doi:10.3929/ethz-b-000524414Repository for Publications and Research Data (ETH Zurich) · 2022

SignalP 6.0 predicts all five types of signal peptides using protein language models

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

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Published: 2022-07-01
Venue: Repository for Publications and Research Data (ETH Zurich)
Cited by: 1,905
Open access: Yes, green
DOI: 10.3929/ethz-b-000524414

Abstract

Signal peptides (SPs) are short amino acid sequences that control protein secretion and translocation in all living organisms. SPs can be predicted from sequence data, but existing algorithms are unable to detect all known types of SPs. We introduce SignalP 6.0, a machine learning model that detects all five SP types and is applicable to metagenomic data.

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@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 = {Repository for Publications and Research Data (ETH Zurich)}, year = {2022}, doi = {10.3929/ethz-b-000524414}, url = {https://doi.org/10.3929/ethz-b-000524414} }

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 - Repository for Publications and Research Data (ETH Zurich) PY - 2022 DA - 2022/07/01 DO - 10.3929/ethz-b-000524414 UR - https://doi.org/10.3929/ethz-b-000524414 ER -

SignalP 6.0 predicts all five types of signal peptides using protein language models

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SignalP 6.0 predicts all five types of signal peptides using protein language models

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