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. 2019 Apr;37(4):420-423.
doi: 10.1038/s41587-019-0036-z. Epub 2019 Feb 18.

SignalP 5.0 improves signal peptide predictions using deep neural networks

José Juan Almagro Armenteros  1 , Konstantinos D Tsirigos  1   2   3   4 , Casper Kaae Sønderby  5 , Thomas Nordahl Petersen  6 , Ole Winther  5   7 , Søren Brunak  1   8 , Gunnar von Heijne  2   3 , Henrik Nielsen  9
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SignalP 5.0 improves signal peptide predictions using deep neural networks

José Juan Almagro Armenteros et al. Nat Biotechnol. 2019 Apr.

Abstract

Signal peptides (SPs) are short amino acid sequences in the amino terminus of many newly synthesized proteins that target proteins into, or across, membranes. Bioinformatic tools can predict SPs from amino acid sequences, but most cannot distinguish between various types of signal peptides. We present a deep neural network-based approach that improves SP prediction across all domains of life and distinguishes between three types of prokaryotic SPs.

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