction of protein structural features by protein language models and deep learning. / Høie, Magnus Haraldson; Kiehl, Erik Nicolas; Petersen, Bent; Nielsen, Morten; Winther, Ole; Nielsen, Henrik; Hallgren, Jeppe; Marcatili, Paolo.

In: Nucleic Acids Research, Vol. 50, No. W1, 2022, p. W510-W515.

Research output: Contribution to journal › Journal article › Research › peer-review

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AU - Høie, Magnus Haraldson

AU - Kiehl, Erik Nicolas

AU - Petersen, Bent

AU - Nielsen, Morten

AU - Winther, Ole

AU - Nielsen, Henrik

AU - Hallgren, Jeppe

AU - Marcatili, Paolo

PY - 2022

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DO - 10.1093/nar/gkac439

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SP - W510-W515

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

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