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Felix Teufel, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Magnús Halldór Gíslason, Silas Irby Pihl, Konstantinos D. Tsirigos, Ole Winther, Søren Brunak, Gunnar von HEIJNE, Henrik Nielsen
Signal peptides (SPs) are short amino acid sequences that control protein secretion and translocation in all living organisms. As experimental characterization of SPs is costly, prediction algorithms are applied to predict them from sequence data. However, existing methods are unable to detect all known types of SPs. We introduce SignalP 6.0, the first model capable of detecting all five SP types. Additionally, the model accurately identifies the positions of regions within SPs, revealing the defining biochemical properties that underlie the function of SPs in vivo . Results show that SignalP 6.0 has improved prediction performance, and is the first model to be applicable to metagenomic data. SignalP 6.0 is available at https://services.healthtech.dtu.dk/service.php?SignalP-6.0
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Teufel, F., Armenteros, J. J. A., Johansen, A. R., Gíslason, M. H., Pihl, S. I., Tsirigos, K. D., Winther, O., Brunak, S., HEIJNE, G. V., & Nielsen, H. (2022). SignalP 6.0 predicts all five types of signal peptides using protein language models. Nature Biotechnology, 40(7), 1023–1025. https://doi.org/10.1038/s41587-021-01156-3
Teufel, Felix, et al. "SignalP 6.0 predicts all five types of signal peptides using protein language models." Nature Biotechnology, vol. 40, no. 7, 2022, pp. 1023–1025, https://doi.org/10.1038/s41587-021-01156-3.
Teufel, Felix, José Juan Almagro Armenteros, Alexander Rosenberg Johansen, Magnús Halldór Gíslason, Silas Irby Pihl, Konstantinos D. Tsirigos, Ole Winther, Søren Brunak, Gunnar von HEIJNE, and Henrik Nielsen. "SignalP 6.0 predicts all five types of signal peptides using protein language models." Nature Biotechnology 40, no. 7 (2022): 1023–1025. https://doi.org/10.1038/s41587-021-01156-3.
Teufel F., Armenteros J. J. A., Johansen A. R. [и др.] SignalP 6.0 predicts all five types of signal peptides using protein language models // Nature Biotechnology. — 2022. — Vol. 40, № 7. — P. 1023–1025. — URL: https://doi.org/10.1038/s41587-021-01156-3
@article{teufel2022signalp,
title = {{SignalP 6.0 predicts all five types of signal peptides using protein language models}},
author = {Felix Teufel and José Juan Almagro Armenteros and Alexander Rosenberg Johansen and Magnús Halldór Gíslason and Silas Irby Pihl and Konstantinos D. Tsirigos and Ole Winther and Søren Brunak and Gunnar von HEIJNE and Henrik Nielsen},
journal = {Nature Biotechnology},
year = {2022},
volume = {40},
number = {7},
pages = {1023--1025},
doi = {10.1038/s41587-021-01156-3},
url = {https://doi.org/10.1038/s41587-021-01156-3}
}TY - JOUR AU - Teufel, Felix AU - Armenteros, José Juan Almagro AU - Johansen, Alexander Rosenberg AU - Gíslason, Magnús Halldór AU - Pihl, Silas Irby AU - Tsirigos, Konstantinos D. AU - Winther, Ole AU - Brunak, Søren AU - HEIJNE, Gunnar von AU - Nielsen, Henrik TI - SignalP 6.0 predicts all five types of signal peptides using protein language models JO - Nature Biotechnology VL - 40 IS - 7 SP - 1023 EP - 1025 PY - 2022 DA - 2022/01/03 DO - 10.1038/s41587-021-01156-3 UR - https://doi.org/10.1038/s41587-021-01156-3 ER -
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