Authors
José Juan Almagro Armenteros, Konstantinos D Tsirigos, Casper Kaae Sønderby, Thomas Nordahl Petersen, Ole Winther, Søren Brunak, Gunnar von Heijne, Henrik Nielsen
Publication date
2019/4
Journal
Nature biotechnology
Volume
37
Issue
4
Pages
420-423
Publisher
Nature Publishing Group US
Description
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.
Scholar articles
JJ Almagro Armenteros, KD Tsirigos, CK Sønderby… - Nature biotechnology, 2019